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Best resources to learnPerformance Engineering

Study sheet

Performance engineering is the practice of ensuring software systems meet speed, scalability, and resource utilization requirements. You will understand how to profile applications, identify bottlenecks, optimize code, and conduct load testing under heavy traffic.

Where to start

Start with Performance Engineering of Software Systems (MIT 6.172) by Charles Leiserson and Julian Shun, a free MIT OpenCourseWare course with lecture videos and programming projects on measuring and speeding up real code. If you only use one resource, make it Systems Performance by Brendan Gregg, whose site brendangregg.com offers free profiling and tracing tools such as flame graphs. For websites, add Google's web.dev guides on Core Web Vitals.

6 resources · · How we curate

🎓Courses(1)

course

Performance Engineering of Software Systems (MIT 6.172)

Hands-on, project-based study of building fast, scalable software in C: performance analysis, algorithmic techniques, instruction-level and cache optimizations, and parallel programming. Includes 23 lecture videos, slides, programming projects and exams with solutions, teaching learners to measure and speed up real code.

intermediate🇬🇧

📚Books(2)

bookPaid

Systems Performance

Reference text on analysing operating system and application performance on Linux and Solaris, covering CPUs, memory, file systems, disks, networking and cloud environments. Readers learn methodologies such as USE and workload characterisation, and how to apply observability and benchmarking tools to diagnose bottlenecks.

intermediate🇬🇧
bookPaid

Programming Pearls

Jon Bentley's essays, expanded from his Communications of the ACM column, built around real programming problems. Readers learn problem definition, algorithm design, back-of-the-envelope estimation, program verification, and performance tuning through compact, carefully reasoned examples.

intermediate🇬🇧

🌐Websites(3)

website

web.dev

web.dev is Google's developer resource hub with guides, tutorials, and tooling docs to help you build fast, accessible, and reliable websites. It covers web performance topics like Core Web Vitals, Lighthouse audits, performance best practices, and network optimization techniques.

intermediate🇬🇧
website

highscalability.com

High Scalability is a tech blog offering in-depth articles and real-world case studies on building scalable distributed systems, with content on architecture patterns, performance tuning, scalability challenges, and deployment strategies.

intermediate🇬🇧
website

brendangregg.com

Brendan Gregg's site is a comprehensive resource on systems performance engineering, offering tutorials, articles, and open-source tools for profiling, tracing, and analyzing performance (including flame graphs, perf, DTrace, and related techniques).

intermediate🇬🇧
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Frequently Asked Questions

Where should I start learning Performance Engineering?

Start with Performance Engineering of Software Systems (MIT 6.172) by Charles Leiserson and Julian Shun, a free MIT OpenCourseWare course with lecture videos and programming projects on measuring and speeding up real code. If you only use one resource, make it Systems Performance by Brendan Gregg, whose site brendangregg.com offers free profiling and tracing tools such as flame graphs. For websites, add Google's web.dev guides on Core Web Vitals.

What are the best free resources to learn Performance Engineering?

Dantes has curated 6 resources for Performance Engineering, including 2 books, 1 courses, 3 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Performance Engineering hard to learn?

Performance Engineering is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Performance Engineering learning resources are available on Dantes?

For Performance Engineering, Dantes has curated 2 books, 1 courses, 3 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Performance Engineering resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Performance Engineering, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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