Scaling Slack - The Good, the Unexpected, and the Road Ahead

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Video with transcript included: bit.ly/2J3laLP
Mike Demmer talks about the major changes that Slack has made to the service architecture to meet the needs for larger and larger enterprise customers. Demmer presents 3 of these changes: decomposition of the real-time message service, client-side lazy loading via edge caching, and scaling the primary data storage tier with fine-grained horizontal sharding using Vitess.
This presentation was recorded at QCon San Francisco 2018: bit.ly/2uYyHLb
#Slack #Performance #Scalability #InfoQ #QConSanFrancisco

[@umamaheshsukamanchi]

Very well explained. Thanks

[@at_tap]

Great content. There seems to be lot of people in the audience with cough issue, had a hard time to understand few sentences

[@alexerohin4573]

It's almost like he's giving this talk in a hospital or something.

[@foreverursabhi]

People showing COVID symptoms 2 years before it hit.

[@tejamenneni1844]

How do you add jitter to client to spread out load?

[@dannyjoseph9613]

InstaBlaster...

[@foreverursabhi]

The audio well downhill at 11:38, and all the coughing isn't helping follow the talk. If you're coughing so much, show some courtesy and leave the room.

[@RomanScherbatyuk]

did you think about nosql db and akka way approach?

[@youngboss3659]

In reality, you have to consider cost of engineering work. They added the management & routing layer on top of MySQL database definitely meets the needs. If you look at this problem today, you can just use snowflake to help with this issue