Distributed Systems and Resilient Cloud Design Virtual Internship
In this advanced virtual internship, students will learn to design and implement highly available, fault-tolerant, and scalable cloud-native applications using distributed systems patterns, load balancing, and reliability engineering. They will gain hands-on experience with cloud infrastructure provisioning, containerization, and microservices architecture to build resilient and scalable cloud applications.
Track Overview
Tasks & Milestones
Distributed Systems Patterns and Principles
AdvancedIn this task, students will research and analyze common distributed systems patterns, such as load balancing, service discovery, and circuit breaking, and how they can be applied to cloud architecture.
Provisioning Cloud Infrastructure with Terraform
AdvancedIn this task, students will use Terraform to provision and manage cloud resources, such as virtual machines, load balancers, and databases, to support a distributed, fault-tolerant application.
Containerizing a Distributed Application with Docker
AdvancedIn this task, students will containerize a distributed application using Docker, implementing best practices for container-based deployment.
Deploying a Distributed Application on Kubernetes
AdvancedIn this task, students will deploy a distributed application on a Kubernetes cluster, implementing best practices for high availability and fault tolerance.
Prerequisites
- • Proficient in at least one programming language
- • Familiarity with cloud computing concepts and services
- • Experience with containerization and orchestration tools
Certificate
Certificate of Completion
Earn a certificate upon successful completion