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The Three Types of Performance Testing

CSS Wizardry

A lot of companies—even if they are aware that performance is key to their business—are often unsure of how, when, or where performance testing sits within their development lifecycle. To make things worse, they’re also usually unsure whose responsibility performance measuring and monitoring is.

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The Analytics That Matter

CSS - Tricks

Performance metrics are a big one. When you’re doing performance testing, much of it is what you would call synthetic testing. There are other analytics we can gather on a site, like usage analytics. Those are real user analytics, but it’s very generic analytic information.

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Switch to New Application Performance Testing

Apica

With this shift in applications everywhere enterprises need to do their due diligence in performance testing complex modern applications at scale, often and at a lower cost to stay competitive. With this growth and added complexity, how are your legacy performance testing solutions keeping up?

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HCI Performance testing made easy (Part 3)

n0derunner

It is the shared storage that often causes performance issues for data bases which are otherwise separated across nodes. A particular problem occurs when a reporting / analytical workload shares storage with a transactional workload. The post HCI Performance testing made easy (Part 3) appeared first on n0derunner.

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Follower Clusters – 3 Major Use Cases for Syncing SQL & NoSQL Deployments

Scalegrid

If your application passes on the test dataset, it is definitely fit to deploy in production! Data Analytics. If you have worked as a DBA, you’ve probably had a conversation with your team about system performance “mysteriously” slowing down at certain times. The best part? So, there is zero impact on your production cluster.

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Release readiness through AI-based white box resiliency testing with JMeter and Dynatrace

Dynatrace

Our solution to modernize this legacy approach is an approach we call white box testing. In white-box testing, we combine open-source load testing tools such as JMeter with Dynatrace’s observability and analytics capabilities. Automation : Single load test executions can be repeated and tracked.

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

Cluster and container Log Analytics. 3 Log Analytics. If you want to learn more about log analytics, check out my YouTube tutorial on Log Analytics and look out for our product team’s blog on log analytics. 2: Automate Quality aka “Performance as a Self-Service”. Full-stack observability.

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