argo-rollouts VS argo-events

Compare argo-rollouts vs argo-events and see what are their differences.

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argo-rollouts argo-events
9 8
2,499 2,238
2.7% 1.0%
9.5 9.4
about 23 hours ago 2 days ago
Go Go
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

argo-rollouts

Posts with mentions or reviews of argo-rollouts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-13.

argo-events

Posts with mentions or reviews of argo-events. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-25.

What are some alternatives?

When comparing argo-rollouts and argo-events you can also consider the following projects:

flagger - Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments)

sources-for-knative - VMware-related event sources for Knative.

Flux - Successor: https://github.com/fluxcd/flux2

argo-cd - Declarative Continuous Deployment for Kubernetes

fleet - Deploy workloads from Git to large fleets of Kubernetes clusters

argo - Workflow Engine for Kubernetes

terraform-k8s - Terraform Cloud Operator for Kubernetes

cadence - Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.

flux2 - Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.

kubewatch - Watch k8s events and trigger Handlers

configs - Config files used to define parameters specific to compute environments at different Institutions