Operations | Monitoring | ITSM | DevOps | Cloud

I built an MCP Server for Observability. This is my Unhyped Take

Recently, I read a blog titled “It’s The End Of Observability As We Know It (And I Feel Fine)”, which discussed MCP servers in observability and how these systems would potentially be the “end of observability”. As someone who has spun up an MCP server for an observability backend and as someone who has been in the space for a while, I certainly do not think so.

Release v2.6: MCP Server, AI Insights Enhancement, Okta SCIM Integration, SNMP Monitoring and more.

Netdata 2.6.0 is here and it’s our most intelligent release yet! This version brings AI-powered monitoring, easier network visibility, and smoother enterprise integrations, all designed to help you troubleshoot faster and scale smarter. What's New: Netdata Referral Program Every referred user will get a 10% discount when they subscribe to Netdata Business or Homelab - and you will receive 10% of their subscription value (up to a max of 1000$ per space). You can refer an unlimited number of users, so there's no real limit to how much you can earn with the referral program.

Learning MCP with PagerDuty

Join PagerDuty's Software Engineers José Côrte-Real and Manuel Reis, and host Daniel Afonso, Senior Developer Advocate, for a dive into Model Context Protocol (MCP) - we'll explore what it is, how it works, and showcase practical use cases in action. Plus, get an exclusive sneak peak at PagerDuty's upcoming open-source MCP server and learn how it can enhance your workflows.

Can AI Really Protect Your Business from a Data Breach?

By 2025, experts predict cybercrime will cost the world over $10.5 trillion annually. The average data breach? Almost $4.9 million. But if you run a small business, you're probably thinking: "I'm not a bank or a hospital-why would anyone target me?" The answer? Because you're easier to hack. Small and digital-first businesses now sit at the center of a rising cybercrime wave-and many don't even know it until it's too late.

Build vs. Buy: The True Cost of AI Security Data Pipelines

Security operations today are drowning in data. With cloud workloads, SaaS tools, endpoint agents, and firewall appliances all generating telemetry 24/7, many organizations are reaching a tipping point—unable to afford full visibility, yet afraid of what might slip through the cracks. That’s why AI-native security data pipelines have emerged as a critical solution.

In The AI Era, The Winning Teams Track Cloud Unit Costs From Day 1

Everyone’s obsessed with speed right now. Ship fast. Stack features. Slap an LLM on it and call it v1. Amirite? But in the AI era, where cloud costs can spiral in a weekend, moving fast isn’t enough. The teams that track cloud unit costs from Day 1? They’re the ones who come out ahead. Most teams don’t start there though. They focus on building features and chasing traction, and the cloud bill just shows up like that subscription you forgot to cancel. Maybe someone glances at it.

Panel Discussion: Understanding the importance of GPUs for AI success

Are you curious about the role of GPUs in AI and how they can accelerate your projects? Join Kunal Kushwaha (Field CTO), Ben Norris (AI Engineer), and Kendall Miller (Strategic Business Development) in this upcoming panel discussion as they dive into the world of GPUs and their significance in AI.

Introducing JFrog's MCP Server: Better vibes and easier AI automation

Good news! You no longer have to be a DevOps or JFrog expert to harness the power of the JFrog Software Supply Chain Platform. With the introduction of JFrog’s MCP Server, we’re making the JFrog Platform accessible to your favorite large language models (LLMs). Now, every developer can take advantage of the detailed security and package information available in JFrog, such as vulnerability data from the JFrog Catalog, without needing to context-switch.

Beyond Human: AI-Powered Network Operations for the Enterprise

AI doesn’t replace teams. It frees them. AI can be viewed as a digital twin, shouldering the manual load, eliminating low-value work and giving people their time back. In network operations, where every second counts and pressure never lets up, AI becomes the way to rise above the pressing workload. The overwhelming workload isn’t due to teams being incapable, but more because they’re buried in busywork.

Elasticsearch is a recommended vector database in the NVIDIA Enterprise AI Factory validated design

Elastic now integrates with the NVIDIA Enterprise AI Factory validated design to provide users with a recommended vector database for their on-premises AI Factories. The validated design provides enterprises with a framework for building and deploying AI Factories on-premises.