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https://github.com/codefresh-io/codefresh-onprem-helm

Codefresh platform Helm chart for on-premises installation
https://github.com/codefresh-io/codefresh-onprem-helm

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Codefresh platform Helm chart for on-premises installation

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## Codefresh On-Premises

![Version: 0.0.0](https://img.shields.io/badge/Version-0.0.0-informational?style=flat-square) ![AppVersion: 0.0.0](https://img.shields.io/badge/AppVersion-0.0.0-informational?style=flat-square)

Helm chart for deploying [Codefresh On-Premises](https://codefresh.io/docs/docs/getting-started/intro-to-codefresh/) to Kubernetes.

## Table of Content

- [Prerequisites](#prerequisites)
- [Get Repo Info](#get-repo-info)
- [Install Chart](#install-chart)
- [Changes to the Bitnami catalog](#changes-to-the-bitnami-catalog)
- [Chart Configuration](#chart-configuration)
- [Persistent services](#persistent-services)
- [Configuring external services](#configuring-external-services)
- [External MongoDB](#external-mongodb)
- [External MongoDB with MTLS](#external-mongodb-with-mtls)
- [External PostgresSQL](#external-postgressql)
- [External Redis](#external-redis)
- [External Redis with MTLS](#external-redis-with-mtls)
- [External RabbitMQ](#external-rabbitmq)
- [External Consul](#external-consul)
- [External Nats](#external-nats)
- [BoltDB data in Cronus service](#boltdb-data-in-cronus-service)
- [Configuring Ingress-NGINX](#configuring-ingress-nginx)
- [ELB with SSL Termination (Classic Load Balancer)](#elb-with-ssl-termination-classic-load-balancer)
- [NLB (Network Load Balancer)](#nlb-network-load-balancer)
- [Configuration with ALB (Application Load Balancer)](#configuration-with-alb-application-load-balancer)
- [Configuration with Private Registry](#configuration-with-private-registry)
- [Configuration with multi-role CF-API](#configuration-with-multi-role-cf-api)
- [High Availability](#high-availability)
- [Mounting private CA certs](#mounting-private-ca-certs)
- [Installing on OpenShift](#installing-on-openshift)
- [Firebase Configuration](#firebase-configuration)
- [Additional configuration](#additional-configuration)
- [Retention policy for builds and logs](#retention-policy-for-builds-and-logs)
- [Projects pipelines limit](#projects-pipelines-limit)
- [Enable session cookie](#enable-session-cookie)
- [X-Frame-Options response header](#x-frame-options-response-header)
- [Image digests in containers](#image-digests-in-containers)
- [Hermes configuration](#hermes-configuration)
- [Configuring OIDC Provider](#configuring-oidc-provider)
- [Maintaining MongoDB indexes](#maintaining-mongodb-indexes)
- [Upgrading](#upgrading)
- [To 2.0.0](#to-2-0-0)
- [To 2.0.12](#to-2-0-12)
- [To 2.0.17](#to-2-0-17)
- [To 2.1.0](#to-2-1-0)
- [To 2.1.7](#to-2-1-7)
- [To 2.2.0](#to-2-2-0)
- [To 2.3.0](#to-2-3-0)
- [To 2.4.0](#to-2-4-0)
- [To 2.5.0](#to-2-5-0)
- [To 2.6.0](#to-2-6-0)
- [To 2.7.0](#to-2-7-0)
- [To 2.8.0](#to-2-8-0)
- [To 2.9.0](#to-2-9-0)
- [To 2.9.9](#to-2-9-9)
- [Rollback](#rollback)
- [Troubleshooting](#troubleshooting)
- [Values](#values)

⚠️⚠️⚠️
> Since version 2.1.7 chart is pushed **only** to OCI registry at `oci://quay.io/codefresh/codefresh`

> Versions prior to 2.1.7 are still available in ChartMuseum at `http://chartmuseum.codefresh.io/codefresh`

## Prerequisites

- Kubernetes **>= 1.28 && <= 1.32** (Supported versions mean that installation passed for the versions listed; however, it **may** work on older k8s versions as well)
- Helm **3.8.0+**
- PV provisioner support in the underlying infrastructure (with [resizing](https://kubernetes.io/blog/2018/07/12/resizing-persistent-volumes-using-kubernetes/) available)
- Minimal 4vCPU and 8Gi Memory available in the cluster (for production usage the recommended minimal cluster capacity is at least 12vCPUs and 36Gi Memory)
- GCR Service Account JSON `sa.json` (provided by Codefresh, contact support@codefresh.io)
- Firebase [Realtime Database URL](https://firebase.google.com/docs/database/web/start#create_a_database) with [legacy token](https://firebase.google.com/docs/database/rest/auth#legacy_tokens). See [Firebase Configuration](#firebase-configuration)
- Valid TLS certificates for Ingress
- When [external](#external-postgressql) PostgreSQL is used, `pg_cron` and `pg_partman` extensions **must be enabled** for [analytics](https://codefresh.io/docs/docs/dashboards/home-dashboard/#pipelines-dashboard) to work (see [AWS RDS example](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/PostgreSQL_pg_cron.html#PostgreSQL_pg_cron.enable)). The `pg_cron` extension should be the 1.4 version or higher for Azure Postgres DB.
- Redis persistent storage is required for CRON triggers in CI pipelines. Make sure that your external Redis instance supports persistence (AOF or RDB). It's recommended to deploy in-cluster Redis with persistence enabled (e.g. [bitnami/redis](https://github.com/bitnami/charts/tree/main/bitnami/redis) or [redis-ha](https://github.com/DandyDeveloper/charts/blob/master/charts/redis-ha/Chart.yaml)). See [Hermes configuration](#hermes-configuration) for more details.

## Get Repo Info

```console
helm show all oci://quay.io/codefresh/codefresh
```
See [Use OCI-based registries](https://helm.sh/docs/topics/registries/)

## Install Chart

**Important:** only helm 3.8.0+ is supported

> ⚠️ The default chart configuration with embedded databases is **not intended for production usage**! You should use Cloud PaaS for MongoDB, PostgreSQL, Redis and RabbitMQ.
See [Configuring external services](#configuring-external-services) section for details.

Edit default `values.yaml` or create empty `cf-values.yaml`

- Pass `sa.json` (as a single line) to `.Values.imageCredentials.password`

```yaml
# -- Credentials for Image Pull Secret object
imageCredentials:
registry: us-docker.pkg.dev
username: _json_key
password: '{ "type": "service_account", "project_id": "codefresh-enterprise", "private_key_id": ... }'
```

- Specify `.Values.global.appUrl`, `.Values.global.firebaseUrl`, `.Values.global.firebaseSecret`, `.Values.global.env.MONGOOSE_AUTO_INDEX`, `.Values.global.env.MONGO_AUTOMATIC_INDEX_CREATION`

```yaml
global:
# -- Application root url. Will be used in Ingress as hostname
appUrl: onprem.mydomain.com

# -- Firebase URL for logs streaming.
firebaseUrl: <>
# -- Firebase URL for logs streaming from existing secret
firebaseUrlSecretKeyRef: {}
# E.g.
# firebaseUrlSecretKeyRef:
# name: my-secret
# key: firebase-url

# -- Firebase Secret.
firebaseSecret: <>
# -- Firebase Secret from existing secret
firebaseSecretSecretKeyRef: {}
# E.g.
# firebaseSecretSecretKeyRef:
# name: my-secret
# key: firebase-secret

# -- Enable index creation in MongoDB
# This is required for first-time installations!
# Before usage in Production, you must set it to `false` or remove it!
env:
MONGOOSE_AUTO_INDEX: "true"
MONGO_AUTOMATIC_INDEX_CREATION: "true"

```

- Specify `.Values.ingress.tls.cert` and `.Values.ingress.tls.key` OR `.Values.ingress.tls.existingSecret`

```yaml
ingress:
# -- Enable the Ingress
enabled: true
# -- Set the ingressClass that is used for the ingress.
# Default `nginx-codefresh` is created from `ingress-nginx` controller subchart
# If you specify a different ingress class, disable `ingress-nginx` subchart (see below)
ingressClassName: nginx-codefresh
tls:
# -- Enable TLS
enabled: true
# -- Default secret name to be created with provided `cert` and `key` below
secretName: "star.codefresh.io"
# -- Certificate (base64 encoded)
cert: ""
# -- Private key (base64 encoded)
key: ""
# -- Existing `kubernetes.io/tls` type secret with TLS certificates (keys: `tls.crt`, `tls.key`)
existingSecret: ""

ingress-nginx:
# -- Enable ingress-nginx controller
enabled: true
```

- *Or specify your own `.Values.ingress.ingressClassName` (disable built-in ingress-nginx subchart)*

```yaml
ingress:
# -- Enable the Ingress
enabled: true
# -- Set the ingressClass that is used for the ingress.
ingressClassName: nginx

ingress-nginx:
# -- Disable ingress-nginx controller
enabled: false
```

- Install the chart

```console
helm upgrade --install cf oci://quay.io/codefresh/codefresh \
-f cf-values.yaml \
--namespace codefresh \
--create-namespace \
--debug \
--wait \
--timeout 15m
```

### ⚠️ **MANDATORY** Post-Installation Action Items

Once your Codefresh On-Prem instance is installed, configured, and confirmed to be ready for production use, the following variables must be set to `false` or removed:

```yaml
global:
env:
MONGOOSE_AUTO_INDEX: "false"
MONGO_AUTOMATIC_INDEX_CREATION: "false"
```

## Changes to the Bitnami catalog

Due to changes in the Bitnami catalog (Ref: [Upcoming changes to the Bitnami catalog (effective August 28th, 2025)](https://github.com/bitnami/containers/issues/83267)), the following subcharts have been updated to use `docker.io/bitnamilegacy` repository:

- MongoDB
- PostgreSQL
- Redis
- RabbitMQ
- Nats
- Consul

[Bitnami Legacy repository](https://hub.docker.com/u/bitnamilegacy) catalog will receive no further updates or support and should only be used for temporary evaluation purposes. For production usage, please consider externalizing these services as described in [Configuring external services](#configuring-external-services) section.

If you have an option to use [Bitnami Secure Images](https://www.arrow.com/globalecs/uk/products/bitnami-secure-images/?utm_source=google&utm_medium=paidsearch&utm_campaign=bitnami&gad_source=1&gad_campaignid=22996675622), you need to override image repository and tag for each of Bitnami subcharts used in Codefresh chart and [provide a valid image pull secret](https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/#registry-secret-existing-credentials).

```yaml
mongodb:
image:
repository: bitnami/mongodb
tag:
pullSecrets:
- my-bitnami-registry-secret

redis:
image:
repository: bitnami/redis
tag:
pullSecrets:
- my-bitnami-registry-secret

postgresql:
image:
repository: bitnami/postgresql
tag:
pullSecrets:
- my-bitnami-registry-secret

rabbitmq:
image:
repository: bitnami/rabbitmq
tag:
pullSecrets:
- my-bitnami-registry-secret

nats:
image:
repository: bitnami/nats
tag:
pullSecrets:
- my-bitnami-registry-secret

consul:
image:
repository: bitnami/consul
tag:
pullSecrets:
- my-bitnami-registry-secret
```

## Chart Configuration

See [Customizing the Chart Before Installing](https://helm.sh/docs/intro/using_helm/#customizing-the-chart-before-installing). To see all configurable options with detailed comments, visit the chart's [values.yaml](./values.yaml), or run these configuration commands:

```console
helm show values codefresh/codefresh
```

### Persistent services

Codefresh relies on several persistent services to store its data:

- **MongoDB**: Stores all account data (account settings, users, projects, pipelines, builds etc.)
- **PostgreSQL**: Stores data about events for the account (pipeline updates, deletes, etc.). The audit log uses the data from this database.
- **Redis**: Used for caching, and as a key-value store for cron trigger manager.
- **RabbitMQ**: Used for message queueing.
- **Consul**: Used for store data about Windows runtimes
- **Cronus**: Used for storing CRON triggers data

The following table reflects the recommended and supported versions of these databases for different Codefresh releases:

| Codefresh version | MongoDB | PostgreSQL | Redis | RabbitMQ | Nats | Consul |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 2.10.x | \>=4.2 \<=7.x
Recommended: 7.x (`featureCompatibilityVersion: 7.0`)| \>= 16.x \<= 17.x
Recommended: 17.x | \>= 7.x \<= 8.x
Recommended: 8\.x | 3.13.x \| 4.0.x \| 4.1.x
Recommended: 4.1.x | 2.11.x
Recommended: 2.11.x | 1.21.x
Recommended: 1.21.x |
| 2.9.x | \>=4.2 \<=7.x
Recommended: 7.x (`featureCompatibilityVersion: 7.0`)| \>= 16.x \<= 17.x
Recommended: 17.x | \>= 7.0.x \<= 7.4.x
Recommended: 7.4.x | 3.13.x \| 4.0.x \| 4.1.x
Recommended: 4.1.x | 2.11.x
Recommended: 2.11.x | 1.21.x
Recommended: 1.21.x |
| 2.8.x | \>=4.2 \<=7.x
Recommended: 7.x (`featureCompatibilityVersion: 6.0`)| \>= 13.x \<= 17.x
Recommended: 16.x \| 17.x | \>= 7.0.x \<= 7.4.x
Recommended: 7.4.x | 3.13.x \| 4.0.x \| 4.1.x
Recommended: 4.0.x | 2.11.x
Recommended: 2.11.x | 1.21.x
Recommended: 1.21.x |
| 2.7.x | \>=4.2 \<=6.x
Recommended: 6.x (`featureCompatibilityVersion: 6.0`)| 13.x | 7.0.x | 3.13.x | 2.10.x, 2.11.x | 1.20.x, 1.21.x |
| 2.6.x | \>=4.2 \<=6.x
Recommended: 6.x (`featureCompatibilityVersion: 5.0`)| 13.x | 7.0.x | 3.13.x | 2.10.x | 1.20.x |

> Running on netfs (nfs, cifs) is not recommended.

> Docker daemon (`cf-builder` stateful set) can be run on block storage only.

All of them can be externalized. See the next sections.

### Configuring external services

The chart contains required dependencies for the corresponding services
- [bitnami/mongodb](https://github.com/bitnami/charts/tree/main/bitnami/mongodb)
- [bitnami/postgresql](https://github.com/bitnami/charts/tree/main/bitnami/postgresql)
- [bitnami/redis](https://github.com/bitnami/charts/tree/main/bitnami/redis)
- [bitnami/rabbitmq](https://github.com/bitnami/charts/tree/main/bitnami/rabbitmq)

To use external services like [MongoDB Atlas Database](https://www.mongodb.com/atlas/database) or [Amazon RDS for PostgreSQL](https://aws.amazon.com/rds/postgresql/) you need to adjust the values accordingly:

#### External MongoDB

> ⚠️ **Important!** If you use MongoDB Atlas, you must create user with `Write` permissions before installing Codefresh:

> Then, provide the user credentials in the chart values at

`.Values.global.mongodbUser/mongodbRootUserSecretKeyRef`

`.Values.global.mongodbPassword/mongodbRootPasswordSecretKeyRef`

`.Values.seed.mongoSeedJob.mongodbRootUser/mongodbRootUserSecretKeyRef`

`.Values.seed.mongoSeedJob.mongodbRootPassword/mongodbRootPasswordSecretKeyRef`

> Ref:

> [Create Users in Atlas](https://www.mongodb.com/docs/atlas/security-add-mongodb-users/#configure-database-users)

`values.yaml` for external MongoDB:

```yaml
seed:
mongoSeedJob:
# -- Enable mongo seed job. Seeds the required data (default idp/user/account), creates cfuser and required databases.
enabled: true
# -- Root user in plain text (required ONLY for seed job!).
mongodbRootUser: "root"
# -- Root user from existing secret
mongodbRootUserSecretKeyRef: {}
# E.g.
# mongodbRootUserSecretKeyRef:
# name: my-secret
# key: mongodb-root-user

# -- Root password in plain text (required ONLY for seed job!).
mongodbRootPassword: "password"
# -- Root password from existing secret
mongodbRootPasswordSecretKeyRef: {}
# E.g.
# mongodbRootPasswordSecretKeyRef:
# name: my-secret
# key: mongodb-root-password

global:
# -- LEGACY (but still supported) - Use `.global.mongodbProtocol` + `.global.mongodbUser/mongodbUserSecretKeyRef` + `.global.mongodbPassword/mongodbPasswordSecretKeyRef` + `.global.mongodbHost/mongodbHostSecretKeyRef` + `.global.mongodbOptions` instead
# Default MongoDB URI. Will be used by ALL services to communicate with MongoDB.
# Ref: https://www.mongodb.com/docs/manual/reference/connection-string/
# Note! `defaultauthdb` is omitted on purpose (i.e. mongodb://.../[defaultauthdb]).
mongoURI: ""
# E.g.
# mongoURI: "mongodb://cfuser:mTiXcU2wafr9@cf-mongodb:27017/"

# -- Set mongodb protocol (`mongodb` / `mongodb+srv`)
mongodbProtocol: mongodb
# -- Set mongodb user in plain text
mongodbUser: "cfuser"
# -- Set mongodb user from existing secret
mongodbUserSecretKeyRef: {}
# E.g.
# mongodbUserSecretKeyRef:
# name: my-secret
# key: mongodb-user

# -- Set mongodb password in plain text
mongodbPassword: "password"
# -- Set mongodb password from existing secret
mongodbPasswordSecretKeyRef: {}
# E.g.
# mongodbPasswordSecretKeyRef:
# name: my-secret
# key: mongodb-password

# -- Set mongodb host in plain text
mongodbHost: "my-mongodb.prod.svc.cluster.local:27017"
# -- Set mongodb host from existing secret
mongodbHostSecretKeyRef: {}
# E.g.
# mongodbHostSecretKeyRef:
# name: my-secret
# key: monogdb-host

# -- Set mongodb connection string options
# Ref: https://www.mongodb.com/docs/manual/reference/connection-string/#connection-string-options
mongodbOptions: "retryWrites=true"

mongodb:
# -- Disable mongodb subchart installation
enabled: false
```

##### Migrating from built-in MongoDB to external MongoDB

> **Note!** `MongoDB` is main database for Codefresh storing all the data about users, projects, pipelines, builds etc.

We're recommending to use `mongodump` and `mongorestore` tools to migrate ALL the data from built-in MongoDB to external MongoDB.

The connection string or `MONGODB_*` environment variables for built-in MongoDB can be obtained in `cfapi` secret.

[mongodump](https://www.mongodb.com/docs/database-tools/mongodump/)

[mongorestore](https://www.mongodb.com/docs/database-tools/mongorestore/)

#### External MongoDB with MTLS

In order to use MTLS (Mutual TLS) for MongoDB, you need:

* Create a K8S secret that contains the certificate (certificate file and private key).
The K8S secret should have one `ca.pem` key.
```console
cat cert.crt > ca.pem
cat cert.key >> ca.pem
kubectl create secret generic my-mongodb-tls --from-file=ca.pem
```

* Add `.Values.global.volumes` and `.Values.global.volumeMounts` to mount the secret into all the services.
```yaml
global:
volumes:
mongodb-tls:
enabled: true
type: secret
nameOverride: my-mongodb-tls
optional: true

volumeMounts:
mongodb-tls:
path:
- mountPath: /etc/ssl/mongodb/ca.pem
subPath: ca.pem

env:
MONGODB_SSL_ENABLED: true
MTLS_CERT_PATH: /etc/ssl/mongodb/ca.pem
RUNTIME_MTLS_CERT_PATH: /etc/ssl/mongodb/ca.pem
RUNTIME_MONGO_TLS: "true"
# Set these env vars to 'false' if self-signed certificate is used to avoid x509 errors
RUNTIME_MONGO_TLS_VALIDATE: "false"
MONGO_MTLS_VALIDATE: "false"
```

#### External PostgresSQL

```yaml
seed:
postgresSeedJob:
# -- Enable postgres seed job. Creates required user and databases.
enabled: true
# -- (optional) "postgres" admin user in plain text (required ONLY for seed job!)
# Must be a privileged user allowed to create databases and grant roles.
# If omitted, username and password from `.Values.global.postgresUser/postgresPassword` will be used.
postgresUser: "postgres"
# -- (optional) "postgres" admin user from exising secret
postgresUserSecretKeyRef: {}
# E.g.
# postgresUserSecretKeyRef:
# name: my-secret
# key: postgres-user

# -- (optional) Password for "postgres" admin user (required ONLY for seed job!)
postgresPassword: "password"
# -- (optional) Password for "postgres" admin user from existing secret
postgresPasswordSecretKeyRef: {}
# E.g.
# postgresPasswordSecretKeyRef:
# name: my-secret
# key: postgres-password

global:
# -- Set postgres user in plain text
postgresUser: cf_user
# -- Set postgres user from existing secret
postgresUserSecretKeyRef: {}
# E.g.
# postgresUserSecretKeyRef:
# name: my-secret
# key: postgres-user

# -- Set postgres password in plain text
postgresPassword: password
# -- Set postgres password from existing secret
postgresPasswordSecretKeyRef: {}
# E.g.
# postgresPasswordSecretKeyRef:
# name: my-secret
# key: postgres-password

# -- Set postgres service address in plain text.
postgresHostname: "my-postgres.domain.us-east-1.rds.amazonaws.com"
# -- Set postgres service from existing secret
postgresHostnameSecretKeyRef: {}
# E.g.
# postgresHostnameSecretKeyRef:
# name: my-secret
# key: postgres-hostname

# -- Set postgres port number
postgresPort: 5432

# -- Set postgres schema name for audit database in plain text.
auditPostgresSchemaName: "public"

# -- Disables saving events from eventbus into postgres.
# When it is set to “false” all events (workflows, jobs, user etc.) from eventbus are starting saving to postgres and following services (charts-manager, cluster-providers, context-manager, cfapi, cf-platform-analytics, gitops-dashboard-manager, pipeline-manager, kube-integration, tasker-kubernetes, runtime-environment-manager) start requiring postgres connection.
disablePostgresForEventbus: "true"

postgresql:
# -- Disable postgresql subchart installation
enabled: false
```

##### Migrating from built-in PostgreSQL to external PostgreSQL

> **Note!** `PostgreSQL` is storing audit logs and analytics data for Codefresh.

We recommend using `pg_dumpall`/`pg_dump` and `psql`/`pg_restore` tools to migrate ALL the data from built-in PostgreSQL to external PostgreSQL.

The connection string or `POSTGRES_*` environment variables for built-in PostgreSQL can be obtained in `cfapi` secret.

[pg_dumpall](https://www.postgresql.org/docs/current/app-pg-dumpall.html)

[pg_dump](https://www.postgresql.org/docs/current/app-pgdump.html)

[pg_restore](https://www.postgresql.org/docs/current/app-pgrestore.html)

##### Using SSL with a PostgreSQL

Provide the following env vars to enforce SSL connection to PostgresSQL:

```yaml
global:
env:
# More info in the official docs: https://www.postgresql.org/docs/current/libpq-envars.html
PGSSLMODE: "require"

helm-repo-manager:
env:
POSTGRES_DISABLE_SSL: "false"
```

> ⚠️ **Important!**

> We do not support custom CA configuration for PostgreSQL, including self-signed certificates. This may cause incompatibility with some providers' default configurations.

> In particular, Amazon RDS for PostgreSQL version 15 and later requires SSL encryption by default ([ref](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/PostgreSQL.Concepts.General.SSL.html#PostgreSQL.Concepts.General.SSL.Requiring)).

> We recommend disabling SSL on the provider side in such cases or using the following steps to mount custom CA certificates: [Mounting private CA certs](#mounting-private-ca-certs)

#### External Redis

```yaml
global:
# -- Set redis password in plain text
redisPassword: password
# -- Set redis service port
redisPort: 6379
# -- Set redis password from existing secret
redisPasswordSecretKeyRef: {}
# E.g.
# redisPasswordSecretKeyRef:
# name: my-secret
# key: redis-password

# -- Set redis hostname in plain text. Takes precedence over `global.redisService`!
redisUrl: "my-redis.namespace.svc.cluster.local"
# -- Set redis hostname from existing secret.
redisUrlSecretKeyRef: {}
# E.g.
# redisUrlSecretKeyRef:
# name: my-secret
# key: redis-url

redis:
# -- Disable redis subchart installation
enabled: false

```

> If ElastiCache is used, set `REDIS_TLS` to `true` in `.Values.global.env`

> ⚠️ ElastiCache with **Cluster mode** is not supported!

##### Migrating from built-in Redis to external Redis

> **Note!** `Redis` among cache is storing data about CRON triggers.

> assuming Codefresh is installed in `codefresh` namespace with `cf` release name

- Get the redis password

```console
kubectl get secret cf-redis -n codefresh -o json | jq -r '.data["redis-password"]' | base64 -d
```

- Exec into built-in Redis pod

```console
kubectl -n codefresh --stdin --tty exec pod/cf-redis-master-0 -- /bin/bash

# Create a dump of the existing data
redis-cli -a SAVE
```

- Copy the dump file from the pod to local machine

```console
kubectl -n codefresh cp pod/cf-redis-master-0:/data/dump.rdb ./dump.rdb
```

- Import the dump file to external Redis (based on your Redis distribution)

[Restore an RDB file](https://redis.io/tutorials/guides/import/#restore-an-rdb-file)

#### External Redis with MTLS

In order to use [MTLS (Mutual TLS) for Redis](https://redis.io/docs/management/security/encryption/), you need:

* Create a K8S secret that contains the certificate (ca, certificate and private key).
```console
cat ca.crt tls.crt > tls.crt
kubectl create secret tls my-redis-tls --cert=tls.crt --key=tls.key --dry-run=client -o yaml | kubectl apply -f -
```

* Add `.Values.global.volumes` and `.Values.global.volumeMounts` to mount the secret into all the services.
```yaml
global:
volumes:
redis-tls:
enabled: true
type: secret
# Existing secret with TLS certificates (keys: `ca.crt` , `tls.crt`, `tls.key`)
nameOverride: my-redis-tls
optional: true

volumeMounts:
redis-tls:
path:
- mountPath: /etc/ssl/redis

env:
REDIS_TLS: true
REDIS_CA_PATH: /etc/ssl/redis/ca.crt
REDIS_CLIENT_CERT_PATH : /etc/ssl/redis/tls.crt
REDIS_CLIENT_KEY_PATH: /etc/ssl/redis/tls.key
# Set these env vars like that if self-signed certificate is used to avoid x509 errors
REDIS_REJECT_UNAUTHORIZED: false
REDIS_TLS_SKIP_VERIFY: true
```

#### External RabbitMQ

```yaml
global:
# -- Set rabbitmq protocol (`amqp/amqps`)
rabbitmqProtocol: amqp
# -- Set rabbitmq username in plain text
rabbitmqUsername: user
# -- Set rabbitmq username from existing secret
rabbitmqUsernameSecretKeyRef: {}
# E.g.
# rabbitmqUsernameSecretKeyRef:
# name: my-secret
# key: rabbitmq-username

# -- Set rabbitmq password in plain text
rabbitmqPassword: password
# -- Set rabbitmq password from existing secret
rabbitmqPasswordSecretKeyRef: {}
# E.g.
# rabbitmqPasswordSecretKeyRef:
# name: my-secret
# key: rabbitmq-password

# -- Set rabbitmq service address in plain text. Takes precedence over `global.rabbitService`!
rabbitmqHostname: "my-rabbitmq.namespace.svc.cluster.local:5672"
# -- Set rabbitmq service address from existing secret.
rabbitmqHostnameSecretKeyRef: {}
# E.g.
# rabbitmqHostnameSecretKeyRef:
# name: my-secret
# key: rabbitmq-hostname

rabbitmq:
# -- Disable rabbitmq subchart installation
enabled: false
```

#### External Consul

```yaml
global:
# -- Set consul service address
consulHost: "my-consul-headless.namespace.svc.cluster.local"

consul:
# -- Disable consul subchart installation
enabled: false
```

##### Migrating from built-in Consul to external Consul

> **Note!** `Consul` is containg data about Windows runtimes only. If you don't use Windows runtimes in your Codefresh instance, you can skip this migration.

> assuming Codefresh is installed in `codefresh` namespace with `cf` release name

- Port-forward to built-in Consul

```console
kubectl port-forward svc/cf-consul 8500:8500 -n codefresh
```

- Export data from built-in Consul

```console
curl -s http://localhost:8500/v1/snapshot > consul.backup
```

- Port-forward to external Consul

```console
kubectl port-forward svc/my-external-consul-service 8500:8500 -n my-namespace
```

- Import data to external Consul

```console
curl -v -T consul.backup http://localhost:8500/v1/snapshot
```

#### External Nats

```yaml
global:
# -- Set nats service address
queueServers: "nats://my-nats.namespace.svc.cluster.local:4222"

nats:
# -- Disable nats subchart installation
enabled: false
```

#### BoltDB data in Cronus service

`Cronus` service is using embedded `BoltDB` database to store CRON triggers data. The data is stored at `/var/boltdb/events.db` file inside the `cf-cronus` pod.

There is no option to externalize `Cronus` storage at the moment.

In case of migration to another k8s cluster, you may need to copy the `events.db` file from the existing `cf-cronus` pod and mount it to the new `cf-cronus` pod to preserve the CRON triggers data.

- Copy `events.db` file from `cf-cronus` pod

```console
# Old cluster
kubectl -n codefresh cp pod/cf-cronus-0:/var/boltdb/events.db ./events.db
```

- Copy `events.db` file to the new `cf-cronus` pod

```console
# New cluster
kubectl -n codefresh cp ./events.db pod/cf-cronus-0:/var/boltdb/events.db
```

### Configuring Ingress-NGINX

The chart deploys the [ingress-nginx](https://github.com/kubernetes/ingress-nginx/tree/main) and exposes controller behind a Service of `Type=LoadBalancer`

All installation options for `ingress-nginx` are described at [Configuration](https://github.com/kubernetes/ingress-nginx/tree/main/charts/ingress-nginx#configuration)

Relevant examples for Codefesh are below:

#### ELB with SSL Termination (Classic Load Balancer)

*certificate provided from ACM*

```yaml
ingress-nginx:
controller:
service:
annotations:
service.beta.kubernetes.io/aws-load-balancer-backend-protocol: "tcp"
service.beta.kubernetes.io/aws-load-balancer-ssl-ports: "443"
service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: '3600'
service.beta.kubernetes.io/aws-load-balancer-ssl-cert: < CERTIFICATE ARN >
targetPorts:
http: http
https: http

# -- Ingress
ingress:
tls:
# -- Disable TLS
enabled: false
```

#### NLB (Network Load Balancer)

*certificate provided as base64 string or as exisiting k8s secret*

```yaml
ingress-nginx:
controller:
service:
annotations:
service.beta.kubernetes.io/aws-load-balancer-type: nlb
service.beta.kubernetes.io/aws-load-balancer-backend-protocol: tcp
service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: '3600'
service.beta.kubernetes.io/aws-load-balancer-cross-zone-load-balancing-enabled: 'true'

# -- Ingress
ingress:
tls:
# -- Enable TLS
enabled: true
# -- Default secret name to be created with provided `cert` and `key` below
secretName: "star.codefresh.io"
# -- Certificate (base64 encoded)
cert: "LS0tLS1CRUdJTiBDRVJ...."
# -- Private key (base64 encoded)
key: "LS0tLS1CRUdJTiBSU0E..."
# -- Existing `kubernetes.io/tls` type secret with TLS certificates (keys: `tls.crt`, `tls.key`)
existingSecret: ""
```

### Configuration with ALB (Application Load Balancer)

*[Application Load Balancer](https://github.com/kubernetes-sigs/aws-load-balancer-controller/tree/main/helm/aws-load-balancer-controller) should be deployed to the cluster*

```yaml
ingress-nginx:
# -- Disable ingress-nginx subchart installation
enabled: false

ingress:
# -- ALB contoller ingress class
ingressClassName: alb
annotations:
alb.ingress.kubernetes.io/actions.ssl-redirect: '{"Type": "redirect", "RedirectConfig":{ "Protocol": "HTTPS", "Port": "443", "StatusCode": "HTTP_301"}}'
alb.ingress.kubernetes.io/backend-protocol: HTTP
alb.ingress.kubernetes.io/certificate-arn:
alb.ingress.kubernetes.io/listen-ports: '[{"HTTP": 80}, {"HTTPS":443}]'
alb.ingress.kubernetes.io/scheme: internet-facing
alb.ingress.kubernetes.io/success-codes: 200,404
alb.ingress.kubernetes.io/target-type: ip
services:
# For ALB /* asterisk is required in path
internal-gateway:
- /*

```

### Configuration with Private Registry

If you install/upgrade Codefresh on an air-gapped environment without access to public registries (i.e. `quay.io`/`docker.io`) or Codefresh Enterprise registry at `gcr.io`, you will have to mirror the images to your organization’s container registry.

- Obtain [image list](https://github.com/codefresh-io/onprem-images/tree/master/releases) for specific release

- [Push images](https://github.com/codefresh-io/onprem-images/blob/master/push-to-registry.sh) to private docker registry

- Specify image registry in values

```yaml
global:
imageRegistry: myregistry.domain.com

```

There are 3 types of images, with the values above in rendered manifests images will be converted as follows:

**non-Codefresh** like:

```yaml
bitnami/mongo:4.2
registry.k8s.io/ingress-nginx/controller:v1.4.0
postgres:13
```
converted to:
```yaml
myregistry.domain.com/bitnami/mongodb:4.2
myregistry.domain.com/ingress-nginx/controller:v1.2.0
myregistry.domain.com/postgres:13
```

Codefresh **public** images like:
```yaml
quay.io/codefresh/dind:20.10.13-1.25.2
quay.io/codefresh/engine:1.147.8
quay.io/codefresh/cf-docker-builder:1.1.14
```
converted to:
```yaml
myregistry.domain.com/codefresh/dind:20.10.13-1.25.2
myregistry.domain.com/codefresh/engine:1.147.8
myregistry.domain.com/codefresh/cf-docker-builder:1.1.14
```

Codefresh **private** images like:
```yaml
gcr.io/codefresh-enterprise/codefresh/cf-api:21.153.6
gcr.io/codefresh-enterprise/codefresh/cf-ui:14.69.38
gcr.io/codefresh-enterprise/codefresh/pipeline-manager:3.121.7
```
converted to:

```yaml
myregistry.domain.com/codefresh/cf-api:21.153.6
myregistry.domain.com/codefresh/cf-ui:14.69.38
myregistry.domain.com/codefresh/pipeline-manager:3.121.7
```

Use the example below to override repository for all templates:

```yaml

global:
imagePullSecrets:
- cf-registry

ingress-nginx:
controller:
image:
registry: myregistry.domain.com
image: codefresh/controller

mongodb:
image:
repository: codefresh/mongodb

postgresql:
image:
repository: codefresh/postgresql

consul:
image:
repository: codefresh/consul

redis:
image:
repository: codefresh/redis

rabbitmq:
image:
repository: codefresh/rabbitmq

nats:
image:
repository: codefresh/nats

builder:
container:
image:
repository: codefresh/docker

runner:
container:
image:
repository: codefresh/docker

internal-gateway:
container:
image:
repository: codefresh/nginx-unprivileged

helm-repo-manager:
chartmuseum:
image:
repository: myregistry.domain.com/codefresh/chartmuseum

cf-platform-analytics-platform:
redis:
image:
repository: codefresh/redis
```

### Configuration with multi-role CF-API

The chart installs cf-api as a single deployment. Though, at a larger scale, we do recommend to split cf-api to multiple roles (one deployment per role) as follows:

```yaml

global:
# -- Change internal cfapi service address
cfapiService: cfapi-internal
# -- Change endpoints cfapi service address
cfapiEndpointsService: cfapi-endpoints

cfapi: &cf-api
# -- Disable default cfapi deployment
enabled: false
# -- (optional) Enable the autoscaler
# The value will be merged into each cfapi role. So you can specify it once.
hpa:
enabled: true
# Enable cf-api roles
cfapi-auth:
<<: *cf-api
enabled: true
cfapi-internal:
<<: *cf-api
enabled: true
cfapi-ws:
<<: *cf-api
enabled: true
cfapi-admin:
<<: *cf-api
enabled: true
cfapi-endpoints:
<<: *cf-api
enabled: true
cfapi-terminators:
<<: *cf-api
enabled: true
cfapi-sso-group-synchronizer:
<<: *cf-api
enabled: true
cfapi-buildmanager:
<<: *cf-api
enabled: true
cfapi-cacheevictmanager:
<<: *cf-api
enabled: true
cfapi-eventsmanagersubscriptions:
<<: *cf-api
enabled: true
cfapi-kubernetesresourcemonitor:
<<: *cf-api
enabled: true
cfapi-environments:
<<: *cf-api
enabled: true
cfapi-gitops-resource-receiver:
<<: *cf-api
enabled: true
cfapi-downloadlogmanager:
<<: *cf-api
enabled: true
cfapi-teams:
<<: *cf-api
enabled: true
cfapi-kubernetes-endpoints:
<<: *cf-api
enabled: true
cfapi-test-reporting:
<<: *cf-api
enabled: true
```

### High Availability

The chart installs the non-HA version of Codefresh by default. If you want to run Codefresh in HA mode, use the example values below.

> **Note!** `cronus` is not supported in HA mode, otherwise builds with CRON triggers will be duplicated

`values.yaml`
```yaml
cfapi:
hpa:
enabled: true
# These are the defaults for all Codefresh subcharts
# minReplicas: 2
# maxReplicas: 10
# targetCPUUtilizationPercentage: 70

argo-platform:
abac:
hpa:
enabled: true

analytics-reporter:
hpa:
enabled: true

api-events:
hpa:
enabled: true

api-graphql:
hpa:
enabled: true

audit:
hpa:
enabled: true

cron-executor:
hpa:
enabled: true

event-handler:
hpa:
enabled: true

ui:
hpa:
enabled: true

cfui:
hpa:
enabled: true

internal-gateway:
hpa:
enabled: true

cf-broadcaster:
hpa:
enabled: true

cf-platform-analytics-platform:
hpa:
enabled: true

charts-manager:
hpa:
enabled: true

cluster-providers:
hpa:
enabled: true

context-manager:
hpa:
enabled: true

gitops-dashboard-manager:
hpa:
enabled: true

helm-repo-manager:
hpa:
enabled: true

hermes:
hpa:
enabled: true

k8s-monitor:
hpa:
enabled: true

kube-integration:
hpa:
enabled: true

nomios:
hpa:
enabled: true

pipeline-manager:
hpa:
enabled: true

runtime-environment-manager:
hpa:
enabled: true

tasker-kubernetes:
hpa:
enabled: true

```

For infra services (MongoDB, PostgreSQL, RabbitMQ, Redis, Consul, Nats, Ingress-NGINX) from built-in Bitnami charts you can use the following example:

> **Note!** Use [topologySpreadConstraints](https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods) for better resiliency

`values.yaml`
```yaml
global:
postgresService: postgresql-ha-pgpool
mongodbHost: cf-mongodb-0,cf-mongodb-1,cf-mongodb-2 # Replace `cf` with your Helm Release name
mongodbOptions: replicaSet=rs0&retryWrites=true
redisUrl: cf-redis-ha-haproxy

builder:
controller:
replicas: 3

consul:
replicaCount: 3

cfsign:
controller:
replicas: 3
persistence:
certs-data:
enabled: false
volumes:
certs-data:
type: emptyDir
initContainers:
volume-permissions:
enabled: false

ingress-nginx:
controller:
autoscaling:
enabled: true

mongodb:
architecture: replicaset
replicaCount: 3
externalAccess:
enabled: true
service:
type: ClusterIP

nats:
replicaCount: 3

postgresql:
enabled: false

postgresql-ha:
enabled: true
volumePermissions:
enabled: true

rabbitmq:
replicaCount: 3

redis:
enabled: false

redis-ha:
enabled: true
```

### Mounting private CA certs

```yaml
global:
env:
NODE_EXTRA_CA_CERTS: /etc/ssl/custom/ca.crt

volumes:
custom-ca:
enabled: true
type: secret
existingName: my-custom-ca-cert # exisiting K8s secret object with the CA cert
optional: true

volumeMounts:
custom-ca:
path:
- mountPath: /etc/ssl/custom/ca.crt
subPath: ca.crt
```

## Installing on OpenShift

To deploy Codefresh On-Prem on OpenShift use the following values example:

```yaml
ingress:
ingressClassName: openshift-default

global:
dnsService: dns-default
dnsNamespace: openshift-dns
clusterDomain: cluster.local

# Requires privileged SCC.
builder:
enabled: false

cfapi:
podSecurityContext:
enabled: false

cf-platform-analytics-platform:
redis:
master:
podSecurityContext:
enabled: false
containerSecurityContext:
enabled: false

cfsign:
podSecurityContext:
enabled: false
initContainers:
volume-permissions:
enabled: false

cfui:
podSecurityContext:
enabled: false

internal-gateway:
podSecurityContext:
enabled: false

helm-repo-manager:
chartmuseum:
securityContext:
enabled: false

consul:
podSecurityContext:
enabled: false
containerSecurityContext:
enabled: false

cronus:
podSecurityContext:
enabled: false

ingress-nginx:
enabled: false

mongodb:
podSecurityContext:
enabled: false
containerSecurityContext:
enabled: false

postgresql:
primary:
podSecurityContext:
enabled: false
containerSecurityContext:
enabled: false

redis:
master:
podSecurityContext:
enabled: false
containerSecurityContext:
enabled: false

rabbitmq:
podSecurityContext:
enabled: false
containerSecurityContext:
enabled: false

# Requires privileged SCC.
runner:
enabled: false
```

## Firebase Configuration

As outlined in [prerequisites](#prerequisites), it's required to set up a Firebase database for builds logs streaming:

- [Create a Database](https://firebase.google.com/docs/database/web/start#create_a_database).
- Create a [Legacy token](https://firebase.google.com/docs/database/rest/auth#legacy_tokens) for authentication.
- Set the following rules for the database:
```json
{
"rules": {
"build-logs": {
"$jobId":{
".read": "!root.child('production/build-logs/'+$jobId).exists() || (auth != null && auth.admin == true) || (auth == null && data.child('visibility').exists() && data.child('visibility').val() == 'public') || ( auth != null && data.child('accountId').exists() && auth.accountId == data.child('accountId').val() )",
".write": "auth != null && data.child('accountId').exists() && auth.accountId == data.child('accountId').val()"
}
},
"environment-logs": {
"$environmentId":{
".read": "!root.child('production/environment-logs/'+$environmentId).exists() || ( auth != null && data.child('accountId').exists() && auth.accountId == data.child('accountId').val() )",
".write": "auth != null && data.child('accountId').exists() && auth.accountId == data.child('accountId').val()"
}
}
}
}
```

However, if you're in an air-gapped environment, you can omit this prerequisite and use a built-in logging system (i.e. `OfflineLogging` feature-flag).
See [feature management](https://codefresh.io/docs/docs/installation/on-premises/on-prem-feature-management)

## Additional configuration

### Retention policy for builds and logs

With this method, Codefresh by default deletes builds older than six months.

The retention mechanism removes data from the following collections: `workflowproccesses`, `workflowrequests`, `workflowrevisions`

```yaml
cfapi:
env:
# Determines if automatic build deletion through the Cron job is enabled.
RETENTION_POLICY_IS_ENABLED: true
# The maximum number of builds to delete by a single Cron job. To avoid database issues, especially when there are large numbers of old builds, we recommend deleting them in small chunks. You can gradually increase the number after verifying that performance is not affected.
RETENTION_POLICY_BUILDS_TO_DELETE: 50
# The number of days for which to retain builds. Builds older than the defined retention period are deleted.
RETENTION_POLICY_DAYS: 180
```

### Retention policy for builds and logs
> Configuration for Codefresh On-Prem >= 2.x

> Previous configuration example (i.e. `RETENTION_POLICY_IS_ENABLED=true` ) is also supported in Codefresh On-Prem >= 2.x

**For existing environments, for the retention mechanism to work, you must first drop the `created ` index in `workflowprocesses` collection. This requires a maintenance window that depends on the number of builds.**

```yaml
cfapi:
env:
# Determines if automatic build deletion is enabled.
TTL_RETENTION_POLICY_IS_ENABLED: true
# The number of days for which to retain builds, and can be between 30 (minimum) and 365 (maximum). Builds older than the defined retention period are deleted.
TTL_RETENTION_POLICY_IN_DAYS: 180
```

### Projects pipelines limit

```yaml
pipeline-manager:
env:
# Determines project's pipelines limit (default: 500)
PROJECT_PIPELINES_LIMIT: 500
```

### Enable session cookie

```yaml
cfapi:
env:
# Generate a unique session cookie (cf-uuid) on each login
DISABLE_CONCURRENT_SESSIONS: true
# Customize cookie domain
CF_UUID_COOKIE_DOMAIN: .mydomain.com
```

> **Note!** Ingress host for [gitops-runtime](https://artifacthub.io/packages/helm/codefresh-gitops-runtime/gitops-runtime) and ingress host for control plane must share the same root domain (i.e. `onprem.mydomain.com` and `runtime.mydomain.com`)

### X-Frame-Options response header

```yaml
cfapi:
env:
# Set value to the `X-Frame-Options` response header. Control the restrictions of embedding Codefresh page into the iframes.
# Possible values: sameorigin(default) / deny
FRAME_OPTIONS: sameorigin

cfui:
env:
FRAME_OPTIONS: sameorigin
```

Read more about header at https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-Frame-Options.

### Configure CSP (Content Security Policy)

`CONTENT_SECURITY_POLICY` is the string describing content policies. Use semi-colons to separate between policies. `CONTENT_SECURITY_POLICY_REPORT_TO` is a comma-separated list of JSON objects. Each object must have a name and an array of endpoints that receive the incoming CSP reports.

For detailed information, see the [Content Security Policy article on MDN](https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP).

```yaml
cfui:
env:
CONTENT_SECURITY_POLICY: ""
CONTENT_SECURITY_POLICY_REPORT_ONLY: "default-src 'self'; font-src 'self'
https://fonts.gstatic.com; script-src 'self' https://unpkg.com https://js.stripe.com;
style-src 'self' https://fonts.googleapis.com; 'unsafe-eval' 'unsafe-inline'"
CONTENT_SECURITY_POLICY_REPORT_TO: ""
```

### x-hub-signature-256 signature for GitHub AE

For detailed information, see the [Securing your webhooks](https://docs.github.com/en/developers/webhooks-and-events/webhooks/securing-your-webhooks) and [Webhooks](https://docs.github.com/en/github-ae@latest/rest/webhooks).

```
cfapi:
env:
USE_SHA256_GITHUB_SIGNATURE: "true"
```

### Image digests in containers

In Codefresh On-Prem 2.6.x all Codefresh owner microservices include image digests in the default subchart values.

For example, default values for `cfapi` might look like this:

```yaml
container:
image:
registry: us-docker.pkg.dev/codefresh-enterprise/gcr.io
repository: codefresh/cf-api
tag: 21.268.1
digest: "sha256:bae42f8efc18facc2bf93690fce4ab03ef9607cec4443fada48292d1be12f5f8"
pullPolicy: IfNotPresent
```

this resulting in the following image reference in the pod spec:

```yaml
spec:
containers:
- name: cfapi
image: us-docker.pkg.dev/codefresh-enterprise/gcr.io/codefresh/cf-api:21.268.1@sha256:bae42f8efc18facc2bf93690fce4ab03ef9607cec4443fada48292d1be12f5f8
```

> **Note!** When the `digest` is providerd, the `tag` is ignored! You can omit digest and use tag only like the following `values.yaml` example:

```yaml
cfapi:
container:
image:
tag: 21.268.1
# -- Set empty tag for digest
digest: ""
```

### Hermes configuration

> **Note!** Unlike other services, `Hermes` requires Redis with persistent storage. ⚠️ **Thus, ElastiCache is not supported for Hermes!** It's recommended to deploy in-cluster Redis with persistence enabled (e.g. [bitnami/redis](https://github.com/bitnami/charts/tree/main/bitnami/redis) or [redis-ha](https://github.com/DandyDeveloper/charts/blob/master/charts/redis-ha/Chart.yaml)) and update the `REDIS_HOST` and `REDIS_PASSWORD` accordingly for `hermes` subchart.

```yaml
hermes:
container:
env:
REDIS_HOST: redis-ha-haproxy
REDIS_PASSWORD:
valueFrom:
secretKeyRef:
name: redis
key: REDIS_PASSWORD
```

## Configuring OIDC Provider

OpenID Connect (OIDC) allows Codefresh Builds to access resources in your cloud provider (such as AWS, Azure, GCP), without needing to store cloud credentials as long-lived pipeline secret variables.

### Enabling the OIDC Provider in Codefresh On-Prem

#### Prerequisites:

- DNS name for OIDC Provider
- Valid TLS certificates for Ingress
- K8S secret containing JWKS (JSON Web Key Sets). Can be generated at [mkjwk.org](https://mkjwk.org/)
- K8S secret containing Cliend ID (public identifier for app) and Client Secret (application password; cryptographically strong random string)

> **NOTE!** In production usage use [External Secrets Operator](https://external-secrets.io/latest/) or [HashiCorp Vault](https://developer.hashicorp.com/vault/docs/platform/k8s) to create secrets. The following example uses `kubectl` for brevity.

For JWKS use **Public and Private Keypair Set** (if generated at [mkjwk.org](https://mkjwk.org/)), for example:

`cf-oidc-provider-jwks.json`:
```json
{
"keys": [
{
"p": "...",
"kty": "RSA",
"q": "...",
"d": "...",
"e": "AQAB",
"use": "sig",
"qi": "...",
"dp": "...",
"alg": "RS256",
"dq": "...",
"n": "..."
}
]
}
```

```console
# Creating secret containing JWKS.
# The secret KEY is `cf-oidc-provider-jwks.json`. It then referenced in `OIDC_JWKS_PRIVATE_KEYS_PATH` environment variable in `cf-oidc-provider`.
# The secret NAME is referenced in `.volumes.jwks-file.nameOverride` (volumeMount is configured in the chart already)
kubectl create secret generic cf-oidc-provider-jwks \
--from-file=cf-oidc-provider-jwks.json \
-n $NAMESPACE

# Creating secret containing Client ID and Client Secret
# Secret NAME is `cf-oidc-provider-client-secret`.
# It then referenced in `OIDC_CF_PLATFORM_CLIENT_ID` and `OIDC_CF_PLATFORM_CLIENT_SECRET` environment variables in `cf-oidc-provider`
# and in `OIDC_PROVIDER_CLIENT_ID` and `OIDC_PROVIDER_CLIENT_SECRET` in `cfapi`.
kubectl create secret generic cf-oidc-provider-client-secret \
--from-literal=client-id=codefresh \
--from-literal=client-secret='verysecureclientsecret' \
-n $NAMESPACE
```

`values.yaml`
```yaml
global:
# -- Set OIDC Provider URL
oidcProviderService: "oidc.mydomain.com"
# -- Default OIDC Provider service client ID in plain text.
# Optional! If specified here, no need to specify CLIENT_ID/CLIENT_SECRET env vars in cfapi and cf-oidc-provider below.
oidcProviderClientId: null
# -- Default OIDC Provider service client secret in plain text.
# Optional! If specified here, no need to specify CLIENT_ID/CLIENT_SECRET env vars in cfapi and cf-oidc-provider below.
oidcProviderClientSecret: null

cfapi:
# -- Set additional variables for cfapi
# Reference a secret containing Client ID and Client Secret
env:
OIDC_PROVIDER_CLIENT_ID:
valueFrom:
secretKeyRef:
name: cf-oidc-provider-client-secret
key: client-id
OIDC_PROVIDER_CLIENT_SECRET:
valueFrom:
secretKeyRef:
name: cf-oidc-provider-client-secret
key: client-secret

cf-oidc-provider:
# -- Enable OIDC Provider
enabled: true

container:
env:
OIDC_JWKS_PRIVATE_KEYS_PATH: /secrets/jwks/cf-oidc-provider-jwks.json
# -- Reference a secret containing Client ID and Client Secret
OIDC_CF_PLATFORM_CLIENT_ID:
valueFrom:
secretKeyRef:
name: cf-oidc-provider-client-secret
key: client-id
OIDC_CF_PLATFORM_CLIENT_SECRET:
valueFrom:
secretKeyRef:
name: cf-oidc-provider-client-secret
key: client-secret

volumes:
jwks-file:
enabled: true
type: secret
# -- Secret name containing JWKS
nameOverride: "cf-oidc-provider-jwks"
optional: false

ingress:
main:
# -- Enable ingress for OIDC Provider
enabled: true
annotations: {}
# -- Set ingress class name
ingressClassName: ""
hosts:
# -- Set OIDC Provider URL
- host: "oidc.mydomain.com"
paths:
- path: /
# For ALB (Application Load Balancer) /* asterisk is required in path
# e.g.
# - path: /*
tls: []
```

Deploy HELM chart with new `values.yaml`

Use https://oidc.mydomain.com/.well-known/openid-configuration to verify OIDC Provider configuration

### Adding the identity provider in AWS

To add Codefresh OIDC provider to IAM, see the [AWS documentation](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_providers_create_oidc.html)
- For the **provider URL**: Use `.Values.global.oidcProviderService` value with `https://` prefix (i.e. https://oidc.mydomain.com)
- For the **Audienece**: Use `.Values.global.appUrl` value with `https://` prefix (i.e. https://onprem.mydomain.com)

#### Configuring the role and trust policy

To configure the role and trust in IAM, see [AWS documentation](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_create_for-idp_oidc.html)

Edit the trust policy to add the sub field to the validation conditions. For example, use `StringLike` to allow only builds from specific pipeline to assume a role in AWS.
```json
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Federated": "arn:aws:iam:::oidc-provider/oidc.mydomain.com"
},
"Action": "sts:AssumeRoleWithWebIdentity",
"Condition": {
"StringEquals": {
"oidc.mydomain.com:aud": "https://onprem.mydomain.com"
},
"StringLike": {
"oidc.mydomain.com:sub": "account:64884faac2751b77ca7ab324:pipeline:64f7232ab698cfcb95d93cef:*"
}
}
}
]
}
```

To see all the claims supported by Codefresh OIDC provider, see `claims_supported` entries at https://oidc.mydomain.com/.well-known/openid-configuration
```json
"claims_supported": [
"sub",
"account_id",
"account_name",
"pipeline_id",
"pipeline_name",
"workflow_id",
"initiator",
"scm_user_name",
"scm_repo_url",
"scm_ref",
"scm_pull_request_target_branch",
"sid",
"auth_time",
"iss"
]
```

#### Using OIDC in Codefresh Builds

Use [obtain-oidc-id-token](https://github.com/codefresh-io/steps/blob/822afc0a9a128384e76459c6573628020a2cf404/incubating/obtain-oidc-id-token/step.yaml#L27-L58) and [aws-sts-assume-role-with-web-identity](https://github.com/codefresh-io/steps/blob/822afc0a9a128384e76459c6573628020a2cf404/incubating/aws-sts-assume-role-with-web-identity/step.yaml#L29-L63) steps to exchange the OIDC token (JWT) for a cloud access token.

## Maintaining MongoDB Indexes

Sometimes, in new releases of Codefresh On-Prem, index requirements change. When this happens, it's mentioned in the [Upgrading section](#upgrading) for the specific release.

> [!TIP]
> If you're upgrading from version `X` to version `Y`, and index requirements were updated in any of the intermediate versions, you only need to align your indexes with the index requirements of version `Y`. To do that, follow [Index alignment](#index-alignment) instructions.

### Index alignment

The required index definitions for each release can be found at the following resources:

- `2.6`
- `2.7`
- `2.8`
- `2.9`
- `2.10`

The indexes specifications are stored in JSON files. The directory structure is:

```console
indexes
├── # MongoDB database name
│ ├── .json # MongoDB indexes for the specified collection
```

**Overview of the index alignment process:**

1. Identify the differences between the indexes in your MongoDB instance and the required index definitions.
2. Create any missing indexes.
3. Perform the upgrade of Codefresh On-Prem installation.
4. Then remove any unnecessary indexes.

> [!IMPORTANT]
> Any changes to indexes should be performed during a defined maintenance window or during periods of lowest traffic to MongoDB.**
>
> Building indexes during time periods where the target collection is under heavy write load can result in reduced write performance and longer index builds. ([*Source: MongoDB official documentation*](https://www.mongodb.com/docs/manual/core/index-creation/#index-build-impact-on-database-performance))
>
> Even minor changes to indexes (e.g., index removal) can cause brief but noticeable performance degradation ([*Source: MongoDB official documentation*](https://www.mongodb.com/docs/manual/core/query-plans/#plan-cache-flushes))

#### Self-hosted MongoDB

For self-hosted MongoDB, follow the instructions below:

- Connect to the MongoDB server using the [mongosh](https://www.mongodb.com/docs/mongodb-shell/install/) shell. Open your terminal or command prompt and run the following command, replacing `` with the appropriate MongoDB connection string for your server:

```shell
mongosh ""
```

- Retrieve the list of indexes for a specific collection:

```js
db.getSiblingDB('').getCollection('').getIndexes()
```

- Compare your indexes with the required indexes for the target release, and adjust them by creating any missing indexes or removing any unnecessary ones.

**Index creation**

- To create an indexes, we recommend using the `createIndexes` command ([ref](https://www.mongodb.com/docs/manual/reference/command/createIndexes/)):

> [!IMPORTANT]
> We recommend to create indexes in batches of 3 indexes at a time.
> However, it's highly recommended before creating indexes in production DB to test performance impact on a staging instance with prod-like amount of data.
>
> Previous command should be completed before starting the next batch.

```js
db.getSiblingDB('').runCommand(
{
createIndexes: '',
indexes: [
{ ... }, // Index definition from the doc above
{ ... }, // Index definition from the doc above
{ ... } // Index definition from the doc above
],
}
)
```

After executing the command, you should see a result indicating that the indexes were created successfully.

**Index removal**

- To remove an index, use the `dropIndex()` method with ``:

```js
db.getSiblingDB('').getCollection('').dropIndex('')
```

#### Atlas Database

If you're hosting MongoDB on [Atlas](https://www.mongodb.com/atlas/database), use the following [Manage Indexes](https://www.mongodb.com/docs/atlas/atlas-ui/indexes/) guide to View, Create or Remove indexes.

> [!IMPORTANT]
> In Atlas, for production environments, it may be recommended to use rolling index builds by enabling the "Build index via rolling process" checkbox. ([*MongoDB official documentation*](https://www.mongodb.com/docs/v7.0/tutorial/build-indexes-on-replica-sets/))

## Upgrading

### To 2-0-0

This major chart version change (v1.4.X -> v2.0.0) contains some **incompatible breaking change needing manual actions**.

**Before applying the upgrade, read through this section!**

#### ⚠️ New Services

Codefesh 2.0 chart includes additional dependent microservices (charts):
- `argo-platform`: Main Codefresh GitOps module.
- `internal-gateway`: NGINX that proxies requests to the correct components (api-graphql, api-events, ui).
- `argo-hub-platform`: Service for Argo Workflow templates.
- `platform-analytics` and `etl-starter`: Service for [Pipelines dasboard](https://codefresh.io/docs/docs/dashboards/home-dashboard/#pipelines-dashboard)

These services require additional databases in MongoDB (`audit`/`read-models`/`platform-analytics-postgres`) and in Postgresql (`analytics` and `analytics_pre_aggregations`)
The helm chart is configured to re-run seed jobs to create necessary databases and users during the upgrade.

```yaml
seed:
# -- Enable all seed jobs
enabled: true
```

#### ⚠️ New MongoDB Indexes

Starting from version 2.0.0, two new MongoDB indexes have been added that are vital for optimizing database queries and enhancing overall system performance. It is crucial to create these indexes before performing the upgrade to avoid any potential performance degradation.

- `account_1_annotations.key_1_annotations.value_1` (db: `codefresh`; collection: `annotations`)
```json
{
"account" : 1,
"annotations.key" : 1,
"annotations.value" : 1
}
```

- `accountId_1_entityType_1_entityId_1` (db: `codefresh`; collection: `workflowprocesses`)

```json
{
"accountId" : 1,
"entityType" : 1,
"entityId" : 1
}
```

To prevent potential performance degradation during the upgrade, it is important to schedule a maintenance window during a period of low activity or minimal user impact and create the indexes mentioned above before initiating the upgrade process. By proactively creating these indexes, you can avoid the application automatically creating them during the upgrade and ensure a smooth transition with optimized performance.

**Index Creation**

If you're hosting MongoDB on [Atlas](https://www.mongodb.com/atlas/database), use the following [Create, View, Drop, and Hide Indexes](https://www.mongodb.com/docs/atlas/atlas-ui/indexes/) guide to create indexes mentioned above. It's important to create them in a rolling fashion (i.e. **Build index via rolling process** checkbox enabled) in produciton environment.

For self-hosted MongoDB, see the following instruction:

- Connect to the MongoDB server using the [mongosh](https://www.mongodb.com/docs/mongodb-shell/install/) shell. Open your terminal or command prompt and run the following command, replacing with the appropriate MongoDB connection string for your server:
```console
mongosh ""
```

- Once connected, switch to the `codefresh` database where the index will be located using the `use` command.
```console
use codefresh
```

- To create the indexes, use the createIndex() method. The createIndex() method should be executed on the db object.
```console
db.workflowprocesses.createIndex({ account: 1, 'annotations.key': 1, 'annotations.value': 1 }, { name: 'account_1_annotations.key_1_annotations.value_1', sparse: true, background: true })
```

```console
db.annotations.createIndex({ accountId: 1, entityType: 1, entityId: 1 }, { name: 'accountId_1_entityType_1_entityId_1', background: true })
```
After executing the createIndex() command, you should see a result indicating the successful creation of the index.

#### ⚠️ [Kcfi](https://github.com/codefresh-io/kcfi) Deprecation

This major release deprecates [kcfi](https://github.com/codefresh-io/kcfi) installer. The recommended way to install Codefresh On-Prem is **Helm**.
Due to that, Kcfi `config.yaml` will not be compatible for Helm-based installation.
You still can reuse the same `config.yaml` for the Helm chart, but you need to remove (or update) the following sections.

* `.Values.metadata` is deprecated. Remove it from `config.yaml`

*1.4.x `config.yaml`*
```yaml
metadata:
kind: codefresh
installer:
type: helm
helm:
chart: codefresh
repoUrl: http://chartmuseum.codefresh.io/codefresh
version: 1.4.x
```

* `.Values.kubernetes` is deprecated. Remove it from `config.yaml`

*1.4.x `config.yaml`*
```yaml
kubernetes:
namespace: codefresh
context: context-name
```

* `.Values.tls` (`.Values.webTLS`) is moved under `.Values.ingress.tls`. Remove `.Values.tls` from `config.yaml` afterwards.

See full [values.yaml](./values.yaml#L92).

*1.4.x `config.yaml`*
```yaml
tls:
selfSigned: false
cert: certs/certificate.crt
key: certs/private.key
```

*2.0.0 `config.yaml`*
```yaml
# -- Ingress
ingress:
# -- Enable the Ingress
enabled: true
# -- Set the ingressClass that is used for the ingress.
ingressClassName: nginx-codefresh
tls:
# -- Enable TLS
enabled: true
# -- Default secret name to be created with provided `cert` and `key` below
secretName: "star.codefresh.io"
# -- Certificate (base64 encoded)
cert: "LS0tLS1CRUdJTiBDRVJ...."
# -- Private key (base64 encoded)
key: "LS0tLS1CRUdJTiBSU0E..."
# -- Existing `kubernetes.io/tls` type secret with TLS certificates (keys: `tls.crt`, `tls.key`)
existingSecret: ""
```

* `.Values.images` is deprecated. Remove `.Values.images` from `config.yaml`.

- `.Values.images.codefreshRegistrySa` is changed to `.Values.imageCredentials`

- `.Values.privateRegistry.address` is changed to `.Values.global.imageRegistry` (no trailing slash `/` at the end)

See full `values.yaml` [here](./values.yaml#L2) and [here](./values.yaml#L143).

*1.4.x `config.yaml`*
```yaml
images:
codefreshRegistrySa: sa.json
usePrivateRegistry: true
privateRegistry:
address: myprivateregistry.domain
username: username
password: password
```

*2.0.0 `config.yaml`*
```yaml
# -- Credentials for Image Pull Secret object
imageCredentials: {}
# Pass sa.json (as a single line). Obtain GCR Service Account JSON (sa.json) at support@codefresh.io
# E.g.:
# imageCredentials:
# registry: gcr.io
# username: _json_key
# password: '{ "type": "service_account", "project_id": "codefresh-enterprise", "private_key_id": ... }'
```

*2.0.0 `config.yaml`*
```yaml
global:
# -- Global Docker image registry
imageRegistry: "myprivateregistry.domain"
```

* `.Values.dbinfra` is deprecated. Remove it from `config.yaml`

*1.4.x `config.yaml`*
```yaml
dbinfra:
enabled: false
```

* `.Values.firebaseUrl` and `.Values.firebaseSecret` is moved under `.Values.global`

*1.4.x `config.yaml`*
```yaml
firebaseUrl:
firebaseSecret:
newrelicLicenseKey:
```

*2.0.0 `config.yaml`*
```yaml
global:
# -- Firebase URL for logs streaming.
firebaseUrl: ""
# -- Firebase Secret.
firebaseSecret: ""
# -- New Relic Key
newrelicLicenseKey: ""
```

* `.Values.global.certsJobs` and `.Values.global.seedJobs` is deprecated. Use `.Values.seed.mongoSeedJob` and `.Values.seed.postgresSeedJob`.

See full [values.yaml](./values.yaml#L42).

*1.4.x `config.yaml`*
```yaml
global:
certsJobs: true
seedJobs: true
```

*2.0.0 `config.yaml`*
```yaml
seed:
# -- Enable all seed jobs
enabled: true
# -- Mongo Seed Job. Required at first install. Seeds the required data (default idp/user/account), creates cfuser and required databases.
# @default -- See below
mongoSeedJob:
enabled: true
# -- Postgres Seed Job. Required at first install. Creates required user and databases.
# @default -- See below
postgresSeedJob:
enabled: true
```

#### ⚠️ Migration to [Library Charts](https://helm.sh/docs/topics/library_charts/)

All Codefresh subchart templates (i.e. `cfapi`, `cfui`, `pipeline-manager`, `context-manager`, etc) have been migrated to use Helm [library charts](https://helm.sh/docs/topics/library_charts/).
That allows unifying the values structure across all Codefresh-owned charts. However, there are some **immutable** fields in the old charts which cannot be upgraded during a regular `helm upgrade`, and require additional manual actions.

Run the following commands before appying the upgrade.

* Delete `cf-runner` and `cf-builder` stateful sets.

```console
kubectl delete sts cf-runner --namespace $NAMESPACE
kubectl delete sts cf-builder --namespace $NAMESPACE
```

* Delete all jobs

```console
kubectl delete job --namespace $NAMESPACE -l release=cf
```

* In `values.yaml`/`config.yaml` remove `.Values.nomios.ingress` section if you have it

```yaml
nomios:
# Remove ingress section
ingress:
...
```

### To 2-0-12

#### ⚠️ Legacy ChartMuseum subchart deprecation

Due to deprecation of legacy ChartMuseum subchart in favor of upstream [chartmuseum](https://github.com/chartmuseum/charts/tree/main/src/chartmuseum), you need to remove the old deployment before the upgrade due to **immutable** `matchLabels` field change in the deployment spec.

```console
kubectl delete deploy cf-chartmuseum --namespace $NAMESPACE
```

#### ⚠️ Affected values

- If you have `.persistence.enabled=true` defined and NOT `.persistence.existingClaim` like:

```yaml
helm-repo-manager:
chartmuseum:
persistence:
enabled: true
```
then you **have to backup** the content of old PVC (mounted as `/storage` in the old deployment) **before the upgrade**!

```shell
POD_NAME=$(kubectl get pod -l app=chartmuseum -n $NAMESPACE --no-headers -o custom-columns=":metadata.name")
kubectl cp -n $NAMESPACE $POD_NAME:/storage $(pwd)/storage
```

**After the upgrade**, restore the content into new deployment:
```shell
POD_NAME=$(kubectl get pod -l app.kubernetes.io/name=chartmuseum -n $NAMESPACE --no-headers -o custom-columns=":metadata.name")
kubectl cp -n $NAMESPACE $(pwd)/storage $POD_NAME:/storage
```

- If you have `.persistence.existingClaim` defined, you can keep it as is:
```yaml
helm-repo-manager:
chartmuseum:
existingClaim: my-claim-name
```

- If you have `.Values.global.imageRegistry` specified, it **won't be** applied for the new chartmuseum subchart. Add image registry explicitly for the subchart as follows

```yaml
global:
imageRegistry: myregistry.domain.com

helm-repo-manager:
chartmuseum:
image:
repository: myregistry.domain.com/codefresh/chartmuseum
```

### To 2-0-17

#### ⚠️ Affected values

Values structure for argo-platform images has been changed.
Added `registry` to align with the rest of the services.

> values for <= v2.0.16
```yaml
argo-platform:
api-graphql:
image:
repository: gcr.io/codefresh-enterprise/codefresh-io/argo-platform-api-graphql
abac:
image:
repository: gcr.io/codefresh-enterprise/codefresh-io/argo-platform-abac
analytics-reporter:
image:
repository: gcr.io/codefresh-enterprise/codefresh-io/argo-platform-analytics-reporter
api-events:
image:
repository: gcr.io/codefresh-enterprise/codefresh-io/argo-platform-api-events
audit:
image:
repository: gcr.io/codefresh-enterprise/codefresh-io/argo-platform-audit
cron-executor:
image:
repository: gcr.io/codefresh-enterprise/codefresh-io/argo-platform-cron-executor
event-handler:
image:
repository: gcr.io/codefresh-enterprise/codefresh-io/argo-platform-event-handler
ui:
image:
repository: gcr.io/codefresh-enterprise/codefresh-io/argo-platform-ui
```

> values for >= v2.0.17

```yaml
argo-platform:
api-graphql:
image:
registry: gcr.io/codefresh-enterprise
repository: codefresh-io/argo-platform-api-graphql
abac:
image:
registry: gcr.io/codefresh-enterprise
repository: codefresh-io/argo-platform-abac
analytics-reporter:
image:
registry: gcr.io/codefresh-enterprise
repository: codefresh-io/argo-platform-analytics-reporter
api-events:
image:
registry: gcr.io/codefresh-enterprise
repository: codefresh-io/argo-platform-api-events
audit:
image:
registry: gcr.io/codefresh-enterprise
repository: codefresh-io/argo-platform-audit
cron-executor:
image:
registry: gcr.io/codefresh-enterprise
repository: codefresh-io/argo-platform-cron-executor
event-handler:
image:
registry: gcr.io/codefresh-enterprise
repository: codefresh-io/argo-platform-event-handler
ui:
image:
registry: gcr.io/codefresh-enterprise
repository: codefresh-io/argo-platform-ui
```

### To 2-1-0

### [What's new in 2.1.x](https://codefresh.io/docs/docs/whats-new/on-prem-release-notes/#on-premises-version-21)

#### Affected values:

- [Legacy ChartMuseum subchart deprecation](#to-2-0-12)
- [Argo-Platform images values structure change](#to-2-0-17)
- **Changed** default ingress paths. All paths point to `internal-gateway` now. **Remove any overrides at `.Values.ingress.services`!** (updated example for ALB)
- **Deprecated** `global.mongoURI`. **Supported for backward compatibility!**
- **Added** `global.mongodbProtocol` / `global.mongodbUser` / `global.mongodbPassword` / `global.mongodbHost` / `global.mongodbOptions`
- **Added** `global.mongodbUserSecretKeyRef` / `global.mongodbPasswordSecretKeyRef` / `global.mongodbHostSecretKeyRef`
- **Added** `seed.mongoSeedJob.mongodbRootUserSecretKeyRef` / `seed.mongoSeedJob.mongodbRootPasswordSecretKeyRef`
- **Added** `seed.postgresSeedJob.postgresUserSecretKeyRef` / `seed.postgresSeedJob.postgresPasswordSecretKeyRef`
- **Added** `global.firebaseUrlSecretKeyRef` / `global.firebaseSecretSecretKeyRef`
- **Added** `global.postgresUserSecretKeyRef` / `global.postgresPasswordSecretKeyRef` / `global.postgresHostnameSecretKeyRef`
- **Added** `global.rabbitmqUsernameSecretKeyRef` / `global.rabbitmqPasswordSecretKeyRef` / `global.rabbitmqHostnameSecretKeyRef`
- **Added** `global.redisPasswordSecretKeyRef` / `global.redisUrlSecretKeyRef`

- **Removed** `global.runtimeMongoURI` (defaults to `global.mongoURI` or `global.mongodbHost`/`global.mongodbHostSecretKeyRef`/etc like values)
- **Removed** `global.runtimeMongoDb` (defaults to `global.mongodbDatabase`)
- **Removed** `global.runtimeRedisHost` (defaults to `global.redisUrl`/`global.redisUrlSecretKeyRef` or `global.redisService`)
- **Removed** `global.runtimeRedisPort` (defaults to `global.redisPort`)
- **Removed** `global.runtimeRedisPassword` (defaults to `global.redisPassword`/`global.redisPasswordSecretKeyRef`)
- **Removed** `global.runtimeRedisDb` (defaults to values below)

```yaml
cfapi:
env:
RUNTIME_REDIS_DB: 0

cf-broadcaster:
env:
REDIS_DB: 0
```

### To 2-1-7

⚠️⚠️⚠️
> Since version 2.1.7 chart is pushed **only** to OCI registry at `oci://quay.io/codefresh/codefresh`

> Versions prior to 2.1.7 are still available in ChartMuseum at `http://chartmuseum.codefresh.io/codefresh`

### To 2-2-0

### [What's new in 2.2.x](https://codefresh.io/docs/docs/whats-new/on-prem-release-notes/#on-premises-version-22)

#### MongoDB 5.x

Codefresh On-Prem 2.2.x uses MongoDB 5.x (4.x is still supported). If you run external MongoDB, it is **highly** recommended to upgrade it to 5.x after upgrading Codefresh On-Prem to 2.2.x.

#### Redis HA

> If you run external Redis, this is not applicable to you.

Codefresh On-Prem 2.2.x adds (not replaces!) an **optional** Redis-HA (master/slave configuration with Sentinel sidecars for failover management) instead of a single Redis instance.
To enable it, see the following values:

```yaml
global:
redisUrl: cf-redis-ha-haproxy # Replace `cf` with your Helm release name

# -- Disable standalone Redis instance
redis:
enabled: false

# -- Enable Redis HA
redis-ha:
enabled: true
```

### To 2-3-0

### [What's new in 2.3.x](https://codefresh.io/docs/docs/whats-new/on-prem-release-notes/#on-premises-version-23)

⚠️ This major release changes default registry for Codefresh **private** images from GCR (`gcr.io`) to GAR (`us-docker.pkg.dev`)

Update `.Values.imageCredentials.registry` to `us-docker.pkg.dev` if it's explicitly set to `gcr.io` in your values file.

Default `.Values.imageCredentials` for Onprem **v2.2.x and below**
```yaml
imageCredentials:
registry: gcr.io
username: _json_key
password:
```

Default `.Values.imageCredentials` for Onprem **v2.3.x and above**
```yaml
imageCredentials:
registry: us-docker.pkg.dev
username: _json_key
password:
```

## Rollback

Use `helm history` to determine which release has worked, then use `helm rollback` to perform a rollback

> When rollback from 2.x prune these resources due to immutabled fields changes

```console
kubectl delete sts cf-runner --namespace $NAMESPACE
kubectl delete sts cf-builder --namespace $NAMESPACE
kubectl delete deploy cf-chartmuseum --namespace $NAMESPACE
kubectl delete job --namespace $NAMESPACE -l release=$RELEASE_NAME
```

```console
helm rollback $RELEASE_NAME $RELEASE_NUMBER \
--namespace $NAMESPACE \
--debug \
--wait
```

### To 2-4-0

### [What's new in 2.4.x](https://codefresh.io/docs/docs/whats-new/on-prem-release-notes/#on-premises-version-24)

#### New cfapi-auth role

New `cfapi-auth` role is introduced in 2.4.x.

If you run onprem with [multi-role cfapi configuration](#configuration-with-multi-role-cf-api), make sure to **enable** `cfapi-auth` role:

```yaml
cfapi-auth:
<<: *cf-api
enabled: true
```

#### Default SYSTEM_TYPE for acccounts

Since 2.4.x, `SYSTEM_TYPE` is changed to `PROJECT_ONE` by default.

If you want to preserve original `CLASSIC` values, update cfapi environment variables:

```yaml
cfapi:
container:
env:
DEFAULT_SYSTEM_TYPE: CLASSIC
```

### To 2-5-0

### [What's new in 2.5.x](https://codefresh.io/docs/docs/whats-new/on-prem-release-notes/#on-premises-version-25)

### To 2-6-0

> ⚠️ **WARNING! MongoDB indexes changed!**
>
> Please, follow [Maintaining MongoDB indexes](#maintaining-mongodb-indexes) guide to meet index requirements **BEFORE** the upgrade process.

### [What's new in 2.6.x](https://codefresh.io/docs/docs/whats-new/on-prem-release-notes/#on-premises-version-26)

#### Affected values

[Image digests in containers](#image-digests-in-containers)

### To 2-7-0

> ⚠️ **WARNING! MongoDB indexes changed!**
>
> Please, follow [Maintaining MongoDB indexes](#maintaining-mongodb-indexes) guide to meet index requirements **BEFORE** the upgrade process.

### [What's new in 2.7.x](https://codefresh.io/docs/docs/whats-new/on-prem-release-notes/#on-premises-version-27)

#### Affected values

- Added option to provide global `tolerations`/`nodeSelector`/`affinity` for all Codefresh subcharts
> **Note!** These global settings will not be applied to Bitnami subcharts (e.g. `mongodb`, `redis`, `rabbitmq`, `postgres`. etc)

```yaml
global:
tolerations:
- key: "key"
operator: "Equal"
value: "value"
effect: "NoSchedule"

nodeSelector:
key: "value"

affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: "key"
operator: "In"
values:
- "value"
```

### To 2-8-0

> ⚠️ **WARNING! MongoDB indexes changed!**
>
> Please, follow [Maintaining MongoDB indexes](#maintaining-mongodb-indexes) guide to meet index requirements **BEFORE** the upgrade process.

### [What's new in 2.8.x](https://codefresh.io/docs/docs/whats-new/on-prem-release-notes/#on-premises-version-28)

### ⚠️ ⚠️ ⚠️ Breaking changes. Read before upgrading!

### MongoDB update

Default MongoDB image is changed from 6.x to 7.x.

If you run external MongoDB (i.e. [Atlas](https://cloud.mongodb.com)), it is **required** to upgrade it to 7.x after upgrading Codefresh On-Prem to 2.8.x.

- **Before the upgrade**, for backward compatibility (in case you need to rollback to 6.x), you should set [`featureCompatibilityVersion`](https://www.mongodb.com/docs/v6.0/reference/command/setFeatureCompatibilityVersion/) to `6.0` in your values file.

```yaml
mongodb:
migration:
enabled: true
featureCompatibilityVersion: "6.0"
```

- Perform Codefresh On-Prem upgrade to 2.8.x. Make sure all systems are up and running.

- **After the upgrade**, if all system are stable, you need to set `featureCompatibilityVersion` to `7.0` in your values file and re-deploy the chart.

```yaml
mongodb:
migration:
enabled: true
featureCompatibilityVersion: "7.0"
```

⚠️ ⚠️ ⚠️ If FCV (FeatureCompatibilityVersion) is managed by MongoDB itself (i.e. Atlas), you can disable it completely (that is default value in Helm chart)

```yaml
mongodb:
migration:
enabled: false
```

### PostgreSQL update

Default PostgreSQL image is changed from 13.x to 17.x

If you run external PostgreSQL, follow the [official instructions](https://www.postgresql.org/docs/17/upgrading.html) to upgrade to 17.x.

> ⚠️ **Important!**

> The default SSL configuration may change on your provider's side when you upgrade.

> Please read the following section before the upgrade: [Using SSL with a PostgreSQL](#using-ssl-with-a-postgresql)

⚠️ ⚠️ ⚠️ 16.x version is also supported (17.x version of PostgreSQL is still in preview on multiple cloud providers)

⚠️ ⚠️ ⚠️ If you run built-in PostgreSQL `bitnami/postgresql` subchart, direct upgrade is not supported due to **incompatible breaking changes** in the database files. You will see the following error in the logs:
```
postgresql 17:36:28.41 INFO ==> ** Starting PostgreSQL **
2025-05-21 17:36:28.432 GMT [1] FATAL: database files are incompatible with server
2025-05-21 17:36:28.432 GMT [1] DETAIL: The data directory was initialized by PostgreSQL version 13, which is not compatible with this version 17.2.
```
You need to backup your data, delete the old PostgreSQL StatefulSet with PVCs and restore the data into a new PostgreSQL StatefulSet.

- **Before the upgrade**, backup your data on a separate PVC

- Create PVC with the same or bigger size as your current PostgreSQL PVC:

```yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: postgresql-dump
spec:
storageClassName:
resources:
requests:
storage:
volumeMode: Filesystem
accessModes:
- ReadWriteOnce
```

- Create a job to dump the data from the old PostgreSQL StatefulSet into the new PVC:

```yaml
apiVersion: batch/v1
kind: Job
metadata:
name: postgresql-dump
spec:
ttlSecondsAfterFinished: 300
template:
spec:
containers:
- name: postgresql-dump
image: quay.io/codefresh/postgresql:17
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "1Gi"
cpu: "1"
env:
- name: PGUSER
value: ""
- name: PGPASSWORD
value: ""
- name: PGHOST
value: ""
- name: PGPORT
value: ""
command:
- "/bin/bash"
- "-c"
- |
pg_dumpall --verbose > /opt/postgresql-dump/dump.sql
volumeMounts:
- name: postgresql-dump
mountPath: /opt/postgresql-dump
securityContext:
runAsUser: 0
fsGroup: 0
volumes:
- name: postgresql-dump
persistentVolumeClaim:
claimName: postgresql-dump
restartPolicy: Never
```

- Delete old PostgreSQL StatefulSet and PVC

```console
STS_NAME=$(kubectl get sts -n $NAMESPACE -l app.kubernetes.io/instance=$RELEASE_NAME -l app.kubernetes.io/name=postgresql -o jsonpath='{.items[0].metadata.name}')
PVC_NAME=$(kubectl get pvc -n $NAMESPACE -l app.kubernetes.io/instance=$RELEASE_NAME -l app.kubernetes.io/name=postgresql -o jsonpath='{.items[0].metadata.name}')

kubectl delete sts $STS_NAME -n $NAMESPACE
kubectl delete pvc $PVC_NAME -n $NAMESPACE
```

- Peform the upgrade to 2.8.x with PostgreSQL seed job enabled to re-create users and databases

```yaml
seed:
postgresSeedJob:
enabled: true
```

- Create a job to restore the data from the new PVC into the new PostgreSQL StatefulSet:

```yaml
apiVersion: batch/v1
kind: Job
metadata:
name: postgresql-restore
spec:
ttlSecondsAfterFinished: 300
template:
spec:
containers:
- name: postgresql-restore
image: quay.io/codefresh/postgresql:17
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "1Gi"
cpu: "1"
env:
- name: PGUSER
value: ""
- name: PGPASSWORD
value: ""
- name: PGHOST
value: ""
- name: PGPORT
value: ""
command:
- "/bin/bash"
- "-c"
- |
psql -f /opt/postgresql-dump/dump.sql
volumeMounts:
- name: postgresql-dump
mountPath: /opt/postgresql-dump
securityContext:
runAsUser: 0
fsGroup: 0
volumes:
- name: postgresql-dump
persistentVolumeClaim:
claimName: postgresql-dump
restartPolicy: Never
```

### RabbitMQ update

Default RabbitMQ image is changed from 3.x to 4.0

If you run external RabbitMQ, follow the [official instructions](https://www.rabbitmq.com/docs/upgrade) to upgrade to 4.0

For built-in RabbitMQ `bitnami/rabbitmq` subchart, pre-upgrade hook was added to enable all stable feature flags.

#### Affected values

- Added option to provide `.Values.global.tolerations`/`.Values.global.nodeSelector`/`.Values.global.affinity` for all Codefresh subcharts

- Changed default location for public images from `quay.io/codefresh` to `us-docker.pkg.dev/codefresh-inc/public-gcr-io/codefresh`

- `.Values.hooks` was splitted into `.Values.hooks.mongodb` and `.Values.hooks.consul`

### To 2-9-0

> [!WARNING]
> **BREAKING CHANGES**
>
> Default DinD image has been upgraded to 28.x, which removes support for pushing and pulling with legacy image manifest v2 schema 1 ([ref](https://docs.docker.com/engine/deprecated/#pushing-and-pulling-with-image-manifest-v2-schema-1)).
>
> Before upgrading Codefresh, please follow the instruction in [this doc](https://codefresh.io/docs/docs/kb/articles/upgrade-deprecated-docker-images/) to identify deprecated images, upgrade them, and then proceed with upgrading the platform.

### To 2-9-9

> **BREAKING CHANGES in Default Runtime**
>
> Default Runtime (`system/default`) drops support for Kubernetes versions older than 1.32 in `deploy` step ([docs](https://codefresh.io/docs/docs/pipelines/steps/deploy/)). Supported versions are: 1.34, 1.33, 1.32.

#### Affected values

- `.Values.runner` is removed

#### Changes in MongoDB schema

Changes in indexes: follow [Maintaining MongoDB indexes](#maintaining-mongodb-indexes) guide to meet index requirements *before* the upgrade process.

Changes in collections: following collections can be safely dropped *after* the upgrade to 2.9.x if they exist. These collections are no longer used and should be removed to maintain optimal database performance and prevent the accumulation of obsolete data.

- `read-models.application-tree`
- `read-models.-history` — every collection with `~-history` suffix, such as `read-models.applications-history`, `read-models.services-history`, etc.

## Troubleshooting

### Error: Failed to validate connection to Docker daemon; caused by Error: certificate has expired

Builds are stuck in pending with `Error: Failed to validate connection to Docker daemon; caused by Error: certificate has expired`

**Reason:** Runtime certificates have expiried.

To check if runtime internal CA expired:

```console
kubectl -n $NAMESPACE get secret/cf-codefresh-certs-client -o jsonpath="{.data['ca\.pem']}" | base64 -d | openssl x509 -enddate -noout
```

**Resolution:** Replace internal CA and re-issue dind certs for runtime

- Delete k8s secret with expired certificate
```console
kubectl -n $NAMESPACE delete secret cf-codefresh-certs-client
```

- Set `.Values.global.gencerts.enabled=true` (`.Values.global.certsJob=true` for onprem < 2.x version)

```yaml
# -- Job to generate internal runtime secrets.
# @default -- See below
gencerts:
enabled: true
```

- Upgrade Codefresh On-Prem Helm release. It will recreate `cf-codefresh-certs-client` secret
```console
helm upgrade --install cf codefresh/codefresh \
-f cf-values.yaml \
--namespace codefresh \
--create-namespace \
--debug \
--wait \
--timeout 15m
```

- Restart `cfapi` and `cfsign` deployments

```console
kubectl -n $NAMESPACE rollout restart deployment/cf-cfapi
kubectl -n $NAMESPACE rollout restart deployment/cf-cfsign
```

**Case A:** Codefresh Runner installed with HELM chart ([charts/cf-runtime](https://github.com/codefresh-io/venona/tree/release-1.0/charts/cf-runtime))

Re-apply the `cf-runtime` helm chart. Post-upgrade `gencerts-dind` helm hook will regenerate the dind certificates using a new CA.

**Case B:** Codefresh Runner installed with legacy CLI ([codefresh runner init](https://codefresh-io.github.io/cli/runner/init/))

Delete `codefresh-certs-server` k8s secret and run [./configure-dind-certs.sh](https://github.com/codefresh-io/venona/blob/release-1.0/charts/cf-runtime/files/configure-dind-certs.sh) in your runtime namespace.

```console
kubectl -n $NAMESPACE delete secret codefresh-certs-server
./configure-dind-certs.sh -n $RUNTIME_NAMESPACE https://$CODEFRESH_HOST $CODEFRESH_API_TOKEN
```

### Consul Error: Refusing to rejoin cluster because the server has been offline for more than the configured server_rejoin_age_max

After platform upgrade, Consul fails with the error `refusing to rejoin cluster because the server has been offline for more than the configured server_rejoin_age_max - consider wiping your data dir`. There is [known issue](https://github.com/hashicorp/consul/issues/20722) of **hashicorp/consul** behaviour. Try to wipe out or delete the consul PV with config data and restart Consul StatefulSet.