# Supercharging Redpanda Streaming with profile-guided optimization

DevFeed: [Supercharging Redpanda Streaming with profile-guided optimization](<https://devfeed.tech/articles/supercharging-redpanda-streaming-with-profile-guided-optimization-12777.md>)

Original publisher: [Read original article](<https://www.redpanda.com/blog/supercharging-streaming-profile-guided-optimization>)

Author: Stephan Dollberg

Published: 2026-04-02T00:00:00Z

Content type: article

Language: en

Sources: [Redpanda](<https://devfeed.tech/sources/redpanda.md>)

Topics: [Optimization](<https://devfeed.tech/topics/optimization.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Compiler](<https://devfeed.tech/topics/compiler.md>), [LLVM](<https://devfeed.tech/topics/llvm.md>), [Instrumentation](<https://devfeed.tech/topics/instrumentation.md>), [build performance](<https://devfeed.tech/topics/build-performance.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>)

Tags: [benchmark](<https://devfeed.tech/tags/benchmark.md>), [bugs](<https://devfeed.tech/tags/bugs.md>), [compilation](<https://devfeed.tech/tags/compilation.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [instrumentation](<https://devfeed.tech/tags/instrumentation.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llvm](<https://devfeed.tech/tags/llvm.md>), [meta](<https://devfeed.tech/tags/meta.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [profile](<https://devfeed.tech/tags/profile.md>), [profiling](<https://devfeed.tech/tags/profiling.md>)

## AI overview

This article describes how Redpanda optimized its binary for Redpanda Streaming 26.1 using compiler-based profile-guided optimization (PGO) and LLVM BOLT. It explains how profiling data guides optimization decisions, compares the two approaches, and reports lower latency and CPU usage for intensive workloads.

## Source excerpt

A behind-the-scenes look into how we optimized performance and cut latency in Redpanda 26.1 with profile-guided optimization.