Virtualization, Docker, and Kubernetes for Data Engineering

Docker allows you to configure and run all three of those applications side-by-side. This feature enables development teams to more effectively automate and manage all the containerized applications that Docker helped them build. An orchestration platform has various mechanisms built in to prevent vulnerabilities such as secure container deployment pipelines, encrypted network traffic, secret stores and more.

What is Kubernetes vs Docker

The CRI lets Kubernetes support containerization platforms like Docker to create, delete, and manage containers on the server nodes. Yes, Docker and Kubernetes can be used together to build a comprehensive container ecosystem. Docker can be used for containerization, creating and managing container images. Kubernetes can then be leveraged for orchestration, automating the deployment, scaling, and management of containers across clusters.

Working with Kubernetes in Podman Desktop

Kubernetes by itself is an open source software that automates deploying, managing, and scaling containers. It can manage the complexities of running multiple services with various dependencies and communication requirements. ​Kubernetes, often called K8s, is the heavyweight champion of container orchestration, offering a powerful and highly scalable solution for deploying and managing containerized applications. While using Kubernetes as an orchestration platform for Wasm applications helps the adoption and growth of Wasm, Wasm is not intended to displace Docker containers. Kubernetes can readily support both containers and Wasm workloads simultaneously, allowing great versatility in future application design and deployment options. A typical container deployment in Kubernetes uses containerd as a main management runtime to manage container tasks such as creating, starting, stopping and removing containers.

Docker containers help developers create isolated and predictable environments, leading to consistent and efficient scaling. This results in increased productivity with less time spent debugging and more time launching new features for users. Docker maintains all configurations and dependencies internally, ensuring consistency from deployment to production. Scaling up allows you to add more resources during high demand, while scaling down saves money and resources during quieter periods. Although Kubernetes and Docker are distinct technologies, they are highly complementary and make a powerful combination.

Traditional IT infrastructure versus virtual IT infrastructure

For instance, it’s possible to tune Docker to improve its performance if you can spend the time. If you’re concerned with Docker’s overall performance in production, Stackify’s Retrace is a powerful tool to help you identify the bottlenecks of your application. In fact, container technologies were available for decades prior to Docker’s release in 2013. In the early days, Linux Containers (or LXC) were the most prevalent of these. Docker was built on LXC, but Docker’s customized technology quickly overtook LXC to become the most popular containerization platform. A swarm is made up of one or more nodes, which are physical or virtual machines running in Docker Engine.

What is Kubernetes vs Docker

In fact, Docker has its own orchestration platform called Docker Swarm — but Kubernetes’ popularity makes it common to use in tandem with Docker. While Docker is the engine that operates containers, Kubernetes is the platform that helps organizations manage countless containers as they deploy, proliferate and then cease to exist. A program in C, C++, Rust, Go or another language is compiled to an executable binary which will run on a suitable Wasm runtime.

What Is the Future of Containerization?

Dynatrace integrates with all these tools and more, and adds its own high-fidelity data to create a single real-time entity model. The primary focus on Docker is developing, sharing and running individual containers, whereas Kubernetes is focused on containerized applications at scale. Kubernetes comes with a powerful API and command line tool, called kubectl, which handles a bulk of the heavy lifting that goes into container management by allowing you to automate your operations. The controller pattern in Kubernetes ensures applications/containers run exactly as specified.

  • An example of a container set is an app server, redis cache, and sql database.
  • This means that your app resources share the same hardware, and you maintain greater control over each component and its lifecycle.
  • Instead, consider them as two technologies that can complement and work with each other.
  • As for Docker, some suggest it will become even more equipped to work with container orchestration platforms to secure a more simplified development process.
  • The IKEA analogy used throughout this article shows how they are related and why they are key to executing modern IT management, but not competitors in any way.

3 min read – IBM has built a single, unified serverless platform that allows developers to concentrate on coding and frees up their time. This was done during a time when there weren’t a lot of container runtimes available. Docker containers can run across any desktop, data center or cloud environment.

Expand & Learn

Understanding the strengths of each tool and harnessing their synergy is key to unlocking the full potential of containerized environments. Kubernetes is a powerful container management tool that’s taking the world by storm. In this course, you’ll start with the fundamentals of Kubernetes and what the main components of a cluster look like. You’ll then learn how to use those components to build, test, deploy, and upgrade applications, as well as how to achieve state persistence once your application is deployed. You’ll also learn how to secure your deployments and manage resources, which are crucial DevOps skills.

Out of this newfound portability, container orchestration platforms emerged. Now it was possible to not only universally run applications but to deploy and manage them as well. Docker containers are lightweight and portable environments that allow developers to package kubernetes based assurance and run their applications with all necessary dependencies. Each container runs a single process, providing a way to isolate and manage multiple applications on a single host machine. The initial setup of Kubernetes is more difficult, but it has a lot of functionality.


This combination empowers organizations to build and deploy applications that are highly scalable, resilient, and efficient in utilizing resources. By leveraging Kubernetes with Docker, developers and operators get a robust framework for deploying, maintaining, and scaling containerized applications. Docker simplifies the creation of containers and their dependencies, while Kubernetes orchestrates these containers’ deployment and runtime behavior, making the system more resilient and scalable.

What is Kubernetes vs Docker

This doesn’t mean Docker cannot work with larger deployments; thanks to Swarm mode, it is possible to deploy a cluster of Docker nodes and deploy your containerized applications and microservices at scale. However, they are fundamentally different in how they work and what role they play in distributing containerized applications. Main Kubernetes feature is to decouple infrastructure from application using containers, and it’s also open for other engines that Docker, for example it can run containers with rkt or cri-o. This is an in-house container orchestration tool developed by Docker to play along with containers running on the Docker environment. It allows multiple managing containers that are deployed across multiple host machines.

Dynatrace to acquire Rookout to deliver code debugging in production environments

When a system grows and needs to add many containers networked to each other, standalone Docker can face some growing pains that Kubernetes helps address. By popularizing a lightweight container runtime and providing a simple way to package, distribute and deploy applications onto a machine, Docker provided the seeds or inspiration for the founders of Kubernetes. When Docker came on the scene, Googlers Craig McLuckie, Joe Beda and Brendan Burns were excited by Docker’s ability to build individual containers and run them on individual machines. Running Wasm workloads on Kubernetes is currently an experimental initiative. The stability and performance of resulting operational configurations are not necessarily suitable for major production deployments at this time. However, the potential for running Wasm workloads along with Docker containers through Kubernetes provides developers with compelling opportunities for innovation.

A significant organization may profit from Kubernetes and be able to handle its upkeep, but a smaller initiative may gain from adopting Docker alone. Alternatively, a business may use Docker or OCI containers with a different container scheduler. Kubernetes is often used with Docker containers, although it is compatible with other container types and runtimes. This architecture may appear excessive, but it must provide the fault tolerance and high availability that Kubernetes guarantees. Important K8s components include kubectl, the command-line interface for controlling Kubernetes clusters, and Kube-scheduler, which maintains availability and performance.

The history of Kubernetes

In conclusion, choosing between Docker Compose and Kubernetes hinges on the scale, complexity, and requirements of your project. This is crucial for ensuring your application is available and scalable across diverse infrastructures. When you want to quickly prototype or demonstrate an idea or project to others, Docker Compose can help you package and showcase the application stack. It helps ensure your services remain accessible even in the face of component failures.

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