cdviz.dev

What It Is

CDviz is an open-source SDLC/CI/CD observability platform based on the CDEvents standard supported by the CD Foundation. It aims to aggregate delivery events from GitHub, GitLab, Kubernetes, ArgoCD, Jenkins, and other systems, store them in PostgreSQL/TimescaleDB or ClickHouse, and visualize DORA metrics, deployment timelines, test results, incidents, tickets, and more through Grafana. It emphasizes Open-Source, Self-Hosted, and No Lock-In.

Core Capabilities

Its architecture consists of three main parts: Collector, Database, and Grafana. The Collector collects and transforms events from sources such as Webhooks, SSE, Kafka, NATS, HTTP Polling, and files, and can also output them to destinations including databases, HTTP, Kafka, and NATS. Compared with polling-based tools, CDviz focuses on a push/event-driven model, where the same event stream can support dashboards while also triggering downstream automation. Dashboards mentioned in the documentation include DORA Metrics, Artifact Timeline, Execution Performance, CDEvents Activity, and Incidents & Tickets, making it suitable for tracking questions such as “which version was deployed to which environment,” “when did a service go live,” and “what is the deployment frequency.”

Pricing and Open Source

The page clearly lists Apache 2.0 and Free Forever, making it an open-source and free product. No information was found about cloud hosting, an enterprise edition, SLA, or paid support. For teams that are budget-conscious and care about data sovereignty, this is a clear advantage. However, it also means that production deployment, upgrades, monitoring, and troubleshooting will rely more heavily on the team’s own capabilities.

Pros and Cons

Its strengths include the use of open standards, self-hosting, no vendor lock-in, and good connectivity with common CI/CD tools, message queues, databases, and the Grafana ecosystem. The documentation is also fairly complete, with a getting-started guide that provides a Docker Compose demo, allowing users to launch the Collector, database, and Grafana locally within 5 minutes. The drawbacks are that the system has multiple components, and small teams need to understand its event model, transformation rules, and Grafana configuration. The reviewed text does not provide commercial support or payment information, so service guarantees are unclear.

Who It’s For and Access from China

CDviz is suitable for DevOps, SRE, platform engineering, and engineering productivity teams, especially organizations that want to self-build DORA metrics, deployment auditing, incident-change correlation, and event-driven automation. Access from China is not specified in the text, so it is considered unknown. If it depends on GitHub, Grafana images, or overseas demos, the actual experience may be affected by network conditions. Comparable alternatives include Apache DevLake, Datadog CI, Sleuth, LinearB, and Splunk.