Agentic Observability - The Top Observability Trends in 2026
Learn how autonomous agents are using real-time observability telemetry data to diagnose, fix and verify their own work.
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How to Build AIPowered Search with Elasticsearch [2 Min Live Demo]
In this demo, we show how Elasticsearch enables production‑ready GenAI and AI‑powered search applications—from indexing and embedding your data to grounding large language models with RAG. You’ll see how developers can go from raw data to a fully functional GenAI search experience—fast Additional Resources.
Observability vs Monitoring: Getting a Full Picture of the Environment
Driving down the highway, you usually glance intermittently at your speedometer to ensure that you stay within the speed limit, or whatever window above the speed limit you’re willing to drive. While monitoring your speed mitigates the risk of a ticket, you still need to look out for various threats on the road, like cars going through stop signs. By observing your surroundings, you take in real-time information that can help prevent a crash.
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3 Ways to Break Down SaaS Data Silos
Access to data is critical for SaaS companies to understand the state of their applications, and how that state affects customer experience. However, most companies use multiple applications, all of which generate their own independent data. This leads to data silos, or a group of raw data that is accessible to one stakeholder or department and not another. Data silos also prevent information from different sources from being blended together to gain a more accurate picture of what's happening in your application.
Context engineering: The missing layer for trusted AI in financial services
Financial services AI demands more than models and prompts. Context engineering provides real-time, governed, and explainable intelligence with Elastic serving as the foundational context layer. Artificial intelligence in financial services is no longer constrained by model capability. The real bottleneck is context.
Log Drains Now Available: Bringing Your Platform Logs Directly Into Sentry
Sentry now supports log drains, making it easy to forward logs into Sentry without any application code changes or manual project-key lookups needed. If your logs already exist somewhere else, you can now see them alongside errors and traces in Sentry, no code changes required. Already want to get started? The quickstart guide is one click away.
From Atlassian JSON to Actionable Audit Insights
Atlassian audit logs carry high-value security and operational signals, yet the raw format makes them hard to use in day-to-day investigations. Nested JSON, arrays inside arrays, and localization keys turn routine questions into slow, manual work. For lean Security and IT teams, that friction shows up as delayed triage, fragile dashboards, and alerts that fire without enough context to act.
Taming Atlassian Audit Logs: Processing messy JSON to enable operational insights
Atlassian’s audit records are data-rich, but messy. In this data-driven deep dive, Eddy Gurney from NetScout shares what it took to get them into Graylog. He walks through four pipeline approaches and why each fell short, then shows how moving parsing to the edge with Filebeat unlocked Graylog. With clean, flattened events flowing in, alerts and dashboards turn “noise” into operational visibility. You’ll also see how Sidecars makes config rollout easy, plus what changes to make if you’re on Atlassian Cloud instead of Data Center.
Stop Sifting Logs: Find Production Errors in Seconds with `severity=error`
Want your log queries to be more precise? Is your vibe code flooding you with logs and need a helping hand to make sense of it all? Good news! We've upgraded our log query language to be more powerful, flexible, and intuitive, letting you focus on finding answers fast rather than endlessly scrolling through your logs. And that's not all: We've revamped our logging interface, making it easier than ever to manage logs, customize views, and leverage log attributes.
Three-quarters of UK IT teams suffer outages due to missing critical alerts
Confronted with issues like tool sprawl and excessive alerts, UK teams report higher-than-average rates of alert fatigue and burnout.