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Running a MongoDB Database in Kubernetes with StatefulSets

This is a self-paced lab that takes place in the Google Cloud console. Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on-premise hardware. This lab provides a quick introduction to running a MongoDB database on Kubernetes Engine using Docker.

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What's inside

Syllabus

Running a MongoDB Database in Kubernetes with StatefulSets

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Know what's good

, what to watch for

, and possible dealbreakers

Uses containers, which are increasingly popular for scaling applications across multiple cloud providers and on-premise hardware, offering flexibility in deployment strategies

Offered by Google Cloud, which is recognized for its expertise in cloud computing and containerization technologies, providing learners with industry-relevant insights

Focuses on Kubernetes Engine, a leading platform for container orchestration, enabling learners to manage and scale containerized applications effectively

Employs Docker, a widely adopted containerization technology, equipping learners with practical skills for building and deploying containerized applications

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Running a MongoDB Database in Kubernetes with StatefulSets with these activities:

Review Kubernetes Fundamentals

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Reinforce your understanding of Kubernetes concepts, including pods, deployments, and services, to better grasp the intricacies of running MongoDB within a Kubernetes cluster.

Browse courses on Kubernetes

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Review Kubernetes documentation.
Complete a basic Kubernetes tutorial.
Familiarize yourself with kubectl commands.

Brush up on MongoDB Basics

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Revisit fundamental MongoDB concepts like documents, collections, and basic queries to prepare for deploying and managing it in a Kubernetes environment.

Browse courses on MongoDB

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Review MongoDB documentation.
Practice basic CRUD operations.
Understand MongoDB's data model.

Follow Kubernetes StatefulSets Tutorials

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Deepen your understanding of StatefulSets by working through practical tutorials that demonstrate their use in managing stateful applications like databases.

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Find tutorials on Kubernetes StatefulSets.
Deploy a simple application using a StatefulSet.
Experiment with scaling and updating the application.

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Document Your MongoDB on Kubernetes Deployment

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Solidify your learning by creating a detailed document outlining the steps involved in deploying MongoDB on Kubernetes using StatefulSets, including configuration details and troubleshooting tips.

Browse courses on MongoDB

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Outline the deployment process.
Document each step with clear instructions.
Include diagrams and screenshots for clarity.
Add troubleshooting tips and common issues.

Automate MongoDB Deployment with Infrastructure as Code

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Enhance your skills by automating the deployment of MongoDB on Kubernetes using Infrastructure as Code tools like Terraform, enabling repeatable and consistent deployments.

Browse courses on Terraform

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Choose an Infrastructure as Code tool.
Define the infrastructure for MongoDB deployment.
Automate the deployment process.
Test and validate the deployment.

Contribute to a Kubernetes MongoDB Helm Chart

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Deepen your understanding and contribute to the community by contributing to an open-source Helm chart for deploying MongoDB on Kubernetes, improving its usability and features.

Browse courses on Helm

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Find an open-source Helm chart for MongoDB.
Identify areas for improvement.
Contribute code or documentation.
Submit a pull request.

Career center

Learners who complete Running a MongoDB Database in Kubernetes with StatefulSets will develop knowledge and skills that may be useful to these careers:

DevOps Engineer

A DevOps Engineer focuses on bridging the gap between software development and operations, and this course helps build that bridge. This course teaches how to operationalize a database by deploying MongoDB on Kubernetes, which is a core function of a DevOps Engineer. The course enables a better understanding of how containerization and orchestration facilitate continuous delivery and integration pipelines. Those who wish to become a DevOps Engineer should take this course to understand how to manage applications and their dependencies from a practical standpoint.

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Cloud Engineer

A Cloud Engineer is responsible for designing, implementing, and managing cloud-based systems, and this course directly aligns with that responsibility. This course provides hands-on experience with container orchestration using Kubernetes, a key technology for deploying and scaling applications in the cloud, which is crucial for a Cloud Engineer. The course focuses on running MongoDB in a Kubernetes environment, providing a practical understanding of managing databases in a cloud-native manner. One who wants to become a Cloud Engineer would benefit from this course as it showcases the ability to deploy and scale critical data services.

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Site Reliability Engineer

A Site Reliability Engineer focuses on the reliability and performance of systems, and this course directly relates to that core responsibility. The course deals with the hands-on management of a MongoDB database within a Kubernetes environment, a key aspect of modern infrastructure. It provides practical experience in ensuring the availability and scalability of a critical data service. This makes the course appropriate for those looking to become Site Reliability Engineers as it offers opportunities to understand the practical implications of managing applications in a production setting.

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Infrastructure Engineer

An Infrastructure Engineer builds and maintains the underlying technologies that support applications. This course will familiarize them with a very popular method of infrastructure management. This course explores the practical steps of deploying and managing a MongoDB database using Kubernetes, a core modern infrastructure technology. It provides hands-on experience of deploying and scaling applications within a cloud setting. This course may be useful for an aspiring Infrastructure Engineer as it exposes one to the tools and techniques required for building modern infrastructure.

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Platform Engineer

A Platform Engineer builds and maintains the underlying infrastructure that supports applications, and this course will be helpful in that process. This course focuses on using Kubernetes to deploy and manage a MongoDB database, a common task for a Platform Engineer. It provides a practical understanding of how to build and manage scalable data platforms using container orchestration. One who wishes to become a Platform Engineer may well benefit from a course like this, as it deals with the fundamental aspects of managing the infrastructure that application developers rely on.

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Database Administrator

A Database Administrator ensures databases are running smoothly, and this course provides relevant training for those running databases in modern environments. This course explores the practical aspects of deploying and managing a MongoDB database using Kubernetes, a crucial skill for a Database Administrator in today's cloud-based systems. The course will help in developing an understanding of how databases can be scaled and managed in a containerized environment. This course is well suited for those who wish to move into modern database administration, as it offers hands-on experience.

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Cloud Solutions Architect

A Cloud Solutions Architect designs cloud computing solutions, and this course provides practical, hands-on experience with cloud technologies. The course walks through deploying a MongoDB database on Kubernetes, giving a Cloud Solutions Architect valuable insight into real-world cloud deployments. It helps one obtain a better understanding of how to design and implement scalable, containerized application deployments in the cloud. A course like this is a good way for an aspiring Cloud Solutions Architect to see concepts in action, which builds confidence for future projects.

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Systems Administrator

A Systems Administrator manages and maintains computer systems, and this course provides practical skills that are directly applicable to that role. This course explores running a MongoDB database on Kubernetes, which is a modern approach to managing scalable applications. For aspiring Systems Administrators, this hands-on experience is essential for understanding how to manage containerized applications and databases. The course allows one to work with essential tools like Docker and Kubernetes, which are used daily in a system administrator's role.

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Backend Developer

A Backend Developer works on the server-side logic and databases that power applications, and this course is relevant for that kind of work. The course covers the deployment and management of a MongoDB database using Kubernetes which is important for scaling backend systems. It provides a tangible understanding of how databases operate in containerized environments. This course may be useful for a Backend Developer who wants to learn how their work is managed after development.

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Application Architect

An Application Architect designs the structure of applications. This course focuses on containerized systems, which are important in understanding how an application may be deployed. This course on running a database with Kubernetes provides a perspective on real-world deployments. An Application Architect may find this perspective helpful as they design new systems, enabling an understanding of the operational requirements of applications. The practical experience offered by the course helps one learn more about database deployment in containerized applications.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications, and this course will help build an understanding of modern software deployment. This course covers how to deploy and manage a common database, MongoDB, in a Kubernetes environment, which is an increasingly common practice in software engineering. It may be useful for a Software Engineer to have practical exposure to containerization, orchestration, and database management in a cloud-native setting. This course gives software engineers a deeper appreciation of the underlying technologies that their applications run on.

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Technical Project Manager

A Technical Project Manager oversees technical projects, and they may be interested in taking this course. This course teaches the practical aspects of deploying a MongoDB database within a Kubernetes cluster environment, which will help build technical awareness. It provides a better understanding of the processes involved in deploying, scaling, and managing database systems in a cloud environment. A course like this is useful for a Technical Project Manager who wants to better understand the technical aspects of a project.

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Data Engineer

A Data Engineer builds and maintains the infrastructure that allows for efficient data storage and analysis. This course focuses on the use of a specific database, MongoDB, which is widely used in the field of data engineering. This course may be helpful as it helps one understand the relationship between a database and the containerized environment in which it runs. Data Engineers can also benefit from understanding the practical issues associated with scaling and maintaining a database.

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Data Scientist

A Data Scientist analyzes data to extract insights and actionable information. This course provides a practical understanding of how data is managed in cloud environments. This course teaches how to run a database using Kubernetes, which is a common technique for scaling applications. A Data Scientist may find a course like this useful for understanding the infrastructure that supports the databases and data pipelines that they may work with. While not directly related to their main analytic responsibilities, it helps them build a more holistic view of the technologies they depend on.

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Release Manager

A Release Manager oversees the process of deploying software releases, and this course provides relevant information on modern release techniques. This course covers the running of a MongoDB database using Kubernetes, which is a modern approach for deploying scalable databases. It provides hands-on experience with how applications can be deployed and managed in a containerized environment. This course may be useful for Release Managers who want to understand the practical aspects of continuous delivery and the technology in use.

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The Kubernetes Book

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Covers the security aspects of Kubernetes, including how to secure your cluster and applications.

Running a MongoDB Database in Kubernetes with StatefulSets

What's inside

Syllabus

Good to know

Save this course

Activities

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