--- title: Profiling Without Pain: Always-On Performance for the... description: A conference talk walkthrough of diagnosing JVM application performance issues using the full observability stack: metrics, traces, and continuous profiling.... canonical: https://daily.dev/posts/profiling-without-pain-always-on-performance-for-the-jvm-by-scott-gerring-f8kvgmcpz twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Profiling Without Pain: Always-On Performance for the JVM by Scott Gerring | daily.dev og:description: A conference talk walkthrough of diagnosing JVM application performance issues using the full observability stack: metrics, traces, and continuous profiling.... og:url: https://daily.dev/posts/profiling-without-pain-always-on-performance-for-the-jvm-by-scott-gerring-f8kvgmcpz og:image: https://api.daily.dev/og/posts/F8kVgMCpz.png og:image:alt: Profiling Without Pain: Always-On Performance for the JVM by Scott Gerring og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Profiling Without Pain: Always-On Performance for the JVM by Scott Gerring **[Devoxx](https://daily.dev/sources/devoxx)** · 39 min read · 0 upvotes · 0 comments ## Summary A conference talk walkthrough of diagnosing JVM application performance issues using the full observability stack: metrics, traces, and continuous profiling. Starting with a feature flag service suffering from memory pressure, N+1 database queries, excessive compression, recursive algorithm inefficiency, and lock contention, the talk demonstrates how each issue was found and fixed. Java Flight Recorder (JFR), async-profiler, and Pyroscope are covered in depth, including the difference between CPU-time and wall-clock sampling strategies, flame graph interpretation, and how to correlate profiles with OpenTelemetry traces for production diagnosis. Practical takeaways include low-overhead always-on profiling, request-level correlation, and open-source tooling options. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [The Power of JDK Flight Recorder: Efficient Profiling and Troubleshooting for Java Applications](https://daily.dev/posts/the-power-of-jdk-flight-recorder-efficient-profiling-and-troubleshooting-for-java-applications-q2mdvoxx7) · Inside Java · 4 upvotes · 0 comments --- Tags: [#jvm](https://daily.dev/tags/jvm) [View this post on daily.dev](https://daily.dev/posts/profiling-without-pain-always-on-performance-for-the-jvm-by-scott-gerring-f8kvgmcpz) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Profiling Without Pain: Always-On Performance for the JVM by Scott Gerring","url":"https://daily.dev/posts/profiling-without-pain-always-on-performance-for-the-jvm-by-scott-gerring-f8kvgmcpz","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/profiling-without-pain-always-on-performance-for-the-jvm-by-scott-gerring-f8kvgmcpz"},"datePublished":"2026-04-01T08:25:12.672Z","dateModified":"2026-04-01T08:25:39.247Z","description":"A conference talk walkthrough of diagnosing JVM application performance issues using the full observability stack: metrics, traces, and continuous profiling....","image":"https://i.ytimg.com/vi/WvQ8FouKTZI/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/WvQ8FouKTZI/sddefault.jpg","isAccessibleForFree":true,"articleSection":"Devoxx","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Devoxx","logo":"https://media.daily.dev/image/upload/s--6vG797wn--/f_auto,q_auto/v1773648800/logos/devoxx?_a=BAMAMiiu0","url":"https://daily.dev/sources/devoxx"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/profiling-without-pain-always-on-performance-for-the-jvm-by-scott-gerring-f8kvgmcpz","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"jvm","timeRequired":"PT39M","video":{"@type":"VideoObject","name":"Profiling Without Pain: Always-On Performance for the JVM by Scott Gerring","description":"A conference talk walkthrough of diagnosing JVM application performance issues using the full observability stack: metrics, traces, and continuous profiling....","thumbnailUrl":"https://i.ytimg.com/vi/WvQ8FouKTZI/sddefault.jpg","uploadDate":"2026-04-01T08:25:12.672Z","duration":"PT39M","url":"https://api.daily.dev/r/F8kVgMCpz","embedUrl":"https://www.youtube.com/embed/WvQ8FouKTZI"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Devoxx","item":"https://daily.dev/sources/devoxx"},{"@type":"ListItem","position":3,"name":"Profiling Without Pain: Always-On Performance for the JVM by Scott Gerring"}]} ```