Project work is no longer limited to spreadsheets, long meetings, and constant manual updates. AI tools now help teams plan timelines, monitor progress, and flag potential risks before they become serious issues. As this shift grows, many professionals are turning to books that explain how AI fits into daily project work without heavy technical language.

Zero Trust changes cybersecurity from perimeter defense to continuous verification of users, devices, and access.

Chaos engineering is a great way of detecting possible failures in IoT devices. This technology has evolved well for testing cloud failure, but open source communities are still working towards building an efficient chaos engineering toolkit for testing IoT devices.

The IoT Infrastructure Platforms Powering Smart Connected Devices Across Industries

This week, meet a reader we'll Regomize as "Clint" who told us he once worked as a consultant for a major Italian entertainment company.

The lack of trust that leads to outsourcing can be expensive

In this Help Net Security interview, Chrisma Jackson, Director of Cybersecurity & Mission Computing Center and CISO at Sandia National Laboratories, reflects on where the cyber talent pipeline breaks down and what it takes to fix it.

Docker has open sourced its most security-critical container infrastructure, making over 1000 hardened images free under Apache 2.0 to turn secure-by-default containers into an industry-wide baseline rather than a paid feature.

S/4HANA can realign and transform business models and processes. Here's what you need to know about SAP's flagship enterprise resource planning (ERP) system.

The Looming Quantum Threat to AI Model Confidentiality

Understanding the B2C Identity Landscape

Over the past year, developers have eagerly adopted generative AI to accelerate coding and streamline their workflows. In GitLab's latest DevSecOps survey, 78% of respondents said they are using AI for software development or plan to do so in the next two years.

Application modernization has become a critical initiative for organizations looking to remain competitive in today's rapidly evolving digital landscape. As businesses embrace cloud computing, microservices and AI-driven automation, modernizing legacy applications is no longer optional. It's essential for scalability, agility and innovation.

Artificial intelligence (AI) is helping to revolutionize platform engineering by automating critical workflows such as continuous integration and continuous deployment (CI/CD), system observability and resource allocation.

Platform engineering is fast becoming a cornerstone of modern software development, yet it remains widely misunderstood. Despite growing adoption across tech-driven organizations, persistent myths about what platform engineering truly involves are slowing its progress and obscuring its strategic value.

It was a typical Monday morning when our CTO dropped a bombshell: 'We're hiring 50 new developers next quarter.' Our platform team's immediate reaction? Panic. With our current onboarding process taking two weeks per developer, we were looking at 100 weeks of cumulative onboarding time. Something had to change, and fast.

While most of the cloud-native community talks about DevOps and its future, there is a sense of underestimation for the platform engineering stream, both as a career option and as a technological topic.

For years, DevOps has been one of the finest options when it comes to ensuring smooth collaboration between developers and operations. But, it includes various practices, tools, tickets and more.