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Improving INP and FID with production profiling

On March 12 Google began promoting INP (Interaction to Next Paint) into a Core Web Vital metric in an effort to push performance beyond page loads. This means your website or application’s SEO ranking may be impacted if users do not have smooth interactions on the site or app. While this change is a net positive for users, finding the root cause of these reported slow interactions can be tricky for developers.

How to use PGO and Grafana Pyroscope to optimize Go applications

Profile-guided optimization (PGO) is a compiler feature that uses runtime profiling data to optimize code. Now fully integrated in Go 1.21+, PGO is a powerful tool to boost application performance — and with Grafana Pyroscope, our open source continuous profiling database, you can significantly magnify the value of PGO. In this post, we’ll explore what PGO is, how the Pyroscope team has used it internally to improve performance, and how you can use PGO to make your own programs faster.

Universal Profiling: Detecting CO2 and energy efficiency

A while ago, we posted a blog that detailed how we imported over 4 billion chess games with speed using Python and optimized the code leveraging our Universal ProfilingTM. This was based on Elastic Stack running on version 8.9. We are now on 8.12, and it is time to do a second part that shows how easy it is to observe compiled languages and how Elastic®’s Universal Profiling can help you determine the benefit of a rewrite, both from a cost and environmental friendliness angle.

Browser Profiling Learnings from Sentry.io

Since enabling browser profiling on our Sentry.io dashboard a month ago, we have collected over 2M profiles and learned a lot about how our users experience our dashboard. The profiles collected gave us insight into how our dashboard performs in production and surfaced some issues causing UI jank. In this post, we will look at an example of an issue we discovered using Profiling.

An Introduction to Profiling in Node.js

CPU-bound tasks can grind your Node.js applications to a standstill, frustrating users and driving them away. You must master the art of profiling your application to pinpoint bottlenecks, and implement effective strategies to resolve any issues. In this guide, we'll explore various techniques to help you identify and fix the root causes of your Node.js performance issues. Let's get started!

Continuous profiling: The key to more efficient and cost-effective applications

Recently, Elastic Universal ProfilingTM became generally available. It is the part of our Observability solution that allows users to do whole system, continuous profiling in production environments. If you're not familiar with continuous profiling, you are probably wondering what Universal Profiling is and why you should care. That's what we will address in this post.

Understanding Request Latency with Profiling

It can be hard to figure out why response times are high in Java applications. In my experience, when engineers investigate this type of issue, they typically use one of two methods: They either apply a process of elimination to find a recent commit that might have caused the problem, or they use profiles of the system to look for the cause of value changes in relevant metrics.

Grafana Pyroscope 1.0 release: continuous profiling for a modern open source observability stack

When we launched Pyroscope in 2021, we had one clear goal: Give developers a powerful open source continuous profiling tool for collecting, storing, and analyzing profiling data. Grafana Labs had a similar goal when they released Grafana Phlare, a horizontally scalable, highly available open source profiling solution inspired by databases like Grafana Loki, Grafana Mimir, and Grafana Tempo.

Sentry Profiling now supports Browser Javascript, React Native, and Ruby

Profiling is an essential component of a developer’s toolkit for identifying and addressing the thorniest performance bottlenecks. Whether you’re a backend developer looking to cut down cloud infrastructure costs, a frontend developer trying to speed up page load times, or a mobile app developer working to ensure smooth scrolling for users, Sentry Profiling pinpoints hot code paths in your production environment, so you can identify and optimize the slowest parts of your code.

Five Tools for Profiling Rails Apps

A Rails profiler is a tool used to analyze the performance of your Ruby on Rails application. It helps identify bottlenecks, memory leaks, and other performance issues, allowing you to optimize your code and improve overall web application speed. Profilers are essential in ensuring your web application runs smoothly and delivers a better user experience.