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grafana

AI in observability at Grafana Labs: Making observability easy and accessible for everyone

Aug 14, 2025 By Mat Ryer In Grafana
Did you know that observability has been around for more than six decades? It all goes back to a Hungarian-American inventor named Rudolf Kálmán who thought about how external outputs could measure the internal state of a machine. Kálmán wrote about monitoring single-input single-output systems, but our demands are very different today. We need to observe monoliths, microservices, clusters, pods, regions, and many more.
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grafana

AI for Grafana onboarding: Get your teams started quicker with Grafana Assistant

Aug 14, 2025 By Maurice Rochau In Grafana
Grafana puts a powerful set of observability capabilities right at your fingertips, but onboarding entire teams to the sophisticated platform is often a nontrivial exercise—one that can slow adoption and prevent organizations from getting immediate value. We want to make the process as frictionless as possible, which is why we’re excited to tell you that Grafana Assistant is now available in public preview to all Grafana Cloud users.
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Incident.io

Using Claude to power up your onboarding

Aug 14, 2025 By Article In Incident.io
I joined incident.io about ten weeks ago, having been in my previous role for four and a half years. Being a new starter was an unusual feeling for me, and there's been a huge amount to learn; but by lunch on my second day (!) I had started shipping value to our customers. A large part of hitting the ground running has been having a colleague alongside me, who I can pester with questions, who doesn’t get offended when I write in all capitals, and often praises me for being absolutely right!
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coralogix

Inside the Coralogix AI Center: Solving AI's Silent Failure Crisis

Aug 14, 2025 By Andre Scott In Coralogix
Observability has always answered one core question: Is it running? But in the era of LLMs, autonomous agents, and AI-powered workflows, that’s no longer enough. We need to ask a harder, scarier question: Is it right? And right now, most teams can’t answer that. Let’s fix it. In our last post, “The AI Monitoring Crisis No One’s Talking About,” we outlined why prompt injection, hallucinations, and context drift create invisible failures.
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coralogix

What Is an MCP Server?

Aug 14, 2025 By Andre Scott In Coralogix
Ok MCP server, If you’ve been following AI development lately, you’ve probably heard whispers about “MCP Servers” floating around developer circles. It’s been around a little while now, and I myself have finally gotten round to using it. Boy, do we need to talk about it. MCP (Model Context Protocol) is Anthropic’s open standard that lets AI assistants connect directly to your tools and data sources, not just static documentation or code snippets.
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Getting Started with Grafana Cloud's AI Assistant for Observability

Aug 14, 2025 By Grafana In Grafana
The pace of software delivery in 2025 is unprecedented — cloud-native apps, microservices, and AI-generated code are shipping in days, not months. But one challenge never changes: ensuring reliability and visibility when systems fail. In this video, we explore how the new Grafana AI Assistant brings true, context-aware observability to your stack. Watch as we deploy an open-source Python service with Kafka, Postgres, Kubernetes, and Prometheus then use the AI assistant to instantly generate dashboards, alerts, and reduce un-needed telemetry volume.
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AI Meets Mobile: How Companies Leverage Android and AIOps for Smarter User Experiences

AI Meets Mobile: How Companies Leverage Android and AIOps for Smarter User Experiences

Aug 14, 2025 By OpsMatters In OpsMatters
Mobile devices are becoming smarter with every tap. Thanks to AI and AIOps, Android apps can now predict what users need, fix issues before they even notice them, and create seamless, personalized experiences. This isn't a distant tech dream but something that's happening right now, transforming the way companies design and deliver mobile services. From streamlining performance to enhancing customer engagement, AI is quietly rewriting the rules of mobile interaction.
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Pulseway

Pulseway's New AI-Powered Workflows: The Next Evolution in IT Automation

Aug 13, 2025 By Pulseway In Pulseway
Efficiency has never been so vital for IT departments and MSPs—it’s a necessity. Endpoints need constant patching, security threats evolve daily, and service requests never stop coming. For many IT teams, the biggest challenge isn’t solving complex problems—it’s finding the time to do it all. That’s why Pulseway’s new AI-powered workflow generator is a breakthrough for IT operations.
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grafana

LLM-powered insights into your tracing data: introducing MCP support in Grafana Cloud Traces

Aug 13, 2025 By Joe Elliott In Grafana
Distributed tracing data is a unique and powerful observability signal, allowing you to understand how your services interact and the relationships between them. Sometimes it can be difficult, however, to turn raw tracing data into actionable insights. This is exactly why we introduced Grafana Traces Drilldown, an application that lets you quickly investigate and visualize your tracing data through a simplified, queryless experience.
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7 Essential Tools for a Faster, More Accurate Record-to-Report Process

7 Essential Tools for a Faster, More Accurate Record-to-Report Process

Aug 13, 2025 By OpsMatters In OpsMatters
The record-to-report (R2R) process is the backbone of financial reporting, turning day-to-day transaction data into accurate financial statements. For finance managers, CFOs, and accountants, a faster and more accurate R2R process means timely insights, fewer errors, and confident decision-making. Yet traditional R2R cycles can be slow and prone to manual errors. In this article, we'll explore the tools for record to report process optimization - from automation platforms to analytics solutions - that can streamline workflows and boost accuracy.
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