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. Got any more questions?

DevOps 292
article thumbnail

A Note to Business Leaders on Software Engineering

Strategic Tech

Software development is not an established discipline where there is a clear technique used to solve any given problem. In fact, there are near infinite ways to solve every software engineering challenging. However, as software systems age, the time it takes to add new features grows exponentially?—?and

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

Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits.

Java 202
article thumbnail

The state of site reliability engineering: SRE challenges and best practices in 2023

Dynatrace

Customer empathy is key to a fully optimized site reliability engineering practice Software engineering can often be an impersonal discipline. We’ll see lots of different types of impact versus one definitive impact [from generative AI],” she said.

article thumbnail

SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. They still will win for mission-critical or real-time systems, which need performance over these parameters.

Java 207
article thumbnail

Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Here is the definition of this model: ?. Industry apps explosion.

article thumbnail

MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.

DevOps 137