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Optimizing JVM at Alibaba

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An updated and curated list of selected readings to illustrate best practices in building High Scalability, High Availability, High Stability, High Performance, and High Intelligence back-end systems. Concepts are explained in the articles of prominent engineers and credible references. Case studies are taken from battle-tested systems those are serving millions to billions of users. An updated and curated list of selected readings to illustrate best practices in building High Scalability, High Availability, High Stability, High Performance, and High Intelligence back-end systems. Concepts are explained in the articles of prominent engineers and credible references. Case studies are taken from battle-tested systems those are serving millions to billions of users.
#### If your back-end went slow :traffic_light: #### If your back-end went slow :traffic_light:
> Understand your problems: scalability problem (fast for a single user but slow under heavy load) or performance problem (slow for a single user) by reviewing some [design principles](#principles), then checking how [scalability](#scalability) and [performance](#performance) problems are solved in tech giants. The section of [intelligence](#intelligence) are created for those who work with data and machine learning at big (data) and deep (learning) scale. Also, you can check some [talks](#talks) of elite engineers to know how they build, scale, and optimize their systems. > Understand your problems: scalability problem (fast for a single user but slow under heavy load) or performance problem (slow for a single user) by reviewing some [design principles](#principles) and checking how [scalability](#scalability) and [performance](#performance) problems are solved at tech companies. The section of [intelligence](#intelligence) are created for those who work with data and machine learning at big (data) and deep (learning) scale.
#### If your back-end went down :construction: #### If your back-end went down :construction:
> "Even if you lose all one day, you can build all over again if you retain your calm!" - Thuan Pham, Vietnamese refugee, CTO of Uber Technologies Inc. So, keep calm and mind the [availability](#availability) and [stability](#stability) matters! > "Even if you lose all one day, you can build all over again if you retain your calm!" - Thuan Pham, Vietnamese refugee, CTO of Uber Technologies Inc. So, keep calm and mind the [availability](#availability) and [stability](#stability) matters!
#### If you have an incomming System Design interview :ocean: #### If you have an incomming System Design interview :ocean:
> Look at some [interview notes](#interview) and [real-world architectures with completed diagrams](#architectures) to get a comprehensive view before designing your system on whiteboard. There are some selected [books](#books) for you (most of them are free)! Good luck :four_leaf_clover: > Look at some [interview notes](#interview) and [real-world architectures with completed diagrams](#architectures) to get a comprehensive view before designing your system on whiteboard. You can check some [talks](#talks) of engineers from tech giants to know how they build, scale, and optimize their systems. There are some selected [books](#books) for you (most of them are free)! Good luck :four_leaf_clover:
#### Community Power :mountain_cableway::aerial_tramway::mountain_cableway: #### Community Power :mountain_cableway::aerial_tramway::mountain_cableway:
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* [Decreasing RAM Usage by 40% Using jemalloc with Python & Celery at Zapier](https://zapier.com/engineering/celery-python-jemalloc/) * [Decreasing RAM Usage by 40% Using jemalloc with Python & Celery at Zapier](https://zapier.com/engineering/celery-python-jemalloc/)
* [Reducing Memory Footprint at Slack](https://slack.engineering/reducing-slacks-memory-footprint-4480fec7e8eb) * [Reducing Memory Footprint at Slack](https://slack.engineering/reducing-slacks-memory-footprint-4480fec7e8eb)
* [Using Java Large Heap (110 GB) for Boosting Site Perpormance at Expedia](https://techblog.expedia.com/2015/09/25/solving-problems-with-very-large-java-heaps/) * [Using Java Large Heap (110 GB) for Boosting Site Perpormance at Expedia](https://techblog.expedia.com/2015/09/25/solving-problems-with-very-large-java-heaps/)
* [Optimizing JVM at Alibaba](https://www.youtube.com/watch?v=X4tmr3nhZRg)
* [Python Garbage Collection for Dropping 50% Memory Growth Per Request at Instagram](https://instagram-engineering.com/copy-on-write-friendly-python-garbage-collection-ad6ed5233ddf) * [Python Garbage Collection for Dropping 50% Memory Growth Per Request at Instagram](https://instagram-engineering.com/copy-on-write-friendly-python-garbage-collection-ad6ed5233ddf)
* [Performance Improvements at Pinterest](https://medium.com/@Pinterest_Engineering/driving-user-growth-with-performance-improvements-cfc50dafadd7) * [Performance Improvements at Pinterest](https://medium.com/@Pinterest_Engineering/driving-user-growth-with-performance-improvements-cfc50dafadd7)
* [Server Side Rendering at Wix](https://www.youtube.com/watch?v=f9xI2jR71Ms) * [Server Side Rendering at Wix](https://www.youtube.com/watch?v=f9xI2jR71Ms)