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Cloud Native Application Architecture

Nanodegree Program

Meet the growing demand for cloud native architects and learn to identify the best application architecture solutions for an organization’s needs.

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04Days06Hrs56Min35Sec

  • Estimated time
    4 Months

    At 10 hours/week

  • Enroll by
    September 28, 2022

    Get access to the classroom immediately upon enrollment

  • Prerequisites
    HTTP, Python, Git, Linux, Docker
In Collaboration With
  • SUSE

What you will learn

  1. Cloud Native Application Architecture

    Estimated 4 months to complete

    You’ll master the skills necessary to become a successful cloud native architect. Learn to run and manage scalable applications in a cloud native environment, using open source tools and projects like ArgoCD, gRPC, and Grafana.

    Prerequisite knowledge

    1. Cloud Native Fundamentals

      Throughout this course, students will learn how to structure, package, and release an application to a Kubernetes cluster, while using an automated CI/CD pipeline. Students will start by applying a suite of good development practices within an application, package it with Docker and distribute it through DockerHub. This will transition to the exploration of Kubernetes resources and how these can be used to deploy an application. At this stage, students will be comfortable using k3s to bootstrap a lightweight and functional Kubernetes cluster. Next, students will examine template configuration managers, such as Helm, to implement the parameterization of Kubernetes declarative manifests. Towards the end of the course, students will learn the fundamentals of Continuous Integration and Continuous Delivery (CI/CD) with GitHub Actions and ArgoCD and completely automate the release process for an application.

    2. Message Passing

      In this course, students will learn how to refactor microservice capabilities from a monolithic architecture, and employ different forms of message passing in microservices. To begin, students will create a migration strategy to refactor a service from a monolith to its own microservice and implement the migration. Next, students will be introduced to industry standard best practices for message passing in a service architecture and finally, students will focus on design decisions and the implementations of different forms of message passing in development and production systems.

    3. Observability

      This course covers the fundamentals of observability in distributed systems. Today, Kubernetes has become the de facto standard for Cloud Native applications and is widely used for distributed systems. To be effective as an observability expert, it is critical to understand how to monitor and respond to the health and performance of both your Kubernetes clusters and the applications hosted on them. This course will teach students how to collect system performance data using Prometheus, how to collect application tracing data using Jaeger, and how to visualize the results in a dashboard using Grafana.

    4. Microservices Security (Optional)

      Learn how to harden a Docker and Kubernetes microservices architecture. To begin, students will learn STRIDE to threat model and reason about microservice security. Next, students will dig deep to explore the Docker and Kubernetes attack surface and be introduced to industry open-source tools such as Docker-bench and Kube-bench to evaluate and harden Docker and Kubernetes weaknesses. Students will then learn about software composition analysis with Trivy and Grype to evaluate image layers and common application security vulnerabilities and provide remediation. Finally, students will deploy runtime security monitoring to introspect running microservices for security signals and learn how to respond to a security incident.

All our programs include:

  • Real-world projects from industry experts

    With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.

  • Technical mentor support

    Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.

  • Career services

    You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.

  • Flexible learning program

    Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Program offerings

  • Class content

    • Real-world projects
    • Project reviews
    • Project feedback from experienced reviewers
  • Student services

    • Technical mentor support
    • Student community
  • Career services

    • Github review
    • LinkedIn profile optimization

Succeed with personalized services.

We provide services customized for your needs at every step of your learning journey to ensure your success.

Get timely feedback on your projects.

  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
  • 1,400+

    project reviewers

  • 2.7M

    projects reviewed

  • 88/100

    reviewer rating

  • 1.1 hours

    avg project review turnaround time

Mentors available to answer your questions.

  • Support for all your technical questions
  • Questions answered quickly by our team of technical mentors
  • 1,400+

    technical mentors

  • 0.85 hours

    median response time

Learn with the best.

Learn with the best.

  • Katie Gamanji

    Ecosystem Advocate for Cloud Native Computing Foundation

    Katie's focus is to foster the growth and visibility of the End User Community while bridging the gap with other ecosystem units. In past roles, Katie contributed to the build-out of platforms that gravitate towards cloud-native principles and open-source tooling.

  • Justin Lee

    Data Platform Engineer at Stitch Fix

    Justin specializes in designing modern data platforms and scalable systems, and consults for global Fortune 500 companies. He has a BS in Computer Science from UCLA and mentors developers with Codementor.

  • Nick Reva

    Technical Manager, Engineering security, Snapchat

    Nick has 14+ years experience in Security Engineering. He currently leads teams that build highly scalable security services in cloud native environments at companies such as SpaceX and Snapchat.

  • Jay Smith

    App Modernization Specialist at Google Cloud

    Jay has over 15 years experience in technology and open source solutions. Currently Jay helps Google Cloud customers modernize their application platforms using best practices in cloud native technologies.

Cloud Native Application Architecture

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    Best Value
  • Learn

    Learn to run and manage scalable applications in a cloud native environment, using open source tools and projects like ArgoCD, gRPC, and Grafana.
  • Average Time

    On average, successful students take 4 months to complete this program.
  • Benefits include

    • Real-world projects from industry experts
    • Technical mentor support
    • Career services

Program details

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Cloud Native Application Architecture

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