Hello CloudMakers!

Since the holidays are now far behind us and we are all back to work, hopefully recharged, what could be better than starting a new season of technology challenges by learning some new tools that can perhaps solve some of the problems we have been carrying around for some time? In this issue we go full-tech with a number of useful tools for cloud-native applications developers!

We shall see:

• a Kubernetes tool to test API inside a cluster

• why and how to leave Docker and migrate to Podman

• a super cool tool to have a mock AWS environment to test your application locally

• 💥 BREAKING NEWS: Azure OpenAI Service now in GA

Enjoy!

API Testing in Kubernetes with Postman and Testkube

When it comes to API testing, users typically have more than a difficulty: schemas and protocols not fully documented, differences in the various environments, the need to test several versions, access to the environments may be restricted... Creating a test suite capable of effectively validating your API is difficult enough, without all the obstacles that contemporary infrastructure erects in your path.

The easiest way to guarantee accurate tests that enable you to get around connectivity problems with your cluster is to run tests from inside your cluster. You can quickly initiate these tests in your CI/CD or by using the more user-friendly UI of Testkube to better understand your tests' status.

Testkube is a developer-friendly test executor that supports Postman collections as well as 11+ more tools, platforms, and plugins, so you can centralize your test orchestration and reporting on a single UI. Use tools like Cypress or k6 to seamlessly switch between API, UI, load tests, and more for really comprehensive Kubernetes testing.

Ultimate Docker to Podman Migration Guide: It’s NOT difficult

Are you looking for an alternative to Docker for deploying and managing containers? If so, then Podman could be the answer. Podman is an open-source container engine that provides a secure and efficient way to manage containers. Unlike Docker, Podman does not require a daemon process to be running in order to use containers, making it more lightweight and secure. Additionally, Podman supports all the major container formats as well as a wide range of features such as image signing and security scanning (still curious about further motivations? You can learn more here).

Not sure where to start to migrate? This article has all the answers.

Setup a mock AWS locally using Localstack

Have you ever found yourself needing to develop and test applications locally before they are deployed to production? If so, then Localstack could be the answer to your prayers. Localstack is an open-source development tool that allows developers to spin up a local, fully-managed environment on their own computer, complete with a suite of AWS cloud services. With Localstack, you can develop and test your applications without having to worry about provisioning or managing infrastructure! Have you ever tried it? Give it a look!

General availability of Azure OpenAI Service expands access to large, advanced AI models with added enterprise benefits

Microsoft has just announced the general availability of Azure OpenAI Service, which allows businesses to power their apps with large-scale AI models.

"With Azure OpenAI Service now generally available", it is stated in the announcement, "more businesses can apply for access to the most advanced AI models in the world - including GPT-3.5, Codex, and DALL•E 2 - backed by the trusted enterprise-grade capabilities and AI-optimized infrastructure of Microsoft Azure, to create cutting-edge applications. Customers will also be able to access ChatGPT - a fine-tuned version of GPT-3.5 that has been trained and runs inference on Azure AI infrastructure - through Azure OpenAI Service soon."

What do you think about it? Will it be a game changer for Azure and, more importantly, a big challenge for the other cloud providers?

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