Remove Development Remove Infrastructure Remove Software Engineering Remove Systems
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

How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. Context-rich tickets can be created in systems like Jira or ServiceNow for traceability and compliance.

DevOps 282
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

Site Reliability Engineering

DZone

In the dynamic world of online services, the concept of site reliability engineering (SRE) has risen as a pivotal discipline, ensuring that large-scale systems maintain their performance and reliability.

article thumbnail

Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, โ€œ80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application deliveryโ€ฆโ€ by 2026.

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. My experience is the opposite.

article thumbnail

Extend the AI and automation core of Dynatrace with host extensions to resolve infrastructure problems

Dynatrace

GPU-based machine learning system crashes, and you donโ€™t know why? One of our software engineers, Tomasz Gajger, has been involved in a research project related to GPU performance analysis. In the course of his research, he developed a OneAgent NVML extension , which is now available under the MIT License.

article thumbnail

Software engineering for machine learning: a case study

The Morning Paper

Software engineering for machine learning: a case study Amershi et al., More specifically, weโ€™ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.