By Andre Newman | May 3, 2019
In our container monitoring guide, we explained how monitoring Docker will keep your containerized applications running smoothly. While container monitoring is important, most enterprises aren’t managing individual containers on a single host. Instead, they’re deploying hundreds, if not thousands of containers across multiple nodes, clusters, and regions. It is nearly impossible to manage these massive workloads on a per-container basis; however, orchestration tools such as Kubernetes can help.
Using Kubernetes, DevOps teams can deploy applications in an automated and resilient way. Engineers specify the end state of an application deployment, and Kubernetes handles the process of reaching that state. This makes it much easier and faster to deploy applications across a cluster of nodes while also enabling scalability, redundancy, and load balancing.