opentelemetry-go-instrumentation
parca
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| opentelemetry-go-instrumentation | parca | |
|---|---|---|
| 3 | 18 | |
| 360 | 3,833 | |
| 14.2% | 3.2% | |
| 9.7 | 9.9 | |
| 4 days ago | 4 days ago | |
| C | 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.
opentelemetry-go-instrumentation
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OpenTelemetry Journey #01 - Important concepts
Go
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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?
Not sure that you could in any language. Need runtime reflection to have metadata about the original source code. Java and go both have runtime reflection, so it is possible for those languages and go’s auto-instrumentation implementation of OpenTelemetry uses eBPF for exactly that purpose.
- Tool for Automatic Instrumentation of OpenTelemetry Traces
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?
bpftime - Userspace eBPF runtime for fast Uprobe & Syscall hook & Extensions with LLVM JIT
pyroscope - Continuous Profiling Platform. Debug performance issues down to a single line of code [Moved to: https://github.com/grafana/pyroscope]
appscope - Gain observability into any Linux command or application with no code modification
pyroscope - Continuous Profiling Platform. Debug performance issues down to a single line of code
caretta - Instant K8s service dependency map, right to your Grafana.
pixie - Instant Kubernetes-Native Application Observability
pprof - pprof is a tool for visualization and analysis of profiling data
profefe - Continuous profiling for long-term postmortem analysis
grafana-operator - An operator for Grafana that installs and manages Grafana instances, Dashboards and Datasources through Kubernetes/OpenShift CRs
roumon - Universal goroutine monitor using pprof and termui
go-profiler-notes - felixge's notes on the various go profiling methods that are available.
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool