cloud-nuke VS kubernetes

- https://gruntwork.io/ - https://github.com/gruntwork-io

After discussing the testing approaches suggested by the two IaC providers Terraform and Pulumi, in the next post we will take a look at the dedicated IaC testing providers takes on this topic. Here we will have a look at Gruntwork and Snyk. So, stay tuned if you are interessted!

Or your working on gruntwork.io company, this is the only the thing that makes ok all what you say here. However I believe they can make better product instead of angry chat on reddit without getting in details.

Like others have said, your infra might itself be the product.

Look at https://gruntwork.io.

They’ve made a lucrative business by selling infra scripts that others can use.

And their subscription model means they keep the scripts up to date.

Have been checking out terragrunt and terratest lately(part of https://gruntwork.io)

Gruntwork | Software Engineers (Principal, Staff) | 100% Remote/US time zones | Full-time | https://gruntwork.io/

We aim to improve humanity's most important invention: Software. Our product enables software teams to launch and maintain production-grade cloud infrastructure in days, not months. We create the building blocks that devs use to make launching in AWS with infrastructure as code 10x better.

We work with AWS, K8s, Terraform, Go, Typescript, and React/Next. We’re a small team (~20 people), but our clients include Toyota, Adobe, TicketMaster, Verizon, and lots of startups.

We are profitable, self-funded (no investors, no debt), pay salaries, equity, and bonuses according to transparent formulas, and are very focused on building a company we're proud of. We are 100% remote, with 2/3 of our team in the USA and 1/3 in Europe. We have company-wide in-person meetups every few months. We welcome applicants from all backgrounds.

Our measure of a successful Grunt is (1) think like an owner, (2) make impact, (3) communicate effectively, (4) be a good person. If this sounds like you, we're hiring!

- Principal Software Engineer

- Staff Software Engineer

Learn more at https://gruntwork.io/careers/

Most people hesitate to use cloud hosted offerings for development. First of all, most providers have a generous free tier for devs, which can get you started. Secondly I recommend using tools like cloudnuke to avoid paying for cloud resources you're not using.

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.