git-secret VS kubernetes

I've happily been using git-secret (https://sobolevn.me/git-secret/) for encrypting non-critical (i.e. non-production) secrets for a while now. It sounds like Gittuf will do a lot more than git-secret, but for the use case of encrypted files specifically, is there a significant different about with the approach that Gittuf has taken?

Secrets inside the repo. All the credentials, ssh keys, VPN configs can be stored directly in the repo with support of the git secret. gpg key is optional: config works fine if it is not provided and secrets are not decrypted.

You might notice that some of the environmental variables have funky values that look more like template placeholders. For example "SESSION_STORAGE_SECRET=${SESSION_STORAGE_SECRET}". That's because there's a .env file that contains those (you can see it in the root of the GitHub repository page. As a good practice I try to isolate anything that needs to be secret right off the top. So even though this is a development setup and would need work to turn it into a something suitable for production let's try to start off right not doing the wrong thing by hardcoding all our secrets into various files. At least now there's just one file to secure. And later on if you move to something really secure like Hashicorp's Vault product, or even something open source like git secret you won't have to hunt all over the place for the secrets to keep. Lets now look at the rest of the Catalyst application setup:

Checkout git-secret. https://git-secret.io/

There‘s plugins like https://github.com/AGWA/git-crypt or https://git-secret.io that you can use to encrypt the files for yourself, so that they are available on multiple machines to you

If you really want to have private repositories in GitHub, you will need to set up something like https://git-secret.io on top of git.

If you want a low config solution and not scared of gpg, https://git-secret.io/

Hey guys, so I'm using git-secret as of now. Just stumbled across Mozilla SOPS today and finding it interesting. Which one you guys recommend and why? Advantages and disadvantages of each? I think SOPS is more robust and stable since it is being maintained by a large organization? Please correct me if I'm wrong. Help is appreciated.

In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.

Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.

Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.

"You are holding it wrong", huh?

From the homepage https://kubernetes.io/:

"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."

Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.