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Handling Data and Stateful Applications in Docker and Kubernetes

Elton Stoneman

You can run stateful applications and databases in containers - but should you? This course teaches you how the container filesystem works, how to persist data outside of containers, and how to choose storage options for Docker and Kubernetes.

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You can run stateful applications and databases in containers - but should you? This course teaches you how the container filesystem works, how to persist data outside of containers, and how to choose storage options for Docker and Kubernetes.

Containers are meant to be short-lived - you replace them any time you update your app code or apply a security patch. What happens to the data inside containers when you replace them, and how can you get the benefits of containerization for stateful applications?

In this course, Handling Data and Stateful Applications in Docker and Kubernetes, you'll learn how storage works in containers – how the filesystem is constructed and how you can persist data outside of the container lifecycle.

First, you'll learn about image layers and volume mounts in Docker. Then, you'll explore how to inject configuration files into containers with Kubernetes. Next, you'll explore options for writing persistent data in Kubernetes clusters. Finally, you'll discover about optimizing Docker images and managing storage on servers and registries.

By the end of the course, you'll understand all the choices for handling data in containers, and you'll be able to run your own stateful apps in Docker and Kubernetes.

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What's inside

Syllabus

Course Overview
Understanding the Container Filesystem
Reading Application Configuration in Kubernetes Volumes
Persisting Data in Kubernetes
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Managing Storage on Servers and Registries

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches how to choose storage options for Docker and Kubernetes, which is standard in industry
Explores image layers and volume mounts in Docker, which is foundational for containerization
Examines ways to inject configuration files into containers with Kubernetes, which is a key feature of container orchestration
Develops strategies for writing persistent data in Kubernetes clusters, which is essential for stateful applications
Provides guidance on optimizing Docker images and managing storage on servers and registries, which is practical for DevOps
Requires students to have a foundational understanding of containers, which may not be suitable for absolute beginners

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Activities

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Career center

Learners who complete Handling Data and Stateful Applications in Docker and Kubernetes will develop knowledge and skills that may be useful to these careers:
Docker Engineer
Docker Engineers are responsible for the management and operation of Docker containers. They work to ensure that containers are running smoothly and efficiently, and they troubleshoot and resolve any issues that arise. Docker Engineers must have a deep understanding of Docker, as well as the ability to work effectively with other engineers and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course can help Docker Engineers build a foundation in the management and operation of Docker containers.
Kubernetes Engineer
Kubernetes Engineers are responsible for the management and operation of Kubernetes clusters. They work to ensure that clusters are running smoothly and efficiently, and they troubleshoot and resolve any issues that arise. Kubernetes Engineers must have a deep understanding of Kubernetes, as well as the ability to work effectively with other engineers and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course can help Kubernetes Engineers build a foundation in the management and operation of Kubernetes clusters.
Site Reliability Engineer
Site Reliability Engineers (SREs) are responsible for the reliability and performance of software systems. They work to identify and mitigate risks, and they ensure that systems are always available and performant. SREs must have a deep understanding of software engineering, as well as the ability to work effectively with operations teams. The Handling Data and Stateful Applications in Docker and Kubernetes course can help SREs build a foundation in containerization and Kubernetes, which are essential technologies for modern SRE practices.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. They work to automate and streamline the software development process, and they ensure that software is deployed and maintained in a reliable and efficient manner. DevOps Engineers must have a strong understanding of both development and operations, as well as the ability to work effectively with both teams. The Handling Data and Stateful Applications in Docker and Kubernetes course can help DevOps Engineers build a foundation in containerization and Kubernetes, which are essential technologies for modern DevOps practices.
Data Engineer
Data Engineers are responsible for the design, development, and maintenance of data pipelines. They work to ensure that data is collected, processed, and stored in a reliable and efficient manner. Data Engineers must have a strong understanding of data engineering principles, as well as the ability to work effectively with other engineers and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course can help Data Engineers build a foundation in containerization and Kubernetes, which are essential technologies for modern data engineering practices.
Storage Architect
Storage Architects design and implement storage systems for organizations. They work to ensure that storage systems are scalable, secure, and reliable. Storage Architects must have a deep understanding of storage technologies, as well as the ability to work effectively with other engineers and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course can help Storage Architects build a foundation in the management and operation of storage systems for containers and Kubernetes.
Cloud Developer
Cloud Developers design and develop software applications that run in the cloud. They work to ensure that applications are scalable, secure, and reliable. Cloud Developers must have a deep understanding of cloud computing technologies, as well as the ability to work effectively with other engineers and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course can help Cloud Developers build a foundation in containerization and Kubernetes, which are essential technologies for modern cloud development practices.
Systems Administrator
Systems Administrators are responsible for the management and operation of computer systems. They work to ensure that systems are running smoothly and efficiently, and they troubleshoot and resolve any issues that arise. Systems Administrators must have a deep understanding of operating systems, as well as the ability to work effectively with other engineers and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course can help Systems Administrators build a foundation in the management and operation of containerized and Kubernetes-based systems.
Cloud Architect
Cloud Architects design, build, and maintain cloud computing systems. They work with clients to understand their business needs and translate those needs into technical requirements. Cloud Architects must have a deep understanding of cloud computing technologies, as well as the ability to design and implement scalable, secure, and reliable systems. The Handling Data and Stateful Applications in Docker and Kubernetes course can help Cloud Architects build a foundation in containerization and Kubernetes, which are essential technologies for modern cloud computing.
Software Engineer
Software Engineers design, develop, and maintain software systems. They work to ensure that systems are scalable, secure, and reliable. Software Engineers must have a deep understanding of software engineering principles, as well as the ability to work effectively with other engineers and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course may be useful for Software Engineers who are interested in learning more about containerization and Kubernetes.
Database Administrator
Database Administrators are responsible for the management and operation of databases. They work to ensure that databases are scalable, secure, and reliable. Database Administrators must have a deep understanding of database technologies, as well as the ability to work effectively with other engineers and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course may be useful for Database Administrators who are interested in learning more about containerization and Kubernetes.
Technical Architect
Technical Architects design and implement technical solutions for organizations. They work with stakeholders to understand business needs and translate those needs into technical requirements. Technical Architects must have a deep understanding of technology, as well as the ability to work effectively with other architects and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course may be useful for Technical Architects who are interested in learning more about containerization and Kubernetes.
IT Manager
IT Managers are responsible for the planning, implementation, and management of information technology systems. They work to ensure that IT systems are aligned with business goals and that they are used effectively and efficiently. IT Managers must have a deep understanding of IT technologies, as well as the ability to work effectively with other managers and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course may be useful for IT Managers who are interested in learning more about containerization and Kubernetes.
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. They work with data from a variety of sources, including databases, spreadsheets, and web logs. Data Analysts must have a strong understanding of data analysis techniques, as well as the ability to communicate their findings effectively. The Handling Data and Stateful Applications in Docker and Kubernetes course may be useful for Data Analysts who are interested in learning more about containerization and Kubernetes.
Network Engineer
Network Engineers design, implement, and manage computer networks. They work to ensure that networks are scalable, secure, and reliable. Network Engineers must have a deep understanding of networking technologies, as well as the ability to work effectively with other engineers and teams. The Handling Data and Stateful Applications in Docker and Kubernetes course may be useful for Network Engineers who are interested in learning more about containerization and Kubernetes.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Handling Data and Stateful Applications in Docker and Kubernetes.
Delves into the mechanisms and advanced options available within Docker. It provides a more in-depth look at concepts such as Dockerfiles, image management, and container networking and security. It offers a comprehensive reference for Docker users looking to optimize and enhance their understanding and usage of the platform.
Focuses on practical Kubernetes applications and use cases, with a strong emphasis on managing and deploying containerized applications in a production environment. It provides hands-on guidance on Kubernetes architecture, cluster management, application deployment, and troubleshooting.
Is an official guide to Kubernetes, providing a comprehensive overview of its architecture, components, and capabilities. It offers insights into the practical use of Kubernetes for managing containerized workloads, including cluster management, application deployments, and networking.
Provides a deep dive into the architectural patterns and principles involved in designing and building scalable, reliable, and maintainable data-intensive systems. It covers topics such as data modeling, storage systems, data processing, and distributed systems.
Focuses on real-world use cases and scenarios for Docker. It provides practical examples and guidance on using Docker for tasks such as application development, deployment, and continuous integration. It valuable resource for practitioners looking to apply Docker in their projects.
Offers a practical guide to microservices architecture. It covers topics such as microservice design principles, service discovery, and distributed systems. It provides insights into the challenges and benefits of microservices and useful resource for those looking to adopt a microservices approach.
Provides an introduction to Hadoop, a popular framework for data-intensive computing. It covers topics such as Hadoop architecture, data storage, and data processing. It valuable resource for understanding the concepts and principles of big data processing.

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