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@ -184,18 +184,6 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Auditing Airflow Job Runs at Walmart](https://medium.com/walmartlabs/auditing-airflow-batch-jobs-73b45100045) * [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) * [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)
* [Using Logs to Build a Solid Data Infrastructure - Martin Kleppmann](https://www.confluent.io/blog/using-logs-to-build-a-solid-data-infrastructure-or-why-dual-writes-are-a-bad-idea/)
* [Scalable and Reliable Log Ingestion at Pinterest](https://medium.com/@Pinterest_Engineering/scalable-and-reliable-data-ingestion-at-pinterest-b921c2ee8754)
* [Building DistributedLog at Twitter: High-performance replicated log service](https://blog.twitter.com/engineering/en_us/topics/infrastructure/2015/building-distributedlog-twitter-s-high-performance-replicated-log-servic.html)
* [Logging Service with Spark at CERN Accelerator](https://databricks.com/blog/2017/12/14/the-architecture-of-the-next-cern-accelerator-logging-service.html)
* [Logging and Aggregation at Quora](https://engineering.quora.com/Logging-and-Aggregation-at-Quora)
* [BookKeeper: Distributed Log Storage at Yahoo](https://yahooeng.tumblr.com/post/109908973316/bookkeeper-yahoos-distributed-log-storage-is)
* [LogDevice: Distributed Data Store for Logs at Facebook](https://code.facebook.com/posts/357056558062811/logdevice-a-distributed-data-store-for-logs/)
* [LogFeeder: Log Collection System at Yelp](https://engineeringblog.yelp.com/2018/03/introducing-logfeeder.html)
* [Collection and Analysis of Daemon Logs at Badoo](https://badoo.com/techblog/blog/2016/06/06/collection-and-analysis-of-daemon-logs-at-badoo/)
* [Distributed Monitoring and Alerting](https://www.oreilly.com/ideas/monitoring-distributed-systems) * [Distributed Monitoring and Alerting](https://www.oreilly.com/ideas/monitoring-distributed-systems)
* [Monitoring System at Alibaba](https://www.usenix.org/conference/srecon18asia/presentation/xinchi) * [Monitoring System at Alibaba](https://www.usenix.org/conference/srecon18asia/presentation/xinchi)
* [Real User Monitoring at Dailymotion](https://medium.com/dailymotion/real-user-monitoring-1948375f8be5) * [Real User Monitoring at Dailymotion](https://medium.com/dailymotion/real-user-monitoring-1948375f8be5)
@ -281,6 +269,16 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Real-time Deduping at Tapjoy](http://eng.tapjoy.com/blog-list/real-time-deduping-at-scale) * [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 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 Logging](https://blog.codinghorror.com/the-problem-with-logging/)
* [Logging at LinkedIn](https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying)
* [Scalable and Reliable Log Ingestion at Pinterest](https://medium.com/@Pinterest_Engineering/scalable-and-reliable-data-ingestion-at-pinterest-b921c2ee8754)
* [High-performance Replicated Log Service at Twitter](https://blog.twitter.com/engineering/en_us/topics/infrastructure/2015/building-distributedlog-twitter-s-high-performance-replicated-log-servic.html)
* [Logging Service with Spark at CERN Accelerator](https://databricks.com/blog/2017/12/14/the-architecture-of-the-next-cern-accelerator-logging-service.html)
* [Logging and Aggregation at Quora](https://engineering.quora.com/Logging-and-Aggregation-at-Quora)
* [BookKeeper: Distributed Log Storage at Yahoo](https://yahooeng.tumblr.com/post/109908973316/bookkeeper-yahoos-distributed-log-storage-is)
* [LogDevice: Distributed Data Store for Logs at Facebook](https://code.facebook.com/posts/357056558062811/logdevice-a-distributed-data-store-for-logs/)
* [LogFeeder: Log Collection System at Yelp](https://engineeringblog.yelp.com/2018/03/introducing-logfeeder.html)
* [Collection and Analysis of Daemon Logs at Badoo](https://badoo.com/techblog/blog/2016/06/06/collection-and-analysis-of-daemon-logs-at-badoo/)
* [Distributed Searching](http://nwds.cs.washington.edu/files/nwds/pdf/Distributed-WR.pdf) * [Distributed Searching](http://nwds.cs.washington.edu/files/nwds/pdf/Distributed-WR.pdf)
* [Search Architecture of Instagram](https://instagram-engineering.com/search-architecture-eeb34a936d3a) * [Search Architecture of Instagram](https://instagram-engineering.com/search-architecture-eeb34a936d3a)
* [Search Architecture of eBay](http://www.cs.otago.ac.nz/homepages/andrew/papers/2017-8.pdf) * [Search Architecture of eBay](http://www.cs.otago.ac.nz/homepages/andrew/papers/2017-8.pdf)