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Whether it’s a stalled Log Reader Agent, a conflicting insert on the subscriber, or a failed cleanup job bloating the distribution database, Redgate Monitor now brings SQL Server replication issues to light early, before performance or reliability are affected. In many SQL Server environments, replication remains essential for offloading reporting and analytics workloads, or for maintaining local and synchronized data copies across regions.

As excitement builds for KubeCon North America 2025 in Atlanta, Densify has released its latest innovation for Kubernetes and AI-driven infrastructure resource management: the Densify Model Context Protocol (MCP) Server. This new capability enables organizations to securely integrate Densify’s Kubex resource optimization intelligence directly into popular LLM-powered tools — including ChatGPT, Claude, Cursor, and Gemini CLI.

This is the next installment of the series on building a database and an application called dbRosetta using AI/LLM. Part 1 introduces the concept. THE AI PICKED DATABASE FIRST! Look, I talk databases at this thing a lot, so it probably knows my own preference, but when I asked it, it chose to build a database separate from the code. Let’s get into it.

Availability describes how often a system is operational and accessible when users need it. It answers a basic question: Can I access the service right now? Availability is often expressed as a percentage over a set time window.

When you're shipping LLM features, a lot of the work goes into keeping the model's behavior predictable. You deal with questions like: These are everyday concerns when you integrate LLMs into production systems. Guardrails AI provides a Python framework that helps you enforce those expectations. You define the schema or constraints you need, and the framework validates both the inputs going into the model and the outputs coming back.

Last month was certainly eventful. (If you use AWS or Azure, you probably already know what we’re talking about). But in case you missed it, here are the must-see headlines from October 2025.

AI is generating more code than ever, but delivery hasn’t kept pace. The Harness IDP Knowledge Agent helps teams close that gap by turning their internal developer portal into an intelligent platform for faster, safer software delivery. Joining a new engineering team can be exciting, but it can also be overwhelming. You spend the first few days figuring out what each service does, where documentation lives, and who owns what.

A war room is a dedicated space where a cross-functional team gathers to handle critical incidents. While the term once implied a literal room filled with maps and consoles, today many war rooms live online with video links, shared dashboards, and collaboration tools.

Harness Chaos Engineering now runs natively on GKE Autopilot. A simple allowlist configuration enables you to test resilience on Google's managed Kubernetes without sacrificing security or requiring workarounds. Google's GKE Autopilot provides fully managed Kubernetes without the operational overhead of node management, security patches, or capacity planning. However, running chaos engineering experiments on Autopilot has been challenging due to its security restrictions. We've solved that problem.