As ClickHouse expands its platform to help developers build, observe, and secure modern applications, the new ClickHouse Observability service brings full-fidelity telemetry, AI-driven investigations, and affordable long-term retention to a fully managed, serverless offering.
Now in public beta, ClickHouse Observability combines full-fidelity telemetry, fast concurrent queries, and affordable long-term retention in a serverless service that helps SREs and their agents resolve failures faster.
ClickHouse is a leading data platform that enables organizations to build fast, scalable, and cost-efficient applications. Powered by its high-performance, open-source analytical database, ClickHouse helps developers process and query massive volumes of data with sub-second latency. Organizations around the world rely on ClickHouse to power real-time analytics, observability, data warehousing, and AI applications at scale.
Today, ClickHouse announced the public beta of ClickHouse Observability, a turnkey, serverless observability solution for site reliability engineers (SREs) and their AI agents available on ClickHouse Cloud. Using ClickHouse Observability, customers send OpenTelemetry data to one managed endpoint, and ClickHouse handles the rest.
ClickHouse Observability makes it affordable to retain detailed logs, metrics, and traces for longer, without sampling or roll-ups to control costs. Engineers can investigate rare failures, compare historical patterns, and identify affected users across high-cardinality telemetry. Fast, concurrent queries let SREs and agents explore possible causes in parallel, with the evidence and history needed to reach the root cause.
The service brings search, dashboards, alerts, trace investigation, session replay, and collaborative AI notebooks into one experience. Teams can also connect their preferred agents, models, and frameworks through the Model Context Protocol (MCP) and SQL. Purpose-built investigation tools bring production telemetry alongside code, runbooks, and operational context, while engineers guide agentic investigations and review the findings.
“Engineers and agents need complete evidence to understand production failures,” said Mike Shi, head of Observability. “ClickHouse Observability makes that evidence affordable to retain and fast to investigate. We manage the platform so teams can focus on resolving incidents, using the tools and agents they choose, while they benefit from the performance, scalability, and cost efficiency of ClickHouse.”
The service builds on ClickHouse’s established role in observability at companies including OpenAI, DoorDash, Netflix, LinkedIn, Shopify, Mercado Libre, and Clever. After moving its logging workload to ClickHouse Cloud, Clever increased the proportion of logs indexed from 10% to 100% and extended searchable retention from three to 60 days, at no additional cost.
Part of the expanding ClickHouse platform
The launch of ClickHouse Observability is part of a broader expansion of the ClickHouse platform for building, observing, and securing modern applications. Alongside the general availability of Managed Postgres and the introduction of ClickHouse Security, ClickHouse is bringing transactional, analytical, observability, and security workloads together on a platform built for performance, scale, and cost efficiency. Each offering addresses a distinct workload while benefiting from ClickHouse’s high-performance data infrastructure.
Availability
ClickHouse Observability is available in public beta with usage-based pricing. ClickStack, ClickHouse’s open-source observability stack, remains available as an open-source project.
About ClickHouse
ClickHouse is the company behind the open source columnar database built for fast analytics at scale. Its database and managed cloud platform support real-time analytics, observability, data warehousing, and AI applications. ClickHouse Observability, powered by open source ClickStack, brings the engine’s query performance and cost efficiency to a fully managed service for SREs and their agents. Across its offerings, ClickHouse helps teams analyze growing volumes of data, investigate production systems, and build data-intensive applications. For more information, visit clickhouse.com.
