PUBLIC MARKS with tags mysql & cluster

CMON is a daemon that aggregates information from MySQL Cluster that earlier was only accessible from the cluster log or the management client, such as: * cluster state * node state * backup statistics * statistics * cluster events (cluster log basically) .. and let's you access the information using SQL, because CMON logs the information into ordinary MYISAM tables! So, it is really easy to use! In the package you also get get php scripts that you can put on your webserver to generate graphs and get a www interface to CMON. CMON can also start ndbd nodes and make decisions on how they should be started (with or without --initial). CMON starts as a daemon and will automatically create cmon database and install the necessary tables automatically.

Quand un site web dynamique commence à avoir un trafic important, généralement on va essayer de multiplier les serveurs web qui hébergent les fichiers. Multiplier les serveurs web n’est pas le plus difficile, il suffit de faire une réplication des données à chaque mise à jour de votre site et de multiplier les sous-domaines. Les choses se compliquent lorsque vous souhaitez avoir plusieurs serveurs de base de données. La base de données que nous étudierons ici est MySQL. Nous ne parlerons pas de cluster MySQL dans cet article. Le but de l’article est de montrer comment séparer un serveur MySQL en trois serveurs distincts : 1 maitre et deux esclaves, avec un seul point d’entrée (le proxy MySQL). Le proxy devra envoyer les requêtes de lecture vers les serveurs esclaves et toutes les autres requêtes vers le serveur d’écriture.

This tutorial is based on Falko Timme's tutorial for MySQL Cluster 5.0. It shows how to configure a MySQL 5.1 cluster with five nodes: 1 x management, 2 x storage nodes and 2 x balancer nodes. This cluster is load-balanced by an Ultra Monkey package which provides heartbeat (for checking if the other node is still alive) and ldirectord (to split up the requests to the nodes of the MySQL cluster). In this document I use Debian Etch 4.0 for all nodes. Therefore the setup might differ a bit for other distributions. The two data nodes were x64 to use all of the 8GB RAM. Servers were compiled from source so you should be able to make it running on any platform. The MySQL version I use in this setup is 5.1.24-rc. It's a release candidate, but I wanted to use 5.1 to take advantage of Memory-Disk Based tables. Beginning with MySQL 5.1.6, it is possible to store the non-indexed columns of NDB tables on disk, rather than in RAM as with previous versions of MySQL Cluster.

Scalr is a fully redundant, self-curing and self-scaling hosting environment utilizing Amazon's EC2. It allows you to create server farms through a web-based interface using prebuilt AMI's for load balancers (pound or nginx), app servers (apache, others), databases (mysql master-slave, others), and a generic AMI to build on top of. The health of the farm is continuously monitored and maintained. When the Load Average on a type of node goes above a configurable threshold a new node is inserted into the farm to spread the load and the cluster is reconfigured. When a node crashes a new machine of that type is inserted into the farm to replace it. 4 AMI's are provided for load balancers, mysql databases, application servers, and a generic base image to customize. Scalr allows you to further customize each image, bundle the image and use that for future nodes that are inserted into the farm. You can make changes to one machine and use that for a specific type of node. New machines of this type will be brought online to meet current levels and the old machines are terminated one by one. The project is still very young, but we're hoping that by open sourcing it the AWS development community can turn this into a robust hosting platform and give users an alternative to the current fee based services available.

MMM (MySQL Master-Master Replication Manager) is set of flexible scripts to perform monitoring and management of MySQL Masrter-Master replication cluster configurations.

MySQL provides a built-in data replication functionality for maintaining identical copies of its data to one or more backend servers, thus providing a simple High Availability mechanism. On the other hand, the Open Source community has several projects to implement failover techniques, being one of them Heartbeat. This article will show you how to implement a clustered, highly available and inexpensive solution based on GNU/Linux and combining MySQL as the database engine and Heartbeat as the failover mechanism. The configuration will consist of a 2-node active/passive cluster.

This tutorial shows how to configure a MySQL 5 cluster with three nodes: two storage nodes and one management node. This cluster is load-balanced by a high-availability load balancer that in fact has two nodes that use the Ultra Monkey package which provides heartbeat (for checking if the other node is still alive) and ldirectord (to split up the requests to the nodes of the MySQL cluster).

You MUST have a third server as a managment node but this can be shut down after the cluster starts. Also note that I do not recommend shutting down the managment server (see the extra notes at the bottom of this document for more information). You can no

Mise en cluster de serveurs Mysql

This tutorial shows how to configure a MySQL 5 cluster with three nodes: two storage nodes and one management node. This cluster is load-balanced by a high-availability load balancer that in fact has two nodes that use the Ultra Monkey package which provi

S'il est encore difficile d'installer un cluster MySQL en 15 minutes, les tutoriels pour assurer la configuration initiale sont de plus en plus nombreux. En voici pas moins de quatre, avec des versions récentes de MySQL (5.1 recommandée). Les limitations du Cluster le réservent encore pour des applications spécialisées. Toutefois, le temps de mise en place et la courbe s'apprentissage se réduisent à chaque version.

This tutorial shows how to configure a MySQL 5 cluster with three nodes: two storage nodes and one management node. This cluster is load-balanced by a high-availability load balancer that in fact has two nodes that use the Ultra Monkey package that provides heartbeat (for checking if the other node is still alive) and ldirectord (to split up the requests to the nodes of the MySQL cluster).

Collection of Perl scripts to aid in managing groups of Linux MySQL servers through the following means: - monitor replication - automate backups - ease upgrades - create single point of configurability for all servers