While Galera Manager is ideal for deploying on Amazon AWS or DigitalOcean, or even on your own on-premise hosts, there is a third option that exists, that allows you to monitor an existing cluster that you already have installed. While we won’t go thru installing a Galera Cluster in this post, we will show you how to get Galera Manager to function for this purpose.

Obtain Galera Manager via filling in the form. Once you have the gm-installer on your Galera Manager host, remember to execute: chmod +x gm-installer. We recommend also …

In the event that you are not planning to deploy Galera Cluster using Galera Manager on your own on-premise hosts, it is worth noting that Galera Manager supports the ability to automatically deploy a 3-node Galera Cluster in Amazon Web Services (AWS) Elastic Compute Cloud (EC2) automatically, just by suppling your API key information. Naturally, we also made a video on a step-by-step video on how to install Galera Cluster in an Amazon EC2 using Galera Manager.

It is worth noting that you can use the free tier to deploy your Galera Cluster with Galera Manager for testing purposes.

Obtain Galera Manager via filling in the form. Logon to your AWS Console. Launch just one EC2 …

Implementing Galera Cluster on Amazon EC2  provides several advantages for companies. Multi-master clustering comes out of the box as a default in Galera. Users can read and write from any database providing fast local writes and reads. Galera handles conflicts automatically if your application is writing to the same row. Nodes can be added and deleted on the fly if you need more capacity and elasticity. New nodes can join automatically. In the case data center downtime Galera provides disaster recovery and Galera Cluster takes care of the split brain situation too. Automated failover and recovery allow the database to continually service the application transparently.

Meet the developers and experts of Galera Cluster in Amazon re:Invent Las Vegas 26-29 November. You can find us at Venetian hotel, booth number 738.

First of all a disclaimer: I don’t work for Oracle nor do I speak for them. I believe this information to be correct, but for licensing questions, Oracle themselves have the final word.

With that out of the way, followers of this blog may have seen some of the results from my testing of actual CPU capacity with public clouds like Amazon Web Services, Microsoft Azure, and Google Compute Engine. In each of these cases, a CPU “core” was actually measured to be equivalent to an x86 HyperThread, or half a physical core. So when provisioning public cloud resources, it’s important to include twice as many CPU cores as the equivalent …

As businesses head into the cloud, it is tempting to reach for the first product that offers to make database operation as simple as punching a few buttons on a menu.  However, there’s a big difference between firing up cloud database services such as Amazon RDS for testing or development and finding a solution that can handle hundreds of millions of transactions daily. This webinar-on-demand

In this virtual course, you will learn how to get from a single database server to a scalable cluster, or from a brittle MySQL replication system to a transparent, manageable Continuent Tungsten cluster. 

We discuss the benefits of leveraging Continuent Tungsten clustering with MySQL, and walk you through the steps to implement a Continuent Tungsten cluster in Amazon EC2.

In today's webinar, we discuss the multi-master capabilities of Continuent Tungsten to help you build and manage systems that spread data across multiple sites. 

We cover important topics such as setting up large scale topologies, handling failures, and how to handle data privacy issues like removing personally identifiable information or handling privacy law restrictions on data movement. We

MySQL data rules the cloud, but recent experience shows us that there's no substitute for maintaining copies of data, across availability zones and regions, when it comes to Amazon Web Services (AWS) data resilience. In this webinar, we discuss the multi-master capabilities of Continuent Tungsten to help you build and manage systems that spread data across multiple sites. 

We cover topics such

Are you unsure of the steps needed to get your Continuent Tungsten cluster up-and-running? In this virtual course, we teach you how to get from a single database server to a scalable cluster, or from a brittle MySQL replication system to a transparent, manageable Tungsten cluster. 

We discuss the benefits of leveraging Continuent Tungsten clustering with MySQL, and walk you through the steps

Continuent Tungsten 2.0 is a major step forward that includes key feature improvements to help you manage very large datasets on MySQL. It also sets the stage for operation in cloud environments like Amazon.

We cover the following details to help you plan for using the new release:

Major improvements in Continuent Tungsten 2.0, including replication and connectivity upgrades Major improvements