grafana-operator
parca
| grafana-operator | parca | |
|---|---|---|
| 3 | 18 | |
| 785 | 3,848 | |
| 3.7% | 1.6% | |
| 9.5 | 9.9 | |
| 3 days ago | 1 day ago | |
| Go | TypeScript | |
| Apache License 2.0 | Apache License 2.0 |
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-operator
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How to detect whether cluster is openshift?
Have a look at https://github.com/grafana-operator/grafana-operator/blob/master/controllers/autodetect/main.go :)
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Cheapest monitoring solution for AWS?
If you run your instance on EKS with the grafana operator then you can install them like any other cuszom resource. (Not sure if you are using Fargate with ECS or EKS) https://github.com/grafana-operator/grafana-operator/blob/master/documentation/dashboards.md
- The ConfigMap is invalid: metadata.annotations: Too long: must have at most 262144 characters
parca
- Seeing what a Go process does (like `set -x`)
- Julia 1.9 Highlights
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Track Code Efficiency during Development
Continuous profiling tools such as parca may be worth looking into for your use case.
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Hi everyone, How could you find the lines executed for a particular method call in any language (java, go..) using eBPF?
They were bought by Elastic, maybe they'll open source it. There's also https://github.com/parca-dev/parca
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How do you monitor your Go apps?
an alternative option to pyroscope to do continuos profiling in production could be parca.dev check and here
- Go garbage collector doesn't release memory
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How to observe an http web application in real time with pprof?
+1 to Parca.dev https://github.com/parca-dev/parca as continuos profiling tool in production
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Continuous Profiling in Kubernetes Using Pyroscope
Parca collects, stores and makes profiles available to be queried over time. It is open source and can be deployed on production environments as Parca focuses on sampling profiling two main types of profiles: tracing and sampling.
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Launch HN: ContainIQ (YC S21) – Kubernetes Native Monitoring with eBPF
Polar signals develops Parca [0] which is another eBPF observability tool, and Isovalent develops Cilium [1] which is built on eBPF as well. Genuinely curious if there are differences, or if eBPF only allows for specific observability functionality and each tool has it all.
[0]: https://github.com/parca-dev/parca
[1]: https://github.com/cilium/cilium
- Parca: Continuous profiling for analysis of CPU and memory usage over time
What are some alternatives?
opentelemetry-go-instrumentation - OpenTelemetry auto-instrumentation for Go applications
pyroscope - Continuous Profiling Platform. Debug performance issues down to a single line of code [Moved to: https://github.com/grafana/pyroscope]
hyperconverged-cluster-operator - Operator pattern for managing multi-operator products
pyroscope - Continuous Profiling Platform. Debug performance issues down to a single line of code
gatus - ⛑ Automated developer-oriented status page
pixie - Instant Kubernetes-Native Application Observability
argocd-operator - A Kubernetes operator for managing Argo CD clusters.
pprof - pprof is a tool for visualization and analysis of profiling data
mongodb-operator - A golang based operator to create and manage MongoDB standalone setup and cluster setup
profefe - Continuous profiling for long-term postmortem analysis
kapp - kapp is a simple deployment tool focused on the concept of "Kubernetes application" — a set of resources with the same label
roumon - Universal goroutine monitor using pprof and termui