Dynatrace

NOVEMBER 9, 2023

Service-level objectives (SLOs) are often used to monitor business-critical services and applications for customers. Essentially, SLOs track a selected Service-Level Indicator (SLI) and continuously evaluate its behavior over a given timeframe against a fixed threshold.

Efficiency 273

Efficiency Monitoring Best Practices Open Source 273

Dynatrace

MAY 28, 2020

Dynatrace news. In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. You may have seen over the past few months we have been extensively promoting Service Level Indicators (SLIs) and Service Level Objectives (SLOs) as part of our Open Source project Keptn.

Engineering 191

Engineering Performance Metrics Best Practices 191

Dynatrace

SEPTEMBER 14, 2022

Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? And so, getting simple visualization use cases done efficiently becomes far from the norm. If you haven’t done so already, switch to the Data explorer! What’s next.

Metrics 228

Metrics Analytics Monitoring Efficiency 228

Dynatrace

OCTOBER 21, 2020

Dynatrace news. Every other week Dynatrace ships a new version of our Software Intelligence Platform into production. It’s done through what I would refer to as “Progressive Delivery at Cloud Scale”. The new version that comes out of our hardening stage gets rolled out to a small initial set of Dynatrace clusters.

Code 242

Code Cloud Engineering Java 242

Dynatrace

DECEMBER 4, 2019

Dynatrace news. Christian Heckelmann , Senior Systems Engineer at ERT, inspired me to write this blog when he brought up this topic in a conversation a couple of weeks back. Keptn Quality Gate: User calls the Keptn Quality Gate API to validate SLOs. high failure rate or unavailability.

Monitoring 146

Monitoring Best Practices Testing Network 146

Dynatrace

JULY 9, 2020

Dynatrace news. We have talked about these four steps in several blog posts , conference talks, YouTube tutorials and also provide an Autonomous Cloud Service Engagement to help your improve MTTI and MTTR. Powerful configuration as code approach with SLIs & SLOs. Comparison across builds.

Cloud 187

Cloud DevOps Azure Architecture 187

Dynatrace

SEPTEMBER 8, 2020

Dynatrace news. Also, a defined load model can be generated and therefore, experiments can be used to right size a system. But it is only usable in a cloud native environment, right? To make others aware of the things you done and how you improved your system, you should share your results with your team.

Engineering 140

Engineering Cloud Monitoring Testing 140