Application Performance engineering debt could live a long time without noticed and cause a significant overhead in developing new features, performance and the cost of operation.
Bringing what we've learned to our next generation database.
What we learned from building a database
Attending ai.engineer 2025 in San Francisco
A deep dive into the time-aware visualization that complements traditional flame graphs in performance profiling.
Exploring how well the various forms of PGO work
How we added a Markdown editor to our Sanity setup and other improvements
Why profiling data is low-risk, high-value observability
