In this article, I’ll show how you can build your own Kafka producer/consumer in minutes. We often need to be able to program our own producer/consumer for demos, functional testing, and sometimes even scale testing. In this article, I’ve used a pip3 library called kafka-python in order to interact with…

Dealing with air-gapped environments can sometimes be challenging and costly in terms of time and effort put in order to provide customers with a cloud-like user experience. Things differentiate too much and change too often, A thing which causes some of the simple procedures provided with the documentation to become…

Those of you who have dealt with Openshift User-Provisioner Infrastructure (specifically platform agnostic) implementations may already know that in order to scale an existing Openshift cluster you have two options. Using A PXE server The server holds all the installation files for deploying Openshift, and the location for the ignition configuration files to be…

Introduction Many organizations are coming to a realization that their cloud architecture won’t include only the core data center as the central place for storing and processing organizational data. With the Distributed Cloud, we'll have smaller clouds distributed across several locations - It could be three-node-clusters, single-node-clusters, or even small maneuvering…

Introduction As we all know the distributed cloud is already here. We see a lot of organizations trying to deploy their environments on multiple clouds, whether it’s public, private or hybrid. Nowadays, a modern architecture won’t include only central, massive clouds but multiple tiers starting from the central cloud to the…

Data has become the core business of every modern organization today, whether it’s for decision making, reporting, predicting, analyzing and many other use cases that don’t fall short. …

As technologies emerge, and it seems that the words microservices and DevOps have become the answer for any technological problem, Organizations are putting a lot of effort into their automation, CI/CD pipelines, to improve their release lifecycle and gain a competitive advantage while keep improving their code and enrich their…

Kubernetes is our new Operating System, no one can doubt that anymore. As a lot of effort has been made, in order to develop a micro-services approach, and migrate workloads towards Kubernetes, organizations left their data services behind. We all saw, due to COVID-19, how important data is, and how…

The Big Data world is making its way towards Kubernetes and we already see many Data Processing and AI/ML products building their solution around Kubernetes to assure stability, scalability, and availability. Until now, most of the solutions were VM based, with no orchestration, automation, or config management layers above, which…