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https://github.com/falarica/steerd-presto-operator
Kubernetes (K8s) Operator for PrestoDB
https://github.com/falarica/steerd-presto-operator
Last synced: 3 months ago
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Kubernetes (K8s) Operator for PrestoDB
- Host: GitHub
- URL: https://github.com/falarica/steerd-presto-operator
- Owner: falarica
- License: apache-2.0
- Created: 2020-09-05T04:37:35.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2021-09-29T10:18:51.000Z (about 3 years ago)
- Last Synced: 2024-05-22T14:31:40.672Z (6 months ago)
- Language: Go
- Homepage:
- Size: 94.7 KB
- Stars: 45
- Watchers: 10
- Forks: 19
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SteerD Presto Kubernetes Operator
[Kubernetes](https://kubernetes.io/docs/home/) is an open source container orchestration engine for automating deployment, scaling, and management of containerized applications. [Operators](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/) are software extensions to Kubernetes that make use of custom resources to manage applications and their components. Operators follow Kubernetes principles, notably the control loop.
SteerD Presto Operator is a Kubernetes Operator for Presto to manage Presto clusters which are deployed as custom resources. In short, the task of configuring, creating, managing, automatically scaling up and scaling-in of Presto cluster(s) in a Kubernetes environment has been made simple, easy and quick.
## Deploying Operator
### Deploying Operator - Locally
*Step 1:* Enable metrics server for k8s, if not already enabled. [See this](https://github.com/kubernetes-sigs/metrics-server). This is needed for horizontal pod autoscaling.
*Step 2:* Build the operator
```bash
$ go build -o steerd-presto-operator cmd/manager/main.go
```
*Step 3:* Deploy the CRD
```bash
$ kubectl apply -f deploy/crds/falarica.io_prestos_crd.yaml
```
*Step 4:* Start the controller with the right credentials
```bash
$ ./steerd-presto-operator -kubeconfig /home/hemant/.kube/config
```
### Deploying Operator - GKE
*Step 1:* Enable metrics server for GKE, if not already enabled. [See this](https://github.com/kubernetes-sigs/metrics-server). This is needed for horizontal pod autoscaling.
*Step 2:* Create Operator Image Using Google CloudBuild
```bash
$ docker/gcloudDockerBuild.sh
```
*Step 3:* Deploy the CRD
```bash
$ kubectl apply -f deploy/crds/falarica.io_prestos_crd.yaml
```
*Step 4:* Update the Operator yaml with image name
```bash
# Here gcr.io/fluid-tangent-249303/steerd-presto-operator is the name of image.
# Replace it with your image name
$ sed -i 's/REPLACE_IMAGE/gcr.io\/fluid-tangent-249303\/steerd-presto-operator/g' deploy/operator.yaml
```
*Step 5:* Launch the operator
```bash
$ kubectl apply -f deploy/operator.yaml
```
## Deploy Presto Cluster
Deploy the presto cluster
```bash
$ ## Deploy Presto
$ kubectl apply -f deploy/crds/falarica_prestodb.yaml
```
## Further Details
- [Creating Presto Cluster](docs/prestoresource.md)
- [Managing Presto Cluster](docs/status.md)
- [Autoscaling](docs/autoscaling.md)
- [Catalogs](docs/catalog.md)
- [Services](docs/service.md)
- [Additional Volumes](docs/additionalvolumes.md)
- [HTTPS Support](docs/https.md)
- [Caveats/Future Work](docs/caveats.md)
## Community support
* [Slack](https://join.slack.com/t/falarica/shared_invite/zt-gql1dl9i-mm6lOJYgsEUuF6JXIgxCcA) 