velero
Concourse
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velero | Concourse | |
---|---|---|
42 | 46 | |
8,132 | 7,141 | |
2.0% | 0.7% | |
9.6 | 9.1 | |
7 days ago | 7 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
velero
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What is the proper, kubernetes native way of working with multiple clusters for DR, HA?
Openshift last I looked used Velero under the covers for the functionality, which works fine in standard kubernetes. Most if not all that Openshift does is Open source.
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Is there a way to clone an existing Azure Kubernetes Cluster?
Valero
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Tool for dumping manifests from your Kubernetes clusters
While not discounting OP or the work in this repo (seems like a fun k8s/go project), folks might check out Velero for this purpose if they're looking to rely on this kind of export in prod: https://github.com/vmware-tanzu/velero
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Kubernetes postgres backups
For Kubernetes-land, https://velero.io/ is awesome - but I haven't used it for online-database backups yet. If you're exploring, I'd checkout Velero - if you just need something to work reliably, I'd checkout Percona.
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(Longhorn/K3s) Failed cluster, made new cluster, are PVs salvageable?
You can also leverage https://velero.io/ to backup both cluster state and pvc state to s3
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How to backup / snapshot and restore full EKS cluster(s)?
I use this https://velero.io and it works great.
- Multi cluster vs namespaces
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BorgBackup, Deduplicating archiver with compression and encryption
I'm using Velero to do this in my toy kubernetes clusters. It uses Restic under the hood and can store things into S3. By default it will take a filesystem-level copy of whatever is on a pv. It looks like it supports hooks, e.g. to run pg_backup like you mentioned, but I haven't used them.
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convert storageclasses of existing PVs
Check out https://velero.io
- automated volume snapshots in gke
Concourse
- The worst thing about Jenkins is that it works
- Show HN: Togomak – declarative pipeline orchestrator based on HCL and Terraform
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GitHub Actions could be so much better
> Why bother, when Dagger caches everything automatically?
The fear with needing to run `npm ci` (or better, `pnpm install`) before running dagger is on the amount of time required to get this step to run. Sure, in the early days, trying out toy examples, when the only dependencies are from dagger upstream, very little time at all. But what happens when I start pulling more and more dependencies from the Node ecosystem to build the Dagger pipeline? Your documentation includes examples like pulling in `@google-cloud/run` as a dependency: https://docs.dagger.io/620941/github-google-cloud#step-3-cre... and similar for Azure: https://docs.dagger.io/620301/azure-pipelines-container-inst... . The more dependencies brought in - the longer `npm ci` is going to take on GitHub Actions. And it's pretty predictable that, in a complicated pipeline, the list of dependencies is going to get pretty big - at least a dependency per infrastructure provider we use, plus inevitably all the random Node dependencies that work their way into any Node project, like eslint, dotenv, prettier, testing dependencies... I think I have a reasonable fear that `npm ci` just for the Dagger pipeline will hit multiple minutes, and then developers who expect linting and similar short-run jobs to finish within 30 seconds are going to wonder why they're dealing with this overhead.
It's worth noting that one of Concourse's problems was, even with webhooks setup for GitHub to notify Concourse to begin a build, Concourse's design required it to dump the contents of the webhook and query the GitHub API for the same information (whether there were new commits) before starting a pipeline and cloning the repository (see: https://github.com/concourse/concourse/issues/2240 ). And that was for a CI/CD system where, for all YAML's faults, for sure one of its strengths is that it doesn't require running `npm ci`, with all its associated slowness. So please take it on faith that, if even a relatively small source of latency like that was felt in Concourse, for sure the latency from running `npm ci` will be felt, and Dagger's users (DevOps) will be put in an uncomfortable place where they need to defend the choice of Dagger from their users (developers) who go home and build a toy example on AlternateCI which runs what they need much faster.
> I will concede that Dagger’s clustering capabilities are not great yet
Herein my argument. It's not that I'm not convinced that building pipelines in a general-purpose programming language is a better approach compared to YAML, it's that building pipelines is tightly coupled with the infrastructure that runs the pipelines. One aspect of that is scaling up compute to meet the requirements dictated by the pipeline. But another aspect is that `npm ci` should not be run before submitting the pipeline code to Dagger, but after submitting the pipeline code to Dagger. Dagger should be responsible for running `npm ci`, just like Concourse was responsible for doing all the interpolation of the `((var))` syntax (i.e. you didn't need to run some kind of templating before submitting the YAML to Concourse). If Dagger is responsible for running `npm ci` (really, `pnpm install`), then it can maintain its own local pnpm store / pipeline dependency caching, which would be much faster, and overcome any shortcomings in the caching system of GitHub Actions or whatever else is triggering it.
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We built the fastest CI in the world. It failed
> Imagine you live in a world where no part of the build has to repeat unless the changes actually impacted it. A world in which all builds happened with automatic parallelism. A world in which you could reproduce very reliably any part of the build on your laptop.
That sounds similar to https://concourse-ci.org/
I quite like it, but it never seemed to gain traction outside of Cloud Foundry.
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What are some good self-hosted CI/CD tools where pipeline steps run in docker containers?
+1 to GitLab on-prem. If that is too heavy just for the CI/CD, there are a bunch of tools, e.g. https://github.com/concourse/concourse
Concourse: https://concourse-ci.org
- JSON vs XML
- Choosing a CI/CD tool for your product
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Why I joined Dagger
My first attempt was Concourse, a CI/CD system that scheduled pipelines written in declarative YAML. Choosing YAML for Concourse made it for all, but it was definitely not once; we had to constantly rework its declarative model to handle more use cases. As time went on I started to wonder if the final frontier was actually a “language for CI/CD.”
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Elm 2022, a year in review
Ableton ⬩ Acima ⬩ ACKO ⬩ ActiveState ⬩ Adrima ⬩ AJR International ⬩ Alma ⬩ Astrosat ⬩ Ava ⬩ Avetta ⬩ Azara ⬩ Barmenia ⬩ Basiq ⬩ Beautiful Destinations ⬩ BEC Systems ⬩ Bekk ⬩ Bellroy ⬩ Bendyworks ⬩ Bernoulli Finance ⬩ Blue Fog Training ⬩ BravoTran ⬩ Brilliant ⬩ Budapest School ⬩ Buildr ⬩ Cachix ⬩ CalculoJuridico ⬩ CareRev ⬩ CARFAX ⬩ Caribou ⬩ carwow ⬩ CBANC ⬩ CircuitHub ⬩ CN Group CZ ⬩ CoinTracking ⬩ Concourse CI ⬩ Consensys ⬩ Cornell Tech ⬩ Corvus ⬩ Crowdstrike ⬩ Culture Amp ⬩ Day One ⬩ Deepgram ⬩ diesdas.digital ⬩ Dividat ⬩ Driebit ⬩ Drip ⬩ Emirates ⬩ eSpark ⬩ EXR ⬩ Featurespace ⬩ Field 33 ⬩ Fission ⬩ Flint ⬩ Folq ⬩ Ford ⬩ Forsikring ⬩ Foxhound Systems ⬩ Futurice ⬩ FörsäkringsGirot ⬩ Generative ⬩ Genesys ⬩ Geora ⬩ Gizra ⬩ GWI ⬩ HAMBS ⬩ Hatch ⬩ Hearken ⬩ hello RSE ⬩ HubTran ⬩ IBM ⬩ Idein ⬩ Illuminate ⬩ Improbable ⬩ Innovation through understanding ⬩ Insurello ⬩ iwantmyname ⬩ jambit ⬩ Jobvite ⬩ KOVnet ⬩ Kulkul ⬩ Logistically ⬩ Luko ⬩ Metronome Growth Systems ⬩ Microsoft ⬩ MidwayUSA ⬩ Mimo ⬩ Mind Gym ⬩ MindGym ⬩ Next DLP ⬩ NLX ⬩ Nomalab ⬩ Nomi ⬩ NoRedInk ⬩ Novabench ⬩ NZ Herald ⬩ Permutive ⬩ Phrase ⬩ PINATA ⬩ PinMeTo ⬩ Pivotal Tracker ⬩ PowerReviews ⬩ Practle ⬩ Prima ⬩ Rakuten ⬩ Roompact ⬩ SAVR ⬩ Scoville ⬩ Scrive ⬩ Scrivito ⬩ Serenytics ⬩ Smallbrooks ⬩ Snapview ⬩ SoPost ⬩ Splink ⬩ Spottt ⬩ Stax ⬩ Stowga ⬩ StructionSite ⬩ Studyplus For School ⬩ Symbaloo ⬩ Talend ⬩ Tallink & Silja Line ⬩ Test Double ⬩ thoughtbot ⬩ Travel Perk ⬩ TruQu ⬩ TWave ⬩ Tyler ⬩ Uncover ⬩ Unison ⬩ Veeva ⬩ Vendr ⬩ Verity ⬩ Vnator ⬩ Vy ⬩ W&W Interaction Solutions ⬩ Watermark ⬩ Webbhuset ⬩ Wejoinin ⬩ Zalora ⬩ ZEIT.IO ⬩ Zettle
What are some alternatives?
drone - Gitness is an Open Source developer platform with Source Control management, Continuous Integration and Continuous Delivery. [Moved to: https://github.com/harness/gitness]
GitlabCi
woodpecker - Woodpecker is a simple yet powerful CI/CD engine with great extensibility.
Jenkins - A static site for the Jenkins automation server
Jenkins - Jenkins automation server
rook - Storage Orchestration for Kubernetes
Buildbot - Python-based continuous integration testing framework; your pull requests are more than welcome!
Laminar - Fast and lightweight Continuous Integration
k8s-object-dumper - Kubernetes object dumper for use as a pre backup command in K8up.
Go - Main repository for GoCD - Continuous Delivery server
prometheus - The Prometheus monitoring system and time series database.
Travis CI.com - Free continuous integration platform for GitHub projects.