Improving Operational Efficiency for Kubernetes Applications

1 min read

How do I add Kubernetes-driven applications and microservices to my data center and cloud infrastructure?

How do I do this while maintaining the performance, security, and availability of my applications? How do I improve the operational efficiency for Kubernetes applications? These are challenges that Site Reliability Engineers (SREs), DevOps engineers, and IT operators are faced with each and every day.

Container orchestration platforms like Kubernetes help automate the deployment of containerized workloads across the entire hybrid, multicloud environment. This allows organizations to easily deploy and run their containers on clusters of servers at different locations and in a synchronized manner.

Kubernetes also significantly improves the scalability of containerized workloads by enabling developers to easily add additional clusters to their existing infrastructure automatically, as needed—resulting in less application downtime and better performance. 

A new whitepaper on the state of Kubernetes

Enterprise Management Associates, Inc. (EMA) recently wrote a paper, sponsored by IBM, that discusses the current state of Kubernetes. They highlight the challenges and complexities enterprises face when selecting solutions that they can integrate with their current infrastructure and continuous delivery pipelines.

  1. Multicloud: Consistently deploying, monitoring, and managing technology silos becomes harder when using API calls from multiple cloud vendors.
  2. Different clouds for different purposes: Using a different cloud for a different purpose can lead to complexity as enterprises struggle to keep consistency in their cloud service.
  3. More flexibility brings more complexity: The flexibility of multiple teams being able to create separate accounts for a single vendor leads to more complexity as they work in a multicloud environment and want to maintain operational efficiency.

IBM Cloud Pak for Multicloud Management

IBM Cloud Pak for Multicloud Management, running on the Red Hat OpenShift platform, delivers lifecycle management for cloud native and traditional applications, as well as infrastructure lifecycle management for Kubernetes and virtual machines (VMs). It is an integrated suite of capabilities that is underpinned with a consistent event management, automation, and enterprise policy compliance framework.

To learn more about the state of Kubernetes and to get EMA's perspective on IBM Cloud Pak for Multicloud Management, download the paper: “Improving Operational Efficiency for Kubernetes Applications.”

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