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AI SRE & Production Engineering Insights

Insights, guides, and best practices on AI-powered SRE, incident management, observability, platform engineering, and production reliability.

Build vs. Buy: Should You Build Your Own AI SRE?
AI & AgentsSep 17, 2026

Build vs. Buy: Should You Build Your Own AI SRE?

For most organizations, the real question isn't build versus buy - it's who owns the ongoing maintenance. Off-the-shelf AI SRE tools work well if your stack looks like everyone else's. But if you're running JVM services, Kafka pipelines, Spark jobs, or custom Scala systems, generic tools stall exactly where your incidents are worst. This guide breaks down the real cost structure behind build vs. buy, when off-the-shelf is the right call, and when a managed, custom-built alternative changes the equation.

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How to Connect Your Incident Management Tool to Claude via MCP
AI & AgentsSep 15, 2026

How to Connect Your Incident Management Tool to Claude via MCP

Connecting your incident management tool to Claude through MCP enables context-aware AI-assisted incident response. By combining incident data, observability, runbooks, and automation, teams can investigate issues faster, reduce manual effort, and maintain human oversight while building a more reliable, AI-powered production environment.

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What Is an AI SRE? The Complete Guide to AI Site Reliability Engineering
AI & AgentsSep 11, 2026

What Is an AI SRE? The Complete Guide to AI Site Reliability Engineering

A guide to AI SRE: what it is, how it differs from AIOps and copilots, how it works, what can go wrong, and how to compare and roll out the leading tools.

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Is AI On-Call Safe for Production Systems? Addressing the AI Trust Gap
AI & AgentsSep 10, 2026

Is AI On-Call Safe for Production Systems? Addressing the AI Trust Gap

The AI trust gap is the hesitation engineering teams feel about allowing AI to recommend or execute decisions on live production systems. Discover how to safely deploy AI on-call with policy engines, action allowlists, and evidence-first governance.

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AI SRE Agent: From Support Email to Code Fix
AI & AgentsSep 8, 2026

AI SRE Agent: From Support Email to Code Fix

An AI SRE agent helps reduce the time engineers spend investigating support issues by turning customer emails into structured tickets, identifying the likely root cause, and creating evidence-backed draft pull requests. Instead of replacing developer judgment, it handles repetitive searching and context reconstruction while keeping humans in control through confidence thresholds, access restrictions, testing, and review. The approach allows teams to start small and gradually automate more of the support-to-code workflow safely.

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Enterprise AI Security: Securing LLMs, Agents & MCP
Security & ArchitectureAug 27, 2026

Enterprise AI Security: Securing LLMs, Agents & MCP

Secure enterprise AI with Zero Trust, LLM security, AI agents, MCP, OWASP, NIST, and proven strategies to prevent prompt injection and AI attacks.

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