Dynatrace

NOVEMBER 2, 2023

Digital transformation has significantly increased the organizational demand to innovate faster. But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. Automation is a crucial aspect of achieving DevOps excellence.

DevOps 193

DevOps Benchmarking Azure Innovation 193

Dynatrace

JULY 12, 2022

After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We IT automation speeds code development. Ultimately, better infrastructure management enables organizations like Park ‘N Fly to innovate through software.

Innovation 208

Innovation Infrastructure DevOps Azure 208

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. And it’s not just the release validation.

DevOps 241

DevOps Open Source Cloud Azure 241

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system.

Cloud 211

Cloud DevOps Azure Virtualization 211

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). According to Gardner, teams gradually deliver software to user groups with progressive delivery.

Engineering 172

Engineering Development Infrastructure Cloud 172

Dynatrace

FEBRUARY 28, 2024

VAPO is available in both Microsoft Azure and AWS. In the development environment, you see exactly where in the pipeline security issues exist, and you can address them right there, so it speeds up development,” Fuqua said. It’s easy to produce a container that we can rapidly test, then shift to pre-production and production.

Monitoring 173

Monitoring Artificial Intelligence Performance Healthcare 173

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC).

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198