Performance Engineering

"Performance engineering encompasses the techniques applied during a systems development life cycle to ensure the non-functional requirements for performance (such as throughput, latency, or memory usage) will be met. It may be alternatively referred to as systems performance engineering within systems engineering, and software performance engineering or application performance engineering within software engineering." - Wikipedia

Books

1. Every Computer Performance Book: How to Avoid and Solve Performance Problems 
on The Computers You Work With; Bob Wescott

2. The Practical Performance Analyst; Neil Gunther

3. Systems Performance: Enterprise and the Cloud; Gregg

4. BPF Performance Tools; Gregg

5. Performance Solutions: A Practical Guide to Creating Responsive, Scalable Software; Connie U. Smith, Lloyd G. Williams

6. The Art of Capacity Planning: Scaling Web Resources; John Allspaw

7. Java Performance - The Definitive Guide; Scott Oaks

8. Optimizing Java: Practical Techniques for Improving JVM Application Performance; Benjamin J Evans , James Gough, Chris Newland

9. High Performance Browser Networking: What every web developer should know about networking and web performance; Ilya Grigorik

10. High-Performance Java Persistence; Vlad Mihalcea

11. Go-Perf Book, Thoughts on Go performance optimization, Damian Gryski

12. Performance Analysis & Tuning on Modern CPU - Denis Bakhvalov

Blogs

1. http://www.brendangregg.com/blog/

2. https://alexanderpodelko.com/blog/

3. https://www.codeblueprint.co.uk/

4. https://thomasdullien.github.io/about/#blogs

5. http://perfsherpa.blogspot.com/

6. https://facebookmicrosites.github.io/bpf/blog/

7. https://www.igvita.com/

8. https://travisdowns.github.io/

9. https://pdziepak.github.io/

10. https://branchfree.org/

11. https://lemire.me/blog/

12. https://mr.gy/blog/

13. https://blog.stgolabs.net/search/label/performance

14. https://mechanical-sympathy.blogspot.com/

15. https://easyperf.net/notes/

Twitter

1. https://twitter.com/brendangregg

2. https://twitter.com/mjpt777

3. https://twitter.com/axboe

4. https://twitter.com/matt_dz

5. https://twitter.com/dendibakh

6. https://twitter.com/trav_downs

7. https://twitter.com/PawelDziepak

8. https://twitter.com/halvarflake

9. https://twitter.com/rygorous

10. https://twitter.com/DrQz

11. https://twitter.com/geofflangdale

12. https://twitter.com/lemire

13. https://twitter.com/tuxology

14. https://twitter.com/giltene

15. https://twitter.com/kwalfridsson

16. https://twitter.com/matthewwarren

17. https://twitter.com/perfsherpa

18. https://twitter.com/tkadlec

19. https://twitter.com/patmeenan

20. https://twitter.com/yoavweiss

21. https://twitter.com/MarkZeman

22. https://twitter.com/apodelko

23. https://twitter.com/JVMPerformance

24. https://twitter.com/PerfBytes

25. https://twitter.com/go_perf

26. https://twitter.com/fast_code_r_us

Links

Aggregators

1. https://github.com/meteorfox/performance-engineering

2. https://github.com/mfleming/performance-resources/

3. https://github.com/andriisoldatenko/awesome-performance-testing

Talks

1. code::dive conference 2014 - Scott Meyers: Cpu Caches and Why You Care

2. Performance Matters, Emery Berger

3. Latency SLOs Done Right, Theo Schlossnagle

Courses

1. https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-172-performance-engineering-of-software-systems-fall-2018/

2. http://www.perfeng.com/classic-site/seminars.htm

3. perf ninja and challanges - Denis Bakhvalov

Linux

1. http://www.brendangregg.com/blog/2020-03-08/lisa2019-linux-systems-performance.html

2. http://www.brendangregg.com/linuxperf.html

3. http://www.brendangregg.com/blog/2019-01-01/learn-ebpf-tracing.html

4. http://www.brendangregg.com/blog/2019-07-15/bpf-performance-tools-book.html

5. https://github.com/leandromoreira/linux-network-performance-parameters

6. https://blog.packagecloud.io/eng/2017/02/06/monitoring-tuning-linux-networking-stack-sending-data/

Websites

1. http://www.spe-ed.com/classic-site/

2. https://sites.google.com/site/swperfengg/

Various

1. https://en.m.wikipedia.org/wiki/Performance_engineering

2. https://www.alexanderpodelko.com/PerfDesign.html

3. https://developer.akamai.com/blog/2017/01/11/skills-performance-engineers

4. https://stackify.com/performance-engineering/

5. https://www.dynatrace.com/news/blog/trades-of-a-performance-engineer-in-2020/

6. https://opensource.com/article/19/5/life-performance-engineer

7. https://developers.google.com/web/fundamentals/performance/why-performance-matters

8. https://techbeacon.com/app-dev-testing/30-top-performance-engineering-leaders-follow-twitter

9. https://tangowhisky37.github.io/PracticalPerformanceAnalyst/2017/12/25/Six-Reasons-Why-You-Want-To-Be-A-Systems-Performance-Engineer/

10. https://www.keycdn.com/blog/https-performance-overhead

11. https://techbeacon.com/app-dev-testing/5-ways-learn-performance-engineering-skills

12. https://dzone.com/articles/skills-required-to-be-a-perfect-performance-engine

13. https://cloud.google.com/appengine/docs/standard/java/microservice-performance

14. https://www.researchgate.net/publication/313220433_Performance_Engineering_for_Microservices_Research_Challenges_and_Directions

15. https://www.hostingmanual.net/3-seconds-how-website-speed-impacts-visitors-sales/

16. http://normanmaurer.me/blog/2013/11/09/The-hidden-performance-costs-of-instantiating-Throwables/

17. https://pathtoperf.com/

18. On the Impact of Memory Allocation on High-Performance Query Processing https://arxiv.org/abs/1905.01135

19. I/O Is Faster Than the CPU – Let’s Partition Resources and Eliminate (Most) OS Abstractions https://penberg.org/parakernel-hotos19.pdf

20. What Every Programmer Should Know About Memory https://www.akkadia.org/drepper/cpumemory.pdf

21. https://www.nginx.com/blog/performance-tuning-tips-tricks/

22. https://blog.cloudflare.com/the-problem-with-event-loops/

23. https://www.datadoghq.com/blog/network-performance-monitoring/

24. https://easyperf.net/blog/2020/04/01/HW-SW-rules-of-thumb

25. https://youtu.be/Ho3bCIJcMcc - Performance Analysis & Tuning on Modern CPU - Denis Bakhvalov.