Remove Profilers
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Low Overhead Continuous Contextual Production Profiling

DZone

Moreover, the process of collecting these profiles introduces overhead during application runtime and necessitates the storage and visualization of significantly large datasets. This article explores the concept of low overhead high-frequency profilers, which offer a solution to these challenges.

Latency 246
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Optimization of I/O Workloads by Profiling in Python

DZone

Profiling is a crucial step in this process as it helps identify the parts of the code that are most resource-intensive. Here's a step-by-step guide to optimizing I/O workloads by profiling in Python: Identify the I/O Workloads Comprehending the type of your I/O workloads is essential as a first step.

Network 177
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Unleash Peak Performance in Java Applications: Overview of Profile-Guided Optimization (PGO)

DZone

Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs. By harnessing runtime profiling data, PGO empowers developers to fine-tune their code and apply optimizations that align with their application's real-world usage patterns.

Java 177
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Troubleshooting Memory Leaks With Heap Profilers

DZone

Heap profilers are useful tools to solve such problems. This article introduces how to use heap profilers, and how widely-used heap profilers, such as Go heap profiler, gperftools, jemalloc and Bytehound, are designed and implemented. This is a typical memory leak issue that is usually difficult to predict and identify.

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Monitoring and Profiling Your Spring Boot Application

DZone

Monitor and profile your Spring Boot application! You may also like: Monitoring Using Spring Boot 2.0, Prometheus, and Grafana (Part 1 — REST API). Monitoring is very essential for modern applications, modern applications are highly distributed in nature and have different dependencies like database, service, caching and many more.

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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

In this blog post, we’ll review how to run Linux profilers such as perf and produce flame graphs on Kubernetes environments. They can be generated with any OS profiler that contains stack traces such as perf, eBPF, and SystemTap. Under the hood, the tool launches a privileged pod on the same worker node as the pod to profile.

Code 106
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Profiling React.js Performance

Addy Osmani

This guide looks at measuring React component render performance with the React Profiler API, measuring interactions with React's new experimental scheduler and measuring custom metrics using the User Timing API.