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7 Kubernetes trends you should consider to stay ahead in the future!


Google Cloud unveiled Kubernetes, a new application management tool, on July 21, 2015. Kubernetes has made it easier for businesses to create container-based apps by providing additional functionality and operating more at the container level rather than at the system level.

Kubernetes was the cloud-native world’s sweetheart for a while, but where is it going, and why should you adopt it? The way developers work has significantly changed as a result of the open-source framework for automating the deployment, Kubernetes autoscale, and maintenance of containerized applications across clusters of nodes.

The recurring concern of “Will this technology last” or “At what point should you begin learning a new skill?” loops through your mind.

So, to ease your task, we will cover why use Kubernetes and what the future holds for it.

7 promising and beneficial Kubernetes trends to keep in mind – Have a look! 

Properly labeling the K8 Resources. 

Containers, services, pods, and networking are just a few examples of the various components found in each K8s cluster. Managing these components and keeping track of their relationships is more complex as a cluster expands.

In Kubernetes clusters, tags are key/value pairs that make identifying specific resources and characteristics easier. With the use of labels, you may filter and choose items with kubectl, enabling you to recognize things based on a specific trait instantly.

Even if you don’t expect to utilize an object right away, it’s a wise idea to identify it. Additionally, utilize as many descriptive names as you can to set the resources apart. Your objects can have labels for the owner, version, instance, element, maintained by, project, team, degree of confidentiality, regulatory compliances, and much more.

Kubernetes leveraging AI & ML. 

The evolution of Kubernetes and its capacity to handle trickier use cases will be most noticeable in the disciplines of AI and ML. The infrastructure of choice for AI and machine learning jobs is gradually shifting from other platforms to Kubernetes, and this will have a significant impact on the sector in the years to come.

There are many apps running on Kubernetes, but AI/ML is one of the more well-known ones. 

The ability to develop and improve a broad range of applications grows as data science becomes more significant in various sectors. AI/ML impacts everything, from customer support to data-driven decision-making to the design of autonomous vehicles.

Quick Tip – A strong IT foundation is necessary for AI/ML to leverage its capabilities.

Security at the top priority 

Significant security measures that are incorporated into Kubernetes make it easier for you to adjust and tweak the correct settings. The platform’s security has also received a lot of attention from its thriving ecosystem.

Businesses will hone their cloud and cloud-native safety policies using the tools and services at their disposal.

Expect to see continuous community investment in Kubernetes security generally, especially as it relates to the team’s ability to manage their clusters more cost-effectively by integrating security into the tools they use.

Kubernetes distributors will begin incorporating more security features directly into their releases. It will improve overall distribution safety while also lowering the cost of protecting a Kubernetes setup.”

Configuatiotion files are mandatory! 

Use a versioning system to store all configuration files for installation, services, and entrance. The most well-known open-source, distributed version control system for that is GitHub, but there are many alternatives like GitLab, BitBucket, and SourceForge.

You may trace source code revisions and who made them by carrying out this action before uploading your code to a cluster. To maintain stability and security, you can easily roll back the modification, start over, or restore your cluster as needed.

A rolling updating technique is another option. Rolling updates allow for deployment upgrades, which reduce application downtime by gradually swapping out outmoded pod instances for more recent ones. 

Kubernetes on Cloud 

More people than ever are using cloud-managed services. The popularity of Kubernetes, the leading technology for container orchestration, is rising. You must be capable of managing Kubernetes if you want to use it, and cloud-managed services can offer greater Kubernetes autoscaling, adaptability, and high availability than on-premise technologies.

Additionally, they frequently provide sophisticated features like:


  • AWS, Azure, and other clouds, as well as hybrid systems, are supported.
  • Tools for alerting and monitoring that are compatible with your existing workflow
  • A simple method for increasing CPU/memory or adding more nodes

Purposeful platform 

Kubernetes and containers work well together. Both in the past and in the future, this hasn’t changed. In 2023 and beyond, platforms built on Kubernetes will continue to change the kinds of apps they can manage.

Early Kubernetes users frequently built their own on-premises infrastructure and installed a smaller number of applications. However, as Kubernetes has gotten more reliable, usage patterns have shifted significantly.

Although businesses have already seen a variety of apps run in containers, more businesses are starting to transition their mission-critical, stateful apps to Kubernetes. The flexibility, reliability, and mobility of Kubernetes are projected to attract databases, event-driven communications, and mission-critical apps.

Go stateless 

The idea behind stateless apps is that data should be handled outside of the application using abstracts other than file servers because they are simpler to operate. Applications that employ databases and object stores may leverage PVs for their storage requirements.

The drawback of controlling internally is that you frequently have to return the inexpensive computing resources quickly, which can disturb your workload. You may resolve this issue by making your application stateless with Kubernetes’ assistance.

Why go stateless? 

  • A stateless backend guarantees that teams new to Kubernetes do not have long-running connections that impede scalability.
  • Stateless apps make it easier for Kubernetes to autoscaling and down as needed.
  • Spot instances can be utilized if workloads are kept stateless.
  • Maintaining the cluster for differentiated services and storing data separately guarantees a smooth user experience.

To sum it all up. 

Kubernetes is still aggressively expanding and is quickly becoming the de-facto orchestration platform for declarative controlling open infrastructure. Containers are expanding towards a more promising future of software development.

Therefore, we’ve highlighted the top 7 Kubernetes trends below for you to keep in mind as you strive to grow your company.

In the coming years, Kubernetes will undoubtedly undergo a significant change, and hopefully for good, and a hell lot of innovative solutions will be built on top of it, allowing businesses to take advantage of its significant advantages. 

However, if you want to utilize this technology effectively, get in touch with us. Our team would be happy to help.


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