Alex Podelko

JUNE 12, 2019

My post Good Times for Load Testing was published in 2014. 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. Well, yes and no. Commercial Tools [Crisis?].

Testing 243

Testing Open Source Testing Tools Performance Testing 243

Dynatrace

JULY 16, 2021

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. You run load tests monitored with Dynatrace and you want to automatically validate to eliminate the manual analysis effort.

DevOps 244

DevOps Open Source Cloud Azure 244

Dynatrace

SEPTEMBER 4, 2020

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 246

DevOps Metrics Innovation Azure 246

Dynatrace

JULY 9, 2020

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 187

Cloud DevOps Azure Architecture 187

Dynatrace

NOVEMBER 25, 2019

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 38

DevOps Software Software Best Practices 38

High Scalability

NOVEMBER 25, 2019

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.

Architecture 52

Architecture Cache Azure Storage 52