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

How To Use Alloy and Hosted Graphite's Loki to Store and Visualize Logs

In a modern DevOps environment, having just metrics or just logs is like trying to navigate with half a map because you’re missing important context that makes decisions faster and smarter. Metrics tell you what is happening (CPU spikes, request rates, failed logins) but logs tell you why it’s happening, with the timestamps to prove it.

Introducing Logz.io Open 360 AI: The Next Generation of Observability Is Here

Traditional observability tools can’t keep up with modern complexity. Dashboard and alert-based approaches still rely heavily on manual processes, resulting in longer troubleshooting cycles, slower decisions, and higher MTTR. Engineering teams need something better. Today we’re launching Open 360 AI, the first observability platform designed for both humans and AI agents working together.

VictoriaLogs Practical Ingestion Guide for Message, Time and Streams

VictoriaLogs Practical Ingestion Guide for Message, Time and Streams This VictoriaLogs article serves as a quick way to grasp the core concepts of VictoriaLogs. It covers only the most important information from the documentation, along with common cases identified after troubleshooting many real-world scenarios. If you’re just getting started with VictoriaLogs, this is a great place to begin. For more in-depth or advanced details, refer to the official documentation.

Visualizing Logs Alongside Metrics: A Practical Use Case

Security threats aren’t always loud and don’t always crash systems or trigger alarms. Sometimes they creep in quietly as a steady stream of unauthorized login attempts, slow brute-force probes, or unknown IPs scanning your server for vulnerabilities. These behaviors often show up in logs before they surface in metrics but if you're only watching logs or only tracking metrics, you're missing part of the story.

AI-driven alert triage and root cause analysis (RCA) that proactively responds to production alerts

Watch AI transform alert management in real-time. This technical demonstration compares manual alert investigation with AI alert investigation. It shows how AI agents automatically investigate production alerts, correlate telemetry across distributed systems, and identify root cause, faster and with more insights than manual processes. Watch and learn how to shift your team from reactive firefighting to proactive system reliability management with agentic AI.

Introducing the Coralogix SLO Center

Are you struggling to define reliability targets? Teams nowadays are turning to Service Level Objectives (SLOs), reliability targets that can be used to define how much you can play around with your systems before users are affected too much. While they're a great way of defining reliability targets, they are difficult to manage. That's why we built the SLO Center. One place to define, track, zoom into, and stay on top of all your reliability targets and error budgets - so you can be sure when you can experiment, and when it's best to stay safe.

Manual vs. AI-Driven Alert Triage and RCA: Who Will Win?

Curious to see how AI actually performs in a real-world production scenario? Watch the webinar “AI-Driven Alert Triage and RCA” with Logz.io Customer Success Engineer, Seth King. Below, we also bring the main highlights of the webinar. AI claims to make engineers more efficient and agile, by shortening processes and surfacing insights that help drive decisions.