Blackbox VS kubernetes

Blackbox is a great tool for securely storing secrets within a Git repository. It provides an easy-to-use PGP encryption system, which ensures that secrets are kept safe and secure. Furthermore, Blackbox can also be used in GitHub Actions as a secret repository, allowing developers to quickly load secrets into their pipelines. With its robust security and automated processes, Blackbox is an excellent tool for securely storing secrets within Git.

One of the major concerns amongst developers is how to store shared secrets. Storing secrets in a config file along with your source code is problematic as it can compromise privacy. Storing it outside without proper process or documentation can tend to be forgotten (not saying this is not good as using SAAS tools like Vault is the way to go). But in case you have a limited budget and limited capability, using GPG is the way to go. Here comes Blackbox.

My preferred version is blackbox: https://github.com/StackExchange/blackbox

blackbox 🥇 💼 - Stack Exchange's toolkit for storing keys/credentials securely in a git repository.

For Puppet i use blackbox

Interested in making GPG easier to use for encrypting secrets in Git? https://github.com/StackExchange/blackbox is being rewritten in Go and needs help testing, improving, ensuring compatibility, etc.

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.