Home Cloud Computing Hitting the limits of your SQL Server: Time to scale out?

Hitting the limits of your SQL Server: Time to scale out?

Hitting the limits of your SQL Server: Time to scale out?

When complaints about slow systems reach a fever pitch, there’s no ignoring them. You’ve exhausted all the hardware options at your disposal. Maybe now is the time to scale out your SQL Server. It’s a trendy thing these days, isn’t it? Just like they’re doing in the cloud.

In theory, scaling out seems easy enough, and has definitely worked well with web servers. A little help from load balancers to direct traffic and you’re all set. Or maybe not. Don’t make the mistake of underestimating the level of effort and expertise necessary to partition databases (1) from one machine to two. Check out these articles from a variety of creditable sources and you’ll see what I mean.

There are a lot of considerations before you scale SQL Server. Should you shard (2) the database horizontally using ranges of rows — only to find that you’ve aggravated the hot spots? Or maybe you should split it vertically. Whichever you choose, some significant upfront testing and modeling must precede these decisions. This is when the hard work truly begins.

Read the entire article here, Hitting the limits of your SQL Server: Time to scale out?

Via the fine folks at DataCore Software/a>.

DataCore DataCore is the authority on real-time data. The company pioneered software-defined storage and is now bringing its technology to hyperconverged and workload optimization. DataCore empowers IT organizations to achieve always-available, high-performance and highly efficient data. Its patented technology eliminates storage bottlenecks with adaptive parallel I/O optimization, enables zero-downtime synchronous mirroring, and provides a true hardware-agnostic architecture — resulting in flexibility, resource efficiencies, and cost savings. DataCore software is the cornerstone of the next-generation, software-defined data center. DataCore’s value has been proven in more than 10,000 customer deployments across traditional, hyper-converged, cloud, and hybrid environments.

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