Dynatrace

FEBRUARY 10, 2022

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. Observability and AIOps help drive automated delivery and operations processes. JFrog Pipelines.

Artificial Intelligence 226

Artificial Intelligence DevOps Azure Cloud 226

Dynatrace

MARCH 3, 2020

By 2023, over 500 million digital apps and services will be developed and deployed using cloud-native approaches. This innovative model supports continuous delivery in a consistent and reliable way and stays true to the DevOps goal of code moving across the pipeline with more automation and less, or minimal, human intervention. .

Performance 239

Performance Education Innovation Software Architecture 239

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Many changes are rendered through automated testing. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Tasktop

MAY 7, 2019

Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 17.7% However, test automation doesn’t come without its own unique set of challenges. While Agile and DevOps are focused on generating greater value for end user by delivering products/features as fast as possible, this need for speed cannot compromise quality.

Testing 72

Testing DevOps Efficiency Testing Tools 72