Alert RCA with SigNoz MCP Server & Claude
Alert RCA with SigNoz MCP Server & Claude.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Bridging partners in pursuit of agentic AI - Part 1: Why partnerships matter for enterprise intelligence
The pace of change in AI development has been dizzying. In just a few years, we’ve moved from experimenting with AI, machine learning (ML), retrieval augmented generation (RAG), and agents to asking how these innovations can solve real business problems. Enterprises are no longer impressed by the novelty and possibilities; instead, they expect outcomes.
Bridging the Gap Between Customer Support and Data Intelligence in Modern Operations
Customer support and operational data used to live in different worlds. Support teams handled people and conversations, while operations focused on systems and uptime. But those worlds are no longer separate, and pretending they are only slows things down. A spike in complaints might point to a backend issue. A confusing interface can trigger more tickets than any automated alert ever could.
Early Market Clues: How Real-Time Activity Shapes Trading Decisions
Most traders rely on lagging indicators, metrics that confirm trends only after they've occurred. As Investopedia explains, these indicators "reflect the outcomes of past events," leaving traders a step behind when momentum shifts. In contrast, leading indicators point to potential moves before they appear in price data - the kind of foresight that separates anticipation from reaction.
Software Maintenance in 2025: How AI & Automation Are Redefining Support
Software maintenance is no longer a reactive patching procedure in 2025. Rather, it is a predictive discipline that involves continuous enhancement and supports automation and AI. It helps in lowering toil and hardening release velocity without decreasing reliability. When you continue to consider maintenance as 'turning the lights on,' you are losing uptime, money and developer attention.
Protecting Production from a VP
The rise of AI coding assistants means new "developers" in many organizations. Your safety nets (and on ramps) need to be built with citizen developers in mind. Innovation is moving faster than ever. That’s great. With AI code generation accelerating professional developers and the rise of "citizen developers" thanks to tools like vibe-coding, we’re seeing more code written today than ever before.
From court to code: Build an agentic RAG assistant with Elasticsearch
Want to see what it really takes to build a smart AI assistant? How about one that can help you make the right fantasy basketball picks? In this live session, we’ll demonstrate how to instantly activate and ground a high-performance AI agent using the Elastic Agent Builder, and we’ll show how it powers real-world use cases like smarter player picks. Join JD Armada, developer advocate, for a 20-minute live coding session to learn about.
A Launch Day in the Life with AI Teammates
Alex, an SRE at Greenagonia, starts the day knowing there’s a big launch coming. Pre-orders suggest a 5-10x increase in normal traffic, which means coffee needs to be extra strong this morning. As Alex scans through overnight alerts, he realizes he’s completely forgotten about a dentist appointment that overlaps with his upcoming on-call shift. Six months ago, this would have meant frantic Slack messages or at least one phone call. Today? Alex’s AI teammate has it covered.
Eng Intelligence within the Cortex MCP
Cortex now brings engineering intelligence directly into our MCP, giving teams a unified context for understanding their organization’s engineering performance. In this video, see how MCP transforms raw data into actionable insights that help teams improve velocity, reliability, and overall impact.
What is autonomous validation? The future of CI/CD in the AI era
Over the past decade, CI/CD has redefined how modern software is built and shipped. CircleCI has been a leader in that transformation, working alongside the world’s best engineering teams to build a reliable foundation for continuous delivery at scale. Today, those foundations are under new pressure as AI reshapes every aspect of the delivery cycle. Developers are producing more change with less certainty about what those changes touch.