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Scaling MySQL in the cloud with Vitess and Kubernetes
2015年3月20日星期五
Your new website is growing exponentially. After a few rounds of high fives, you start scaling to meet this unexpected demand. While you can always add more front-end servers, eventually your database becomes a bottleneck, which leads you to . . .
Add more replicas for better read throughput and data durability
Introduce sharding to scale your write throughput and let your data set grow beyond a single machine
Create separate replica pools for batch jobs and backups, to isolate them from live traffic
Clone the whole deployment into multiple datacenters worldwide for disaster recovery and lower latency
At YouTube, we went on that
journey
as we scaled our MySQL deployment, which today handles the metadata for billions of daily video views and
300 hours of new video uploads per minute
. To do this, we developed the
Vitess
platform, which addresses scaling challenges while hiding the associated complexity from the application layer.
Vitess is available as an
open-source project
and runs best in a containerized environment. With
Kubernetes
and
Google Container Engine
as your
container cluster manager
, it's now a lot easier to get started. We’ve created a single deployment configuration for Vitess that works on
any platform that Kubernetes supports
.
In addition to being easy to deploy in a container cluster, Vitess also takes full advantage of the benefits offered by a container cluster manager, in particular:
Horizontal scaling
– add capacity by launching additional nodes rather than making one huge node
Dynamic placement
– let the cluster manager schedule Vitess containers wherever it wants
Declarative specification
– describe your desired end state, and let the cluster manager create it
Self-healing components
– recover automatically from machine failures
In this environment, Vitess provides a MySQL storage layer with improved durability, scalability, and manageability.
We're just getting started with this integration, but you can already
run Vitess on Kubernetes
yourself. For more on Vitess, check out our
website
, ask questions on our
forum
, or join us on
GitHub
. In particular, take a look at our overview to understand the trade-offs of Vitess versus NoSQL solutions and fully-managed MySQL solutions like
Google Cloud SQL
.
-Posted by Anthony Yeh, Software Engineer, YouTube
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