DevOps

Nowadays, we see that the number of resources, applications, processes and services of the companies do not stop growing, and on the other hand, their complexity also increases at a high rate. If we add to all this the enormous speed of innovation in which we are immersed, we observe that complexity becomes exponential.

The role of AI & ML is used for generating the necessary signal or insight about a problem. It can also be used for classification, categorization and detection of anomalies around events. The role of Automation is to remediate and take actions related to an incident or problem.

For IT companies and companies with a big IT component, engineers are a very valuable asset and they become far more valuable when you provide them with the right tools. The benefits will far outweigh the costs.

The rapidly changing world of DevOps and its role in enabling business is fascinating. That’s why I’m excited at the launch of a new paper that I and my colleagues at Sogeti have written in partnership with a great team at Microsoft.

Take a look at our most read and shared blog posts from April 2021.

Much has been said about how important version control is when working in application development.

In recent years, the number of new words related to agile methodologies has not stopped growing.

In a series of blogposts I will be sharing some learnings with regards to enhancing live chat, introducing Conversational AI and scaling up with a Bot at a banking organization.

In this article we will describe in detail the steps to follow to complete the automatic deployment of Azure Data Factory pipelines in the Development (dev), Staging (stg) and Production (prd) environments.

DevSecOps is a very common term being used in the context of every solution being proposed to our customers.

When agile rose, everyone needed to do agile. When cloud became popular, every company tried/tries to go to cloud.

Terraform by HashiCorp, an AWS Partner Network (APN) Advanced Technology Partner and an individual from the AWS DevOps Competency is an "infrastructure as code" apparatus like AWS CloudFormation that permits you to make, update, and form your Amazon Web Services (AWS) infrastructure.