Traditionally, achieving deep visibility into distributed systems required significant trade-offs in engineering time. Collecting meaningful application metrics and traces required teams to embed language-specific agents, modify source code, or manage complex library dependencies across every service.
From malformed fields to endlessly nested objects, JSON logs can feel like they’re trying to submit your SIEM. In this technical session, we’ll demonstrate how to turn that chokehold into a clean takedown using Graylog’s parsing, normalization, and enrichment capabilities. You’ll learn how to: Whether you’re a SOC analyst tired of regex wrestling or an admin looking to streamline onboarding, you’ll leave with practical techniques to make messy JSON your sparring partner—not your opponent.
Logging in Next.js is more difficult than you might think. Most logging libraries are only designed to run in Next.js. Some have "hacks" to work in the browser, but almost none will work in the Edge runtime where your middleware lives.
OpenTelemetry Project Updates | Observability Day Europe Catch up on the latest OpenTelemetry project updates from Observability Day Europe. This session covers recent stability milestones, new tooling, and what's in progress across the OTel ecosystem.
Runbooks are rarely missing because teams don't value them. They're usually missing because incident response, follow-up, and platform work compete for the same limited time. By the time an issue is resolved, the knowledge is fresh, but the window to document it is already closing. That gap creates familiar failure modes: over-reliance on senior engineers, slower handoffs, and less confidence for whoever is on call next.
Transform reactive incident response with Splunk’s troubleshooting agents, designed to drastically reduce mean time to identify and resolve issues. This session demonstrates how a multi-agent approach empowers teams of all skill levels to pinpoint root causes, prioritize issues by business impact, and prevent future outages. Tech Talk sessions offer insightful and valuable deep-dives for any technical practitioner.
Capital markets systems don’t scale linearly. A macro event, an earnings release, a sudden liquidity shift, and telemetry volume doubles in seconds. In most observability platforms today, that spike means one thing: every byte gets written to a high-cost index before a single query can touch it. There’s no middle ground. You pay full indexing cost for the compliance log that no one queries for six months, the same way you pay for the execution trace you need right now.
OrionIQ is Logz.io’s new agentic observability platform designed to move teams from detecting issues to resolving them automatically. As AI accelerates software development, operations remain manual: engineers still wake up at 2 a.m. to investigate alerts and rebuild context. OrionIQ uses AI agents to analyze real-time telemetry, investigate incidents, identify root causes, and take action across systems.