Iteratively explore your flame graphs with the MCP sandwich tool
Don't bloat your LLM's context. Let it iteratively explore the parts of your flame graphs that actually matter.
Performance AnalysisPerformance+3
Author:
Matthias Loibl
All posts
Posts tagged 'Performance'
Optimizing SLO Performance at Scale: How We Solved Pyrra’s Query Performance on Thanos
Learn how we optimized Pyrra’s SLO monitoring to handle high-cardinality metrics at scale, reducing cross-zone traffic and query times while maintaining 99% accuracy.
PerformanceObservability+3
Author:
Matthias Loibl
The MCP for performance engineering
Introducing Remote MCP Support in Polar Signals Cloud
Performance AnalysisPerformance+2
Author:
Matthias Loibl
turbopuffer: Consistently High Performance at Scale
Case Study: How turbopuffer leverages Polar Signals for Continuous Profiling
Case StudyContinuous-Profiling+2
Author:
Kanika Sharma
Unlocking Efficient Memory Profiling and Faster Debugging
"High tail latency for one of our customers, was diagnosed immediately by seeing a large On-CPU time span"
Case StudyContinuous-Profiling+3
Author:
Kanika Sharma
Doubling Throughput with Continuous Profiling and Optimization
“68.37% of CPU [...] with a one-line code change [...] went down to 31.82%”
Case StudyContinuous-Profiling+3
Author:
Kanika Sharma
A Walk with LuaJIT
How we scrape callstack information from the LuaJIT engine for profiling
eBPFInterpreter+4
Author:
Tommy Reilly
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
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
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
Introducing Parca - Prometheus but for profiles
P.S. We got funded!
PprofGo+5
Author:
Frederic Branczyk
DIY pprof profiles using Go
Building pprof profiles from scratch using Go
PprofGo+1
Author:
Matthias Loibl
Demystifying Pprof Labels with Go
Learn how to demystify Pprof Labels using Go
PprofGo+1
Author:
Frederic Branczyk
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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