Autonomous Optimization with Claude Code
Optimize your infrastructure autonomously every day with Claude Code and Polar Signals
AIClaude Code+1
Our Blog
Featured posts
Blog - page 4
All posts
New pprof.me Features: Profiling Data Comparison and Folded Stacks format support
Visualize differential Icicle graphs from two shared profiles.
PprofProfiling+1
Authors:
Frederic B, Manoj V.
The Cost of Go's Interfaces and How to Fix It
Why dynamic dispatch is necessary and how to fix it with devirtualizing and PGO.
GoGolang+5
Author:
Frederic Branczyk
Announcing the new "Views" feature on Polar Signals Cloud
Scope requests with pre-defined filters and gain precise control over your profiling data!
ProfilingView+1
Author:
Yomi Eluwande
Announcing New Features on pprof.me: Previews and User History
Preview shared profiling data and keep a history of your shared profiles!
PprofProfiling
Author:
Frederic Branczyk
Profiling Arm64 with eBPF in Parca Agent
ARMing your favourite DWARF Unwinder
eBPFParca Agent+3
Author:
Sumera Priyadarsini
Polar Signals Cloud is Generally Available
We're ready to share our product with the world!
GAGenerally Available+4
Author:
Frederic Branczyk
Profiling Python and Ruby using eBPF
Dive into the internals of profiling interpreted Python and Ruby code using eBPF
eBPFInterpreter+7
Authors:
Kemal A, Javier H. Coto
Profiling Mojo 🔥
A look at profiling Modular's Mojo language.
ProfilingeBPF+5
Author:
Frederic Branczyk
View Profiling Data within Code
A look at an exciting new feature in Polar Signals Cloud: Source View.
ProfilingContinuous-Profiling+1
Author:
Frederic Branczyk
Correctly Profiling Node.js with Zero-Instrumentation
Or: A tale of handling unexpected behaviour by the v8 runtime.
Parca AgentInterpreter+8
Authors:
Frederic B, Javier H. Coto
Polar Signals at KubeCon EU 2023
Attending KubeCon EU 2023 in Amsterdam, Netherlands.
KubeConCommunity
Author:
Kemal Akkoyun
Embeddable Profiles in pprof.me
Say goodbye to taking screenshots of flame graphs/profile data. Now you can embed the interactive profiles directly in any website.
Profile-Sharingpprof.me
Author:
Manoj Vivek
Ice and Fire: How to read icicle and flame graphs
Flame graphs and icicle graphs are a great way to visualize performance profiles. In this post, we will learn how to read and interpret them.
Continuous profilingProfiling+7
Author:
Kemal Akkoyun
Designing Your Indexes for Better Database Performance
How we improved our database query performance by 80% and the intuition behind the changes that led to this improvement
ParcaDatabases+3
Author:
Alfonso Subiotto Marqués
What’s new in Parca 0.16 and Parca Agent 0.13?
We have exciting updates in this release, including improved JIT symbolization, reliability and quality improvements, step querying, and more!
Continuous-ProfilingProfiling+8
Authors:
Javier H Coto, Yomi E.
Symbolizing Postgres Profiling Data
A journey through undocumented behavior.
PostgresSql+5
Author:
Frederic Branczyk
Polar Signals at FOSDEM 2023
Attending FOSDEM 2023 in Brussels.
FOSDEMCommunity
Author:
Frederic Branczyk
Introduction to Parca - Part 2
Parca Agent is our open source, always-on eBPF-based continuous profiler. In this article, we will learn some of the concepts behind Parca Agent and use it to profile our system.
Continuous-ProfilingBPF+6
Author:
Sumera Priyadarsini
What's new in Parca?
Looking at some exciting features that recently landed in Parca.
Continuous-ProfilingBPF+8
Author:
Frederic Branczyk
Design Decisions of a Continuous Profiler
The tradeoffs and considerations building continuous, fleet-wide profilers.
Continuous-ProfilingBPF+7
Authors:
Frederic B, Javier H Coto, Kemal A, Monica W, Thor H.
Keep up with Polar Signals
Receive new posts, product updates, and insights on performance engineering straight to your inbox.