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4 Tips When Using Enterprise-Scale Kubernetes

Ever since its deployment as an open-source solution, Kubernetes has become the current favorite of web developers and larger tech enterprises for a good reason. Providing orchestration and automation needs for organizations, especially enterprises, Kubernetes maximizes cloud ecosystems and better productivity which are two of the most important requirements a modern business. Whether you are transitioning to an enterprise-scale deployment system, like the one at https://kublr.com/, or just starting with Kubernetes, here are some following tips that will give you more out of your configuration.

  1. Get a managed service

Kubernetes, being an extremely complex solution, can be quite challenging to maintain and deploy if you don’t have a proper in-house expert to handle it.

Using a managed service or Kubernetes managing platform, like the one at https://kublr.com/, for enterprise deployments may bring additional cost, but it can fill provide varying levels of support, such as management of self-hosted operations, self-service deployments of template configurations, and even providing fully-managed platform as a service (PaaS) solutions.

  1. Ensure security

Kubernetes deployment can be quite complicated and has a significant effect on security management and has many more moving parts that you need to secure.

When securing your configurations, your goals would be to:

  • Control Kubelet access: Allow Kubelet authorization and authentication.
  • Control API access: Use transport layer security (TLS) for all kinds of traffic, authentication and checking of the authorization of application programming interface (API) clients.
  • Protect cluster components: Frequently rotate infrastructure credentials, restrict electronic common technical document (eCTD) access, use at-rest encryption, and use beta or alpha features and 3rd party integrations.
  • Manage users and workloads: Control pod node access, set resource limits, restrict network access, and control user/workload privileges and cloud metadata API access.

In addition, using cluster segmentation along with firewalls that are native to containers while segregating roles by duty can further secure your deployments.

  1. System events should be monitored and logged

Brief downtimes or even small drops in availability can significantly affect your productivity and revenue. In order to avoid these and also ensure standards of security, you need to utilize consistent and robust logging and monitoring measures.

Monitoring should alert you with any performance or security issues, so you can quickly respond and minimize or prevent damage. Meanwhile, logging, which is required for regulatory compliance and auditing, can help you track and analyze any problems that occurred and provide better insights for optimizing performance.

  1. Utilize custom controllers

In Kubernetes, controllers ensure the desired state of cluster matches its observed state, and each controller is responsible for a specific resource.

Fortunately, there are several built-in controllers that you can use, like the Node Controller, which verifies the state of servers and alert you if they go down, or the Replica Sets Controller, which ensures the correct number of pods is effectively running in a cluster.

While built-in controllers are excellent for tackling standard tasks, custom controllers offer you more flexibility. For one, custom controllers can facilitate the dynamic reloading of app configurations during a cluster change, creation of namespaces, and node issue correction.

Also, custom controllers can help simplify the deployment management process, particularly in comparison with the process via toolchains, allowing you to use just a small piece of code to access APIs as well as providing declarative APIs when used along with custom resources.

Want to get more out of Kubernetes? Check out https://kublr.com.

Keith Edwards
Keith Edwards
Proud alcohol junkie. Devoted organizer. Zombie ninja. Tv scholar. Incurable entrepreneur.