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A guide to event-driven SRE-inspired DevOps

Dynatrace

As I personally helped drive the latest innovation of the Dynatrace SLI Provider , let me show you how easy we made it for Dynatrace users to define SLIs & SLOs: Visual SLIs & SLOs through Dynatrace dashboards. For that Keptn already offers integrations with JMeter and Neoload with other testing tool integrations in the works.

DevOps 326
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Are Times still Good for Load Testing?

Alex Podelko

It is difficult to believe that 5 years passed… Are times still good for load testing? If we speak about commercial load testing tools, we see rather a shrinking market and not too much innovation recently. Microfocus acquired both LoadRunner from HP and Silk Performer (as a part of Borland). Well, yes and no.

Testing 243
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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

Don’t just take my word for it, hear from Mike Kobush , Performance Engineer at NAIC, who gave us a tour of his performance test automation using Dynatrace Cloud Automation. The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project.

DevOps 246
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Keptn – The Autonomous Cloud control plane for Dynatrace explained

Dynatrace

Besides our early adopter success stories, from avodag AG or amasol , we have seen lots of great innovation from Christian Heckelmann at eResearchTechnology (ERT), who integrated Keptn Quality Gates into their GitLab Pipeline which automates up to 90% of otherwise manual build approval tasks.

Cloud 261
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Getting ready! A taste of what’s to come at Perform 2020’s “Release Better Software Faster” track

Dynatrace

Let’s take a look at two key indicators from our 2018 Dynatrace ACM Survey: MTTI (Mean Time to Innovate): How long does it take to push a new feature that is fully tested, ready to go to production, until end-users receive it? We’ll go over how to integrate Dynatrace with your load & performance testing tools (e.g.

DevOps 47
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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. Version6: files metadata in MySQL, files stored in EOS/GCS/S3/Azure served via HTTP, search in Elasticsearch.