Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Log Management, Log Analytics and related technologies.

Conquer Complexity, Accelerate Resolution with the AI Troubleshooting Agent in Splunk Observability Cloud

The digital landscape has transformed dramatically, and with it, the demands on our systems have grown exponentially. Traditional monitoring tools struggle to provide sufficient insight into complex, distributed, cloud-native environments. Observability is the answer, moving beyond merely knowing "what" is happening to understanding "why" it's happening, and its impact on user experience and business outcomes.

What is Active Telemetry

Active Telemetry is the evolution in how organizations collect, process, and use observability data. In traditional observability, telemetry is passive: systems emit logs, metrics, and traces that are stored and visualized after the fact. This model worked when systems were simpler and changes were predictable. But in today’s world with distributed microservices, Kubernetes, and AI workloads, passive telemetry can’t keep up. Active Telemetry changes that.

Use Grok parsing to extract fields from logs | Datadog Tips & Tricks

When your logs don’t follow a standard format, it can be difficult to extract valuable information, like key-value pairs and nested JSON objects. Grok parsing lets you define flexible patterns that match unstructured log data so you can extract specific fields to query, filter, and visualize. In this video, you’ll learn how to: By refining your Grok parsers, you can make your logs more useful for analytics, dashboards, or alerts, and get even more value from your logs.

Pastries with SREs: No compromises on cost-effective observability or donuts.

In this episode of Pastries and SREs, we dig into how vendor lock-in and sky-high observability costs are forcing teams to choose between coverage and budget, AND why you shouldn’t have to settle. With donuts in hand, we explore how to take back control of your observability strategy by making it cost-effective, comprehensive, and flexible.

Investigating SIEM Incidents with Logz.io

A short demo showing how Logz.io, powered by the AI Agent, helps investigate security incidents by analyzing and correlating data. The AI Agent uses natural language to: Query and correlate SIEM questions with related logs Detect anomalies and highlight unusual activity Summarize findings to speed up root cause analysis Provide recommended actions This video demonstrates a practical SIEM use case for the AI Agent inside Logz.io.

Making Observability AI-Native with the Logz.io MCP Server

Now available: Secure, real-time access to your observability data via Logz.io’s Model Context Protocol (MCP) Server. The Logz.io MCP Server brings your logs, metrics, and telemetry data into the Model Context Protocol (MCP), an emerging open standard that lets AI systems query real data securely and contextually, in real time. That means any MCP-compatible LLM, like Claude Desktop, Cursor, your own AI agent… can now connect directly to your Logz.io environment.