Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 247

AWS Efficiency Azure Cloud 247

Abhishek Tiwari

JULY 22, 2023

These policies encompass a wide range of concerns, including security best practices, data protection measures, industry regulations, privacy laws, accessibility requirements, and internal organizational policies. Policy as code frameworks allow organizations to continuously monitor compliance throughout the development lifecycle.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?

Azure 188

Azure Monitoring Virtualization Metrics 188

Tasktop

JANUARY 9, 2020

Ensuring Tools and Practices are Being Adopted. Global enterprises continue to invest heavily in tooling and best practices. Cross-tool data can help to monitor activities that lead to tangible business outcomes, such as product quality. But how do you know if teams are really adopting them? Tangible Business Outcomes .

Software 59

Software Software Metrics Database 59

Dynatrace

NOVEMBER 20, 2023

Why this deterministic AI approach is critical to business success – blog Today’s organizations need to go beyond a traditional, correlation-driven approach to identify the underlying causes and effects of an event or behavior and drive better DevOps automation. Enter causal AI.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

O'Reilly

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Can’t we just fold it into existing DevOps best practices? How can you start applying the stack in practice today?

DevOps 140

DevOps Software Engineering Infrastructure Open Source 140

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. The architecture is optimized for continuous integration and continuous deployment (CI/CD) — processes that define operating principles, development best practices, and rapid delivery of reliable code.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. The architecture is optimized for continuous integration and continuous deployment (CI/CD) — processes that define operating principles, development best practices, and rapid delivery of reliable code.

Architecture 244

Architecture Software Software Development 244

Dynatrace

JUNE 15, 2021

The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. There are several ways Dynatrace monitors and alerts on the impact of service disruption. Ready to learn more? Then read on! Fact #1: AWS EC2 outage properly documented.

AWS 190

AWS Traffic Architecture Azure 190

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. While microservices vs. monolithic architecture is a common debate, organizations have other considerations, like service-oriented architecture (SOA), tools, monitoring solutions, and potential migration issues.

Architecture 201

Architecture Serverless Azure Programming 201

Dynatrace

JULY 9, 2020

Gone are the days for Christian manually looking at dashboards and metrics after a new build got deployed into a testing or acceptance environment: Integrating Keptn into your existing DevOps tools such as GitLab is just a matter of an API call. Automate Performance aka Performance as a Self-Service: Watch SRE-Driven Performance Engineering.

Cloud 188

Cloud DevOps Azure Architecture 188

IO River

NOVEMBER 2, 2023

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A So, What Exactly is Terraform?‍Terraform

Open Source 52

Open Source DevOps AWS Azure 52

IO River

NOVEMBER 2, 2023

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A Terraform is a revolution in the way we handle infrastructure.

Open Source 40

Open Source DevOps AWS Azure 40

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. Any testing that’s done without getting insights with an observability platform or monitoring solution ends up consuming too much time to analyze problems. Dynatrace news. I, Andreas Grabner, helped to bring the blog to life!

Testing 218

Testing Open Source Metrics Infrastructure 218

Dynatrace

MAY 28, 2020

Now, while we’ve been pushing these concepts in Keptn we haven’t explained well enough how to level-up your existing load testing scripts for better SLI monitoring and how to integrate them with Dynatrace in order to reap all the benefits of SLI-based Performance Analysis. A key concept in monitoring is proper tagging.

Engineering 192

Engineering Performance Metrics Best Practices 192

Dynatrace

NOVEMBER 25, 2019

In the last several years, I’ve led many sessions on DevOps, NoOps, Continuous Delivery, Continuous Performance, Shift-Left, Self-Healing, and GitOps. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance. Democratizing data – monitoring-as-a-self-service for biz, dev and ops.

DevOps 38

DevOps Software Software Performance 38