If we were poets, and you asked us to write about the benefits of Kubernetes, we might open with something like this:

Kubernetes, how do we love thee? Let us count the ways.

We love thee to the depth and breadth and height

Our clusters can reach, when resource overhead is light

For the ends of being and every cloud-native use case.

But, alas, we're software engineers, not poets – and we don't want to offend Elizabeth Barrett Browning fans anymore than we already have. So rather than continuing to celebrate Kubernetes in verse, allow us instead to discuss, in prosaic form, the key features and benefits that Kubernetes brings us in 2024 and beyond.

Key Features of Kubernetes

Feature Resulting Benefit
Scalability Ability to manage workloads of any size, across infrastructures of any size.
Container Orchestration By offloading container provisioning, deployment and scaling to Kubernetes, teams can work more efficiently at scale.
Storage Orchestration Kubernetes makes it easy to connect containers to a variety of storage resources.
Self-healing Automatic recovery from routine failures reduces workload downtime and disruption to users.
Service Discovery and Load Balancing Admins don't have to configure network services and load balancing manually.
Rolling Updates and Rollbacks Teams can update applications, or revert to an earlier release in response to a bug, without downtime.

For anyone deploying containerized applications – or even virtual machines, which Kubernetes can also manage with help from APIs like KubeVirt – Kubernetes offers lots of important features. Here's a roundup of the top types of Kubernetes functionality.


If there's one thing Kubernetes is really, really good at, it's scalability. For workloads large, small and in-between, Kubernetes works equally well.

You can operate a single cluster or dozens with Kubernetes. You can deploy workloads using a single-node cluster that runs on your laptop, or you can build your production-grade Kubernetes clusters using thousands of nodes spread across multiple data centers. You can host a single app in Kubernetes or thousands.

On balance, we should note that there are some limitations to Kubernetes scalability. Your cluster can't have more than 5,000 nodes, for example, and you're limited to 300,000 containers. But it's a safe bet that at least 99.5 percent of Kubernetes use cases can work within these scalability constraints.

Container Orchestration

The ability to orchestrate containers is another key feature in Kubernetes. Container orchestration means pulling container images from a registry, then provisioning, deploying and scaling containers on the servers that host them.


This feature is crucial because orchestrating containers by hand is not just feasible at scale. If you tried to download container images by hand, then decide which servers should host which containers manually, and you also attempted to update your deployment configuration in response to shifts in workload performance or request rates, you'd quickly find that doing so for more than just a handful of containers is not practical.

But with Kubernetes, you can outsource the hard work of container orchestration to the Kubernetes control plane, making it easy to manage your containerized applications whether you have a couple containers to run, or a couple thousand.

Storage Orchestration

Storage orchestration is another important Kubernetes feature, at least for any team that runs stateful apps – meaning apps that need to store data persistently. Through storage orchestration, Kubernetes automatically connects containers that need storage resources to the infrastructure that can provide it.

The exact way Kubernetes does this will vary depending on factors like which type of storage infrastructure you're using and what your containers are using it for. Writing logs files to a local storage volume is different from pushing massive amounts of data to a MySQL database, for example. Either way, Kubernetes's storage orchestration features make it possible to do what you need.


Kubernetes offers self-healing features that help workloads recover autonomously when something goes wrong. If it detects failed containers or Pods, for instance, Kubernetes will automatically attempt to restart them. Likewise, if a node becomes unreachable, Kubernetes will automatically try to reschedule any workloads it was hosting to other, healthy nodes.

Self-healing features are a big deal because they allow Kubernetes environments to recover from many types of failure without waiting for human engineers to step in and save the day. Kubernetes can't automatically fix major issues, such as file corruption in container images or the failure of all of a cluster's control-plane nodes, but it can handle many routine problems on its own.

Service Discovery and Load Balancing

Workloads orchestrated by Kubernetes don't require engineers to define most network services or configure load balancing manually. Instead, Kubernetes automatically exposes applications as network services and balances traffic between them.

Without this feature, admins would have to assign network addresses to each Pod or container, tell other Pods and containers what those addresses are, and configure networking rules that balance traffic between all of them. That would require a huge amount of effort, and it wouldn't scale. Fortunately, since Kubernetes does most of this work automatically, service discovery and load balancing at scale are simple.

Rolling Updates and Rollbacks

If you want to update an application in a Kubernetes environment, you don't have to take it offline, deploy the update, and then restore service. Instead, thanks to Kubernetes's built-in rolling updates feature, you can incrementally apply updates by replacing older versions of Pods with new ones, until all have been updated. You can perform rollbacks (meaning the reversion to an earlier version of an application) in a similar fashion.

In addition to saving time and effort on the part of Kubernetes admins, this feature benefits users because it minimizes the risk of downtime or disruption due to app updates.

Top Kubernetes Benefits

By leveraging the features described above, Kubernetes brings a range of major benefits to modern workloads. We can't list every single one below, but here are the most important advantages of using Kubernetes rather than a different approach to container deployment.

#1. Easy Deployment and Updates

It would be wrong to say that deploying or updating Kubernetes is always easy. On the contrary, Kubernetes is very complex, and setting it up from scratch entirely on your own takes a ton of work.

However, as of 2024, there are plenty of approaches to Kubernetes deployment and updates that make the process simple. You could use a managed Kubernetes service, like EKS or AKS, to run containers using Kubernetes without having to deploy a control plane or set up host infrastructure yourself. Kubernetes deployment and management platforms like Rancher and OpenShift also make for a simple process.

And once Kubernetes is up and running, deploying apps and application updates is a breeze: In most cases, you simply write some YAML code that tells Kubernetes what you want to run and how to run it, and it does the rest.

#2. App Stability and Availability in a Cloud Environment

Kubernetes also does a great job of keeping applications stable and available once they're running.

Again, it's not magic, and it can't do things like recover an environment whose underlying infrastructure has totally failed – which is why it's also important to have a Kubernetes observability and monitoring strategy in place to catch major failures. But it can automatically deploy and scale applications in ways that help them to maintain maximum availability and performance levels, even in complex cloud environments where conditions are always changing.

#3. Multi-Cloud Capability

Kubernetes can run virtually anywhere – on any public cloud, in a private cloud or on simple on-prem servers. This makes Kubernetes a great solution if you want to deploy containerized applications on multiple clouds.

It's worth noting that running multi-cloud Kubernetes can be somewhat challenging. Some Kubernetes distributions or services, like EKS and AKS, don't work with other clouds, and managing Kubernetes clusters spread across multiple clouds through a single control plane requires special network configurations.

That said, multi-cloud architectures are complex no matter how you orchestrate containerized applications. Ultimately, Kubernetes is arguably the best way to take advantage of multiple clouds, since it can manage and scale multi-cloud workloads in a consistent way once it's configured to do so.

#4. Portability Across Cloud Providers

The fact that Kubernetes works consistently across cloud providers and is free in most cases from vendor lock in is also a benefit for organizations that switch between clouds, not just those who use multiple clouds at once. If you deploy your workloads using Kubernetes, you can typically move them to a different cloud without having to overhaul your apps or configuration.

Some adjustments may be necessary, especially if you are using a particular cloud provider's managed Kubernetes service. But in general, Kubernetes offers a degree of portability that alternative container orchestration platform options can't match.

#5. Availability of Resources Online

Because Kubernetes is the most popular container orchestration tool, there is a dynamic Kubernetes community that produces excellent resources online, including information, management tools, and extensions.

In addition to the excellent Kubernetes documentation, admins can benefit from a plethora of third-party Kubernetes guides and tutorials. They can also find a wide range of Kubernetes add-ons, as well as apps ready to be deployed on Kubernetes, on GitHub and similar repositories.

#6. Cost-Effectiveness

As an open source solution, the Kubernetes platform is free of cost. You might pay fees if you use a Kubernetes management service, but they are typically minimal; for example, EKS charges a cluster management fee of just $2.40 per day – which is not a lot when you're deploying hundreds of containers.

At the same time, Kubernetes's ability to manage and scale apps across a cluster of servers efficiently can save money because it helps to make the most of the infrastructure available. Without Kubernetes, you might have some servers sitting idle because they are not hosting any apps while others are maxing out their resources because they are hosting too many. But Kubernetes helps you strike the ideal balance.

Both of these benefits combine to make Kubernetes a cost-effective way to deploy and manage applications. You get a free or low-cost tool that optimizes the resource efficiency of your apps and infrastructure. And when you invest in Kubernetes cost optimization, which helps prevent unnecessary Kubernetes spending, you get even more value from the orchestrator.

#7. Increased DevOps Efficiency for Microservices Architecture

Kubernetes helps DevOps teams work more efficiently, too. With Kubernetes, DevOps engineers can build, test, and deploy microservices apps in the same platform. This benefit eliminates the headache and risk that occur when apps developed in one platform have to move to a different one for production.

We're not saying Kubernetes alone makes all aspects of DevOps efficient and simple. But when it comes to app development and deployment, it does add efficiency and lower the risk of problems that could disrupt application release cycles.

Why Choose Kubernetes Over Other Alternatives?

There are two main types of alternatives to Kubernetes. Both of them lack most of the core features and benefits of K8s.

One alternative is to deploy apps without using a container orchestration platform at all. As we mentioned, that's impractical to do at any kind of scale. You might be able to get away without orchestration if you have just one or two apps to run, but we guarantee you it will become a nightmare in scenarios that are even slightly larger in scale.

The other type of alternative to Kubernetes is to use a different container orchestrator. There are other options – such as Amazon ECS, a cloud-based container service that uses a proprietary orchestrator, and Docker Swarm, an orchestration feature developed by Docker.

Alternative orchestrators are suited to certain use cases, but many of them lack important benefits, like the ability to work across multiple clouds or to provide a wealth of community-generated resources.


In short, although it's not quite right to say that Kubernetes is the very best solution for every use case under the sun, it's not at all a stretch to say that it's the best option for a majority of use cases today. We expect that to hold true for the duration of 2024 and beyond as Kubernetes's feature set continues to expand, enabling even more benefits that other container orchestrators can't match.

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