Awesome-Mirrors/awesome-scalability
1
0
Fork 0
mirror of https://github.com/binhnguyennus/awesome-scalability.git synced 2024-10-01 01:06:14 -04:00
Code Issues Packages Projects Releases Wiki Activity

Refactor the sections of columnar DB

Browse Source
This commit is contained in:
binhnguyennus 2019-01-25 16:15:56 +08:00
parent 4a4e04593f
commit 671c630b4b
1 changed files with 23 additions and 20 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

29
README.md
View File

@ -246,7 +246,7 @@ An updated and curated list of readings to illustrate best practices and pattern
* [Event Sourcing (2 parts) at eBay](https://www.ebayinc.com/stories/blogs/tech/event-sourcing-in-action-with-ebays-continuous-delivery-team/) * [Event Sourcing (2 parts) at eBay](https://www.ebayinc.com/stories/blogs/tech/event-sourcing-in-action-with-ebays-continuous-delivery-team/)
* [Pub-Sub Messaging](https://aws.amazon.com/pub-sub-messaging/) * [Pub-Sub Messaging](https://aws.amazon.com/pub-sub-messaging/)
* [Pulsar: Pub-Sub Messaging at Scale at Yahoo](https://yahooeng.tumblr.com/post/150078336821/open-sourcing-pulsar-pub-sub-messaging-at-scale) * [Pulsar: Pub-Sub Messaging at Scale at Yahoo](https://yahooeng.tumblr.com/post/150078336821/open-sourcing-pulsar-pub-sub-messaging-at-scale)
* [Wormhole: Pub-Sub system at Facebook (2013)](https://code.facebook.com/posts/188966771280871/wormhole-pub-sub-system-moving-data-through-space-and-time/) * [Wormhole: Pub-Sub System at Facebook](https://code.facebook.com/posts/188966771280871/wormhole-pub-sub-system-moving-data-through-space-and-time/)
* [Pub-Sub in Chatting Architecture at LINE](https://engineering.linecorp.com/en/blog/detail/85) * [Pub-Sub in Chatting Architecture at LINE](https://engineering.linecorp.com/en/blog/detail/85)
* [Kafka the Message Broker](https://martin.kleppmann.com/papers/kafka-debull15.pdf) * [Kafka the Message Broker](https://martin.kleppmann.com/papers/kafka-debull15.pdf)
* [When to use RabbitMQ or Kafka](https://content.pivotal.io/blog/understanding-when-to-use-rabbitmq-or-apache-kafka) * [When to use RabbitMQ or Kafka](https://content.pivotal.io/blog/understanding-when-to-use-rabbitmq-or-apache-kafka)
@ -352,25 +352,28 @@ An updated and curated list of readings to illustrate best practices and pattern
* [Venice: Distributed Key-Value Database at Linkedin](https://engineering.linkedin.com/blog/2017/02/building-venice-with-apache-helix) * [Venice: Distributed Key-Value Database at Linkedin](https://engineering.linkedin.com/blog/2017/02/building-venice-with-apache-helix)
* [DynamoDB Hot Shards at Segment](https://segment.com/blog/the-million-dollar-eng-problem/) * [DynamoDB Hot Shards at Segment](https://segment.com/blog/the-million-dollar-eng-problem/)
* [Columnar Databases (Cassandra, HBase, Redshift)](https://aws.amazon.com/nosql/columnar/) * [Columnar Databases (Cassandra, HBase, Redshift)](https://aws.amazon.com/nosql/columnar/)
* [Consistent Hashing in Cassandra](https://blog.imaginea.com/consistent-hashing-in-cassandra/) * [Cassandra](http://www.cs.cornell.edu/projects/ladis2009/papers/lakshman-ladis2009.pdf)
* [Understanding Gossip (Cassandra Internals)](https://www.youtube.com/watch?v=FuP1Fvrv6ZQ) * [Scaling Cassandra Cluster at Walmart](https://medium.com/walmartlabs/avoid-pitfalls-in-scaling-your-cassandra-cluster-lessons-and-remedies-a71ca01f8c04)
* [When NOT to use Cassandra?](https://stackoverflow.com/questions/2634955/when-not-to-use-cassandra)
* [Avoid Pitfalls in Scaling Cassandra Cluster at Walmart](https://medium.com/walmartlabs/avoid-pitfalls-in-scaling-your-cassandra-cluster-lessons-and-remedies-a71ca01f8c04)
* [Storing Images in Cassandra at Walmart](https://medium.com/walmartlabs/building-object-store-storing-images-in-cassandra-walmart-scale-a6b9c02af593)
* [Cassandra at Instagram](https://www.slideshare.net/DataStax/cassandra-at-instagram-2016) * [Cassandra at Instagram](https://www.slideshare.net/DataStax/cassandra-at-instagram-2016)
* [Scale Ad Analytics with Cassandra at Yelp](https://engineeringblog.yelp.com/2016/08/how-we-scaled-our-ad-analytics-with-cassandra.html) * [Scale Ad Analytics with Cassandra at Yelp](https://engineeringblog.yelp.com/2016/08/how-we-scaled-our-ad-analytics-with-cassandra.html)
* [Store Billions of Messages with Cassandra at Discord](https://blog.discordapp.com/how-discord-stores-billions-of-messages-7fa6ec7ee4c7) * [Storing Images in Cassandra at Walmart](https://medium.com/walmartlabs/building-object-store-storing-images-in-cassandra-walmart-scale-a6b9c02af593)
* [Storing Messages with Cassandra at Discord](https://blog.discordapp.com/how-discord-stores-billions-of-messages-7fa6ec7ee4c7)
* [Scale to 100+ Million Reads/Writes using Spark and Cassandra at Dream11](https://medium.com/dream11-tech-blog/leaderboard-dream11-4efc6f93c23e) * [Scale to 100+ Million Reads/Writes using Spark and Cassandra at Dream11](https://medium.com/dream11-tech-blog/leaderboard-dream11-4efc6f93c23e)
* [Moving Food Feed from Redis to Cassandra at Zomato](https://www.zomato.com/blog/how-we-moved-our-food-feed-from-redis-to-cassandra) * [Moving Food Feed from Redis to Cassandra at Zomato](https://www.zomato.com/blog/how-we-moved-our-food-feed-from-redis-to-cassandra)
* [Benchmarking Cassandra Scalability on AWS at Netflix](https://medium.com/netflix-techblog/benchmarking-cassandra-scalability-on-aws-over-a-million-writes-per-second-39f45f066c9e) * [Benchmarking Cassandra Scalability on AWS at Netflix](https://medium.com/netflix-techblog/benchmarking-cassandra-scalability-on-aws-over-a-million-writes-per-second-39f45f066c9e)
* [Imgur Notification: From MySQL to HBASE at Imgur](https://blog.imgur.com/2015/09/15/tech-tuesday-imgur-notifications-from-mysql-to-hbase/) * [Service Decomposition at Scale with Cassandra at Intuit QuickBooks](https://quickbooks-engineering.intuit.com/service-decomposition-at-scale-70405ac2f637)
* [Improving HBase Backup Efficiency at Pinterest](https://medium.com/@Pinterest_Engineering/improving-hbase-backup-efficiency-at-pinterest-86159da4b954)
* [HBase Practice at Xiaomi](https://www.slideshare.net/HBaseCon/hbase-practice-at-xiaomi)
* [ClickHouse - Open Source Distributed Column Database at Yandex](https://clickhouse.yandex/)
* [Scaling Redshift without Scaling Costs at GIPHY](https://engineering.giphy.com/scaling-redshift-without-scaling-costs/)
* [Service Decomposition at Scale (with Cassandra) at Intuit QuickBooks](https://quickbooks-engineering.intuit.com/service-decomposition-at-scale-70405ac2f637)
* [Cassandra for Keeping Counts In Sync at SoundCloud](https://developers.soundcloud.com/blog/keeping-counts-in-sync) * [Cassandra for Keeping Counts In Sync at SoundCloud](https://developers.soundcloud.com/blog/keeping-counts-in-sync)
* [cstar: Cassandra Orchestration Tool at Spotify](https://labs.spotify.com/2018/09/04/introducing-cstar-the-spotify-cassandra-orchestration-tool-now-open-source/) * [cstar: Cassandra Orchestration Tool at Spotify](https://labs.spotify.com/2018/09/04/introducing-cstar-the-spotify-cassandra-orchestration-tool-now-open-source/)
* [HBase](https://hbase.apache.org/)
* [HBase at Salesforce](https://engineering.salesforce.com/investing-in-big-data-apache-hbase-b9d98661a66b)
* [HBase in Facebook Messages](https://www.facebook.com/notes/facebook-engineering/the-underlying-technology-of-messages/454991608919/)
* [HBase in Imgur Notification](https://blog.imgur.com/2015/09/15/tech-tuesday-imgur-notifications-from-mysql-to-hbase/)
* [Improving HBase Backup Efficiency at Pinterest](https://medium.com/@Pinterest_Engineering/improving-hbase-backup-efficiency-at-pinterest-86159da4b954)
* [HBase at Xiaomi](https://www.slideshare.net/HBaseCon/hbase-practice-at-xiaomi)
* [Redshift](https://www.allthingsdistributed.com/2018/11/amazon-redshift-performance-optimization.html)
* [Redshift at GIPHY](https://engineering.giphy.com/scaling-redshift-without-scaling-costs/)
* [Redshift at Hudl](https://www.hudl.com/bits/the-low-hanging-fruit-of-redshift-performance)
* [Redshift at Drivy](https://drivy.engineering/redshift_tips_ticks_part_1/)
* [Document Databases (MongoDB, SimpleDB, CouchDB)](https://msdn.microsoft.com/en-us/magazine/hh547103.aspx) * [Document Databases (MongoDB, SimpleDB, CouchDB)](https://msdn.microsoft.com/en-us/magazine/hh547103.aspx)
* [eBay: Building Mission-Critical Multi-Data Center Applications with MongoDB](https://www.mongodb.com/blog/post/ebay-building-mission-critical-multi-data-center-applications-with-mongodb) * [eBay: Building Mission-Critical Multi-Data Center Applications with MongoDB](https://www.mongodb.com/blog/post/ebay-building-mission-critical-multi-data-center-applications-with-mongodb)
* [MongoDB at Baidu: Multi-Tenant Cluster Storing 200+ Billion Documents across 160 Shards](https://www.mongodb.com/blog/post/mongodb-at-baidu-powering-100-apps-across-600-nodes-at-pb-scale) * [MongoDB at Baidu: Multi-Tenant Cluster Storing 200+ Billion Documents across 160 Shards](https://www.mongodb.com/blog/post/mongodb-at-baidu-powering-100-apps-across-600-nodes-at-pb-scale)