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Performance Testing at MongoDB

Alex Podelko

MongoDB has the most advanced continuous performance testing I know about. MongoDB shared a lot of information on how we do performance testing and even open sourced some parts of it. Continuous performance testing is built on the top of Evergreen. 34 (2020), Performance Testing with David Daly , is another good introduction.

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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

Benefits of quality gates Quality gates provide several advantages to organizations, including the following: Optimized software performance : Quality gates assess code at different SDLC stages and ensure that only high-quality code progresses. This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness.

Speed 212
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Service level objectives: 5 SLOs to get started

Dynatrace

In today’s fast-paced digital landscape, ensuring high-quality software is crucial for organizations to thrive. Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. Fitness apps : During the pandemic, fitness apps boomed.

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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. Teams can build on these SLO examples to improve application performance and reliability. Fitness apps : During the pandemic, fitness apps boomed. or 99.99% of the time.

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Common SLO pitfalls and how to avoid them

Dynatrace

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. But there are SLO pitfalls. But there are SLO pitfalls.

DevOps 201
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What is chaos engineering?

Dynatrace

As software performance degrades or fails, the chaos engineers’ findings enable developers to add resiliency into the code, so the application remains intact in an emergency. Chaos testing enriches the organization’s intelligence about how software performs under stress and how to make it more resilient.

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Observability platform vs. observability tools

Dynatrace

With observability, teams can understand what part of a system is performing poorly and how to correct the problem. Traces provide performance data about tasks that are performed by invoking a series of services. The key is knowing what is the root cause of the performance issue. Observability platforms provide context.