Again, the bigger the application (i.e., the more containers it consists of), the more effort has to be put into extra coding.īut don’t worry, Kubernetes can help here, too. Built-In Load BalancingĪs a developer, sometimes you need to implement extra logic in the code to make distributed applications bulletproof. One Kubernetes cluster can even consist of different pools of machines in different places. Kubernetes can manage a cluster of five servers as easily as it manages a cluster of 500-plus servers. With Kubernetes, it doesn’t matter if your application has fewer than 10 containers or if it has hundreds of them. While saving you, the developer, the hassle of managing multiple containers is already an improvement, there’s another important advantage of using Kubernetes: scalability. You’ll be able to focus on the application itself. Take care of deploying a new version of your containers with rolling updates.Īs a developer, you won’t have to worry about any of this.Reschedule containers if one of the nodes will become saturated.Make sure all your containers are running.The short answer? You have fewer things to worry about. They can have a wide impact on application performance and be hard to identify and correctįortunately, some general tips can help you avoid some common issues with misconfigured resource allocation in Kubernetes. Memory and resource allocation issues are a good example. Kubernetes even simplified complex deployments and made managing multiple containers for bigger applications within the reach of most developers.īut using Kubernetes also introduces new types of issues that can be difficult to spot and troubleshoot. Kubernetes solved many problems and offloaded the task of setting up the necessary runtimes, libraries, and servers. After the introduction of Docker, the life of a developer became much easier.
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