mazzle VS dhall-kubernetes

I've been experimenting with alternative pipeline syntaxes.

One example is using Graphviz graph files as an execution plan for software deployments. You can see a graph here:

https://github.com/samsquire/mazzle/blob/master/docs/archite...

I wrote code with networkx to parse this graph dot file and then follow the plan topologically, spinning up packer, terraform, bash scripts, compilation and so on. It also executes graph nodes in parallel where it can.

I talk about it here https://devops-pipeline.com/

My problem with bash pipelines is passing data along and referring to previous steps' data. You kind of need to enrich the data that goes along the pipeline.

I use Graphviz dot syntax to configure entire cloud computing environments in the order they must be built. This is pipelines as code and infrastructure as code

It's very powerful! Not every organisation can bring up an entire environment with one command.

Here is a executable diagram of a build worker cloud nodes, Kubernetes, consul, vault, Debian package server, Java app, SSH bastion, Prometheus, grafana, DNS and security groups.

https://github.com/samsquire/mazzle/blob/master/docs/archite...

The tool also parallelises the build based on the graph so packer builds can run in parallel.

https://devops-pipeline.com/

It also has a GUI but it's not ready for other people to use.

I use a tool I wrote to layer my infrastructure with layers called components and I configure it with a Graphviz file.

My tool, called mazzle (previously devops-pipeline) would run parts of the graph that can run in parallel in parallel. It can also run parts of the build on SSH workers. You bring up the workers at the beginning of the build.

Here's an example of a graph generated from graphviz file: https://github.com/samsquire/mazzle/blob/master/docs/archite...

This graph brings up a hashicorp vault server, Java application, bastion proxy etc.

here's the graphviz file: https://github.com/samsquire/mazzle-starter/blob/master/arch...

It describes the ordering of the infrastructure, the invocation of Ansible, packer, shell scripts to set up vault etc.

The idea is to be able to bring up a new environment by changing one parameter. There's a React GUI too.

https://devops-pipeline.com

I hate yaml with a passion. It marginally better than xml for reading (wins huge on comment syntax) and worse for everything else. It makes zero sense we somehow ended up with it as standard configuration serialization format.

Note yaml is not a DSL. It's a tree serialization format! Everything interesting is happening after it is parsed. Extreme examples point to e.g. github actions conditions.

Anyway, back on topic - maybe not prolog for CDK, but still quite interesting: Dhall-kubernetes - https://github.com/dhall-lang/dhall-kubernetes

At this point, if it’s painful enough, why isn’t compiling-to-yml tools more popular?

Example: https://github.com/dhall-lang/dhall-kubernetes

Haven’t used dhall myself but I’d definitely prefer a DSL on top of yaml.

Dhall provides https://github.com/dhall-lang/dhall-kubernetes which is exactly this: statically type-checked kubernetes config generation.

Dhall is my favorite configuration language that I never get around to using.

I manage DNS in Terraform, and since every Terraform provider uses different objects definitions, and every object definition is rather verbose, Dhall would be a way to specify my own DRY types and leave the provider-specific details in one place. Adding new DNS entries and moving several domains between providers would be a matter of changing fewer lines.

Dhall also has Kubernetes bindings:

https://github.com/dhall-lang/dhall-kubernetes

Although I'm tempted to just stick to Helm here, even though it's less type-safe.

Not Helm directly, but does something like Dhall fit your question? https://github.com/dhall-lang/dhall-kubernetes

Have you heard about Dhall? It’s a programming language used for generating configuration files for a variety of purposes. One of them is to replace old and limited formats such as JSON and YAML. It is DRYable, secure, and even suitable for creating K8s manifests. The latter option isn’t something for anyone: you have to learn a new language and deal with its peculiarities, but it might be really helpful when you have tons of YAML configs. I’ve recently made a short intro to Dhall for K8s in this review.

Best thing is Dhall that I am aware of. Same situation, working as a consultant, forced to use broken things.

https://github.com/dhall-lang/dhall-kubernetes

Lets look at a specific example. Take Kubernetes: everything is yaml, with complete schemas, all the way down. From your perspective this is configuration utopia, right? Meanwhile back in reality k8s is the poster child of "yaml hell". From the day it was released, people took one look at it, gave it a giant NOPE and instantly spawned half a dozen templating languages. The most popular of these is helm, which has a terrible, no good, very bad design: full of potential injection attacks from purely textual string substitution, manually specified indentation to embed parameterized blocks, virtually no intermediate validation, no way to validate unused features, etc etc

Compare to dhall which publishes a complete set of dhall-k8s schema mappings which enables you to factor out any design you want down to as few configuration variables as you like, while validating the configuration generators themselves at design time. https://github.com/dhall-lang/dhall-kubernetes#more-modular-...

The solution I like is Dhall. They even have a Kubernetes solution that will catch a lot of issues at compile-time, before you try to apply it to Kubernetes. At earthly we aren't actually using it though. Our Kubernetes guru found it to be a bit slow but I am hopeful it or something like it will be the future.