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89 blog posts in 13 categories

How to change AWS instance sizes for your Galera Cluster and optimize performance

Running your database cluster on AWS is a great way to adapt to changing workloads by adding/removing instances, or by scaling up/down each instance. At Severalnines, we talk much more about scale-out than scale up, but there are cases where you might want to scale up an instance instead of scaling out. 

9 Tips for Going in Production with Galera Cluster for MySQL

Are you going in production with Galera Cluster for MySQL? Here are 9 tips to consider before going live. These are applicable to all 3 Galera versions (Codership, Percona XtraDB Cluster and MariaDB Galera Cluster).

How-to and Performance Impact of SSL-Encrypted Replication Traffic in Galera Cluster for MySQL

Deploying Galera Clusters across WAN environments might lead to concerns around data privacy and security - especially as more organisations are having to comply with national and international regulations. You would not want hackers eavesdropping or intercepting replication traffic. Encrypted replication hides what is sent between the Galera nodes, and makes sure each node is only communicating to the ones it trusts. But how expensive is encryption?

Clustering SugarCRM with MySQL Galera for High Availability and Performance

SugarCRM is the leader in open source CRM systems, and has been adopted by some of the largest firms, including IBM. The CRM software includes all sales, marketing and support tools out of the box, and can also be extended to integrate social media sources. For those depending on SugarCRM, especially when deploying in cloud environments with lower SLAs, having a high availability architecture can make a lot of sense. 

Webinar Replay & Slides: Migrating to MySQL, MariaDB Galera and/or Percona XtraDB Cluster

Thanks to everyone who attended this week’s webinar; if you missed the sessions or would like to watch the webinar again & browse through the slides, they are now available online.

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How to Deploy Galera Cluster for MySQL using Docker Containers

Virtual Machines are great, and very useful when trying out new software. However, they might be an unnecessarily heavyweight solution when testing clusters, especially if these consist of multiple nodes running exactly the same software. Each VM runs a full-blown OS image. On the other hand, Linux Containers (LXC) are an efficient alternative to OS-level virtualization and can run multiple isolated systems on a single host. Docker is a wrapper around LXC, it automates the deployment of applications inside containers. 

How to Cluster Liferay with MySQL Galera and Ceph for High Availability and Performance

Liferay is an open-source content management system written in Java. It is used by a number of high traffic sites, as this survey suggests. 

Active-active Alfresco cluster with MySQL Galera and GlusterFS

Alfresco is a popular collaboration tool available on the open-source market. It is Java based, and has a content repository, web application framework and web content management system. For critical large-scale implementations that require 24*7 uptime, a multi-node cluster would be appropriate. Since Alfresco depends on external components such as the database and the filesystem, clustering the Alfresco instances only would not be enough.

Deploying an Active-Active FreeRadius Cluster with MySQL NDB or Galera

MySQL Cluster is a popular backend for FreeRADIUS, as it provides a scalable backend to store user and accounting data. However, there are situations when the backend database becomes a centralized datastore for additional applications and services, and needs to take a more general-purpose role. NDB usually works very well for FreeRADIUS data, but for wider use cases and reporting type applications, InnoDB can be a better storage engine.

Online Schema Upgrade in MySQL Galera Cluster using TOI Method

As a follow-up to the Webinar on Zero Downtime Schema Changes in Galera Cluster, we’ll now walk you through the detailed steps on how to update your schema. The two methods (TOI and RSU) have both their pros and cons, and given parameters like table size, indexes, key_buffer_size, disk speed, etc., it is possible to estimate the time taken for the schema to be upgraded.

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