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Distributed Locking

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binhnguyennus 2019-01-25 20:52:34 +08:00
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@ -153,6 +153,12 @@ An organized reading list for illustrating the patterns behind scalable, reliabl
* [HAProxy with Kubernetes for User-facing Traffic at SoundCloud](https://developers.soundcloud.com/blog/how-soundcloud-uses-haproxy-with-kubernetes-for-user-facing-traffic)
* [Bandaid: Service Proxy at Dropbox](https://blogs.dropbox.com/tech/2018/03/meet-bandaid-the-dropbox-service-proxy/)
* [CDN in LIVE's Encoder Layer at LINE](https://engineering.linecorp.com/en/blog/detail/230)
* [Distributed Locking](https://martin.kleppmann.com/2016/02/08/how-to-do-distributed-locking.html)
* [Chubby: Lock Service for Loosely Coupled Distributed Systems at Google](https://blog.acolyer.org/2015/02/13/the-chubby-lock-service-for-loosely-coupled-distributed-systems/)
* [Distributed Locking at Uber](https://www.youtube.com/watch?v=MDuagr729aU)
* [Distributed Locks using Redis at GoSquared](https://engineering.gosquared.com/distributed-locks-using-redis)
* [ZooKeeper at Twitter](https://blog.twitter.com/engineering/en_us/topics/infrastructure/2018/zookeeper-at-twitter.html)
* [Eliminating Duplicate Queries using Distributed Locking at Chartio](https://blog.chartio.com/posts/eliminating-duplicate-queries-using-distributed-locking)
* [Distributed Tracking, Tracing, and Measuring](https://www.oreilly.com/ideas/understanding-the-value-of-distributed-tracing)
* [Zipkin: Distributed Systems Tracing at Twitter](https://blog.twitter.com/engineering/en_us/a/2012/distributed-systems-tracing-with-zipkin.html)
* [Improve Zipkin Traces using Kubernetes Pod Metadata at SoundCloud](https://developers.soundcloud.com/blog/using-kubernetes-pod-metadata-to-improve-zipkin-traces)
@ -183,7 +189,7 @@ An organized reading list for illustrating the patterns behind scalable, reliabl
* [Airflow at Drivy](https://drivy.engineering/airflow-architecture/)
* [Auditing Airflow Job Runs at Walmart](https://medium.com/walmartlabs/auditing-airflow-batch-jobs-73b45100045)
* [MaaT: DAG-based Distributed Task Scheduler at Alibaba](https://hackernoon.com/meet-maat-alibabas-dag-based-distributed-task-scheduler-7c9cf0c83438)
* [boundary-layer: Declarative Airflow Workflows at Etsy](https://codeascraft.com/2018/11/14/boundary-layer%e2%80%89-declarative-airflow-workflows/)
* [boundary-layer: Declarative Airflow Workflows at Etsy](https://codeascraft.com/2018/11/14/boundary-layer%e2%80%89-declarative-airflow-workflows/)
* [Distributed Logging](https://blog.treasuredata.com/blog/2016/08/03/distributed-logging-architecture-in-the-container-era/)
* [The Problem with Logging - Jeff Atwood](https://blog.codinghorror.com/the-problem-with-logging/)
* [The Log: What Every Software Engineer Should Know](https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying)
@ -264,7 +270,7 @@ An organized reading list for illustrating the patterns behind scalable, reliabl
* [Exactly-once Semantics with Kafka](https://www.confluent.io/blog/exactly-once-semantics-are-possible-heres-how-apache-kafka-does-it/)
* [Real-time Deduping at Tapjoy](http://eng.tapjoy.com/blog-list/real-time-deduping-at-scale)
* [Deduplication at Segment](https://segment.com/blog/exactly-once-delivery/)
* [Deduplication at Mail.Ru](https://medium.com/@andrewsumin/efficient-storage-how-we-went-down-from-50-pb-to-32-pb-99f9c61bf6b4)
* [Deduplication at Mail.Ru](https://medium.com/@andrewsumin/efficient-storage-how-we-went-down-from-50-pb-to-32-pb-99f9c61bf6b4)
* [Distributed Searching](http://nwds.cs.washington.edu/files/nwds/pdf/Distributed-WR.pdf)
* [Search Architecture of Instagram](https://engineering.instagram.com/search-architecture-eeb34a936d3a)
* [Search Architecture of eBay](http://www.cs.otago.ac.nz/homepages/andrew/papers/2017-8.pdf)
@ -384,7 +390,7 @@ An organized reading list for illustrating the patterns behind scalable, reliabl
* [SimpleDB at Zendesk](https://medium.com/zendesk-engineering/resurrecting-amazon-simpledb-9404034ec506)
* [Espresso: Distributed Document Store at LinkedIn](https://engineering.linkedin.com/espresso/introducing-espresso-linkedins-hot-new-distributed-document-store)
* [Graph Databases](https://www.ibm.com/developerworks/library/cl-graph-database-1/index.html)
* [Handling Billions of Edges in a Graph Database](https://www.infoq.com/presentations/graph-database-scalability)
* [Handling Billions of Edges in a Graph Database](https://www.infoq.com/presentations/graph-database-scalability)
* [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)
@ -401,7 +407,7 @@ An organized reading list for illustrating the patterns behind scalable, reliabl
* [Memory Optimization in Redis at Wattpad](http://engineering.wattpad.com/post/23244724794/store-more-stuff-memory-optimization-in-redis)
* [Sending an e-mail to millions of users (with Redis) at Drivy](https://drivy.engineering/sending-mass-emails/)
* [Redis Fleet at Heroku](https://blog.heroku.com/rolling-redis-fleet)
* [Time Series Databases (TSDB)](https://www.influxdata.com/time-series-database/)
* [Time Series Databases](https://www.influxdata.com/time-series-database/)
* [What is Time-Series Data & Why We Need a Time-Series Database](https://blog.timescale.com/what-the-heck-is-time-series-data-and-why-do-i-need-a-time-series-database-dcf3b1b18563)
* [Time Series Data: Why and How to Use a Relational Database instead of NoSQL](https://blog.timescale.com/time-series-data-why-and-how-to-use-a-relational-database-instead-of-nosql-d0cd6975e87c)
* [Practical Guide to Monitoring and Alerting with Time Series at Scale](https://www.usenix.org/conference/srecon17americas/program/presentation/wilkinson)
@ -424,7 +430,6 @@ An organized reading list for illustrating the patterns behind scalable, reliabl
* [Dotfiles Distribution at Booking.com](https://medium.com/booking-com-infrastructure/dotfiles-distribution-dedb69c66a75)
* [Secret Detector: Preventing Secrets in Source Code at Yelp](https://engineeringblog.yelp.com/2018/06/yelps-secret-detector.html)
* [Managing Software Dependency at Scale at LinkedIn](https://engineering.linkedin.com/blog/2018/09/managing-software-dependency-at-scale)
* [ZooKeeper at Twitter](https://blog.twitter.com/engineering/en_us/topics/infrastructure/2018/zookeeper-at-twitter.html)
* [Scaling Continuous Integration and Continuous Delivery](https://www.synopsys.com/blogs/software-security/agile-cicd-devops-glossary/)
* [Continuous Integration Stack at Facebook](https://code.fb.com/web/rapid-release-at-massive-scale/)
* [Continuous Integration with Distributed Repositories and Dependencies at Netflix](https://medium.com/netflix-techblog/towards-true-continuous-integration-distributed-repositories-and-dependencies-2a2e3108c051)
@ -482,15 +487,14 @@ An organized reading list for illustrating the patterns behind scalable, reliabl
* [Autoscaling Bigtable Clusters based on CPU Load at Spotify](https://labs.spotify.com/2018/12/18/bigtable-autoscaler-saving-money-and-time-using-managed-storage/)
* [Scryer: Predictive Auto Scaling Engine at Netflix](https://medium.com/netflix-techblog/scryer-netflixs-predictive-auto-scaling-engine-a3f8fc922270)
* [Bouncer: Simple AWS Auto Scaling Rollovers at Palantir](https://medium.com/palantir/bouncer-simple-aws-auto-scaling-rollovers-c5af601d65d4)
* [Availability in Globally Distributed Storage Systems](http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/36737.pdf)
* [Availability in Globally Distributed Storage Systems at Google](http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/36737.pdf)
* [NodeJS High Availability at Yahoo](https://yahooeng.tumblr.com/post/68823943185/nodejs-high-availability)
* [Operations (11 parts) at LinkedIn](https://www.linkedin.com/pulse/introduction-every-day-monday-operations-benjamin-purgason)
* [Monitoring Powers High Availability for LinkedIn Feed](https://www.usenix.org/conference/srecon17americas/program/presentation/barot)
* [Supporting Global Events at Facebook](https://code.facebook.com/posts/166966743929963/how-production-engineers-support-global-events-on-facebook/)
* [Backends High Availability at BlaBlaCar](https://medium.com/blablacar-tech/the-expendables-backends-high-availability-at-blablacar-8cea3b95b26b)
* [Chubby: Lock Service for Loosely Coupled Distributed Systems at Google](https://blog.acolyer.org/2015/02/13/the-chubby-lock-service-for-loosely-coupled-distributed-systems/)
* [High Availability at BlaBlaCar](https://medium.com/blablacar-tech/the-expendables-backends-high-availability-at-blablacar-8cea3b95b26b)
* [High Availability at Netflix](https://medium.com/@NetflixTechBlog/tips-for-high-availability-be0472f2599c)
* [Scaling High-Availability Infrastructure in the Cloud at Twilio](https://www.twilio.com/engineering/2011/12/12/scaling-high-availablity-infrastructure-in-cloud)
* [High Availability Cloud Infrastructure at Twilio](https://www.twilio.com/engineering/2011/12/12/scaling-high-availablity-infrastructure-in-cloud)
* [Automating Datacenter Operations at Dropbox](https://blogs.dropbox.com/tech/2019/01/automating-datacenter-operations-at-dropbox/)
## Stability