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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Last call! Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Look Inside
DZone's Guide to

Performance: Testing and Tuning

The entire dynamic of development and operations teams has shifted with the emergence of machine learning in performance testing and the prioritization of performance early in the SDLC. This Guide will explore common performance testing mistakes and how to fix them, help you discover the best tools to use when monitoring microservices, and look into the history of performance engineering.

Free 38-page ebook
Download
14.1K

Table of Contents

3
Executive Summary
4
Key Research Findings
6
The 6 Most Common Performance Testing Mistakes, and How to Fix Them
9
Developing With Performance in Mind
14
Monitoring Microservices With Spring Cloud Sleuth, Elastic Stack, and Zipkin
17
Diving Deeper Into Performance
18
Infographic: A+ APM
22
How to Avoid Finger-Pointing and Uncover the True Cause of Incidents
25
A Short History of Performance Engineering
30
Executive Insights on the State of Performance
32
Performance Solutions Directory
37
Glossary
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Help companies use data and technology to improve UX/CX while reducing costs.

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