Cloud computing’s ascent has redefined modern business operations. Azure, among other platforms, offers unparalleled scalability, speed, and resilience. However, this vast potential brings about the challenge of cost management. Although DevOps teams traditionally focus more on deployment and uptime, addressing Azure costs is essential. Here’s why.

Say hello to the latest arrival in the Azure Integration landscape: Azure API Center, and it’s worth noting that it’s currently in its preview stage!

Apache Kafka, born at LinkedIn in 2010, has revolutionized real-time data streaming and has become a staple in many enterprise architectures. As it facilitates seamless processing of vast data volumes in distributed ecosystems, the importance of visibility into its operations has risen substantially. In this blog, we’re setting our sights on the step-by-step deployment of a containerized Kafka cluster, accompanied by a Python application to validate its functionality. The cherry on top?

Azure Functions offers a serverless solution that streamlines the development process, minimizes infrastructure overhead, and results in cost savings. The beauty of this approach is that you no longer need to grapple with server deployment and maintenance; the cloud infrastructure automatically furnishes the essential resources to support your applications.