13 blog posts in 1 category
We have recently updated our tutorial on MySQL Load Balancing with HAProxy. Read about deployment and configuration, monitoring, ongoing maintenance, health check methods, read-write splitting, redundancy with VIP and Keepalived and more.
This post describes how you can implement automated failover with MariaDB using Maxscale and MHA and compares the two with each other.
This post describes how you can implement automated failover with MariaDB MHA.
In this blog post, we explore the use of php-mysqlnd_ms with a PHP application (Wordpress) on a standard MySQL Replication backend.
Following the release of ClusterControl 1.2.8 with a range of cool new features, we have now also published a new ClusterControl User Guide that provides all the steps, tips & tricks to follow in order to successfully deploy, monitor, manage and scale database clusters.
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.
According to Forrester, a DBA in a large enterprise manages between 8 and 275 databases, with the industry average being 40 databases to a DBA. Larger databases usually require extra effort around tuning, backup, recovery and upgrade. Cloud, as well as automation and management tools can help improve the number of databases managed by one DBA.
If you need to deploy a database cluster behind your corporate firewall, on servers with no internet access, then this blog is for you. Most of the installation tutorials out there require servers to have an internet connection, and that would not work very well with companies under strict policies and compliance guidelines.
We won’t bore you with buzzwords like volume, velocity and variety. This post is for MySQL users who want to get their hands dirty with Hadoop, so roll up your sleeves and prepare for work. Why would you ever want to move MySQL data into Hadoop? One good reason is archival and analytics. You might not want to delete old data, but rather move it into Hadoop and make it available for further analysis at a later stage.
For ops folks with multiple environments and instances to manage, a fully programmable infrastructure is the basis for automation. ClusterControl exposes all functionality through a REST API. The web UI also interacts with the REST API to retrieve monitoring data (cluster load, alarms, backup status, etc.) or to send management commands (add/remove nodes, run backups, upgrade a cluster, add/remove load balancer, etc.). The API is written in PHP and runs under Apache. The diagram below illustrates the architecture of ClusterControl.