Andrey Kolkov
38d6c4cf58
A controller-side running-Job deadline was enforced in reconcileKafka / reconcileKafkaRestore: at kafkaDefaultBackupDeadline from StartedAt the BackupJob/RestoreJob was marked Failed. But the batch Job carried no activeDeadlineSeconds and markBackupJobFailed only writes status, so the Job kept running, finished, and its final `s3 PUT` uploaded the object — while the terminal phase meant no Backup was ever created and cleanup (keyed on Backup deletion) never ran. Every timed-out run thus orphaned a uniquely-keyed object, and a cluster whose export legitimately exceeds the deadline could never produce a usable backup. The shipped docs also claimed the run "keeps the BackupJob Running ... rather than failing on a wall clock", which the deadline made false. Move the bound onto the Job as activeDeadlineSeconds (setKafkaJobDeadline): Kubernetes fails an unschedulable or wedged Job as DeadlineExceeded and kills its pod before the upload, so a timed-out run lands in the JobFailed branch cleanly and leaves no object behind. Make it operator-tunable with the `backupTimeout` BackupClass parameter (a Go duration), which round-trips through the Backup so a restore is bounded by the same value; the readiness-precondition wait honours it too. Correct the docs. Also requeue on a transient broker-image List error instead of failing the whole run: resolveKafkaBrokerImage now wraps a sentinel (errNoKafkaBroker) so only a Ready cluster with no listable broker is terminal. Tests: pin the deadline on the built Job, the backupTimeout override, a JobFailed run marking the owner Failed, and the transient-List requeue. Signed-off-by: Andrey Kolkov <androndo@gmail.com> Assisted-by: LLM
Cozystack
Cozystack is a free platform and framework for building clouds.
Cozystack is a CNCF Sandbox Level Project that was originally built and sponsored by Ænix.
With Cozystack, you can transform a bunch of servers into an intelligent system with a simple REST API for spawning Kubernetes clusters, Database-as-a-Service, virtual machines, load balancers, HTTP caching services, and other services with ease.
Use Cozystack to build your own cloud or provide a cost-effective development environment.
Use-Cases
-
Using Cozystack to build a public cloud
You can use Cozystack as a backend for a public cloud -
Using Cozystack to build a private cloud
You can use Cozystack as a platform to build a private cloud powered by Infrastructure-as-Code approach -
Using Cozystack as a Kubernetes distribution
You can use Cozystack as a Kubernetes distribution for Bare Metal
Documentation
The documentation is located on the cozystack.io website.
Read the Getting Started section for a quick start.
If you encounter any difficulties, start with the troubleshooting guide and work your way through the process that we've outlined.
Versioning
Versioning adheres to the Semantic Versioning principles.
A full list of the available releases is available in the GitHub repository's Release section.
Contributions
Contributions are highly appreciated and very welcomed!
In case of bugs, please check if the issue has already been opened by checking the GitHub Issues section. If it isn't, you can open a new one. A detailed report will help us replicate it, assess it, and work on a fix.
You can express your intention to on the fix on your own. Commits are used to generate the changelog, and their author will be referenced in it.
If you have a concrete feature request, open an issue. For a cross-cutting or architectural change, open a design proposal in the community repo. For questions or early ideas, use GitHub Discussions. See CONTRIBUTING.md for the full routing.
Community
You are welcome to join our Telegram group and come to our weekly community meetings. Add them to your Google Calendar or iCal for convenience.
License
Cozystack is licensed under Apache 2.0.
The code is provided as-is with no warranties.
Commercial Support
A list of companies providing commercial support for this project can be found on official site.