How to scale a database without sharding

Published: 01 January 1970
on channel: CockroachDB
2,343
32

Scaling a relational database can be a complex task, but it doesn’t need to be. A Distributed SQL database, such as CockroachDB, delivers completely automated, effortless, and elastic cloud scale while guaranteeing transactions. It is a database that reimagines the execution and storage layers while still allowing you, the developer, to still use familiar SQL syntax.

In the livestream we walk through how to never shard another database and gain effortless scale as well as:

• Horizontal scale of a database without sharding
• How active-active endpoints eliminate downtime
• Online schema changes and rolling upgrades
• Anchor rows of data to a location to improve performance


00:00 - 03:00 Scaling a database
03:00 - 07:49 Why do we scale databases?
07:49 - 11:14 The challenges of sharding
11:14 - 14:22 What is the cost of sharding?
14:23 - 17:36 How did we scale CockroachDB?
17:40 - 19:46 CockroachDB demo
19:46 - 22:00 How does CockroachDB handle data sharding?
22:00 - 24:03 Is there any machine or memory requirements to run Cockroach demo?
24:04 - 26:18 CockroachDB demo and enterprise license
26:20 - 33:48 What's going on underneath the covers of CockroachDB?
33:48 - 36:24 Raft and the distributed consensus protocol
36:24 - 37:54 Why Ben Darnell is the smartest database engineer
37:54 - 41:01 How does Raft scale?
41:02 - 44:09 More features of Cockroach
44:10 - 47:46 The overview of the Cockroach cluster
47:47 - 51:02 CockroachDB Dedicated vs CockroachDB
53:27 - 55:21 TPC-C database benchmarks
55:22 - 57:35 The importance of vendor published benchmarks

#CockroachDB #DistributedSQL

If you want to give CockroachDB Serverless a try I promise you can spin up a cluster faster than you could cook a bowl of ramen: www.cockroachlabs.com/serverless


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