Gitar’s Post

If you write an application in GO, you have to read this post PGO (Profile-Guided Optimization) automatically boosts application performance by using runtime profiling data to guide compiler optimizations. Imagine a 10% - 30% reduction in end-user latency and cost of capacity, out of the box.

Even with modern garbage collectors memory leaks still happen, resulting in degraded application performance, system instability, or application crashes. Learn how engineers at all levels can use Datadog Continuous Profiler to detect and fix memory leaks. #codeprofiling #observability #apm #memoryleak #performanceengineering

Check out an example of how Lighrun can be used to debug essential parts of a Spring application, such as request mappings and caching:

Check out an example of how Lighrun can be used to debug essential parts of a Spring application, such as request mappings and caching:

Unowned references prevent retain cycles in Swift. They boost runtime performance, but you risk crashing if you get them wrong. How do they work? What exactly is this performance gain? Should we use them at all?

Check out an example of how Lighrun can be used to debug essential parts of a Spring application, such as request mappings and caching:

Check out an example of how Lighrun can be used to debug essential parts of a Spring application, such as request mappings and caching:

Check out an example of how Lighrun can be used to debug essential parts of a Spring application, such as request mappings and caching:

Check out an example of how Lighrun can be used to debug essential parts of a Spring application, such as request mappings and caching:

Check out an example of how Lighrun can be used to debug essential parts of a Spring application, such as request mappings and caching: