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Everyone is talking about containers and app modernisation, right? It’s not just because it’s a trend but is actually a big improvement for DevOps team on how to work and how to optimize their time and experience on a project.

So, in this article you’ll find out more about containers, containerisation, app modernisation, an example of a solution for your business and more.

What are Containers after all?

Containers are self-contained apps that provide a standard way to package your application's code, configurations, and dependencies into a single object.

For you to quickly get an idea of where we’re heading, here is the TL;DR version about microservices, some of its main benefits and why it’s a big thing:

• Quickly scale and deliver new features and upgrades to market
• Rapidly iterate to find your next business model
• Improve and empower developer engagement

With this in mind, let’s take a step back and discuss a bit about monolithic apps, the counterpart to microservices.

Monolithic or packaged apps: why they’re getting old

The traditional way of building enterprise applications, using a monolithic approach, is becoming problematic as applications get larger and more complex or when your business needs to make adaptations to its product/service in order to respond to demand.

Hello! Before we get to the Machine Learning topic, we need to talk a bit about Artificial Intelligence.

Why?

AI is the top layer of this whole process, while Machine Learning is a subset of it, and Deep Learning is a subset of ML (we are going to cover Deep Learning in another blog post soon, don’t worry).

If you are curious about knowing the functionalities and benefits of using Kubernetes you got to the right article. So, come onboard and let’s dig in!

You can also check the audio version:

Modern applications are increasingly built using containers — such as microservices packaged with their dependencies and configurations. Kubernetes or k8s for short, is open-source software for deploying and managing those containers. With Kubernetes, you can build, deliver and scale containerized apps faster.

As Opensource.com notes, "Today, Kubernetes is a true open source community, with engineers works from Google, Red Hat, and many other companies actively contributing to the project."

This time, I brought a subject that was one of the main topics on the Azure Essentials Workshop that we did with Microsoft: cloud migration!

What is Cloud Migration?

Cloud migration is the process of moving data, applications or other business elements to a cloud environment.

What companies usually do is to relocate most of its computing assets to the cloud, and some applications and services still remain on-premise. You probably heard about hybrid cloud too, in this option, you can go for both public and private cloud environments, that also includes on-premise computing assets.

Nowadays, to join or to be part of the Digital Transformation Era is a crucial to any business strategy. And one of the most important steps you need to consider is how to explore the cloud correctly. With so many cloud solutions in the market, we decided to write this article to help you realize that cloud services are the wisest decision for your business.

With the right cloud solution (or solutions) you should be able to engage your customers, transform products, optimize your operations, empower your employees and save money.

So, let us show you some reasons why you should migrate to the cloud.

Enjoy the reading!