Remove 2021 Remove Artificial Intelligence Remove DevOps Remove Software
article thumbnail

Why business digital transformation is still a key C-level priority today

Dynatrace

billion in 2021 to $127.5 AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. DevOps methodology—which brings development and ITOps teams together—also forwards digital transformation.

C++ 185
article thumbnail

AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. At AWS re:Invent 2021 , the focus is on cloud modernization. Its approach to serverless computing has transformed DevOps.

AWS 228
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

Dynatrace launches DevSecOps partner integrations for context-aware adaptive automation

Dynatrace

The need for automation and orchestration across the software development lifecycle (SDLC) has increased, but many DevOps and SRE (site reliability engineering) teams struggle to unify disparate tools and cut back on manual tasks. Now, Security, DevOps, and SRE teams can automate their delivery pipeline. Jira Software.

article thumbnail

How to evaluate modern APM solutions

Dynatrace

APM solutions track key software application performance metrics using monitoring software and telemetry data. G2 Research includes a clear definition of APM in its Grid Report for Application Performance Monitoring for Spring 2021. Artificial intelligence for IT operations (AIOps) for applications.

article thumbnail

Runtime vulnerability management is still a vexing challenge for organizations

Dynatrace

Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. As a result, these code sources compound opportunities for vulnerabilities to enter the software development lifecycle (SDLC). Many of these libraries have not been adequately tested before deployment.

article thumbnail

Three ways intelligent automation can advance release validation and break down DevSecOps silos

Dynatrace

Many organizations are adopting a DevSecOps approach to software delivery with the goal of accelerating release validation and ensuring frictionless, secure software delivery. But without intelligent automation, they’re running into siloed processes and reduced efficiency.

DevOps 213
article thumbnail

Top Software testing trends to look out for in 2022

Testsigma

The software industry goes through a lot of research and modified methodologies that keep the software quality top-notch for the end-user. Again, this was shaped by the market trends and the increasing importance of both of this software. A couple of years back a new term QAOps started picking up in the software industry.