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Site Reliability Engineering (SRE) Virtual Internship

This comprehensive virtual internship track prepares students for a career as a Site Reliability Engineer (SRE). SREs are responsible for ensuring the reliability, availability, and scalability of complex distributed systems. Through a hands-on, project-based curriculum, students will learn to design, implement, and maintain highly available and fault-tolerant infrastructure, automate operational tasks, and use data-driven approaches to optimize system performance.

weeks
13 tasks
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Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Implement Distributed Tracing for Microservices

Medium

Create a distributed tracing solution similar to what companies like Google and Netflix use to monitor and debug their microservices-based applications.

12 hours

Implement Canary Deployments for Production Releases

Medium

Create a canary deployment strategy for a production application, similar to the approaches used by companies like Amazon and Netflix to safely roll out new features and updates.

10 hours

Implement Chaos Engineering for Resilient Systems

Medium

Create a chaos engineering solution to improve the resilience of a production-like system, similar to the approaches used by companies like Netflix and Google.

12 hours

Implement Infrastructure as Code for a Scalable Web Application

Advanced

Create an Infrastructure as Code (IaC) solution to deploy and manage a scalable web application, similar to the approach used by companies like Amazon Web Services (AWS) or Google Cloud Platform (GCP).

16 hours

Automate Kubernetes Cluster Deployment and Management

Advanced

Create an automated solution to deploy and manage a Kubernetes cluster, similar to the approaches used by companies like Google and Netflix.

20 hours

Implement Infrastructure Monitoring and Alerting

Advanced

Create a comprehensive infrastructure monitoring and alerting solution, similar to the approaches used by companies like Netflix and Google.

12 hours

Implement Distributed Tracing for Microservices Observability

Medium

Create a distributed tracing solution similar to what companies like Google and Amazon use to monitor and observe their complex microservices architectures.

12 hours

Implement Metrics-Driven Observability for a Distributed System

Medium

Create a comprehensive metrics-driven observability solution for a distributed system, similar to the approaches used by companies like Netflix and Amazon.

10 hours

Implement Log-Based Observability for a Microservices Architecture

Medium

Create a log-based observability solution for a microservices architecture, similar to the approaches used by companies like Amazon and Google.

10 hours

Reliability Engineering and Incident Response Professional Project

Medium

Build a professional-grade Reliability Engineering and Incident Response solution using industry best practices

8 hours

Reliability Engineering and Incident Response Assessment Challenge

Medium

Demonstrate mastery of Reliability Engineering and Incident Response concepts through practical challenges

4 hours

Scalability and Optimization Professional Project

Medium

Build a professional-grade Scalability and Optimization solution using industry best practices

8 hours

Scalability and Optimization Assessment Challenge

Medium

Demonstrate mastery of Scalability and Optimization concepts through practical challenges

4 hours

Prerequisites

  • • Proficiency in a programming language (e.g., Python, Go, Java)
  • • Experience with Linux/Unix operating systems
  • • Understanding of web application architecture and distributed systems
  • • Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure)
  • • Knowledge of software development lifecycle and DevOps practices

Certificate

Certificate of Completion

Earn a certificate upon successful completion