Fix Application Performance Issues Fast With Splunk AlwaysOn Profiling
In this video we’ll demonstrate how to use Splunk’s AlwaysOn Profiler to identify and fix a performance bug in a Java web application running on Kubernetes.
Operations | Monitoring | ITSM | DevOps | Cloud
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The latest News and Information on Log Management, Log Analytics and related technologies.
Exploring the log management dashboard in Site24x7
In this video, learn about the Site24x7's Log Management Dashboard, Why it's essential, and how to set it up?
Hash, store, join: A modern solution to log deduplication with ES|QL LOOKUP JOIN
Storage reduction example on PowerShell logs with full context.
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.
Coralogix becomes first observability vendor to earn ISO/IEC 42001:2023 certification for responsible AI
We’re proud to announce that Coralogix is now officially ISO/IEC 42001:2023 certified, becoming the first observability vendor to achieve this globally recognized standard for responsible AI management. ISO/IEC 42001:2023 is the world’s first international standard for Artificial Intelligence Management Systems (AIMS). It provides a comprehensive framework for how organizations should govern AI, focusing on transparency, ethical use, accountability, and regulatory compliance.
Coralogix SLO Center & SLO Alerts are now available
Coralogix has released a new flagship service management product, the SLO Center. The SLO Center allows customers to define service level objectives (SLOs) for their teams. SLOs can be defined across multiple services or metric streams. Powered by the Coralogix Streama engine, this unlocks full coverage SLOs for every team, regardless of volume and with very high cardinality limits.
Leaning into AI, ML, and observability to manage your ever-growing infrastructure
The complexity and scale of modern infrastructure requires an equally intelligent set of observability tools to effectively monitor it. Remember when scaling meant ordering new servers and racking them in a data center? Remember when cloud providers first offered access to seemingly infinite virtual machines at the click of a button? Remember when Kubernetes made it trivial for infrastructure to automatically scale itself based on demand?