argo
sops
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argo | sops | |
---|---|---|
43 | 150 | |
14,282 | 15,069 | |
1.5% | 2.4% | |
9.8 | 9.2 | |
1 day ago | 10 days ago | |
Go | Go | |
Apache License 2.0 | Mozilla Public 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.
argo
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StackStorm – IFTTT for Ops
Like Argo Workflows?
https://github.com/argoproj/argo-workflows
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Creators of Argo CD Release New OSS Project Kargo for Next Gen Gitops
Dagger looks more comparable to Argo Workflows: https://argoproj.github.io/argo-workflows/ That's the first of the Argo projects, which can run multi-step workflows within containers on Kubernetes.
For what it's worth, my colleagues and I have had great luck with Argo Workflows and wrote up a blog post about some of its advantages a few years ago: https://www.interline.io/blog/scaling-openstreetmap-data-wor...
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Practical Tips for Refactoring Release CI using GitHub Actions
Despite other alternatives like Circle CI, Travis CI, GitLab CI or even self-hosted options using open-source projects like Tekton or Argo Workflow, the reason for choosing GitHub Actions was straightforward: GitHub Actions, in conjunction with the GitHub ecosystem, offers a user-friendly experience and access to a rich software marketplace.
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(Not) to Write a Pipeline
author seems to be describing the kind of patterns you might make with https://argoproj.github.io/argo-workflows/ . or see for example https://github.com/couler-proj/couler , which is an sdk for describing tasks that may be submitted to different workflow engines on the backend.
it's a little confusing to me that the author seems to object to "pipelines" and then equate them with messaging-queues. for me at least, "pipeline" vs "workflow-engine" vs "scheduler" are all basically synonyms in this context. those things may or may not be implemented with a message-queue for persistence, but the persistence layer itself is usually below the level of abstraction that $current_problem is really concerned with. like the author says, eventually you have to track state/timestamps/logs, but you get that from the beginning if you start with a workflow engine.
i agree with author that message-queues should not be a knee-jerk response to most problems because the LoE for edge-cases/observability/monitoring is huge. (maybe reach for a queue only if you may actually overwhelm whatever the "scheduler" can handle.) but don't build the scheduler from scratch either.. use argowf, kubeflow, or a more opinionated framework like airflow, mlflow, databricks, aws lamda or step-functions. all/any of these should have config or api that's robust enough to express rate-limit/retry stuff. almost any of these choices has better observability out-of-the-box than you can easily get from a queue. but most importantly.. they provide idioms for handling failure that data-science folks and junior devs can work with. the right way to structure code is just much more clear and things like structuring messages/events, subclassing workers, repeating/retrying tasks, is just harder to mess up.
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what technologies are people using for job scheduling in/with k8s?
Argo Workflows + Argo Events
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What are some good self-hosted CI/CD tools where pipeline steps run in docker containers?
Drone, or Tekton, Argo Workflows if you’re on k8s
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job scheduling for scientific computing on k8s?
Check out Argo Workflows.
- Orchestration poll
- What's the best way to inject a yaml file into an Argo workflow step?
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Which build system do you use?
go-git has a lot of bugs and is not actively maintained. The bug even affects Argo Workflow, which caused our data pipeline to fail unexpectedly (reference: https://github.com/argoproj/argo-workflows/issues/10091)
sops
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Pico.sh – Hacker Labs
My script just sets up default .sops.yaml for https://github.com/getsops/sops
You can further edit .sops.yaml(eg have multiple of them) and decide how you split secrets in your directory tree to further customize who can decrypt the secrets.
It works pretty well for prod/dev splits, etc
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Encrypting your secrets with Mozilla SOPS using two AWS KMS Keys
Mozilla SOPS (Secrets OPerationS) is an open-source command-line tool for managing and storing secrets. It uses secure encryption methods to encrypt secrets at rest and decrypt them at runtime. SOPS supports a variety of key management systems, including AWS KMS, GCP KMS, Azure Key Vault, and PGP. It's particularly useful in a DevOps context where sensitive data like API keys, passwords, or certificates need to be securely managed and seamlessly integrated into application workflows.
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An opinionated template for deploying a single k3s cluster with Ansible backed by Flux, SOPS, GitHub Actions, Renovate, Cilium, Cloudflare and more!
Encrypted secrets thanks to SOPS and Age
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Tracking SQLite Database Changes in Git
We do the exact same thing to keep track of some credentials we use sops[1] and AWS KMS to separate credentials by sensitivity, then use the git differ to view the diffs between the encrypted secrets
Definitely not best practice security-wise, but it works well
[1] https://github.com/getsops/sops
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The Twelve-Factor App
For anyone new to SOPS like I was - https://github.com/getsops/sops
- Storing and managing private keys
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Show HN: Shello – Wrangle Environment Variables
I've found this is largely solved by strictly separating plain config and secrets, and then having secrets pull from GCP secret manager / vault / whatever.
You can then commit all the config (including the secret identifiers) and it all just works so long as you're authenticated with your secret storage system.
We do this for the live configuration as well in line with Gitops and find it to work well.
If you don't want to use a cloud secret manager you can also use something like https://github.com/getsops/sops to commit the encrypted secrets safely
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Check your secrets into Git [video]
Basically, the simpler the better --just encrypt your secrets and check them in to version control.
We use SOPS[0] for this, and have found it to be pretty nice.
[0]: https://github.com/getsops/sops
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How to secure secrets of docker-compose stacks with git?
The answer is that secrets shouldn't be stored in the git repo at all, but somewhere safe like a password manager or Mozilla's SOPS which people seem to love.
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Is it safe to commit a Terraform file to GitHub?
Unfortunately, the SOPS project is in some sort of a limbo state and there has been quite a long period with limited maintenance and unclear position from Mozilla. Despite the project being accepted into the CNCF, it's still unclear what will happen with it going forward.
What are some alternatives?
temporal - Temporal service
sealed-secrets - A Kubernetes controller and tool for one-way encrypted Secrets
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
Vault - A tool for secrets management, encryption as a service, and privileged access management
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
age - A simple, modern and secure encryption tool (and Go library) with small explicit keys, no config options, and UNIX-style composability.
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
git-crypt - Transparent file encryption in git
StackStorm - StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html
terraform-provider-sops - A Terraform provider for reading Mozilla sops files
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
vault-secrets-operator - Create Kubernetes secrets from Vault for a secure GitOps based workflow.