In the race to build and release software faster, many organizations unintentionally overlook one critical aspect: security and process integrity within the Software Development Life Cycle (SDLC).

Organizations that treat AI adoption as both a technical evolution and a cultural transformation see the most lasting impact.

SDLC guides teams to plan, build, test, and deliver software. Discover phases, KPIs, tools, and checklist with our quick ...

FinTech Software and Emerging Technologies. The future of financial services is being written by emerging technologies. Driven by the rapid growth of the mar ...

In the ever-evolving world of tech, DevOps is what keeps modern software development upright and going. Organisations ...

This strengthens Google’s position against rivals such as Microsoft and AWS as enterprises seek faster, more reliable ways to ...

LG Uplus teamed with Amazon Web Services to developed agentic AI that automatically installs complex cloud-native network ...

A DevOps-based framework integrates automation, continuous integration, and agile methodologies to enhance medical device software development.

The global market for Data Center Deployment Spending was valued at US$104.4 Billion in 2024 and is projected to reach US$213.8 Billion by 2030, growing at a CAGR of 12.7% from 2024 to 2030. This ...

Incredibuild, long known for supercharging software build times, has announced the acquisition of Kypso, a fast-rising AI ...

Zephyr-based modular framework for runtime AI/ML profiling and layer-by-layer analysis enhances open source foundation, ...