This means that it's a tool made to abstract away details such as separation of nodes, while automating things like rolling upgrades, failover, and scaling of services. Kubernetes is a platform for managing containerised services. This can incur in extra costs since the risk of losing requests becomes higher the longer a restart takes, so you're likely to want to have another instance to minimise that risk. ![]() You will still need to worry about instance startup time whenever introducing rolling upgrades or performing a failover. If you're using a monolithic architecture over microservices, you may not need to deal with communication between nodes and so won't experience these issues. Communicating between nodes in this architecture can be quite complex.Stopping and starting instances is slow.There are still problems with this architecture though, for example: ![]() This makes Kubernetes platform agnostic so that instead of Docker you're free to use other platforms with corresponding shims, such as CRI-O or KataContainers.Īutomatic scaling and failover are just two of the benefits provided by modern cloud platforms such as Amazon AWS, Microsoft Azure and Google Cloud Platform (GCP). These implementations are colloquially known as "shims". ![]() Kubernetes defines a Container Runtime Interface (CRI) that container platforms must implement in order to be compatible. Kubernetes is most commonly used with Docker managed containers, although it doesn't strictly depend on it.
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