dstack
sealed-secrets
dstack | sealed-secrets | |
---|---|---|
17 | 71 | |
1,131 | 7,204 | |
6.2% | 1.9% | |
9.8 | 9.1 | |
about 18 hours ago | 6 days ago | |
Python | Go | |
Mozilla Public 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.
dstack
-
Pyinfra: Automate Infrastructure Using Python
We build a similar tool except we focus on AI workloads. Also support on-prem clusters now in addition to GPU clouds. https://github.com/dstackai/dstack
-
Show HN: Open-source alternative to HashiCorp/IBM Vault
Not exactly this, but something related. At https://github.com/dstackai/dstack, we build an alternative to K8S for AI infra.
-
Ask HN: How does deploying a fine-tuned model work
You can use https://github.com/dstackai/dstack to deploy your model to the most affordable GPU clouds. It supports auto-scaling and other features.
Disclaimer: Iām the creator of dstack.
- FLaNK Stack Weekly 19 Feb 2024
-
Show HN: I Built an Open Source API with Insanely Fast Whisper and Fly GPUs
Great job on the project! It looks fantastic. Thanks to your post, I discovered Fly's GPUs. We are currently developing a platform called https://github.com/dstackai/dstack that enables users to run any model on any cloud. I am curious if it would be possible to add support for Fly.io as well. If you are interested in collaborating on this, please let me know!
- Show HN: Dstack ā an open-source engine for running GPU workloads
-
[P] I built a tool to compare cloud GPUs. How should I improve it?
I also noticed that the creator of this app, dstack, is affiliated with Tensordock, the top results for most if not all queries. If that's the case, perhaps a direct link to the cheapest machine could be provided? I haven't used Tensordock, so I don't know if this is mechanically possible.
-
Running dev environments and ML tasks cost-effectively in any cloud
Here's the repository with all the important links, including documentation, examples, and more: https://github.com/dstackai/dstack
-
Dstack Hub
Hey everyone, I'm happy to release dstack Hub, an open-source tool that helps teams manage their ML workflows more effectively without vendor lock-in.
dstack Hub extend dstack [1] with workflow scheduling capabilities and user management. Here's how it works: run dstack Hub via Docker, use its UI to configure projects and cloud credentials, then pass the URL and personal token to the dstack CLI. Now, you can run workflows through the CLI and Hub will orchestrate them in the cloud on your behalf.
This is a beta release and we plan to continuously improve it. We'd love to hear your feedback and answer any questions!
[1] https://github.com/dstackai/dstack
-
Running Stable Diffusion Locally & in Cloud with Diffusers & dstack
To help you overcome this challenge, we have written an article to guide you through the simple steps of using both diffusers and dstack to generate images from prompts, both locally and in the cloud, using a simple example.
sealed-secrets
-
Introduction to the Kubernetes ecosystem
External-Secrets Operator : A Kubernetes operator that integrates external secret management systems like AWS Secrets Manager, HashiCorp Vault, Google Secrets Manager, and many more. The operator reads information from external APIs and automatically injects the values into a Kubernetes Secret (Alternatives : Vault, SOPS, Sealed Secrets)
-
Show HN: Open-source alternative to HashiCorp/IBM Vault
I like sealed secrets (https://github.com/bitnami-labs/sealed-secrets) a lot. It's like 1Password, but for apps in kubernetes. You only need to secure a private key, and can throw encrypted secrets in a public github repo or anywhere you want.
It's owned by VMware (Broadcom) now, so you have to decide which company you hate more.
-
Deploy Secure Spring Boot Microservices on Amazon EKS Using Terraform and Kubernetes
If you have noticed, you are setting secrets in plain text on the application-configmap.yml file, which is not ideal and is not a best practice for security. The best way to do this securely would be to use AWS Secrets Manager, an external service like HashiCorp Vault, or Sealed Secrets. To learn more about these methods see the blog post Shhhh... Kubernetes Secrets Are Not Really Secret!.
-
Plain text Kubernetes secrets are fine
Yeah documentation is hard and I'm guilty (as a former maintainer of SealedSecrets)
SealedSecrets was designed with "write only" secrets in mind.
Turns out a lot of people need to access the current secrets because they need to update a part of a "composite" secret.
There are two kinds of "composite" secrets, one easy and one harder, but if you don't know how to do it, even the easier is hard:
1. Secret with multiple data "items" (also called keys in K8s Secret jargon but that's confusing when there is encryption involved). I.e. good old "data":{"foo": "....", "bar": "..."}
2. Secrets where data within one item is actually a config file with cleartext and secrets mixed up in one single string (usually some JSON or YAML or TOML)
Case 1 is "easy" to deal with once you realize that sealed secrets files are just text files and you can just manually merge and update encryoted data items. We even created a "merge" and some "raw" encryption APIs to make that process a little less "copy pasta" but it's still hard to have a good UX that works for everyone.
Case 2 is harder. We did implement a data templating feature that allows you to generate a config file via a go-template that keeps the cleartext parts in clear and uses templating directives to inject the secret parts where you want (referencing the encrypted the items)
The main problem with case 2 is that it's undocumented.
The feature landed in 2021:
https://github.com/bitnami-labs/sealed-secrets/pull/580
I noticed that people at my current $dayjob used sealed secrets for years and it took me a while to understand that the reason they hated it was that they didn't know about that fundamental feature.
And how to blame them!? It's still undocumented!
In my defense I spent so much effort before and after I left VMware to lobby so that the project got the necessary staffing so it wouldn't die of bitrot that I didn't have much time left to work on documentation. Which is a bit said and probably just an excuse :-)
That said, I'm happy that the project is alive and the current maintainers are taking care of it against the forces of entropy. Perhaps some doc work would be useful too. Unfortunately I don't have time for now.
- Storing secrets in distributed binaries?
-
Weekly: Questions and advice
This might be OT, and forgive me, but I think one of the best practices for Encrypting and Managing secrets in Kubernetes is to use Sealed Secrets, they allow your secrets to be securely stored in git with the rest of the configuration and yet no one with access to the Git repository will be able to read them. I say this might be OT, because Sealed Secrets are trying to mitigate a different threat, the threat of the secrets at rest somewhere, and not "live in the cluster", where in theory all the ingredients to decrypt the secrets would still live.
-
Want advice on planned evolution: k3os/Longhorn --> Talos/Ceph, plus Consul and Vault
The addition of Consul and Vault gives me a few things. For one, right now I'm handling secrets with a mixture of SOPS and Sealed Secrets. I use Vault in my professional life, and have used both Vault and Consul at my last job. Vault is a beast, so I may as well get better at it; plus its options for secret injection are better.
- Homebrew 4.0.0 release
-
How to Deploy and Scale Strapi on a Kubernetes Cluster 1/2
Use Sealed Secrets Operator.
-
Secret Management in Kubernetes: Approaches, Tools, and Best Practices
sealed-secrets (sealed)
What are some alternatives?
msdocs-python-django-azure-container-apps - Python web app using Django that can be deployed to Azure Container Apps.
vault-secrets-operator - Create Kubernetes secrets from Vault for a secure GitOps based workflow.
dstack-examples - A collection of examples demonstrating how to use dstack
sops - Simple and flexible tool for managing secrets
zenml - ZenML š: Build portable, production-ready MLOps pipelines. https://zenml.io.
Vault - A tool for secrets management, encryption as a service, and privileged access management
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
kubernetes-external-secrets - Integrate external secret management systems with Kubernetes
lambdapi - Serverless runtime environment tailored for code produced by LLMs. Automatic API generation from your code, support for multiple programming languages, and integrated file and database storage solutions.
helm-secrets - A helm plugin that help manage secrets with Git workflow and store them anywhere
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
argocd-vault-plugin - An Argo CD plugin to retrieve secrets from Secret Management tools and inject them into Kubernetes secrets