Manoj Vivek
@manojvivek.bsky.social
Software Engineer @polarsignals.com. Also building responsively.app.
We rewrote some of our most critical UI components and the payoff in rendering performance has been tremendous! Check out the post to know more.
Polar Signals@polarsignals.com · 3w agoThe Polar Signals profiler got a major upgrade. New dashboard, and everything is faster and smoother 🚀 We can’t wait for you to try it out! Here's what's new and how we did it: www.polarsignals.com/blog/posts/2...
Less context, better answers. 🔥 The new @polarsignals.com MCP makes smaller, more effective tool calls and iterates on what's actually worth querying. www.polarsignals.com/blog/posts/2...
Iteratively explore your flame graphs with the MCP sandwich tool | Polar Signals
Don't bloat your LLM's context. Let it iteratively explore the parts of your flame graphs that actually matter.
polarsignals.com
Your Node.js profiles on @polarsignals.com just got personal!
Polar Signals@polarsignals.com · 4mo agoTired of Node.js flamecharts full of `a`, `m`, and `_0x3f2`? We just shipped source maps support for Node.js profiles in Polar Signals Cloud. Just add a plugin to your build pipeline, and your profiles show the real code. Know more: www.polarsignals.com/blog/posts/2...
Very excited for this year's #FOSDEM! Lots of talks by Polar Signals folks:
Symbolization issues don’t have to be mysterious. Polar Signals Cloud now shows exactly what’s happening with your debuginfo, right from the flamegraph frame: www.polarsignals.com/blog/posts/2...
How to check your debuginfo status in Polar Signals Cloud
A faster and easier way to troubleshoot debuginfo processing in Polar Signals Cloud.
polarsignals.com
📢 It’s a new year so we’re announcing something new which is the Sandwich view: A way to visualize a function’s callers and callees side by side for better debugging and performance work. Read more about it here: www.polarsignals.com/blog/posts/2...
Introducing the Sandwich View
A new way to visualize a function’s callers and callees side by side.
polarsignals.com
Was digging into JS source maps recently and had a lot of fun writing this post, especially the interactive bits. 🤓
Polar Signals@polarsignals.com · 9mo agoEver wondered how your browser devtools jumps from bundle.min.js:1:27698 → src/index.ts:73:16? 🧊 We unpack the internals of JS Source Maps: Base64 VLQ encoding, mapping deltas, and how your original TS code gets reconstructed from minified bundles. 🔗 www.polarsignals.com/blog/posts/2...
🚀 We're super excited to launch NVIDIA CUDA Profiling today! Check out the blog on how we made it happen! 🧊 www.polarsignals.com/blog/posts/2...
Continuous NVIDIA CUDA Profiling In Production
Low-Overhead Profiling of GPUs with USDT Probes and eBPF
polarsignals.com
We just made our Next.js builds 100% reproducible at Polar Signals! 🧊 Same code = same output, byte-by-byte every time. 🔍 Check out our practical guide: www.polarsignals.com/blog/posts/2...
Reproducible Builds with Next.js: A Practical Guide
A step-by-step guide to achieving reproducible builds with Next.js.
polarsignals.com
📔Writing our Rust database from scratch gave us a golden opportunity to implement deterministic simulation testing as a core feature. Learn about the architecture that gives us full control over DST ingredients. 🧊 www.polarsignals.com/blog/posts/2...
Deterministic Simulation Testing in Rust: A Theater Of State Machines
How we designed our database for complete control over concurrency, time, randomness, and failure injection.
polarsignals.com
⚡ Flamecharts/Iciclecharts are now available on all workloads, not just the Polar Signals GPU profiling experience! Check out the blog on what Flamecharts/Iciclecharts are and how to use them on Polar Signals! 🧊 www.polarsignals.com/blog/posts/2...
Flamecharts: The Time-Aware Sibling of Flame Graphs
A deep dive into the time-aware visualization that complements traditional flame graphs in performance profiling.
polarsignals.com
📣 New on the blog: Check out this exciting case study with @convex.dev, sharing how they tackled unexpected latency and memory regressions in production! #PerformanceMatters #ContinuousProfiling #Convex #Rust
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"
polarsignals.com
📣 Today on the blog, check out this awesome case study with @s2.dev sharing some of their successes with Polar Signals Cloud (spoiler, they're huge!) 🧊 www.polarsignals.com/blog/posts/2...
Doubling Throughput with Continuous Profiling and Optimization
“68.37% of CPU [...] with a one-line code change [...] went down to 31.82%”
polarsignals.com
If you are using AWS S3 SDK for Rust on Graviton, you should enable the 'asm' feature on the sha2 lib transitive dep explicitly. Otherwise, it will not end up using hardware acceleration. Huge CPU drop for one of our services. Identified this issue using @polarsignals.com
