OpenObserve launched Observability 3.0, a brand new era of its AI-native platform that brings autonomous anomaly detection, AI SRE, and LLM observability inside one answer. Whereas legacy instruments like Prometheus-Grafana and ELK had been constructed for a world of static infrastructure, Observability 3.0 is designed for the dimensions and complexity of recent AI workloads. On the middle of this suite is AI SRE, an autonomous layer that makes use of unified telemetry to determine root causes and advocate or take corrective steps with out requiring engineers to manually type via knowledge.
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OpenObserve unifies infrastructure, software, and AI observability with out stitching collectively separate options, delivering 140 occasions decrease storage prices with zero database administration for enterprises and empowering engineering groups to maneuver from reactive firefighting to autonomous operations.
Legacy open supply observability stacks corresponding to Prometheus-Grafana and ELK can’t handle the dimensions of telemetry generated by LLM workloads. Moreover, legacy business distributors are forcing their prospects onto knowledge diets, that are deliberate limits on what telemetry will get ingested and saved, then cut back the context accessible for predictive prognosis and evaluation. Separate platforms have crammed particular person gaps, with instruments for LLM observability, AI-driven incident triage and front-end monitoring. Every requires its personal instrumentation, interface and operational overhead. OpenObserve replaces that with a single platform that engineering groups can function in a single interface.
OpenObserve’s S3-native structure handles high-volume telemetry with out the price or complexity of legacy platforms. The brand new AI suite builds on that, with intelligence throughout logs, metrics, traces and now LLM telemetry in a single interface.
The brand new suite has three interconnected capabilities:
AI SRE is an autonomous layer that analyzes telemetry context and extracts alerts. Trendy techniques generate extra knowledge throughout an incident than groups can assessment manually. AI SRE can determine the basis trigger and advocate or take actions.
Anomaly detection offers early warning alerts {that a} system has issues. Groups obtain proactive alerts earlier than an incident happens of their current OpenObserve workflow to allow them to shortly reply.
LLM Observability extends OpenObserve’s telemetry pipeline to cowl immediate monitoring, eval monitoring and generative AI software efficiency. Organizations get a single view from the server to the applying layer.
“Observability 3.0 is a brand new working mannequin for engineering groups, and the businesses that undertake it’ll ship sooner, sleep higher, and outpace these nonetheless wiring collectively legacy instruments,” mentioned Prabhat Sharma, founder and CEO, OpenObserve. “With Observability 3.0, firms can transfer from firefighting to proactive autonomous operations and get again to constructing the merchandise that drive their companies ahead.”
OpenObserve is utilized by greater than 6,000 organizations, together with many Fortune 100 firms. The open-source venture has 18,000 GitHub stars, displaying sturdy developer adoption.
The brand new AI capabilities come as OpenObserve accelerates its business enlargement following a latest $10 million Collection A financing led by Nexus Enterprise Companions and Dell Applied sciences Capital.
“Legacy observability stacks weren’t constructed for AI-scale telemetry, and that’s creating actual friction. Telemetry volumes are rising roughly 30% 12 months over 12 months, but 75% of organizations nonetheless depend on 6 to fifteen instruments, resulting in fragmentation and blind spots,” mentioned Paul Nashawaty, Principal Analyst and Follow Lead at theCUBE Analysis. “Distributors responding with ‘knowledge diets’ are fixing the fallacious downside; engineering groups want extra contextual, correlated telemetry, not much less, to diagnose points in AI-driven environments. That is driving a shift to unified observability, the place a shared telemetry layer replaces stitched-together instruments. Finally, it’s resulting in autonomous operation, AI-driven SRE fashions corresponding to OpenObserve’s the place techniques floor root trigger and act, as an alternative of groups manually triaging incidents.”
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