The 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...
Our new and faster profiler dashboard | Polar Signals
Learn more about our new and improved profiler dashboard.
polarsignals.com
What if loading a data lake was as simple as writing a SQL query? In our latest engineering deep dive, we explain how we explored loading Great Lakes tables using DataFusion SQL queries in an effort to increase performance. 🚀 🧊 Read the full post: www.polarsignals.com/blog/posts/2...
Loading Lakes | Polar Signals
Optimizing loading Great Lake tables with DataFusion
polarsignals.com
🚀 Introducing the Polar Signals VS Code extension! See CPU time, memory allocations, and more as inline annotations, right next to your code. Works with Polar Signals Cloud and self-hosted Parca. www.polarsignals.com/blog/posts/2...
Do more with less. | Polar Signals
Polar Signals Cloud is an always-on, zero-instrumentation continuous profiling for CPU, GPU, and Memory that helps improve performance, understand incidents, and lower infrastructure costs.
polarsignals.com
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
Next.js 16 + turbopack took our frontend builds from 5-7m down to just over 2m. This means faster speed of iteration in development and faster CI. Performance is UX. Performance is DX. Performance is a feature.
Are USDTs the key to unlock the future of low level tracing? Maybe! Read all about how we implemented them and how we plan on using them to breath new life into observability! www.polarsignals.com/blog/posts/2...
USDT Probes: A Deep Dive
How we added USDT Probe support to Parca Agent
polarsignals.com
We completed a major project to switch our storage file format from Parquet to Vortex 🌪️ resulting in 70% average query performance improvement across the board 🚀 Learn more about how rethinking interface-imposed limitations unlocked these gains in our latest blog post 👇
We recently made some performance improvements to our Flame Graph by implementing backend pre-computation and viewport culling. Read more in our latest blog post: www.polarsignals.com/blog/posts/2...
Parallel Flame Graph Rendering
How we improved our flame graph rendering by moving computation to the backend.
polarsignals.com
German strings 🇩🇪 have become very popular in the database world. However, they're not a silver bullet. Read more in our latest blog post:
Das Problem mit German Strings
And why I don't want my database to choose the best encoding for me (yet)
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
