Tech Talk Series, Part 4: High Availability

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For high-value, high-throughput sites, downtime can cost hundreds of thousands to millions of dollars. Service architectures have baked lots of resiliency into apps, but databases and their system of record design are often vulnerable to single points of failure, bringing down entire systems. Worse still, when the database is recovered, there can be missing data. How many database transactions can your workload handle losing if your primary database goes down?

There are many strategies to minimize MySQL downtime, usually using replication and redundant hardware. Often these systems involve some manual intervention and potential downtime as failover protocols take hold. Also, these strategies may be expensive and require redundant hardware.

At Clustrix, we think there are alternative strategies that may be a better fit for modern apps in a MySQL environment.

Join us for our final Tech Talk in this series on scaling MySQL where we’ll evaluate multiple HA strategies. We’ll also discuss the following topics:

  • The difference between fault tolerance and high availability
  • Best practices for achieving high availability with MySQL
  • What are the costs of achieving HA? What can be the most cost-effective strategy?
  • How is it possible to survive a multi-node failure in MySQL?

Click the installments below to view recordings of our previous Tech Talk Series webinars.

Fill out the form below to register for Part 4 of this Tech Talk Series.

1
April 18th
10AM PDT

How do you know you're hitting capacity in MySQL?

2
May 2nd
10AM PDT

Why is sharding not smart to do in MySQL?

3
May 16th
10AM PDT

Is your CFO right to demand you scale down MySQL?

4
June 1st
10AM PDT

How do you achieve high availability for MySQL?

About the Presenter

Dave Anselmi is Director of Product Management at Clustrix and brings over 18 years of product management, integration, and project management experience in database technology and e-commerce.

He’s very excited to be at the forefront of pushing the limits of linear scale-out ACID-compliant relational database technology with our clustered database, ClustrixDB.