Sponsored Content
AI Is Here to Stay. The Real Challenge Is Operating It Securely
AI-generated code is already in production. Whether we are comfortable with that or not is beside the point. In the OpenStack project, which I have helped steward for more than 15 years, ...
The Validation Gap Is Costing You More Than You Think
Our latest State of Software Delivery report analyzed more than 28 million CI workflows and found a pattern that should give engineering leaders pause. Average throughput grew 59% year over year. Main ...
A Day with Developer Assist: Faster Fixes, Cleaner Commits
Security tools promise to help developers. In practice, many of them just relocate the burden. The vulnerability still needs to be understood, researched, and fixed, only now the developer is doing it ...
Agentic AI for Defense: How Checkmarx Turns Security into a Coding Partner
"AI-powered" has become the default label for every security tool on the market. But there's a meaningful difference between a tool that uses AI to generate alerts after the fact and one ...
Iceberg Won the Format War — Now Comes the Hard Part
Apache Iceberg has effectively won the open table format conversation. AWS, Google Cloud, Microsoft, Snowflake, Databricks -- every major platform has thrown its weight behind it. If you work in data engineering ...
When AI Gets It Wrong: The Insecure Defaults Lurking in Your Code
The arrival of generative AI in the software development lifecycle (SDLC) is arguably the biggest shift in coding in decades. For development teams, tools like GitHub, Copilot, and other AI assistants act ...
The AI Productivity Paradox: How Developer Throughput Can Stall
Software engineering leaders have invested heavily in generative AI coding assistants for over two years—and for good reason. For many teams, the productivity gains appear significant. I hear the same story in ...
The Cloud Scout Model Delivers Reliability As An Embedded Capability
Organizations today face a structural problem that is slowing down their move to cloud-native maturity. They’ve adopted modern DevOps tools, yes. They’re running Kubernetes. They’re using sophisticated observability platforms. But the people-and-process ...
The Future of DevSecOps: From Shifting Left to Shifting Smart
For the better part of a decade, a revolutionary idea has reshaped enterprise security: the "shift left" movement. This mantra taught us to view the software development lifecycle (SDLC) not as a ...
Beyond the Platform: How Enterprises Can Unify Their DevOps Toolchains for Better Governance and AI Readiness
For over a decade, the core mission of enterprise IT has been to accelerate innovation. This drive has led to a fundamental shift in how software is built, favoring team autonomy and ...
The Quantum Shift Is Here: A Survival Guide for the New Era of Software
The job of a modern software professional has changed. It now seems to include everyone else’s. Overnight, developers, security professionals and DevOps engineers have been asked to become cloud architects, AI whisperers, ...
Breaking Through – Beating Mainframe Delivery Bottlenecks
The mainframe powers large – and vital – elements of the global economy. Mainframe DevOps and new innovations offer the potential for delivering greater value, faster. Yet market data suggests significant challenges ...
