Traditional monolithic platforms have served their purpose. As technologies like artificial intelligence and quantum computing usher in a new digital age, flexible and modular architectures will take their place. Developers and cloud professionals should familiarize themselves with composable architecture’s principles, benefits and implementation best practices to remain competitive in an evolving technological landscape. Composable Architectures […]
Hacktron Plans to Build AI Platform to Test Code for Vulnerabilities
Hacktron revealed today it is developing a platform that leverages artificial intelligence (AI) to continuously test code for vulnerabilities. Fresh off raising $2.9 million in seed capital, Hacktron founder Zayne Zhang said the company’s platform will employ multiple AI models to test every pull request and code change to identify vulnerabilities that are actually exploitable. […]
AWS Extends Scope of AI Engines Embedded in Kiro Coding Tool
Amazon Web Services (AWS) today added additional capabilities to its Kiro artificial intelligence (AI) coding tool that promise to further reduce the time and effort needed to build software. Kiro now includes a Parallel Task Execution engine that accelerates application development by eliminating the need to complete a set of tasks sequentially, along with a […]
OpenAI’s Daybreak Challenges Anthropic in AI Cybersecurity Race
OpenAI has moved deeper into enterprise cybersecurity with the launch of Daybreak, a platform that identifies software vulnerabilities, validates fixes, and speeds up patching workflows using AI models and its Codex Security system. Daybreak places OpenAI more directly in competition with Anthropic, whose Project Glasswing and Claude Mythos models also offer dual-use AI systems built […]
Red Hat Previews AI Agent Integration with Ansible Automation Platform
Red Hat today revealed it is extending the reach of its Ansible Automation Platform for IT operations to artificial intelligence (AI) agents, in addition to making it simpler to build AI agents using existing application development tools. Announced at the Red Hat Summit conference, version 2.7 of the Ansible Automation Platform adds a technology preview […]
The Five Biggest Mistakes Organizations Make When Implementing SRE
From cargo-culting Google’s playbook to rushing AI-powered observability into production before the fundamentals are in place, here’s where SRE transformations quietly go wrong, and how to course-correct.
Continuous Security in DevSecOps: Moving Beyond One-Time Testing
Waiting for a single annual pentest to secure your application is like locking your front door only once a year and hoping for the best. In an era where 133 new vulnerabilities are reported every single day, relying on periodic snapshots leaves your organization exposed to evolving threats for months at a time. This approach is no longer just […]
Why Senior Engineers Still Do Manual Work in Highly Automated Environments
Automation has been part of enterprise IT for many years, and in many environments, it has grown into an extensive network of interdependent workflows that keep routine operations running smoothly. Scripts provision accounts, automated workflows manage cloud resources, orchestration tools coordinate ITSM processes, and AI-driven tools help employees across the organization complete tasks more efficiently. […]
Ten Great DevOps Job Opportunities
staging-devopsy.kinsta.cloud is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers. Of course, the pool of […]
How Open Source Dependency and Repo Attacks Compromise DevOps Pipelines and How to Stay Safe
Modern applications rely on open source components for up to 90% of their code, creating a vast attack surface dominated by inhemalicious supply chain injections. High-profile incidents like Log4j and the sabotage of colors.js highlight that traditional scanning often fails to detect sophisticated “protestware” or dependency confusion, necessitating 19 practical controls focused on strict intake governance, dependency pinning, and behavioral monitoring to secure the development lifecycle.
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