Remove Azure Remove Code Remove DevOps Remove Metrics
article thumbnail

DevOps automation: We’re only halfway there

Dynatrace

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. Automation is a crucial aspect of achieving DevOps excellence.

DevOps 201
article thumbnail

Why you need Dynatrace on Azure Workloads

Dynatrace

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. Application Insights – Collects performance metrics of the application code. Available as an agent installer).

Azure 136
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Enhancing ITIL Incident Management and the Customer Experience: Integrating ServiceNow with Atlassian Jira and Microsoft Azure DevOps

Tasktop

Tasktop integrated the organization’s ITSM tool— ServiceNow —to its Agile development tools— Atlassian Jira and Microsoft Azure DevOps —to optimize its ability to resolve users’ problems faster across all systems. Some teams use Jira, and others use Azure DevOps depending on the product value stream.

Azure 52
article thumbnail

Cloud Automation workshop roadshow: Kick-off

Dynatrace

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 213
article thumbnail

Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Collecting data requires massive and ongoing configuration efforts.

Cloud 258
article thumbnail

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

Dynatrace

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. GitOps: Cloud automation as code. Expand to more use cases.

DevOps 244
article thumbnail

Part 1: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Successful DevOps teams have figured out that “delivering more with less” requires careful management of release risks and automation to scale. Example #1 – Deploy application code to Kubernetes.

Software 246