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Cloud Native Applications

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May 1, 2024 Updated June 3, 2025 23 minute read

Navigating the Landscape of Cloud Native Applications

Cloud native applications represent a modern approach to building and deploying software, designed specifically to thrive in cloud computing environments. Unlike traditional applications that might be adapted to run on the cloud, cloud native applications are engineered from the ground up to leverage the unique capabilities of the cloud, such as scalability, resilience, and flexibility. This architectural style enables organizations to develop and update applications rapidly, responding to market changes and customer demands with unprecedented agility. The core idea is to build systems that are not only hosted in the cloud but are intrinsically designed for its dynamic and distributed nature.

Working with cloud native applications can be particularly engaging due to its focus on cutting-edge technologies and methodologies. Imagine building complex systems as a collection of small, independent services that can be updated and scaled individually, allowing for faster innovation and reduced risk. Furthermore, the emphasis on automation in the development and deployment lifecycle means you spend less time on manual, repetitive tasks and more time on creative problem-solving and feature development. The collaborative nature of DevOps practices, central to cloud native development, fosters a dynamic team environment geared towards continuous improvement and learning.

Path to Cloud Native Applications

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We've curated 13 courses to help you on your path to Cloud Native Applications. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected ten 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 Cloud Native Applications.
While not exclusively about cloud native applications, this book provides a deep dive into the challenges of designing data-intensive applications, which are often deployed in the cloud. It covers topics such as data modeling, data storage, and data processing. (fit_score: 80, difficulty_score: 80)
Provides a practical guide to designing and building microservices-based applications. It covers topics such as microservice architecture, API design, and service discovery. (fit_score: 75, difficulty_score: 60)
Provides a comprehensive overview of serverless architectures, with a focus on AWS. It covers topics such as serverless computing, event-driven programming, and cloud-native development. (fit_score: 70, difficulty_score: 70)
Provides a practical guide to building microservices with Go. It covers topics such as microservice architecture, API design, and testing. (fit_score: 65, difficulty_score: 50)
Provides a comprehensive overview of cloud native DevOps, covering everything from the basics to more advanced topics such as continuous delivery and infrastructure as code. (fit_score: 60, difficulty_score: 60)
While not exclusively about cloud native applications, this book provides a deep dive into Kubernetes, which popular container orchestration platform used in cloud native environments. (fit_score: 55, difficulty_score: 70)
Provides a comprehensive overview of cloud native development with Java. It covers topics such as microservice architecture, API design, and cloud-native tools. (fit_score: 45, difficulty_score: 50)
Provides a hands-on guide to building serverless applications with Python. It covers topics such as serverless computing, event-driven programming, and cloud-native development. (fit_score: 30, difficulty_score: 30)
Provides a comprehensive overview of cloud native development with Go. It covers topics such as microservice architecture, API design, and cloud-native tools. (fit_score: 20, difficulty_score: 40)
Provides a comprehensive overview of cloud native architecture. It covers topics such as microservice architecture, API design, and cloud-native patterns. (fit_score: 15, difficulty_score: 50)
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