Introducing the Polar Signals VS Code Extension
See CPU time, memory allocations, and other profiling metrics as inline annotations directly in your source code.
ProfilingVS Code+2
Author:
Yomi Eluwande
All posts
Posts tagged 'Parca'
Comparing Profiles is even more helpful now!
We have shipped Relative Comparisons
PprofProfiling+2
Author:
Matthias Loibl
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.
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.
Parca now also in Grafana Core
Parca in Grafana without having to install a plugin!
GrafanaParca+2
Authors:
Matthias L, Frederic B.
Parca Plugin for Grafana!
You asked for it, we delivered.
PprofParca+1
Authors:
Manoj V, Matthias L.
Exploring Go's Profile-Guided Optimizations
Making code faster without modifying it using Profile-Guided Optimizations.
GoContinuous-Profiling+3
Author:
Frederic Branczyk
Optimizing Your Programs with Continuous Profiling
An example of using continuous profiling to inform code improvements.
FrostDBContinuous-Profiling+1
Author:
Thor Hansen
Introduction to Parca - Part 1
Parca is our open source, always-on eBPF-based continuous profiler. In this article, we'll learn some of the concepts behind Parca and use it to profile our system.
ParcaeBPF+3
Author:
Sumera Priyadarsini
Naming is hard: ArcticDB is now FrostDB (+updates!)
We made a mistake in naming our open-source in-memory columnar database.
GolangApache Arrow+3
Author:
Frederic Branczyk
Introducing arcticDB: A database for Observability
Continuous profiling needed a columnar database, so we built it.
golangapache arrow+3
Author:
Frederic Branczyk
Profiling Next.js apps with Parca
We will learn how to profile your Next.js/Node.js apps with Parca and how it helps you to go back in time and identify the root cause for the irregular bottlenecks in your application's performance.
JavascriptNextjs+2
Author:
Manoj Vivek
Featured posts
Autonomous Optimization with Claude Code
Optimize your infrastructure autonomously every day with Claude Code and Polar Signals
AIClaude Code+1
OpenTelemetry Profiling goes Alpha
How to use it with Polar Signals & Parca
OpenTelemetryProfiling+2
Continuous NVIDIA CUDA Profiling In Production
Low-Overhead Profiling of GPUs with USDT Probes and eBPF
GPUProfiling
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