Here is Why Kubernetes Automation is Important for your Company

As the foundation of cloud native infrastructure, Kubernetes provides companies with innovation. It provides the power to expand applications and boost resilience. However, the truth is that Kubernetes is not an easy endeavor to run. The process of handling clusters, workloads, and policies manually can easily be overwhelming. So, this is where automation fits in.

Deploy quickly without losing control

Kubernetes is fast, and so should be your development teams. When operations are not up to date, innovation slows down. If all deployments are manual, all the teams waste more time waiting than developing.

You can be fast and in control by automating:

• GitOps workflows
• Pipelines
• Policy-as-code.

These features enable developers to deliver features rapidly without breaking governance and compliance policies. Your platform becomes an enabler of speed, rather than a bottleneck.

Reduce human error

Even the slightest error may lead to enormous issues when it comes to managing clusters. An improperly configured deployment or a lost update may cause outages. There are too many possibilities of human error in manual processes.

Luckily, Kubernetes automation solves this. Automated tasks will guarantee that all deployments, upgrades, and configuration changes are uniform. This makes your systems more reliable. In addition, it brings a bit of calmness to your teams because they know that the cluster is running accordingly to their expectations.

Secure your infrastructure

Kubernetes security is not a choice. But handling it manually is risky and time-consuming. The list of tasks may seem endless, starting with the role-based access control (RBAC) and secrets management.

Automation of such processes means that you can keep your clusters safe without holding up your teams. As an example, you may automatically:

• Enforce policies
• Rotate secrets
• Scan container images prior to deployment.

Instead of relying on memory or manual reviews, automation develops guardrails to secure your infrastructure.

Optimize costs at scale

Cost control is one of the biggest problems of Kubernetes. You might over-provision the resources to be on the safer side, and then your cloud bill skyrockets. Monitoring and adjusting workloads manually is unsustainable, at least at the enterprise level.

Automation will ensure that your expenditure is under control. You can use specific tools that assist you in operating supply with demand. For example, cluster autoscalers and resource rightsizing policies.

With automatic up- and downscaling of the workloads, you do not waste resources, yet maintain high performance.

Improve reliability with self-healing systems

Self-healing is one of the greatest advantages that Kubernetes has, and automation amplifies it further. Your clusters will automatically do the following:

• Restart failed pods
• Reschedule workloads
• Rebalance resources.

They will be able to recover issues without delaying until a human operator can intervene. This degree of automated resilience is what ensures that your applications are always accessible, even when something goes wrong with the backend.

Empower your teams

Finally, Kubernetes automation is, perhaps, not technical but cultural. By automating repetitive tasks, your engineers will be able to focus on more productive work, which is:

• Designing improved systems
• Finding solutions to customer issues
• Innovation.

Automation relieves individuals of firefighting and gives them the space to be strategic thinkers.

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