Anyone using a Kubernetes cluster knows how important Kubernetes (K8s) is to automating container procedures. Kubernetes allows teams to automate application deployment, scaling, processes, and management, making it easier for businesses to manage their cloud containers.

Learning how to optimize a Kubernetes cluster provides a host of benefits: improved productivity, more stable applications, more agile processes, and so on. But Kubernetes also comes with its challenges. It is a big and complex open-source container orchestration platform with a steep learning curve. 

In addition to a difficult learning curve, enterprises often find themselves struggling with the costs. It can be an expensive piece of software if not properly managed and optimally used. But a simple step that DevOps/CloudOps teams can take to minimize costs while meeting performance goals is to optimize Kubernetes workloads with dedicated tools like Opsani.

For example: Optimizing Kubernetes workloads can be as simple as deploying a YAML manifest with kubectl. In Opsani’s recent webinar, “Technical Ninja” Robert Starmer demonstrates this through Opsani Vital, along with Amir Sharif, Opsani’s VP of Product and Marketing.

“In order to help our customers launch the service, we’ve created a component (a tutorial) that pulls together the core resources that are needed to launch an application. The tutorial template has the core access credentials that you need to configure and create a servo environment.”

The sample tutorial Robert demonstrated in the video included a set of scripts and necessary descriptions to launch a Servo in a Kubernetes environment. Robert then proceeds with a step-by-step walkthrough of creating an application, deploying a tutorial workload on a Kubernetes cluster, and launching and optimizing it within minutes. For more details, watch the video here.

Once this kind of optimization happens, cost will automatically begin to fall. 

“The nice thing about this, especially given how Kubernetes interacts, is once you have an initial application automated, it’s very easy to take that exact same model and apply it to another component, even in the same Kubernetes environment,” Robert adds. “It just makes it really easy to further your understanding, from a simple initial startup to being able to automate your application directly with that toolset.

For a more in-depth look at how Opsani Vital helps you optimize your Kubenetes cluster, workloads and cloud containers, click on the button below to watch the webinar.

Watch our Kubernetes Webinar

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