article thumbnail

How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.

article thumbnail

Automating Success: Building a better developer experience with platform engineering

Dynatrace

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Real-time detection for fast remediation.

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

Application observability meets developer observability: Unlock a 360ยบ view of your environment

Dynatrace

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability.

article thumbnail

Nurturing Design in Your Software Engineering Culture

Strategic Tech

There are a few qualities that differentiate average from high performing software engineering organisations. In my experience, the culture is better and the results are better in orgs where engineers and architects obsess over the design of code and architecture. So we need to make it part of everything we do.

article thumbnail

Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., Previously on The Morning Paper weโ€™ve looked at the spread of machine learning through Facebook and Google and some of the lessons learned together with processes and tools to address the challenges arising. A general process. ICSE’19.

article thumbnail

How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ยฎ AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 282
article thumbnail

What is platform engineering?

Dynatrace

With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. In response to this shift, platform engineering is growing in popularity. The result is a cloud-native approach to software delivery.