Multi-Tenant Database Architectures

James Serra describes a few architectures for multi-tenant databases in the cloud:

Separate Servers\VMs

You create VMs for each tenant, essentially doing a “lift and shift” of the current on-premise solution.  This provides the best isolation possible and it’s regularly done on-premises, but it’s also the one that doesn’t enable cutting costs, since each tenant has it’s own server, sql, license and so on.  Sometimes this is the only allowable option if you have in your client contract that their data will be hardware-isolated from other clients.  Some cons: table updates must be replicated across all the servers (i.e. updating reference tables), there is no resource sharing, and you need multiple backup strategies across all the servers.

Read on for a few other strategies.  There aren’t any cloud-only details here; you could implement the same strategies on-premises.

Related Posts

A Frugal Stretch Database Alternative

Chris Bell shares a version of Stretch databases for people with budgets: Stretch databases were going to provide “Cost-effective” availability for cold data, and unlike typical cold data storage,  our data would always be online and available to query. Applications would not need to be modified to work with the seamless design of the stretch […]

Read More

Use Cases For Apache Kafka

Amy Boyle shows a few scenarios where New Relic uses Apache Kafka: The Events Pipeline team is responsible for plumbing some of New Relic’s core data streams-specifically, event data. These are fine-grained nuggets of monitoring data that record a single event at a particular moment in time. For example, an event could be an error thrown […]

Read More

Categories

July 2016
MTWTFSS
« Jun Aug »
 123
45678910
11121314151617
18192021222324
25262728293031