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System Design Primer - GitHub

Donne Martin / GitHub

4.9
3000 reviews|200,000 views
AI Summary

The most starred system design repo on GitHub. 250K+ stars. Essential for senior interviews.

About this Resource

About This Course

System Design Primer - GitHub is a comprehensive advanced-level resource offered by Donne Martin / GitHub, focused on building practical skills in programming and data structures. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience.

This is a comprehensive text-based learning resource — ideal for learners who prefer reading and reference-style learning over videos. The advantage of text-based resources is that you can easily search for specific topics, bookmark important sections, copy code snippets, and revisit concepts quickly without scrubbing through video timelines. Many working professionals prefer this format as it's easier to learn in short bursts during breaks.

What You'll Learn

This resource covers topics essential for success in programming and data structures, including algorithms, data structures, system design, and coding interview patterns. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications.

By the end, you should be able to:

  • Design scalable systems handling millions of users
  • Master load balancing, caching, sharding, and replication
  • Choose between SQL and NoSQL based on requirements
  • Crack system design interviews at FAANG-level companies

Duration: Estimated duration: 30 hours of content, designed to be completed in 3-6 weeks at a comfortable pace.

Prerequisites

This is an advanced resource meant for learners who already have solid fundamentals. You should have at least 6 months of hands-on experience or have completed intermediate-level courses in this area.

Who Should Take This

This resource is designed for a wide audience:

  • Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills
  • Fresh graduates preparing for campus placements or off-campus interviews
  • Working professionals looking to upskill, switch domains, or advance their careers
  • Career changers transitioning from non-tech backgrounds into programming and data structures
  • Freelancers wanting to add new services to their portfolio
  • Self-learners passionate about programming and data structures and wanting structured guidance

Pricing: This resource is completely free with no hidden charges.

Career Opportunities

Completing this resource and building related skills can prepare you for roles such as Software Development Engineer (SDE), Software Engineer, Backend Developer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data:

  • Freshers / 0-2 years: Rs 6-12 LPA
  • Mid-level / 2-5 years: Rs 15-30 LPA
  • Senior / 5+ years: Rs 30-60 LPA

Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Google, Amazon, Microsoft, Flipkart, PhonePe, Atlassian.

Industry Context

Strong programming and DSA skills are the #1 factor in clearing technical interviews at product companies. Companies like Google, Amazon, Microsoft, Flipkart, and PhonePe all use coding rounds as their primary hiring filter. The Indian tech interview landscape typically involves 2-3 DSA rounds, 1 system design round (for experienced roles), and 1-2 behavioral rounds. Candidates who have solved 200+ quality problems on platforms like LeetCode consistently report higher interview success rates.

Why We Recommend This Resource

Donne Martin / GitHub is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on:

  • Content quality — comprehensive coverage with clear explanations
  • Practical focus — emphasis on hands-on skills over pure theory
  • Student outcomes — positive reviews and career success stories
  • Indian relevance — content applicable to the Indian job market and interview patterns
  • Updated curriculum — material reflects current industry practices and tools

We regularly review and update our recommendations to ensure they remain relevant and high-quality.

Topics Covered

system designscalabilityinterviews

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