Performance-Optimized Backend Virtual Internship
In this virtual internship, students will learn to implement high-performance backend systems using techniques like caching, load balancing, database optimization, and content delivery networks. They will gain hands-on experience in building scalable and efficient backend architectures that can handle large amounts of traffic and data. The internship will cover various programming languages and frameworks, as well as best practices for backend development and deployment.
Track Overview
Tasks & Milestones
Task 1: Implement In-Memory Caching
IntermediateIn this task, students will set up a Redis or Memcached server and integrate it into a backend application to cache frequently accessed data.
Task 2: Implement HTTP Caching
IntermediateIn this task, students will learn how to leverage HTTP caching headers to enable efficient client-side caching of static assets.
Task 1: Implement Server-Side Load Balancing
IntermediateIn this task, students will set up a server-side load balancing solution using NGINX or HAProxy and integrate it into a backend application.
Task 2: Implement Cloud-Based Load Balancing
IntermediateIn this task, students will set up a cloud-based load balancing solution and integrate it into a backend application.
Task 1: Implement Effective Indexing
IntermediateIn this task, students will analyze the database schema of a backend application and implement appropriate indexing strategies to improve query performance.
Task 2: Optimize Database Queries
IntermediateIn this task, students will analyze and optimize database queries in a backend application to improve overall performance.
Task 1: Integrate a CDN into a Backend Application
IntermediateIn this task, students will integrate a content delivery network (CDN) into a backend application to serve static assets more efficiently.
Task 2: Optimize CDN Configuration for Performance
IntermediateIn this task, students will optimize the configuration of a CDN to improve the performance of serving static assets in a backend application.
Prerequisites
- • Proficiency in at least one backend programming language (e.g., Python, Node.js, Java, Go)
- • Experience with relational and/or NoSQL databases
Certificate
Certificate of Completion
Earn a certificate upon successful completion