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Misconfigured Alert Detection: Find the Alerts That Need Tuning
Netdata ships with hundreds of stock alerts. They cover a wide range of infrastructure conditions and they’re designed with sensible defaults. But “sensible defaults” and “correct for your environment” are not the same thing. A CPU threshold that’s perfectly reasonable for a build server might generate constant noise on a machine running batch jobs.
Now in Harness DB DevOps: Percona Toolkit for safer MySQL schema changes | Harness Blog
If you've ever run an ALTER TABLE on a busy MySQL table in production, you know the feeling. The change is small. The risk isn't. Long-running table locks, queued writes, application timeouts, replication lag, a five-minute migration that turns into a half-hour incident review. We're shipping an integration that takes that anxiety out of the loop. Harness Database DevOps now supports Percona Toolkit for MySQL as part of Liquibase-based schema management.
Why GitOps for MongoDB Matters: A Case for Harness DB DevOps | Harness Blog
Most development teams today build everything around Git, and deploy with GitOps principles. Code sits in version controlled environments, changes go through PRs, and deployments are handled through modern CI/CD. That part is pretty standard at this point, especially when using a modern DevOps platform like Harness.
Accelerating AI Agent Development on Google Cloud with JFrog MCP Registry
Developers building agentic AI on Google Cloud have powerful infrastructure at their fingertips: Gemini 3 for reasoning, Google’s Agent Development Kit (ADK) for orchestration, and a rapidly expanding ecosystem of Model Context Protocol (MCP) servers that connect agents to data and tools. So why are so many teams still waiting weeks to ship their first agent to production?
The 2026 software supply chain security gap
AI-generated code is now nearly universal. Enforcement is not. That gap is where your software supply chain is most exposed. Cloudsmith's CEO Glenn Weinstein, Co-Founder & CTO Lee Skillen, and VP of Product Alison Sickelka join Product Marketing Manager Meghan McGowan to unpack the 2026 State of Artifact Management report – a survey-based look at how AI development is reshaping the threat landscape, what organizations are getting wrong, and what the highest-leverage fix actually looks like.
Introducing the Cortex AI Assistant (now in Slack)!
Mention @Cortex in any Slack channel the Assistant has been invited to, public or private, and get grounded answers pulled from your Cortex data. Questions can be as simple as "who owns payments-api?" or as analytical as "what's driving our incident trends this quarter?" The Assistant pulls context from all across Cortex, including ownership, Scorecards, Initiatives, on-call, dependencies, and Eng Intelligence metrics, and holds context across a threaded conversation.
15: Optimizing AI Workloads: Balancing Cost, Performance, and Scalability with Bijit Ghosh
In this episode, Andrew Hillier and Bijit Ghosh discuss the evolving landscape of AI, discussing the growing prominence of inference over training, hybrid cloud strategies, balancing cost with performance, and the orchestration of complex hardware environments. The conversation also touches on emerging concepts like AI factories, the challenges of sovereign cloud, and how enterprises are navigating data gravity and regulatory constraints. It's a deep dive into optimizing AI infrastructure, managing costs, and the disruptive changes that are transforming both technology and business outcomes.
How to Exclude Health Check Endpoints from Python OTel Traces
Health check endpoints generate thousands of identical, useless spans per day. Here are two production-ready approaches to filter them from your Python OTel traces — and the correctness trap most implementations miss. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.