tanka
kapitan
Our great sponsors
tanka | kapitan | |
---|---|---|
25 | 3 | |
2,234 | 1,742 | |
3.2% | 0.7% | |
8.4 | 9.1 | |
4 days ago | 8 days ago | |
Go | Python | |
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.
tanka
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Why the fuck are we templating YAML? (2019)
I would recommend implementing a similar API to Grafana Tanka: https://tanka.dev
When you "synthesise", the returned value should be an array or an object.
1. If it's an object, check if it has an `apiVersion` and `kind` key. If it does, yield that as a kubernetes object and do not recurse.
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What Is Wrong with TOML?
Maybe you'd like jsonnet: https://jsonnet.org/
I find it particularly useful for configurations that often have repeated boilerplate, like ansible playbooks or deploying a bunch of "similar-but" services to kubernetes (with https://tanka.dev).
Dhall is also quite interesting, with some tradeoffs: https://dhall-lang.org/
A few years ago I did a small comparison by re-implementing one of my simpler ansible playbooks: https://github.com/retzkek/ansible-dhall-jsonnet
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Show HN: Keep β GitHub Actions for your monitoring tools
- validation is often impractical (at least identifying exactly where the error isβ¦ Iβm looking at you Helm!)
Unrelated to OP, but you can leverage Tanka to extend helm charts with functionality not provided by upstream.
https://tanka.dev/
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Alternatives to Helm?
Although jsonette might be considered more complex Tanka is a great alternative for k8s config management.
- Helm makes it overly complex, or is it just me?
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The YAML Document from Hell
At Grafana Labs we're using jsonnet at scale, while being a powerful functional language it is also excellent for rendering JSON/YAML config. We have developed Tanka[0] to work with Kubernetes, for other purposes I can recommend this course[1] (authored by me).
[0] https://tanka.dev/
[1] https://jsonnet-libs.github.io/jsonnet-training-course/
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Should i migrate from Kustomize to Helm?
If you're hitting the limits of Kustomize, maybe look at Tanka as well.
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Is it possible to wrap Kustomize yaml with jinja2?
Yes, try Tanka.
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Using Docker β Compose in Development and Production
yes. basically. and this is a path that multiple people are trying to solve. e.g. AWS CDK8s, https://tanka.dev/, etc
Compose would be awesome.
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Google Kubernetes clusters config checker tool
http://tanka.dev
(Note I work for Grafana Labs who fund Tanka and use it for all production config)
kapitan
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Kubernetes Enthusiasts: Share Your Ideas for Future Dev Tools
https://github.com/kapicorp/kapitan is also a very powerful option for managing and generating templates.
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Would a visual drag and drop builder for K8s clusters be useful to people here?
There's a reason that other tooling is taking different approaches. Visual workflows help for understanding existing manifests - but they'd be horrible for creating/modifying new ones.
- Kapitan: Generic templated configuration management for Kubernetes, Terraform
What are some alternatives?
helm-charts - Prometheus community Helm charts
kustomize - Customization of kubernetes YAML configurations
devops-exercises - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
ytt - YAML templating tool that works on YAML structure instead of text
jinja2-cli - CLI for Jinja2
kpt - Automate Kubernetes Configuration Editing
python-terraform
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages π
djLint - β¨ HTML Template Linter and Formatter. Django - Jinja - Nunjucks - Handlebars - GoLang
kubecfg - A tool for managing complex enterprise Kubernetes environments as code.