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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

AI SRE in Practice: Tracing Policy Changes to Widespread Pod Failures

Policy changes in Kubernetes are supposed to improve security, enforce standards, or optimize resource usage. But when a policy change triggers cascading pod failures across multiple namespaces, the investigation becomes a race to identify what changed before more workloads are affected.

NoSQL Change Control for Compliance | Harness Blog

NoSQL change control must be integrated into CI/CD to ensure governance, traceability, and deployment safety, while automated versioning, testing, and rollbacks reduce compliance risk and preserve release velocity, enabling structured database DevOps to scale innovation without compromising reliability or audit readiness.

Secure OAuth is easy to demo and hard to operate at scale

Most teams think about OAuth the same way they think about logging. It is necessary, familiar, and supposedly solved. Then it hits production. Suddenly, it is not just one authentication flow. It is a complex web of two or more applications, multiple environments, cookies, redirects, secrets, and route boundaries. The uncomfortable truth is that OAuth security is not just an implementation detail. It is an operational system, and that system is only as strong as the platform it runs on.

The rise of the agentic future: scaling AI workflows with relaxAI and n8n

This blog is based on the webinar, “From idea to agent: Building AI workflows with relaxAI and n8n”. You can watch the full recording by clicking here! AI isn’t slowing down. We’re moving from “ask a chatbot” to agents that run the multi-step workflows, use tools, and are built for real business processes. Most teams aren’t blocked by ideas. They’re blocked by three things: complexity, cost, and control.

AI Vendor Lock-In: How AI Is Creating A New Dependency Problem

Like most SaaS companies, you’re under pressure to ship AI-powered features faster, smarter, and at scale. For many teams, that pressure leads to relying on external AI platforms, managed models, and third-party APIs instead of building everything from scratch in-house. At first, it feels like a win. Your team ships an AI-powered feature in weeks instead of months. No GPU clusters to manage. No models to train. No infrastructure to babysit.

Why leaders are reassessing the role of big tech in 2026

This session highlights a major strategic shift where sovereignty has moved from a technical detail to a top boardroom priority. The data reveals that 84% of leaders are concerned about geopolitical threats to their data access. 82% of respondents are ready to reassess their big tech partnerships specifically to regain data control. This shift is further evidenced by the 71% of decision-makers who now place sovereignty at the heart of their tech partner choices moving forward. The era of "sovereign-by-design" infrastructure is here. Are you ready to build for a more resilient future?