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 # system-design-resources
 These are the best resources for System Design on the Internet
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+Transcoding Videos at Scale: https://www.egnyte.com/blog/2018/12/transcoding-how-we-serve-videos-at-scale/
+AirBnb Idempotency: https://medium.com/airbnb-engineering/avoiding-double-payments-in-a-distributed-payments-system-2981f6b070bb
+Facebook Cluster Management: https://engineering.fb.com/data-center-engineering/twine/
+Google Autopilot - Autoscaling: https://dl.acm.org/doi/pdf/10.1145/3342195.3387524
+Netflix Workflow Orchestration: https://netflix.github.io/conductor/
+Opensource Workflow Management: https://github.com/spotify/luigi
+Facebook Video Broadcasting: https://engineering.fb.com/ios/under-the-hood-broadcasting-live-video-to-millions/
+LinkedIn Brooklin- Real time data streaming: https://engineering.linkedin.com/blog/2019/brooklin-open-source
+Amazon S3 Performance hacks: https://aws.amazon.com/blogs/aws/amazon-s3-performance-tips-tricks-seattle-hiring-event/
+Amazon S3 object expiration: https://aws.amazon.com/blogs/aws/amazon-s3-object-expiration/
+Open Source Distributed File System: https://docs.ceph.com/en/latest/architecture/
+Pintrest Time Series Database: https://medium.com/pinterest-engineering/goku-building-a-scalable-and-high-performant-time-series-database-system-a8ff5758a181
+Uber Time Series DB: https://eng.uber.com/aresdb/
+TimeSeries Relational DB: https://blog.timescale.com/blog/time-series-data-why-and-how-to-use-a-relational-database-instead-of-nosql-d0cd6975e87c/
+Facebook Gorilla Time Series DB: http://www.vldb.org/pvldb/vol8/p1816-teller.pdf
+Circuit Breaker Algorithm: https://martinfowler.com/bliki/CircuitBreaker.html
+Uber Rate Limiter: https://github.com/uber-go/ratelimit/blob/master/ratelimit.go
+What is HTTP: https://engineering.cred.club/head-of-line-hol-blocking-in-http-1-and-http-2-50b24e9e3372
+QUIC Protocol: https://www.akamai.com/blog/performance/http3-and-quic-past-present-and-future
+Chess Engine Building: https://www.youtube.com/watch?v=U4ogK0MIzqk
+Subscription Manager: https://netflixtechblog.com/building-a-rule-based-platform-to-manage-netflix-membership-skus-at-scale-e3c0f82aa7bc
+Operational Transform: http://www.codecommit.com/blog/java/understanding-and-applying-operational-transformation
+Google Docs: https://www.youtube.com/watch?v=uOFzWZrsPV0&list=PLXDe3d8o9VFtydBV5biyz9iS3WqKsBMD5&index=3
+Uber Distributed Request Tracing: https://eng.uber.com/distributed-tracing/
+Elastic Search Time Based Querying: https://www.elastic.co/guide/en/elasticsearch/guide/current/time-based.html
+Elastic Search Aggregation: https://www.elastic.co/guide/en/elasticsearch/guide/current/aggregations.html
+Pintrest Logging: https://medium.com/@Pinterest_Engineering/open-sourcing-singer-pinterests-performant-and-reliable-logging-agent-610fecf35566
+Google Monitoring Infrastructure: https://www.facebook.com/atscaleevents/videos/959344524420015/
+Kubernetes Service Mesh: https://akomljen.com/kubernetes-service-mesh/
+Kubernetes Sidecar:https://www.weave.works/blog/introduction-to-service-meshes-on-kubernetes-and-progressive-delivery
+Nginx Service Mesh: https://www.nginx.com/learn/service-mesh/
+Facebook Data Engineering: https://engineering.fb.com/2016/05/09/core-data/introducing-fblearner-flow-facebook-s-ai-backbone/
+Amazon Dynamo DB Internals: https://www.allthingsdistributed.com/2007/10/amazons_dynamo.html
+Indexing in Cassandra: https://www.bmc.com/blogs/cassandra-clustering-columns-partition-composite-key/
+Design Patterns in Amazon Dynamo DB: https://www.youtube.com/watch?v=HaEPXoXVf2k
+Internals of Amazon Dynamo DB: https://www.youtube.com/watch?v=yvBR71D0nAQ
+API Design: https://medium.com/airbnb-engineering/building-services-at-airbnb-part-1-c4c1d8fa811b
+Swagger APIs: https://swagger.io/docs/specification/about/
+Sorted String Tables and Compaction Strategies: https://github.com/scylladb/scylla/wiki/SSTable-compaction-and-compaction-strategies
+Hyperloglog Algorithm: https://odino.org/my-favorite-data-structure-hyperloglog/
+Caching: http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html
+Microsoft Caching Guide: https://docs.microsoft.com/en-us/previous-versions/msp-n-p/dn589802(v%3dpandp.10)
+Database replication: https://dev.mysql.com/doc/refman/8.0/en/replication.html
+Capacity Estimation: http://static.googleusercontent.com/media/research.google.com/en//people/jeff/stanford-295-talk.pdf
+Facebook Twine Containerization: https://engineering.fb.com/developer-tools/zookeeper-twine/
+CloudFlare Containerization: https://blog.cloudflare.com/cloud-computing-without-containers/
+Docker Architecture: https://docs.docker.com/get-started/overview/#docker-architecture
+Monolith to Microservice: https://martinfowler.com/articles/break-monolith-into-microservices.html
+Netflix Data replication - Change Data Capture: https://netflixtechblog.com/dblog-a-generic-change-data-capture-framework-69351fb9099b
+YouTube Architecture: http://highscalability.com/youtube-architecture
+YouTube scalability 2012: https://www.youtube.com/watch?v=w5WVu624fY8
+Google Capacity Estimation: https://www.youtube.com/watch?v=modXC5IWTJI
+Scalability at YouTube 2012: https://www.youtube.com/watch?v=G-lGCC4KKok
+Back of envelope Calculations at AWS: https://www.youtube.com/watch?v=-3qetLv2Yp0
+Oracle Publisher Subscriber: https://docs.oracle.com/cd/B10501_01/appdev.920/a96590/adg15pub.htm
+Amazon Pub Sub Messaging: https://aws.amazon.com/pub-sub-messaging/
+Asynchronous processing: http://blog.codepath.com/2013/01/06/asynchronous-processing-in-web-applications-part-2-developers-need-to-understand-message-queues/
+Async Request Response: https://www.enterpriseintegrationpatterns.com/patterns/conversation/RequestResponse.html
+DB as queue Antipattern: http://blog.codepath.com/2012/11/15/asynchronous-processing-in-web-applications-part-1-a-database-is-not-a-queue/
+Using a database as a message queue: https://softwareengineering.stackexchange.com/questions/231410/why-database-as-queue-so-bad
+Anti-pattern of DB as a queue: http://mikehadlow.blogspot.com/2012/04/database-as-queue-anti-pattern.html
+Drawbacks of DB as a queue: https://www.cloudamqp.com/blog/why-is-a-database-not-the-right-tool-for-a-queue-based-system.html
+Oracle Single Points of failure: https://docs.oracle.com/cd/E19693-01/819-0992/fjdch/index.html
+DNS single point of failure 2004: http://www.tenereillo.com/GSLBPageOfShame.htm
+Martin Fowler- Event Driven Architecture: https://www.youtube.com/watch?v=STKCRSUsyP0
+Event Driven Architecture: https://martinfowler.com/articles/201701-event-driven.html
+Monolith Architecture: https://buttercms.com/books/microservices-for-startups/should-you-always-start-with-a-monolith/
+Monoliths vs Microservices: https://articles.microservices.com/monolithic-vs-microservices-architecture-5c4848858f59
+Microservices: http://highscalability.com/blog/2018/4/5/do-you-have-too-many-microservices-five-design-attributes-th.html
+Uber Nanoservices antipattern: https://www.youtube.com/watch?v=kb-m2fasdDY
+Load Balancer with Sticky Sessions: https://stackoverflow.com/questions/10494431/sticky-and-non-sticky-sessions
+Citrix what is load balancing: https://www.citrix.com/en-in/solutions/app-delivery-and-security/load-balancing/what-is-load-balancing.html
+Nginx Load Balancing: https://www.nginx.com/resources/glossary/load-balancing/
+What is a message queue: https://www.cloudamqp.com/blog/what-is-message-queuing.html
+Distributed Design Patterns: http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html
+Consistent hashing: https://michaelnielsen.org/blog/consistent-hashing/
+Facebook Messenger Optimisations: https://spectrum.ieee.org/how-facebooks-software-engineers-prepare-messenger-for-new-years-eve