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Hands-On Docker for Microservices with Python: Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes
83% of respondents would recommend this to a friend
KGS 5622
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By the end of this book, you'll be able to build production-grade microservices as well as orchestrate a complex system of services using containers.
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What Stands Out
Product Details
- Step-by-step guide to building microservices using Python and Docker
- Learn to use Docker containers to create, operate, and deploy microservices
- Develop a RESTful microservice in Python with Flask and Postgres database
- Configure and secure Kubernetes clusters for production-ready environments
- Monitor a complete system for early detection of problems
- Strategies for collaboration and communication between teams
| Publisher | Packt Publishing |
| Publication date | November 22, 2019 |
| Language | English |
| Print length | 408 pages |
| ISBN-10 | 1838823816 |
| ISBN-13 | 978-1838823818 |
| Item Weight | 1.54 pounds (700 grams) |
| Dimensions | 7.5 x 0.92 x 9.25 inches (19.1 x 2.3 x 23.5 cm) |
Who Should Buy?
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Aspiring Developers
Beginners aiming to learn Docker and microservices will benefit from practical, hands-on experience with Python implementations.
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DevOps Professionals
Individuals in DevOps roles can enhance their skills in deploying and managing microservices using Docker and Python effectively.
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Team Collaborators
Teams looking to implement microservice architecture can streamline workflows and project management using the insights provided.
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Complete Beginners
Users with no prior programming or Docker knowledge might find the content challenging and overwhelming to grasp.
Product Description
About This Item
Are you ready to take your microservices architecture to the next level? Look no further than the "Hands-On Docker for Microservices with Python." This comprehensive guide will walk you through the design, deployment, and operation of a complex system using Docker and Kubernetes. With the rise of microservices, it's crucial to have a solid understanding of the tools and technologies that enable their seamless integration. Docker has become the de facto standard for packaging and deploying microservices, while Kubernetes provides a robust and scalable infrastructure for managing containerized applications. This hands-on guide is tailor-made for developers and system administrators looking to leverage the power of Docker and Kubernetes for their microservices architecture. Even if you're new to Docker and Kubernetes, this book will provide you with a solid foundation to get started. Throughout this book, you'll learn how to: - Design a microservices architecture using Docker containers - Package your microservices into Docker images for easy deployment - Manage and orchestrate your microservices with Kubernetes - Scale your microservices infrastructure to handle high traffic - Monitor and troubleshoot your microservices using Docker and Kubernetes tools Not only will you gain practical knowledge and skills, but you'll also benefit from real-world examples and best practices.
By the end of this book, you'll be equipped to design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes. Whether you're a developer looking to enhance your microservices skills or a system administrator wanting to streamline your infrastructure, "Hands-On Docker for Microservices with Python" is your go-to resource. Don't miss out on this opportunity to take your microservices architecture to the next level. Grab your copy today and join the Docker and Kubernetes revolution!.
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Web Services Editorial Review
**** This book emerges as an essential resource for individuals familiar with Software Design and Architecture but lacking hands-on experience in microservices. While it is geared towards readers who have a basic understanding of Docker and Python, the accessibility of the content allows even those unfamiliar with these tools to grasp key concepts. The author has done an exceptional job of breaking down complex topics related to microservices, providing clear explanations accompanied by well-structured diagrams. These visuals significantly enhance comprehension, particularly for readers trying to connect theoretical concepts to practical usage. One of the standout features of this book is its inclusion of Docker containers within the context of Continuous Integration and Continuous Deployment (CI/CD)—a topic often overlooked in similar materials. The examples presented are straightforward yet relevant, bridging the gap between theoretical knowledge and real-world application. However, areas for improvement have been noted by some readers, particularly regarding the clarity of certain diagrams, some of which were described as small and not very helpful. Additionally, suggestions for incorporating more information on load balancing and further exploration into service scoping could enhance the content. Overall, this book serves as a robust introduction to Docker, Kubernetes, and microservices while also doubling as a preparatory tool for System Design interviews at major tech companies. Those aiming to establish a foundational understanding of modern software architecture will find this guide both informative and practical. **
Customer Reviews & Ratings
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Pros
- Thorough breakdown of microservices and their applications
- Clear explanations of concepts, especially around Docker and CI/CD
- Simple yet relevant programming examples
- Helpful diagrams that aid in understanding
- Good preparation for System Design interviews
Cons
- Some diagrams are small and lack clarity
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KGS 5622
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Features & Benefits
- Design, deploy and operate complex systems with multiple microservices using Docker and Kubernetes
- Learn to create workflows to manage independent deployments with CI and GitOps
- Develop REST microservice in Python and encapsulate the code for services into containers using Docker
- Orchestrate a system of containers and manage multiple services with Kubernetes
- Configure Kubernetes clusters for production-ready environments and secure them
- Detect and debug critical problems with the help of logs and metrics
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