Trends and insights from our IT experts

KEDA is a Kubernetes-based, event-driven Autoscaler. With KEDA, you can drive the scaling of any container in Kubernetes based on the number of events needed to be processed. KEDA is a single-purpose and lightweight component that can be added to any Kubernetes cluster.

Are you passionate about Kubernetes as an open-source project? Click on the link below and read the first-in-series blog by our Igor Vojinovic, DevOps Engineer. In this blog, Igor shared his own perspective on what Crossplane is all about and why you should start using it inside your organizations. 

Previously we talked about machine learning in the cloud and presented the benefits and drawbacks. In this blog post, we continue our journey and introduce an AWS service that will be used for cleaning and transforming our training and test data.

Many engineers may ask themselves, what are the benefits and why should they use functional programming in Java. From its beginnings, best practices in Java have encouraged object-oriented programming (which is an extension of procedural programming - type of imperative programming).

As cloud services become more and more popular, we'll focus on Amazon Web Services (AWS) and explore how to set up a fully automated data pipeline for a machine learning application using some of these services.