booster VS kubernetes

⚠️The abstractions proposed in this paper will be soon implemented in booster, the algorithms proposed are proven correct in this repository. A solution to a real world problem with these abstractions will be soon shared.

The Booster version 0.24.0 is capable of creating Multi Provider Rockets. Multi-provider Rockets could include implementations for different vendors in the same npm package.

Once again the standards to the rescue. Even if we were using JWT, Booster was tightly coupled to Cognito to verify the token and get the information associated with it. We decided to extract that part and use a standard token verification inside the Booster core, which works with the JWT tokens, no matter which provider you are using.

To summarize, by writing highly semantic code and letting the machine do the heavy lifting, Booster allows you to build fully functioning real-time APIs in a breeze, making everything else work out of the box, and saving a ton of time that you can use to add new use cases, write better tests, or manage elusive corner cases.

I encourage you all to try out Booster and modeling your systems around events. Learn more by visiting Booster's website, GitHub repo, or join the conversation on the Booster Discord server!

booster Booster is a high-level framework for TypeScript to build Serverless applications with built-in business-logic-level abstractions. Booster is highly opinionated and still under heavy development so be aware of that as you explore this project. I had a look a the documentation, and it is very detailed and comprehensive. This could be a project to watch.

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.