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kakkoyun/README.md

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wakatime

Reasoned Software Infrastructure Engineer. Performance Engineer. Site Reliability Engineer. System Programmer. Dealing with Observability, Reliability, and Performance. πŸ€” Slow thinker. Open Source Enthusiast. Mentor (CNCF LFX, Google Summer of Code, CommunityBridge, GoBridge). Blogger and speaker. Introverted Human (not Cylon, I guess). πŸ˜„ Pronouns: He/Him or They/Them.

πŸ”­ I’m currently working on an eBPF-based profiler. Also, I help to build large-scale, distributed systems, observability infrastructure, and real-time data storage systems. 🌱 I’m currently learning the internals of time-series and columnar databases, distributed systems, and building highly available systems.

Sucker for @ziglang, @rust-lang, and @golang!

For more, visit kakkoyun.me/about

From: 25 October 2024 - To: 01 November 2024

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Zig        1 hr 30 mins    β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   11.60 %
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Further details wakatime.com/@kemal

Blog posts

A new chapter in my professional journey As the flowers bloom and the world awakens to the vibrant colors of spring, a season of renewal and growth, I find myself embarking on a significant transition in my professional journey. (Too cheesy? I know, but bear with me.) This year, I find myself absent from the vibrant buzz of KubeCon, a place of learning and connection that I hold dear. Instead, I’m on a different kind of duty β€” one that involves diapers and the joys of parenthood.

Originally published on polarsignals.com/blog on 04.10.2023 https://www.polarsignals.com/blog/posts/2023/10/04/profiling-python-and-ruby-with-ebpf/

I am too lazy now a days to re-post the blog post with all its assets and animations here. So until I get to it, I have put a link to it here. Enjoy :) Originally published on polarsignals.com/blog on 28.03.2023 https://www.polarsignals.com/blog/posts/2023/03/28/how-to-read-icicle-and-flame-graphs

This is a blog post series. If you haven’t read Part 1 we recommend you to do so first! Originally published on polarsignals.com/blog on 27.01.2022 In the first blog post, we learned about the fantastic symbols (debug symbols), how the symbolization process works and lastly, how to find the symbolic names of addresses in a compiled binary. The actual location of the symbolic information depends on the programming language implementation the program is written in.

Originally published on polarsignals.com/blog on 13.01.2022 Symbolization is a technique that allows you to translate machine memory addresses to human-readable symbol information (symbols). Why do we need to read what programs do anyways? We usually do not need to translate everything to a human-readable format when things run smoothly. But when things go south, we need to understand what is going on under the hood. Symbolization is needed by introspection tools like debuggers, profilers and core dumps or any other program that needs to trace the execution of another program.

For more visit kakkoyun.me/posts

Talks

FOSDEM 2024 - Profiling Python with eBPF: A New Frontier in Performance Analy... February 6, 2024
Prometheus Updates and Deep Dive - Kemal Akkoyun, Polar Signals & Bryan Boreh... May 1, 2023
Making Go More Efficient (Go Time Live!) December 7, 2022
PromCon EU 2022: Best Practices and Pitfalls of Instrumenting Your Cloud-Nati... November 24, 2022
Achieving Zero-Instrumentation Monitoring with eBPF - Kemal Akkoyun, Polar Si... October 28, 2022

Pinned Loading

  1. prometheus/prometheus prometheus/prometheus Public

    The Prometheus monitoring system and time series database.

    Go 55.5k 9.1k

  2. prometheus/client_golang prometheus/client_golang Public

    Prometheus instrumentation library for Go applications

    Go 5.4k 1.2k

  3. thanos-io/thanos thanos-io/thanos Public

    Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.

    Go 13.1k 2.1k

  4. parca-dev/parca-agent parca-dev/parca-agent Public

    eBPF based always-on profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!

    Go 546 67

  5. parca-dev/parca parca-dev/parca Public

    Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.

    TypeScript 4.1k 213

  6. py-perf py-perf Public

    A Proof-of-concept, low-overhead, sampling CPU profiler for Python implemented using eBPF.

    Rust 13 1