Expert perspectives on application security, compliance, and emerging threats
GeneralYour developers are using AI coding assistants right now. They re generating pull requests, suggesting dependencies, and writing security checks. But the mental models most teams have about these tool
GeneralYour team reviews code after it s written. The data suggests you should flip that around. What Changed Code review started around 2006 when Google formalized internal practices. For nearly two decades
GeneralGoogle released two infrastructure projects in May 2026 that reveal where AI workloads are breaking Kubernetes: Agent Substrate and Agent Sandbox. These tools show that traditional container orchestra
GeneralYou ve probably heard it: AI coding assistants have boosted developer productivity so much that code review is now the bottleneck. GitLab s research suggests this shift. Your team might be discussing
Get weekly security insights and compliance updates delivered to your inbox.
GeneralScope This guide explores Epinio s architecture, security implications, and implementation patterns for teams using Kubernetes. You ll get specific guidance on standardization controls, compliance int
GeneralScope This guide outlines the changes needed when shifting from manual observability workflows to AI-led root cause analysis. It s for DevOps and platform engineering teams planning to deploy AI agent
GeneralIn application security, the belief is that more detection equals better security. Scan everything, flag everything, track everything. If your SAST tool finds 10,000 issues, you need to see all 10,000
GeneralScope This guide focuses on modifying CI/CD pipelines for deploying large language models (LLMs) to production. If your team is running LLM-powered features like chatbots or content generators, your c
GeneralAmazon EKS operates hundreds of thousands of Kubernetes clusters across more than thirty AWS regions. Their recent architectural changes highlight which assumptions about Kubernetes management fail at
GeneralYour CI/CD pipeline deploys code to production automatically, but your resource optimization tool still requires manual approval via Slack messages. Recent data reveals a significant trust gap in how
GeneralYour organization just bought an AI code review tool. Now someone in leadership is asking why you still need manual peer review at all. If the AI catches the bugs, why slow down deployment with human
GeneralYou ve probably heard the pitch: point an AI coding agent at your legacy Spring Boot 2.7 codebase, and watch it handle the upgrade to Spring Boot 3 or 4. No more manual refactoring. No more dependency
GeneralScope This guide focuses on transitioning from traditional line-by-line code reviews to intent verification systems for teams facing AI-generated code bottlenecks. You ll find specific steps for imple
GeneralThe Conventional Wisdom Speed wins. Deploy faster, iterate quicker, ship more features. The data seems clear: project deployment rates jumped from 357 per month in 2021 to 988 per month in 2025. AI ad
GeneralThe traditional Continuous Integration (CI) pipeline was designed for a time when developers pushed code a few times per day. However, coding agents operate differently, iterating in seconds rather th
GeneralYour team runs 50 Kubernetes clusters. Next quarter, you ll run 200. The year after, maybe 1,000. At some point, the management approach that got you here stops working—but most teams don t realize wh
