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Eric Keller

In Network Principles in Practice: Cloud Networking, you will learn about both the networking abstractions and services for building applications in the cloud, and the technology underlying cloud networking. You will be able to architect complex applications in the cloud. In understanding how the cloud providers created their networks, you will be in a better position to troubleshoot applications and analyze different possible ways of architecting applications, and even help design the next generation of networking for cloud providers.

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In Network Principles in Practice: Cloud Networking, you will learn about both the networking abstractions and services for building applications in the cloud, and the technology underlying cloud networking. You will be able to architect complex applications in the cloud. In understanding how the cloud providers created their networks, you will be in a better position to troubleshoot applications and analyze different possible ways of architecting applications, and even help design the next generation of networking for cloud providers.

This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:

MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

Course logo by Jordan Harrison on Unsplash.

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What's inside

Syllabus

Cloud Background
This week will introduce cloud networking. In the beginning of the module, we will explore the basics of cloud computing, including virtualization and data center architectures. Then, we will focus on practical implementation through creating and managing cloud resources using Google Cloud Platform (GCP) and Terraform.
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Read about what's good
what should give you pause
and possible dealbreakers
Explores cloud infrastructure and architecture, a rapidly growing field with high demand in industry, giving learners a chance to fill in-demand roles
Taught by Eric Keller, an instructor at the University of Colorado with extensive experience in software engineering
Can be applied to an accredited Masters of Science in Computer Science degree from the University of Colorado Boulder
Provides an introduction to SDN, a foundational concept in modern networking
Covers multiple industry-leading platforms like Terraform and Google Cloud
Develops practical skills through hands-on labs where learners deploy multiple VPCs and establish WAN connectivity

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Reviews summary

Practical cloud networking with gcp & terraform

According to learners, this course offers a solid foundation in cloud networking principles, particularly for those focusing on Google Cloud Platform (GCP). Many commend the practical, hands-on labs using Terraform as a significant strength, enabling real-world application of concepts. The instructor's clear explanations and expertise are frequently highlighted as highly beneficial. While the course is lauded as excellent for beginners, some more experienced students suggest that certain modules could delve into greater depth or that the initial pace might be a bit slow for those with existing networking knowledge. Earlier feedback noted some lab environment challenges, but recent reviews indicate a largely positive experience, suggesting potential improvements.
Balance of theoretical deep dives and practical application.
"The content is generally good, but I found some parts, particularly around the deep dive into Google's Andromeda, a bit too theoretical and not immediately practical."
"I was hoping for more practical troubleshooting scenarios."
"The theoretical parts were well explained. I enjoyed the modules on network services like load balancing."
Instructor's knowledge and clear explanations are highly praised.
"The instructor was clear and knowledgeable. I now feel confident in architecting complex applications in the cloud."
"The instructor explains everything step-by-step. I'm now much more comfortable with GCP networking."
"The instructor's expertise shines through, and the practical exercises solidify the concepts."
Features highly valued hands-on labs using GCP and Terraform.
"The labs with Terraform were immensely helpful for hands-on experience."
"As someone completely new to cloud networking, the hands-on labs with Terraform made it easy to grasp complex concepts."
"I appreciate the practical use of GCP. The labs were practical. It's a challenging but rewarding experience."
Provides comprehensive, practical cloud networking principles.
"This course provided an incredibly solid foundation in cloud networking, especially focusing on GCP."
"A good overview of network principles in the cloud. The explanations of VPCs and SDN were thorough."
"This course is essential for anyone looking to understand cloud networking with a focus on GCP. It's a comprehensive and current resource."
Earlier feedback noted challenges with lab setup and bugs.
"I found the explanations sometimes rushed, and the lab instructions could have been clearer, especially for the WAN module. I struggled with some of the Terraform setups."
"Very disappointed. The lab environments were buggy, and it made it hard to follow along. I spent more time troubleshooting the setup than learning."
Pace suitable for beginners, but some desired more advanced depth.
"My only minor gripe is that sometimes the pace felt a bit slow if you already had some basic networking knowledge. However, for beginners, it's perfect."
"I felt it could have gone a bit deeper into advanced topics for experienced professionals. Maybe some more complex design patterns would be beneficial."
"As someone completely new to cloud networking, this course was a godsend. Excellent for beginners!"

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 Network Principles in Practice: Cloud Networking with these activities:
Review networking fundamentals
Refreshes knowledge of essential networking concepts, providing a strong foundation for the course.
Browse courses on Networking Fundamentals
Show steps
  • Review basic network components and topologies
  • Understand different types of network protocols
  • Practice configuring basic network devices
Follow Online Tutorials on VPCs and Cloud Interconnections
Expand your knowledge and gain hands-on experience with VPCs and cloud interconnections by following guided online tutorials.
Browse courses on VPCs
Show steps
  • Identify reputable online platforms offering tutorials
  • Select tutorials that align with your learning goals
  • Follow the instructions and complete the exercises provided
Attend Cloud Networking Workshop
Sharpen your understanding of cloud networking concepts and technologies by attending a specialized workshop.
Show steps
  • Research and identify relevant workshops
  • Register for the workshop
  • Attend all sessions and actively participate
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Explore Microsoft's Virtual Network documentation
Deepen your knowledge of Microsoft Azure's Virtual Network by reviewing its official documentation.
Browse courses on Virtual Network
Show steps
  • Read the overview and concepts articles
  • Follow the tutorials on creating and managing virtual networks
Follow tutorials on cloud networking platforms
Provides hands-on experience with cloud networking platforms, reinforcing concepts learned in the course.
Browse courses on Cloud Networking
Show steps
  • Choose a cloud networking platform (e.g., AWS, Azure)
  • Follow tutorials on creating and managing virtual networks
  • Explore advanced features like load balancers and content delivery networks
  • Practice troubleshooting and optimizing cloud networks
Organize course materials and notes
Facilitates efficient review and retention of course content.
Show steps
  • Gather and organize lecture notes, readings, and assignments
  • Create a study guide or outline
  • Review materials regularly to reinforce understanding
Join a Cloud Networking Study Group
Enhance your understanding and retention of cloud networking concepts through collaborative learning and discussions with peers.
Show steps
  • Find or create a study group with fellow students
  • Establish regular meeting times
  • Review course materials, discuss concepts, and work on assignments together
Use Terraform to Configure Cloud Networking Resources
Enhance your proficiency in Terraform by practicing the configuration of cloud networking resources.
Browse courses on Terraform
Show steps
  • Set up a Terraform environment
  • Create Terraform scripts to define and manage cloud networking resources
  • Execute Terraform scripts to provision and manage resources
Create Terraform configurations
Reinforce your understanding of cloud networking concepts and Terraform by creating configurations from scratch.
Browse courses on Cloud Networking
Show steps
  • Set up a Terraform workspace for GCP
  • Define VPC and subnet resources
  • Configure network and security settings
  • Provision the infrastructure
Participate in online study groups or forums
Provides opportunities for collaboration, peer support, and discussion, enhancing understanding and retention.
Browse courses on Networking
Show steps
  • Join online study groups or forums related to cloud networking
  • Actively participate in discussions and share insights
  • Collaborate on projects or assignments
  • Seek support and guidance from peers
Develop a Cloud Networking Glossary
Solidify your understanding of cloud networking terminology by creating a comprehensive glossary of key concepts.
Show steps
  • Review course materials and identify key terms
  • Research and define each term comprehensively
  • Organize the glossary alphabetically or by topic
Participate in a hackathon focused on cloud networking
Test your skills and collaborate with others by joining a hackathon that challenges you to design and implement cloud networking solutions.
Browse courses on Cloud Networking
Show steps
  • Identify an appropriate hackathon
  • Form a team or work independently
  • Develop and present your solution
Solve network design and troubleshooting challenges
Strengthens problem-solving skills and enhances understanding of network design principles.
Browse courses on Network Design
Show steps
  • Identify common network design challenges
  • Practice designing and optimizing network architectures
  • Simulate network problems and troubleshoot issues
Write a blog post or article on a cloud networking topic
Promotes active recall and strengthens understanding by requiring students to synthesize and explain concepts.
Browse courses on Cloud Networking
Show steps
  • Choose a specific cloud networking topic
  • Research and gather information from credible sources
  • Organize and outline the content
  • Write a well-structured and engaging article
Mentor junior students or fellow learners
Reinforces concepts by explaining and assisting others, promoting a deeper understanding.
Browse courses on Cloud Networking
Show steps
  • Identify opportunities to mentor others
  • Prepare and organize resources or materials
  • Provide guidance, support, and feedback
  • Encourage collaboration and knowledge sharing

Career center

Learners who complete Network Principles in Practice: Cloud Networking will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 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 Network Principles in Practice: Cloud Networking.
An updated edition of the highly regarded book, this version continues to provide deep insights into the challenges of data-intensive systems and patterns for building reliable and scalable applications. It's an essential reference for anyone seeking to master the complexities of systems that require robust auto scaling capabilities.
Cornerstone for understanding the underlying principles of building scalable and reliable systems, which are fundamental to auto scaling. It delves into various data systems and their trade-offs, providing essential background knowledge for anyone working with distributed systems. While not solely focused on auto scaling, its comprehensive coverage of scalability patterns makes it a must-read reference.
An expert guide for the Professional Machine Learning Engineer certification, this book covers the entire ML process on GCP, from data and feature engineering to model training and deployment using Vertex AI, TensorFlow, and Kubeflow.
Focused specifically on cloud security on GCP, this book is invaluable for those preparing for the Professional Cloud Security Engineer certification. It covers cloud security basics, GCP security tools, and their implementation through clear explanations and practice exercises.
Similar to the other official study guides by Dan Sullivan, this book key resource for the Professional Data Engineer certification. It covers the concepts and practices required for data engineering on GCP, including data processing, analysis, and machine learning.
Is tailored for individuals pursuing the Professional Cloud Network Engineer certification. It covers all exam objectives and provides hands-on examples using gcloud commands, making it a practical guide for network professionals on GCP.
Aimed at the Associate Cloud Engineer certification, this book provides a solid understanding of deploying and managing applications and infrastructure on GCP. It's an excellent resource for beginners and those looking to validate their foundational GCP skills.
A practical guide focusing on operationalizing scalable data analytics systems on GCP. It covers services like BigQuery, Cloud SQL, Cloud Storage, and Dataflow with hands-on examples. is highly relevant for those interested in data engineering on GCP and preparing for the Professional Data Engineer exam.
Provides a broad understanding of modern networking concepts, including SDN and NFV. It is suitable for beginners and covers practical deployment aspects, QoS/QoE, cloud networking, and IoT. It also offers insights into the impact of new networking on IT careers, making it valuable for students and professionals alike. It serves as a solid foundation before diving into more specialized SDN topics.
Microservices architecture is often employed in systems that require auto scaling due to its focus on independent, scalable services. provides a thorough understanding of designing and implementing microservices. It covers concepts like decomposition, integration, and testing, which are crucial for building systems that can be effectively auto scaled. The second edition includes updated content on contemporary topics like container orchestration and serverless.
Explores the future of Direct Connect and discusses the potential applications of this technology. It great way to learn about the latest trends and developments in this field.
Specifically designed for beginners, this book provides a solid foundation in GCP capabilities. It covers setting up accounts, using core services like Cloud Storage, Compute Engine, and Kubernetes Engine. It is particularly useful for those preparing for the GCP Associate Cloud Engineer certification.
Delves into building, training, and optimizing machine learning models on GCP using services like Google Cloud Machine Learning Engine and TensorFlow. It's a practical guide for data scientists and ML developers looking to leverage GCP for their projects.
Focuses on applying data science techniques on GCP, leveraging its various data services. It's a valuable resource for data scientists and analysts who want to perform data processing and analysis at scale on the platform.
Offers a hands-on introduction to Google Cloud, covering practical skills and use cases. It's suitable for newcomers to the cloud and those who prefer a practical approach to learning GCP's core concepts and services.
Authored by members of Google's SRE team, this book offers invaluable insights into operating large-scale, reliable systems. Auto scaling key practice in SRE for managing load and ensuring availability. provides practical approaches and philosophies for achieving high reliability and efficiency in production environments, making it highly relevant for understanding the operational context of auto scaling.
Offers practical recipes for solving common challenges with Terraform across various cloud platforms. It's useful for deepening understanding through hands-on examples and learning how to apply Terraform to real-world scenarios. The cookbook format makes it a valuable reference tool for specific tasks and configurations.
This guide is ideal for anyone looking to become familiar with the comprehensive list of services in GCP, including compute, storage, database, networking, and big data. It covers essential concepts and provides an overview of best practices for deploying workloads. It good starting point for beginners and cloud professionals migrating to GCP.
Explores using GCP's AI-powered services for various applications, from chatbots to image analysis. It's suitable for those with a background in math and Python who want to apply AI/ML on GCP. It provides step-by-step guidance for building and training models.
A more recent publication, this book reviews SDN concepts and provides a detailed analysis of state-of-the-art distributed SDN controller platforms. It examines challenges and future trends in decentralized SDN, particularly in large-scale networks and IoT. is suitable for those seeking to deepen their understanding of advanced SDN topics and current research.
Explores new concepts for the next generation of the Internet, including virtualization, SDN, 5G, and security. It discusses how SDN fits into this broader picture and addresses topics like resource placement and network control in virtual environments. It's relevant for understanding contemporary network architectures and the role of SDN within them.
Guides the reader through building scalable applications on GCP, starting with App Engine and Compute Engine. It covers implementing authentication, security, and using Cloud APIs, making it a practical guide for developers.
A companion to the 'Site Reliability Engineering' book, this workbook provides practical exercises and examples for implementing SRE principles. It includes real-world scenarios related to managing system load, performance, and reliability, which are directly addressed by auto scaling strategies. It's a valuable resource for applying SRE concepts in practice.
Provides an excellent general overview of GCP services, covering deployment of scalable cloud applications. It's suitable for those new to GCP but with some cloud experience, offering practical insights and worked examples. It serves as a strong foundation for understanding the breadth of GCP's offerings.
Is designed as an entry point to GCP and the Cloud Digital Leader certification. It simplifies basic technological elements of GCP and is suitable for aspiring IT professionals and enthusiasts. It covers cloud fundamentals, data, AI/ML, infrastructure, and security.
Is ideal for those looking to deepen their understanding of using Terraform across multiple major cloud providers. It provides practical guidance and examples for deploying infrastructure on AWS, Azure, and GCP, which aligns well with the multi-cloud focus seen in many of the course titles.
Given the prevalence of AWS in the course titles, this study guide is highly relevant for understanding how auto scaling is implemented and managed within the AWS ecosystem. It covers AWS services like EC2 Auto Scaling, Elastic Load Balancing, and related concepts necessary for designing scalable solutions on AWS. It's a practical resource for those focusing on AWS.
Specifically addresses load balancing within the Microsoft Azure cloud platform, often in conjunction with NGINX. It offers practical solutions and design considerations for implementing load balancing for applications hosted on Azure. It is highly relevant for those focusing on Azure-specific load balancing services.
This e-book focuses specifically on load balancing in cloud environments, which is highly relevant given the course topics. It discusses the options and considerations for implementing load balancing in a dynamic cloud infrastructure, including the use of software load balancers like NGINX. It's a practical guide for those working with cloud platforms.
Highlights the integration of SDN and NFV and how they revolutionize network management. It covers the fundamentals and evolution of both technologies and discusses their combined use to solve traditional networking problems. It also touches upon enhancing network security and integration with technologies like IoT and edge computing, making it relevant for contemporary topics.
Provides a catalog of patterns for designing and implementing microservices, a common architectural style for scalable applications. It covers patterns related to communication, data management, and deployment, all of which have implications for how auto scaling is applied and managed within a microservices architecture.
Offering a collection of practical recipes, this book provides solutions to common tasks and challenges on GCP. It's a useful reference for developers and administrators needing quick, step-by-step guides for implementing various GCP services.
Provides a practical introduction to NFV and its relationship with SDN. It's valuable for understanding how virtualization technologies underpin modern network architectures. It covers fundamental concepts, techniques, and use cases, including how SDN and NFV interact. This book is particularly relevant for those interested in the practical deployment and management of virtualized network functions.
Offers a more contemporary perspective on distributed systems for developers. It covers practical aspects of building and maintaining distributed applications, including considerations for scalability and resilience. It serves as a good bridge between theoretical concepts and real-world implementation, making it relevant for understanding how auto scaling fits into modern application development.
Focused on network automation, this book is highly relevant to the practical implementation of SDN concepts. It teaches essential skills using tools like Python, Git, and Linux in the context of automating network tasks. is particularly useful for network engineers looking to develop the hands-on skills needed for SDN environments.
This foundational book on DevOps culture and practices is essential for understanding the organizational and procedural aspects that enable effective auto scaling. It emphasizes principles like flow, feedback, and experimentation, which are critical for building and operating scalable systems. While not technical deep dive into auto scaling mechanisms, it provides the necessary context for why auto scaling is important in modern IT.
Offers a high-level overview of GCP services through illustrations, making complex concepts more accessible. It's a valuable resource for quickly grasping the relationships between different GCP components and is suitable for visual learners and those seeking a quick reference.
While not solely focused on Terraform, this book provides essential background on the principles and practices of Infrastructure as Code. It helps solidify the understanding of why tools like Terraform are necessary and how they fit into modern IT operations and DevOps workflows. It's a valuable resource for gaining a broader context and understanding the evolution of infrastructure management.
Provides a more in-depth look at WAN design and implementation. It covers topics such as network planning, traffic engineering, and security. It valuable resource for anyone who is involved in the design and implementation of WANs.
Provides a comprehensive overview of WAN optimization. It covers topics such as network architectures, protocols, and applications. It valuable resource for anyone who is interested in learning more about WAN optimization.
Provides a comprehensive overview of WAN management. It covers topics such as network monitoring, performance tuning, and troubleshooting. It valuable resource for anyone who is involved in the management of WANs.
Provides a collection of best practices for WAN design, implementation, and management. It valuable resource for anyone who is involved in the design, implementation, or management of WANs.
Is highly relevant for understanding how load balancing fits into overall system design, particularly in the context of technical interviews at major tech companies. It provides frameworks and case studies that illustrate the role of load balancing in building scalable and reliable systems. While geared towards interviews, it offers practical insights into real-world system architecture.
For those interested in practical implementation, this cookbook provides recipes for using NGINX as a load balancer. It covers various use cases, configurations, and advanced features for achieving high-performance load balancing. is particularly useful for gaining hands-on knowledge with a popular load balancing technology.
Specifically focuses on load balancing within the Microsoft Azure platform, providing a practical guide to leveraging Azure's load balancing options. It valuable resource for individuals working extensively with Azure services and seeking to optimize their application delivery and scalability.
Focuses on the practical aspects of designing and implementing hybrid cloud networks. It's a great choice for anyone looking for a hands-on guide to hybrid networking.
Explores the future of hybrid networks and discusses the trends and technologies that are shaping this field. It's a must-read for anyone who wants to stay ahead of the curve.
Practical guide to configuring and using VPNs.

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