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* [Design for Scaling Out](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/scale-out)
* [Best Practices for Scaling Out](https://blog.openshift.com/best-practices-for-horizontal-application-scaling/)
* [Design for Evolution](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/design-for-evolution)
* [Learn from Mistakes](http://highscalability.com/blog/2013/8/26/reddit-lessons-learned-from-mistakes-made-scaling-to-1-billi.html)
## Scalability
* [Microservices](https://hackernoon.com/microservices-are-hard-an-invaluable-guide-to-microservices-2d06bd7bcf5d)
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* [Graph Databases](https://www.ibm.com/developerworks/library/cl-graph-database-1/index.html)
* [Neo4j case studies with Walmart, eBay, AirBnB, NASA, etc](https://neo4j.com/customers/)
* [FlockDB: Distributed Graph Database for Storing Adjancency Lists at Twitter](https://blog.twitter.com/engineering/en_us/a/2010/introducing-flockdb.html)
* [JanusGraph: scalable graph database backed by Google, IBM and Hortonworks](https://architecht.io/google-ibm-back-new-open-source-graph-database-project-janusgraph-1d74fb78db6b)
* [JanusGraph: Scalable Graph Database backed by Google, IBM and Hortonworks](https://architecht.io/google-ibm-back-new-open-source-graph-database-project-janusgraph-1d74fb78db6b)
* [Amazon Neptune](https://aws.amazon.com/neptune/)
* [Datastructure Databases (Redis, Hazelcast)](https://db-engines.com/en/system/Hazelcast%3BMemcached%3BRedis)
* [How Twitter Uses Redis To Scale](http://highscalability.com/blog/2014/9/8/how-twitter-uses-redis-to-scale-105tb-ram-39mm-qps-10000-ins.html)