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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52
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Bringing AV1 Streaming to Netflix Members’ TVs

The Netflix TechBlog

These streams use the same production encoding recipes so they are representative of production streams, but have the addition of extreme cases to stress test the decoder. The Client and UI Engineering team built a certification test with these streams to analyze both the device logs as well as the pictures rendered on the screen.

Media 246
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What is chaos engineering?

Dynatrace

Testing for mishaps you can predict is essential. Chaos engineering is a method of testing distributed software that deliberately introduces failure and faulty scenarios to verify its resilience in the face of random disruptions. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior.

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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

We have seen users who joined our preview program “speed up their release validation by 90%”. Many of our users are performance engineers using Cloud Automation Quality Gates to automate the analysis of their performance and load tests – saving hours of analysis time for each test they run.

DevOps 244
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How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

Establishing clear, consistent, and effective quality gates that are automatically validated at each phase of the delivery pipeline is essential for improving software quality and speeding up delivery. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

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Mastering MongoDB® Timeout Settings

Scalegrid

Having too high of a value here could lead to your application not performing optimally because you are having the system wastefully wait for an unsuccessful attempt at establishing contact again and again which is why testing different values until arriving at one suitable for what your app requires is strongly suggested. </p>

Java 130
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Part 1: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

Automating lifecycle orchestration including monitoring, remediation, and testing across the entire software development lifecycle (SDLC). Providing standardized self-service pipeline templates, best practices, and scalable automation for monitoring, testing, and SLO validation. . #2 Confidence: . Eliminating toil through automation?

Software 246