The archive · Developer & Business Tools · Product decision · 2022–2026
OpenObserve bets one S3-native platform can replace fragmented observability stacks
Open-source observability startup raised a $10M Series A from Nexus and Dell after 19,000 GitHub stars and 7,000+ organizations.
OpenObserve
What the business is
Open-source observability platform ingesting logs, metrics, traces and real-user monitoring into one S3-native, Rust-built system with an AI SRE layer.
Starting capital：$10M Series A led by Nexus Venture Partners and Dell Technologies Capital (announced April 2026); both had led the seed round; earlier seed amount not disclosed
How it started
Prabhat Sharma started OpenObserve in 2022, arguing observability tools were built for a different era: Prometheus and Grafana were stitched together for static infrastructure, the ELK stack predated AI-scale telemetry volumes, and commercial vendors were charging more while telling customers to ingest less data.
What happened
OpenObserve grew through open source: a single Rust binary handling logs, metrics, traces and RUM, native OpenTelemetry, SQL/PromQL querying, and free self-hosting. By the Series A in April 2026, more than 7,000 organizations ran it — including Fortune 100 companies ingesting petabytes daily — GitHub stars crossed 19,000, and the company shipped Observability 3.0 with an autonomous AI SRE, anomaly detection and LLM observability, plus new US West/EU regions and Microsoft Azure hosting.
How it ended up
Scaling: with the $10M Series A announced April 2026, OpenObserve is expanding go-to-market, added a chief revenue officer, and is positioning AI-native observability as the successor to legacy stacks; revenue and valuation not disclosed.
Background
OpenObserve is an open-source observability platform founded in 2022 by Prabhat Sharma. The premise was that the market's tools were built for a different era: Prometheus and Grafana were stitched together for static infrastructure, the ELK stack predated AI-scale telemetry volumes, and commercial vendors had become expensive, bloated and prone to putting customers on data diets instead of helping them understand data.
The answer was architectural: one high-performance platform, S3-native storage, Parquet columnar files and a single Rust binary, cutting storage costs by up to 140x versus Elasticsearch with zero database management. Teams could ingest logs, metrics, traces and real-user monitoring through one surface, query with SQL or PromQL, and self-host for free — a direct contrast to Datadog, Splunk and Elasticsearch's per-host and per-GB pricing.
By the April 2026 Series A, more than 7,000 organizations were running OpenObserve — including Fortune 100 teams and deployments ingesting over 2 PB per day — and the open-source project had crossed 19,000 GitHub stars. Nexus Venture Partners and Dell Technologies Capital, both seed investors, led the $10M round preemptively. The capital funds go-to-market expansion around Observability 3.0: an autonomous AI SRE, anomaly detection and LLM observability, alongside new US West and EU regions and Microsoft Azure hosting.
What has to be true
- Legacy stacks force teams to run 6–15 separate observability tools with data-retention limits; OpenObserve bet a single platform could end the fragmentation.
- S3-native architecture with Parquet storage cut costs up to 140x, inverting the vendor model of charging more while telling customers to ingest less.
- Open source (19,000+ stars) and enterprise adoption (7,000+ organizations, Fortune 100 customers) proved both bottom-up and top-down demand.
- AI-native features — AI SRE, anomaly detection, LLM observability — positioned it for the telemetry wave that legacy stacks weren't designed for.
What can be applied
Attack the cost line of incumbents: cutting storage 140x and removing database management made 'ingest everything' affordable, while open-source adoption and a preemptive round did the marketing.
Aftermath
As of late April 2026, OpenObserve is scaling: more than 7,000 organizations run the platform, including Fortune 100 customers and deployments ingesting over 2 PB per day, and the open-source project has crossed 19,000 GitHub stars. The $10M Series A funds go-to-market expansion with new US West and EU availability, Microsoft Azure hosting, the AI SRE and LLM observability suite, and a newly hired chief revenue officer, as the company pushes to replace the Prometheus-Grafana and ELK stacks as the default observability substrate. Revenue and valuation have not been disclosed.
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