Exploring the evolution of Kubernetes to manage diverse IT workloads

Kubernetes started in 2014. For next two years, the adoption of Kubernetes as container orchestration engine was slow but steady, as compared to its counterparts – Amazon ECS, Apache Mesos, Docker Swarm, GCE et al. After 2016, Kubernetes started creeping into many IT systems that  have wide variety of container workloads and demand higher performance for scheduling, scaling and automation. This is so as to enable a cloud native approach having a microservices architecture in application deployments. Leading tech giants (AWS, Alibaba, Microsoft Azure, Red Hat) have started new solutions based on Kubernetes and in 2018, they are consolidating to build a de-facto Kubernetes solution which can cover every use case that handles dynamic hyperscale workloads. Two very recent acquisitions depict how Kubernetes has created a huge impact in IT ecosystem. One is IBM’s Red Hat and VMware’s Heptio acquisition. IBM did not shown the direct interest to target container orchestrations but had eyes on Red Hat’s Kubernetes Based Openshift.