k8s-stackdriver | : exclamation : Tools in this repository | GCP library

by GoogleCloudPlatform Go Version: event-exporter-v0.4.3 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | k8s-stackdriver Summary

k8s-stackdriver is a Go library typically used in Cloud, GCP, Ansible applications. k8s-stackdriver has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

:exclamation: Tools in this repository are not meant for end-users. It contains source code for tools that are pre-installed in the GKE clusters. Google Cloud Operations suite (fka Stackdriver) provides advanced monitoring and logging solution that will allow you to get more insights into your Kubernetes clusters. If you are a Google Kubernetes Engine (GKE) user, you get integration with Cloud Monitoring and Logging out of the box.

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Quality

Security

License

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Support

k8s-stackdriver has a low active ecosystem.

It has 373 star(s) with 201 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 89 open issues and 56 have been closed. On average issues are closed in 96 days. There are 29 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of k8s-stackdriver is event-exporter-v0.4.3

Quality

k8s-stackdriver has 0 bugs and 0 code smells.

Security

k8s-stackdriver has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

k8s-stackdriver code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

k8s-stackdriver is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

k8s-stackdriver releases are available to install and integrate.

It has 13116 lines of code, 550 functions and 91 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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k8s-stackdriver Key Features

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k8s-stackdriver Examples and Code Snippets

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Community Discussions

Trending Discussions on k8s-stackdriver

Autoscaling Deployments with Cloud Monitoring metrics

Error scaling up in HPA in GKE: apiserver was unable to write a JSON response: http2: stream closed

GKE - HPA using custom metrics - unable to fetch metrics

QUESTION

Autoscaling Deployments with Cloud Monitoring metrics

Asked 2021-May-21 at 09:35

I am trying to auto-scale my pods based on CloudSQL instance response time. We are using cloudsql-proxy for secure connection. Deployed the Custom Metrics Adapter.

https://raw.githubusercontent.com/GoogleCloudPlatform/k8s-stackdriver/master/custom-metrics-stackdriver-adapter/deploy/production/adapter_new_resource_model.yaml

...

ANSWER

Answered 2021-May-21 at 09:35

Please refer to the link below to deploy a HorizontalPodAutoscaler (HPA) resource to scale your application based on Cloud Monitoring metrics.

https://cloud.google.com/kubernetes-engine/docs/tutorials/autoscaling-metrics#custom-metric_4

Looks like the custom metric name is different in the app and hpa deployment configuration files(yaml). Metric and application names should be the same in both app and hpa deployment configuration files.
In the hpa deployment yaml file,

a. Replace custom-metric-stackdriver-adapter with custom-metric (Or change the metric name to custom-metric-stackdriver-adapter in the app deployment yaml file).

b. Add “namespace: default” next to the application name at metadata.Also ensure you are adding the namespace in the app deployment configuration file.

c. Delete the duplicate lines 6 & 7 (minReplicas: 1, maxReplicas: 5).

d. Go to Cloud Console->Kubernetes Engine->Workloads. Delete the workloads (application-name & custom-metrics-stackdriver-adapter) created by app deployment yaml and adapter_new_resource_model.yaml files.

e. Now apply configurations to resource model, app and hpa (yaml files).

Source https://stackoverflow.com/questions/67261520

QUESTION

Error scaling up in HPA in GKE: apiserver was unable to write a JSON response: http2: stream closed

Asked 2021-Apr-13 at 22:42

Following the guide that google made for deploying an HPA in Google Kubernetes Engine: https://cloud.google.com/kubernetes-engine/docs/tutorials/autoscaling-metrics

And adding the right permissions because I am using Workload Identity with this guide: https://github.com/GoogleCloudPlatform/k8s-stackdriver/tree/master/custom-metrics-stackdriver-adapter

And also adding the firewall-rule commented here: https://github.com/kubernetes-sigs/prometheus-adapter/issues/134

I am stuck in a point where the HPA returns me this error:

...

ANSWER

Answered 2021-Apr-13 at 22:42

Resolved for me!

After a several of test, changing in the HPA yaml,

the metric from Pod to External, and the metric name with custom.google.apis/my-metric, it works!

Source https://stackoverflow.com/questions/67073909

QUESTION

GKE - HPA using custom metrics - unable to fetch metrics

Asked 2020-Apr-20 at 06:37

I have custom metrics exported to Google Cloud Monitoring and i want to scale my deployment according to it.

This is my HPA:

...

ANSWER

Answered 2020-Apr-08 at 10:42

Check metrics server pod running in your kube-system namespace. or else you can use this.

Source https://stackoverflow.com/questions/61098043

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install k8s-stackdriver

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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