Customer Success Manager

OpenObserve introduces ai-native observability platform with autonomous AI SRE agent to unify infrastructure, application and LLM monitoring. New Observability 3.0 capabilities include autonomous AI SRE, anomaly detection, and LLM observability, enabling engineering teams to move from reactive incident response to proactive autonomous operations. Apr 29, 2026 Prev Next 1 of 43,043 OpenObserve introduced Observability 3.0, a new generation of its AI-native platform that brings autonomous anomaly detection, AI SRE, and LLM observability within one solution. While legacy tools like Prometheus-Grafana and ELK were built for a world of static infrastructure, Observability 3.0 is designed for the scale and complexity of modern AI workloads. At the center of this suite is AI SRE, an autonomous layer that uses unified telemetry to identify root causes and recommend or take corrective steps without requiring engineers to manually sort through data. OpenObserve unifies infrastructure, application, and AI observability without stitching together separate solutions, delivering 140 times lower storage costs with zero database management for enterprises and empowering engineering teams to move from reactive firefighting to autonomous operations. Legacy open source observability stacks such as Prometheus-Grafana and ELK cannot manage the scale of telemetry generated by LLM workloads. Additionally, legacy commercial vendors are forcing their customers onto data diets, which are deliberate limits on what telemetry gets ingested and stored, then reduce the context available for predictive diagnosis and analysis. Separate platforms have filled individual gaps, with tools for LLM observability, AI-driven incident triage and front-end monitoring. Each requires its own instrumentation, interface and operational overhead. OpenObserve replaces that with a single platform that engineering teams can operate in one interface. OpenObserve's S3-native architecture handles high-volume telemetry without the cost or complexity of legacy platforms. The new AI suite builds on that, with intelligence across logs, metrics, traces and now LLM telemetry in a single interface. The new suite has three interconnected capabilities: AI SRE is an autonomous layer that analyzes telemetry context and extracts signals. Modern systems generate more data during an incident than teams can review manually. AI SRE can identify the root cause and recommend or take actions. Anomaly detection gives early warning signals that a system has problems. Teams receive proactive alerts before an incident occurs in their existing OpenObserve workflow so they can quickly respond. LLM Observability extends OpenObserve's telemetry pipeline to cover prompt monitoring, eval tracking and generative AI application performance. Organizations get a single view from the server to the application layer. "Observability 3.0 is a new operating model for engineering teams, and the companies that adopt it will ship faster, sleep better, and outpace those still wiring together legacy tools," said Prabhat Sharma, founder and CEO, OpenObserve. "With Observability 3.0, companies can move from firefighting to proactive autonomous operations and get back to building the products that drive their businesses forward." OpenObserve is used by more than 6,000 organizations, including many Fortune 100 companies. The open-source project has 18,000 GitHub stars, showing strong developer adoption. The new AI capabilities come as OpenObserve accelerates its commercial expansion following a recent $10 million Series A financing led by Nexus Venture Partners and Dell Technologies Capital. "Legacy observability stacks weren't built for AI-scale telemetry, and that's creating real friction. Telemetry volumes are growing roughly 30% year over year, yet 75% of organizations still rely on 6 to 15 tools, leading to fragmentation and blind spots," said Paul Nashawaty, Principal Analyst and Practice Lead at theCUBE Research. "Vendors responding with 'data diets' are solving the wrong problem; engineering teams need more contextual, correlated telemetry, not less, to diagnose issues in AI-driven environments. This is driving a shift to unified observability, where a shared telemetry layer replaces stitched-together tools. Ultimately, it's leading to autonomous operation, AI-driven SRE models such as OpenObserve's where systems surface root cause and act, instead of teams manually triaging incidents."

OpenObserve raises $10 million Series A to accelerate AI-native observability. * 1 hr ago OpenObserve, the modern observability platform delivering 140x lower storage costs with zero database management, today announced a $10 million Series A financing round led by Nexus Venture Partners and Dell Technologies Capital. Both lead investors participated in the company's seed round and preemptively funded this round, driven by their strong conviction in the company's momentum and enterprise traction. The OpenObserve team Over 6,000 organizations - including many of the Fortune 100 - are actively using OpenObserve's open-source platform. OpenObserve's open-source project has over 18,000 GitHub stars, reflecting strong developer adoption. This traction positions OpenObserve as the new standard observability substrate for the AI era. Legacy platforms like the "Prometheus-Grafana" and ELK stacks force organizations to split observability across multiple tools, imposing data retention limits and requiring context switching between interfaces to get a complete picture. OpenObserve replaces that fragmentation with a single high-performance platform that ingests logs, metrics and traces, as well as real user monitoring (RUM), pipelines, visualization, incident management, anomaly detection and more, while applying embedded AI to understand and act upon these inputs in real time. OpenObserve's new suite of AI capabilities includes an AI site reliability engineer (AI-SRE), an autonomous layer that transforms raw telemetry into operational intelligence, without requiring engineering teams to manually sort signal from noise. Also included in that suite are MCP support and LLM observability, making AI monitoring and evals another layer that OpenObserve supports on top of frontend, backend, API, network, servers, security, and more. "We simplify the complexity of the AI-native world with a single, high-performance observability platform that transforms raw telemetry into autonomous action," said Prabhat Sharma, founder and CEO of OpenObserve. "This enables companies to move from firefighting to proactive, autonomous operations, Observability 3.0, and build the products that drive their businesses forward." The new capital will be used to scale go-to-market actions and to support a growing customer base. The company will build on recent expansions including OpenObserve's Observability 3.0 vision of predictive analytics and autonomous observability, increased regional footprint with new availability in the U.S. West and the European Union, and added hosting support on Microsoft Azure. The company has also named Shani Shoham chief revenue officer to lead the commercial expansion. "When we led OpenObserve's seed round, we believed the observability stack was overdue for reinvention," said Abhishek Sharma, partner at Nexus Venture Partners. "What Prabhat and the OpenObserve team have built since then - in terms of customer traction, architectural differentiation, and a futuristic AI roadmap - has not only validated that belief but positioned the company as a category-defining force in modern observability." "We talk to enterprise customers every day and they are drowning in data in this AI/agent-first world. They need actionable insights, true, but what they're looking for now are autonomous solutions that measurably lighten workloads," said Deepak Jeevankumar, Managing Director at Dell Technologies Capital. "Prabhat has been focused on that future since day one of OpenObserve. With what's been accomplished so far, our conviction in this team just continues to grow." About OpenObserve OpenObserve is the open-source modern observability platform that unifies logs, metrics, traces and real user monitoring with 140x lower storage costs and zero database management. Built on S3-native Parquet architecture, OpenObserve delivers enterprise-grade observability without the operational complexity and escalating costs of legacy platforms. Founded in 2022 and based in Menlo Park, California, OpenObserve serves customers globally. Media gallery

OpenObserve expands global cloud footprint in north america and europe. 23 Marzo 2026 SAN FRANCISCO-(BUSINESS WIRE)-#B2B-OpenObserve, the high-performance observability platform built for petabyte-scale workloads, today announced a significant expansion of its global footprint. To meet the demands of enterprises requiring localized data residency and reduced latency, OpenObserve Cloud is now generally available in two new major regions: US West 2 (California) and EU-Central 1 (Frankfurt). Scaling with the Modern Enterprise OpenObserve is a cloud-native, unified observability platform that allows teams to store, search, and analyze logs, metrics, and traces in a single pane of glass. By leveraging a Rust-based architecture and S3-native storage, OpenObserve delivers up to 140x lower storage costs than traditional "index-heavy" alternatives, enabling teams to analyze 100% of their data without the burden of prohibitive costs. Already ingesting petabytes of data across its current footprint, OpenObserve is expanding into these two new regions as part of a growth trajectory expected to double total ingestion volumes over the next 12 months. With this expansion, OpenObserve is empowering organizations to localize their telemetry data, reduce latency, and simplify procurement through native cloud marketplace integrations. Enhanced Performance and Data Residency This geographic expansion is a direct response to the needs of organizations operating in highly regulated industries or those managing high-velocity data streams that require local processing. * US West 2 (California): This new presence addresses a critical need for West Coast-based enterprises, providing sub-millisecond ingestion for local workloads and ensuring California-specific data handling requirements are met by keeping telemetry within regional boundaries. * EU-Central 1 (Frankfurt): OpenObserve is strengthening its European footprint to support customers across the DACH region and the broader EU. This expansion is designed for organizations that prioritize strict data sovereignty and seamless compliance with GDPR regulations. "Our mission has always been to make observability accessible and more efficient at any scale," said Prabhat Sharma, CEO of OpenObserve. "By expanding into US-West 2 and EU-Central 1, we are providing the localized infrastructure necessary to support our rapidly growing customer base and the massive, petabyte-scale workloads they bring to us every day." Availability and Getting Started Both the US West 2 and EU-Central 1 regions are available immediately for all OpenObserve Cloud customers. About OpenObserve OpenObserve is a cloud-native observability platform that unifies logs, metrics, and traces at a fraction of the cost of legacy solutions. Built for the modern scale of data, OpenObserve provides deep insights and AI-assisted troubleshooting without the complexity of traditional architectures.