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.