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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. If I missed something interesting, please let me know.]

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Reinventing Performance Testing: Agile

Alex Podelko

I am looking forward to share my thoughts on ‘Reinventing Performance Testing’ at the imPACt performance and capacity conference by CMG held on November 7-10, 2016 in La Jolla, CA. While it was always recommended to start performance testing earlier, it was usually rather few activities you can do before the system is ready.

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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. Several tools can be used to collect metrics in load/performance testing.

Speed 213
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Performance Testing – Testing for Speed, Stability, and Scalability

Testlodge

These are performance issues, and today, we’re going to talk about how these issues can be identified early on with performance testing. What Is Performance testing? In software, performance testing is the process of determining how a system responds under a particular workload or task.

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8 Functional Testing Types Explained With Detail

Enprowess

8 Functional Testing types. Quick Summary: In the most straightforward and simple words, functional testing tests various aspects of an application, website, or system to guarantee that it is correctly doing what it should be. What is Functional testing? What to test in functional testing?

Testing 52
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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. As chaos engineers grow confident in their testing, they change more variables and broaden the scope of the disaster. Unclear starting system state.