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https://github.com/cloudprober/cloudprober

An active monitoring software to detect failures before your customers do.
https://github.com/cloudprober/cloudprober

blackbox-monitoring cloud cloud-monitoring cloudwatch datadog devops golang google grafana k8s kubernetes monitoring observability prober prometheus slo sre stackdriver synthetic-monitoring uptime

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An active monitoring software to detect failures before your customers do.

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README 

        
[![Docker Pulls](https://img.shields.io/docker/pulls/cloudprober/cloudprober.svg)](https://hub.docker.com/v2/repositories/cloudprober/cloudprober/)

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[![Security Rating](https://sonarcloud.io/api/project_badges/measure?project=cloudprober_cloudprober&metric=security_rating)](https://sonarcloud.io/summary/new_code?id=cloudprober_cloudprober)

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Homepage and documentation: [cloudprober.org](https://cloudprober.org)



_NOTE: Cloudprober's active development moved from

~~[google/cloudprober](https://github.com/google/cloudprober)~~ to

[cloudprober/cloudprober](https://github.com/cloudprober/cloudprober) in

Nov, 2021. We lost a bunch of Github stars (1400) in the process. See

[story of cloudprober](https://medium.com/@manugarg/story-of-cloudprober-5ac1dbc0066c)

to learn more about the history of Cloudprober._



Cloudprober is a monitoring software that makes it super-easy to monitor

availability and performance of various components of your system. Cloudprober

employs the "active" monitoring model. It runs probes against (or on) your

components to verify that they are working as expected. For example, it can run

a probe to verify that your frontends can reach your backends. Similarly it can

run a probe to verify that your in-Cloud VMs can actually reach your on-premise

systems. This kind of monitoring makes it possible to monitor your systems'

interfaces regardless of the implementation and helps you quickly pin down

what's broken in your system (see

[why probers](https://medium.com/@manugarg/why-you-need-probers-f38400f5830e)).






## Features



- Out of the box, config based, integration with many popular monitoring

  systems:



  - [Prometheus/Grafana](https://prometheus.io)

  - [DataDog](https://www.datadoghq.com/)

  - [PostgreSQL](https://www.postgresql.org/)

  - [AWS CloudWatch](https://aws.amazon.com/cloudwatch/)

  - [StackDriver / Google Cloud Monitoring](https://cloud.google.com/stackdriver/)



- Multiple options for checks:



  - _Efficient, highly scalable_, built-in probes:

    [HTTP](https://github.com/cloudprober/cloudprober/blob/master/probes/http/proto/config.proto),

    [PING](https://github.com/cloudprober/cloudprober/blob/master/probes/ping/proto/config.proto),

    [TCP](https://github.com/cloudprober/cloudprober/blob/master/probes/tcp/proto/config.proto),

    [DNS](https://github.com/cloudprober/cloudprober/blob/master/probes/dns/proto/config.proto),

    [gRPC](https://github.com/cloudprober/cloudprober/blob/master/probes/grpc/proto/config.proto),

    [UDP](https://github.com/cloudprober/cloudprober/blob/master/probes/udp/proto/config.proto).

  - Run custom checks through the

    _"[external](https://cloudprober.org/how-to/external-probe/)"_ probe type.



- Automated targets discovery to make Cloud deployments as painless as possible:



  - _[Kubernetes](https://cloudprober.org/how-to/run-on-kubernetes/#kubernetes-targets)_

    resources.

  - _[GCP](https://github.com/cloudprober/cloudprober/blob/master/internal/rds/gcp/proto/config.proto)_

    instances, forwarding rules, and pub/sub messages.

  - _[File](https://github.com/cloudprober/cloudprober/blob/master/internal/rds/file/proto/config.proto#L34)_

    based targets.



- Deployment friendly:



  - Written entirely in Go, and compiles into a static binary.

  - Deploy as a standalone binary, or through docker containers.

  - Continuous, automated target discovery, to ensure that most infrastructure

    changes don't require re-deployment.



- Low footprint. Cloudprober takes advantage of the Go's concurrency paradigms,

  and makes most of the available processing power.

- Configurable metrics:



  - Configurable metrics labels, based on the resource labels.

  - Latency histograms for percentile calculations.



- Extensible architecture. Cloudprober can be easily extended along most of the

  dimensions. Adding support for other Cloud targets, monitoring systems and

  even a new probe type, is straight-forward and fairly easy.



## Getting Started



Visit [Getting Started](http://cloudprober.org/getting-started) page to get

started with Cloudprober.



## Feedback



We'd love to hear your feedback. If you're using Cloudprober, would you please

mind sharing how you use it by adding a comment

[here](https://github.com/cloudprober/cloudprober/discussions/121). It will be a

great help in planning Cloudprober's future progression.



Join

[Cloudprober Slack](https://join.slack.com/t/cloudprober/shared_invite/enQtNjA1OTkyOTk3ODc3LWQzZDM2ZWUyNTI0M2E4NmM4NTIyMjM5M2E0MDdjMmU1NGQ3NWNiMjU4NTViMWMyMjg0M2QwMDhkZGZjZmFlNGE)

or [Github discussions](https://github.com/cloudprober/cloudprober/discussions)

for questions and discussion about Cloudprober.