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CDEvents

About CDEvents

CDEvents is a common specification for Continuous Delivery events. It is an incubated project at the Continuous Delivery Foundation. It defines a common language for CI/CD ecosystem events, decoupling pipeline descriptions from physical implementations. CDEvents are declarative events through which a producer sends information about an occurrence without needing knowledge of how it will be used. The specification extends the CloudEvents specification with vocabulary for CI/CD events. The project's mission is to standardize an event protocol specification for technology-agnostic machine-to-machine communication in CI/CD systems.

Used for

  • Making it possible for one CI/CD tool to consume events produced by another without static, imperative definitions.
  • Collecting events from different CI/CD tools to improve observability and metrics.
  • Connecting workflows from different systems.
  • Improving observability and auditability of workflows across disparate technology platforms.
  • Producing DevOps metrics through CDEvents.

From CDEvents's own website, read 2026-10-23. How we build listings.

How to evaluate Streaming & Real-Time Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of CDEvents. It comes from our Streaming Data & Event Processing buyer guide.

25%
Throughput, Latency & Durability
Sustained throughput and tail latency at your partition count, ordering and exactly-once / at-least-once delivery guarantees, replication and multi-AZ durability, retention limits, and behavior under broker failure and rebalancing
20%
Operating Model & Architecture
Self-managed vs. fully managed vs. serverless vs. bring-your-own-cloud, KRaft (post-ZooKeeper) operations, diskless / object-storage-backed options, autoscaling, partition rebalancing, and upgrade and patching burden on your team
20%
Kafka-API Compatibility & Portability
Fidelity of the Kafka protocol (consumer groups, transactions, compaction), reuse of existing clients, connectors and tooling, lock-in to a single cloud, and the realistic effort to migrate in or out
15%
Stream Processing & Ecosystem
Native or integrated processing (Flink, Kafka Streams, Spark Structured Streaming, ksqlDB), connector catalog (CDC, sinks, sources), schema registry and governance, and direct landing into Iceberg / Delta lakehouse tables
10%
Security, Governance & Compliance
Encryption in transit and at rest, mTLS / SASL / OAuth and RBAC, audit logging, private networking, data residency and BYOC data-boundary control, and SOC 2 / ISO 27001 / GDPR coverage
10%
Cost Model & Economics at Scale
Pricing unit (capacity / throughput / consumption), inter-AZ and egress charges, storage and retention cost, processing billed separately, and how the bill behaves as volume, partitions, and connectors grow

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

cdevents.dev
CategoryData & Analytics
SubcategoryStreaming & Real-Time Analytics

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