The Best Way to Automate and Scale with Kubernetes

DEEPU K P | September 26, 2022

The Best Way to Automate and Scale with Kubernetes
Kubernetes Autoscaling:Ways to Automate Kubernetes at Scale in Production

The client of today expects amazing speed and service offered through user-friendly apps and tailored interactions. Consumers have learned that their experience is crucial, regardless of the size of the business, the difficulty of the issue, or the rules governing the sector Building and running scalable applications in contemporary, dynamic environments like public, private, and hybrid clouds is made possible by cloud-native technologies. This strategy is demonstrated via containers, service meshes, microservices, immutable infrastructure, and declarative APIs. These methods make it possible to create durable, controllable, and observable weakly connected systems. They enable developers to quickly and consistently implement high-impact changes when combined with strong automation

 Kubernetes automation

Containers Come First in Modern Cloud

Modern cloud application development and deployment are improved by the use of containers. Compared to virtual machines, containers are lighter, faster, more portable, and simpler to administer. With containers, developers can create more secure, tested systems, and the operations team can isolate workloads within affordable clusters. Building and administering modern cloud apps entails much more than simply having a managed service platform in an environment where IT requirements are changing quickly due to shifting consumer demands. Containers are now synonymous with the modern cloud, and an effective Kubernetes strategy is crucial for IT success.

Kubernetes for Developers of the Future

The benefits of containers can be further increased by a managed container platform like Kubernetes. Think about Kubernetes as the way to construct bespoke platforms that enforce standards your organization cares about through controls over project creation, the nodes you utilize, and libraries and repositories you pull from. Background controls are not often maintained by app developers, rather they give developers a governed and safe framework to operate within.

In addition to being a technology, Kubernetes is also a paradigm for building and growing value for your company, a way to create dependable apps and services, and a strategy to protect and grow cloud-based IT capabilities for innovation.

It’s Simple with Open Source

Kubernetes was developed by Google, which is still the project's top contributor. You have the freedom to run wherever you want by putting your faith in open source. Additionally, the ecosystem surrounding open-source initiatives like Kubernetes allows you to access standardized plugins and extensions to build a developer-friendly comprehensive platform. Best-in-class contemporary applications can be created using open source and transferred seamlessly and securely to Google Cloud when they are ready for cloud deployment.

GKE Leads the Way

While managed services based on open source provide you independence, they also include best practices for implementing and using that software. The Google Kubernetes Engine (GKE), which was developed by the same programmers that created Kubernetes, is the superior product. Utilize Kubernetes standards, skillfully managed by the organization with the most experience. GKE enables you to reap the rewards of innovation projects without becoming mired down in managing day-to-day enterprise-scale container deployment operations and debugging infrastructure problems.

With Kubernetes, automation that matters and scaling that saves are the two key ingredients.

1. Important automation

The only constant for cloud-based businesses is changing. As a result, you must possess the capacity to change course swiftly. This also holds true for your platforms! Your application platform must be flexible and able to take chances on board without experiencing any downtime. To operate your applications effectively and easily, GKE offers the majority of automation aspects. With a fully managed Autopilot mode of operation and multi-dimensional auto-scaling capabilities, you can start using a secured cluster that is ready for production in a matter of minutes while maintaining total control over the configurations and upkeep.

2. operations

With GKE, you can choose to automate node provisioning, upgrades, and control plane upgrades. You can also choose to configure and auto-upgrade only some nodes. These capabilities allow you to automate your infrastructure any way you like, saving a tonne of time and reducing the need for maintenance. Furthermore, you have control over how, what, and when to upgrade your clusters and nodes thanks to GKE release channels.

Modern Cloud Stack:

You can easily deploy service mesh and configuration management tools, and we will take care of their provisioning and maintenance. The control and data planes are provisioned, scaled, secured, and updated by Google Cloud, offering you all the advantages of a service mesh without any of the operational hassles. Both your cluster and your service mesh upgrade and lifecycle chores can be handled by Google. You can also benefit from the mesh-enhanced telemetry, security, and Layer 7 network regulations.

Cost Optimization:

By using the workload rightsizing and cost estimator features integrated directly into the Google Cloud dashboard, you can make the most of your Kubernetes resources with actionable data. There is less traffic at night as clusters are scaled and maintained by Google Cloud, resulting in reduced cost and a better and more secure experience for customers, freeing up developer time away from managing Kubernetes. Learn how a robotics business used GKE Autopilot to swap clouds and lower its Kubernetes operations costs.

Partner Solutions:

GKE Autopilot works out of the box with your preferred DevOps and security solutions. GKE Autopilot still supports the ability to launch node agents using DaemonSets while being a fully managed Kubernetes platform that gives you a hands-off approach to nodes. As a result, you can perform tasks like gathering node-level metrics without having to run a sidecar in each pod.

Scale that Saves

Modern cloud apps are more crucial than ever, whether your company is scaling up to handle an unexpected spike in demand or scaling down to control costs. You can operate applications efficiently and dependably at scale with GKE since it out scales other cloud providers by up to 10X and can run 15,000 node clusters. Using the most scalable Kubernetes platform to operate their modern cloud apps is already paying off for companies like Kitabisa and IoT.

As we end the blog here, we hope you have a better understanding of how Kubernetes Autoscaling may help you scale resources into and out of your Kubernetes Cluster. Remember that the layers (nodes/pods) of Kubernetes Autoscaling are essential and interrelated as well. Sanesquare Technologies provides the Best DevOps Consulting Services to help companies optimize their IT operations lifecycle and workflows. So get in touch with us and get the benefit from Kubernetes Autoscaling.

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