grafana-aws-cloudwatch-dashboards
robusta
Our great sponsors
| grafana-aws-cloudwatch-dashboards | robusta | |
|---|---|---|
| 2 | 36 | |
| 1,973 | 2,419 | |
| 1.2% | 2.6% | |
| 5.9 | 9.6 | |
| about 1 month ago | 4 days ago | |
| Jsonnet | Python | |
| GNU General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
grafana-aws-cloudwatch-dashboards
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Importing dashboard with API
I've been using the "guide" here: https://github.com/monitoringartist/grafana-aws-cloudwatch-dashboards
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Monitoring and logging with Amazon Managed Workflows for Apache Airflow
Creation of dashboards in Grafana dashboards is outside the scope of this post, but you should have everything you need to get going now. I did find and spend some time exploring this great resource that will probably be a great help if you want to go down this path.
robusta
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Show HN: Kr8s a batteries-included Python client library for Kubernetes
To put one more option out there, we use Hikaru (https://pypi.org/project/hikaru/) in Robusta.dev (https://github.com/robusta-dev/robusta) and have been pretty happy with it. Example code below:
with Pod().read(name='thename', namespace='the-namespace') as p: - Robusta 0.10.17 released - track Ingress changes, Helm failures, and more
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datadog-agent VS robusta - a user suggested alternative
2 projects | 31 May 2023
Open Source alternative based on Prometheus
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kubevoy VS robusta - a user suggested alternative
2 projects | 31 May 2023
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Kubernetes Tooling ranking on GitHub
I'm from the Robusta team (https://github.com/robusta-dev/robusta) which bursts upwards towards the end. Happy to answer any questions!
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Broke the Kubernetes cluster, and asked ChatGPT to write me a poem about it in Shakespear style
The guys at Robusta, added it into thier slack so when alerts pop of issues in k8s, chatgpt can be used to investigate and offer options to check and potentially solutions. Next phase is probably to let it also apply it :)
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Troubleshooting k8s - your recommendations for strategies and tools.
It's no replacement for learning how things work, but we're trying to automate common troubleshooting cases with Robusta. https://github.com/robusta-dev/robusta
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How to automate repetitive tasks in Kubernetes with runbooks
https://docs.robusta.dev/master/ https://github.com/robusta-dev/robusta
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Most efficient way to check all containers cluster wide for missing probes?
This is the sort of thing we built Robusta for: https://github.com/robusta-dev/robusta
- Writing Operators
What are some alternatives?
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
karma - Alert dashboard for Prometheus Alertmanager
cloudprober - [Moved to cloudprober/cloudprober] An active monitoring software to detect failures before your customers do.
chartmuseum - helm chart repository server
Netdata - The open-source observability platform everyone needs
debug-toolkit - A modern code-injection framework for Python. Like Pyrasite but Kubernetes-aware.
netdata - Real-time performance monitoring, done right! https://www.netdata.cloud [Moved to: https://github.com/netdata/netdata]
pydantic-aioredis - A Declarative ORM for Redis using Pydantic Models and aioredis
cw - The best way to tail AWS CloudWatch Logs from your terminal
docker-swarm-tools - This repository contains useful docker-swarm-tools.
redoc - 📘 OpenAPI/Swagger-generated API Reference Documentation
kubectl - Issue tracker and mirror of kubectl code