Dynatrace

SEPTEMBER 4, 2020

“This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates.

DevOps 242

DevOps Metrics Innovation Azure 242

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

APRIL 30, 2019

A single indicator is defined as a query against a data source such as a monitoring, testing, security or code quality tool. On the left you see the Pitometer spec file with the list of indicator definitions as well as the total scoring objective. Queries the results through the defined data sources (Prometheus & Dynatrace).

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

JULY 9, 2020

From of our learnings on how we integrated Dynatrace into our DevOps toolchain , we advise our customers to follow our best practices around integrating delivery tools with Dynatrace, enforcing Dynatrace-based quality gates, implementing monitoring as code or automate remediation based on Dynatrace problems. Monitoring Configuration as Code.

Cloud 179

Cloud DevOps Azure Architecture 179

Dynatrace

MAY 28, 2020

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. Keptn uses SLO definitions to automatically configure Dynatrace or Prometheus alerting rules. A key concept in monitoring is proper tagging.

Engineering 185

Engineering Performance Metrics Best Practices 185

The Symphonia

MAY 22, 2018

Also there’s been a lot of open source updates, including from Amazon and Microsoft. But I’ve already done that elsewhere, with John, so I left it with adding a link to our definition. I think there’s definitely a place for both models for now, as I describe. It’s a brave new world we’re living in.

Serverless 40

Serverless Architecture Lambda Azure 40

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). Open source models are a large and diverse group.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

O'Reilly

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Software Development Layers.

DevOps 140

DevOps Software Engineering Infrastructure Open Source 140