The software keeps an eye on everything and ensures , for example , that payloads are distributed dynamically and sensibly to the containers to guarantee the availability of a service and ensure that it can meet all requirements . Kubernetes is thus an orchestration for Docker and accordingly , a connection between the two is not only possible but desirable .
New security vulnerabilities in sight ?
Kubernetes does not change the threat landscape . It does not close security gaps but requires the same Modern Data Protection as any other type of data . Formerly , we just saved everything , then with virtualisation we selected what to protect and how often . Today , we move forward with containers that sometimes only last for minutes or
With the rise of containers , Kubernetes will then also increasingly enter the scene to manage the new environment well hours , other than virtual machines that can have a lifetime of months . Kubernetes . io provides in-depth documentation that focuses on the ‘ Four Cs ’ of cloud-native security : Code ; Container ; Cluster ; Cloud / Corporate Data Centre . It states that each layer of the cloud-native security model builds on the previous one . Accordingly , the coding layer ( code layer ) benefits from a strong foundation at the cloud , cluster and container level . So , if weak IT security standards apply there , the difficulties cannot be solved at the coding level . Each level must therefore be a strong foundation in itself . Kubernetes simply comes in here as the orchestrator of the containers .
What is becoming important , however , is data protection itself , for example backup and replication . The pioneers of Kubernetes and containers often complain about a lack of data security and data management in relation to the new environments . This is because the infrastructure is now closer to the applications with the help of containers , and data backup must be carried out differently accordingly . There are already coming up the stateful workloads instead of the stateless ones common in container environments and there is an increase of data service deployed right inside the Kubernetes cluster . Other tools from outside , like Amazon
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