April 29, 2024
3 minute read
As our world becomes increasingly digital, the demand for cloud computing services is skyrocketing. Cloud Native Engineers are the experts who design, build, and manage these cloud-based systems. They play a critical role in enabling businesses to take advantage of the many benefits of the cloud, such as increased agility, scalability, and cost efficiency.
What is a Cloud Native Engineer?
Cloud Native Engineers are responsible for the entire lifecycle of cloud-based applications and services, from design and development to deployment and management. They work closely with other members of the IT team, such as system administrators, network engineers, and application developers, to ensure that cloud-based systems are reliable, scalable, and secure.
Skills and Knowledge
To be successful as a Cloud Native Engineer, you will need a strong foundation in cloud computing concepts and technologies. This includes a deep understanding of cloud platforms such as AWS, Azure, and GCP, as well as experience with containerization technologies such as Docker and Kubernetes. You will also need strong programming skills and experience with DevOps practices.
Day-to-Day Responsibilities
The day-to-day responsibilities of a Cloud Native Engineer can vary depending on the size and structure of the organization. However, some common tasks include:
- Designing and developing cloud-based applications and services
- Deploying and managing cloud-based systems
- Monitoring and troubleshooting cloud-based systems
- Collaborating with other members of the IT team
- Staying up-to-date on the latest cloud computing technologies
Challenges
Cloud Native Engineering is a rapidly evolving field, and there are a number of challenges that engineers face. These challenges include:
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Find a path to becoming a Cloud Native Engineer. Learn more at:
OpenCourser.com/career/8j0n9k/cloud
Reading list
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Provides a practical guide to building and scaling cloud-native applications using Kubernetes and DevOps principles. It's particularly useful for those looking to understand how Kubernetes fits into a DevOps workflow and is often recommended for developers and DevOps engineers.
Considered one of the best Kubernetes books, it offers a comprehensive guide to developing and running applications on Kubernetes. It covers container technologies before diving into Kubernetes, making it accessible even for those new to containers.
Focuses specifically on the patterns and practices for designing applications that are inherently suited for cloud platforms. It provides a mental model for cloud-native applications and valuable resource for architects and developers.
Observability critical aspect of operating cloud-native systems. provides a hands-on guide to implementing observability using open-source tools, covering logs, metrics, and traces.
A practical guide to developing and deploying cloud native applications using Kubernetes, focusing on best practices, architecture, and implementation.
A popular and highly-regarded book for getting started with Kubernetes. It covers the fundamentals and helps readers understand how Kubernetes can improve velocity, agility, reliability, and efficiency in cloud-native environments. This solid introductory text.
A focused book on cloud-native observability using OpenTelemetry, a key open standard. It teaches how to produce telemetry data for gaining visibility into application performance in cloud-native environments.
Is geared towards those operating Kubernetes in production environments. It provides guidance on building successful application platforms, covering topics essential for real-world cloud-native deployments.
Microservices are a key architectural style in cloud-native development. widely recommended resource for understanding the design principles and challenges of building microservices, providing essential background knowledge for cloud-native architectures.
This handbook provides in-depth details on patterns, tools, techniques, and processes for building enterprise-grade cloud-native systems. It covers various architectural styles like microservices, event-driven, and serverless in a cloud-native context.
Serverless computing significant part of the cloud-native landscape. focuses on building serverless architectures specifically on AWS, providing practical guidance and patterns for this approach.
Authored by Google engineers, this book provides deep insights into how Google manages large-scale production systems to achieve high reliability. SRE principles are closely aligned with cloud-native operations, making thcrucial read for those in operations or aiming for resilient systems.
While not exclusively about Cloud Native technology, this book is foundational to understanding the cultural and organizational shifts necessary for successful cloud-native adoption. It provides a practical roadmap for implementing DevOps practices that are essential in a cloud-native world.
Presents research-backed insights into the practices that drive high performance in technology organizations. It provides a scientific basis for the benefits of DevOps and cloud-native approaches, making it valuable for understanding the business impact.
A deep dive into the infrastructure and technologies that underpin cloud native applications, including containers, microservices, and DevOps practices.
This classic in the field of software development that lays the groundwork for many cloud-native practices, particularly CI/CD. It details the principles and technical practices for rapid, reliable, and low-risk software releases. While not recent, its principles are timeless and highly relevant.
Cloud-native applications often involve complex data management. explores the challenges of data systems and provides a comprehensive look at the trade-offs in designing data-intensive applications, highly relevant for architects in a cloud-native world.
Provides a high-level overview of the challenges and choices involved in adopting cloud native practices within an organization. It's less of a technical deep dive and more of a guide for navigating the transformation process, useful for leaders and teams embarking on a cloud-native journey.
A classic work on continuous delivery, covering principles, practices, and tools for automating software delivery.
A guide to developing cloud native applications in Java, covering best practices, patterns, and tools.
A guide to developing cloud native applications in Python, covering best practices, patterns, and tools.
A catalog of design patterns for microservices architectures, covering common challenges and solutions.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/8j0n9k/cloud
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