<p>I am starting on learning Containers and Kubernetes.
When watching tutorials on Conatiners and Kubernetes, often the instructors says &quot;You could have thousands of containers&quot;.</p>
<p>I am trying to understand how we can end up with thousands of containers?</p>
<p>After deploying my single container app, how thousands of container instances are created?</p>
<p>I am hope my question makes sense.
thanks</p>

<p>Adding to GSerg suggestion</p>
<p>A cluster is a set of nodes running Kubernetes agents, managed by the control plane.You can scale your cluster by adding or removing nodes. The way you do this depends on how your cluster is deployed. The limit is 300000 containers.You can find this in this official <a href="https://kubernetes.io/docs/setup/best-practices/cluster-large/" rel="nofollow noreferrer">doc</a>.</p>
<p>As per this <a href="https://www.netapp.com/devops-solutions/what-are-containers/" rel="nofollow noreferrer">doc</a></p>
<blockquote>
<p>Containerized applications can get complicated, however. When in
production, many might require hundreds to thousands of separate
containers in production. This is where container runtime environments
such as Docker benefit from the use of other tools to orchestrate or
manage all the containers in operation.</p>
<p>One of the most popular tools for this purpose is Kubernetes, a
container orchestrator that recognizes multiple container runtime
environments, including Docker.</p>
</blockquote>
<p>The software that runs containers is called the container runtime. Kubernetes upholds compartment runtimes, for example, containerd, CRI-O, and some other execution of the Kubernetes CRI (Holder Runtime Point of interaction).</p>
<p>Usually, you can let your cluster choose a Pod's default container runtime. You can specify the RuntimeClass for a Pod to ensure that Kubernetes runs those containers using a specific container runtime if you need to use more than one container runtime in your cluster. Using RuntimeClass, you can also use the same container runtime to run multiple Pods with different settings.</p>
