Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. It leverages widely used technologies such as XML for data representation, XDR for compact, portable data transport, and RRDtool for data storage and visualization. 
 
 It has been used to link clusters across university campuses and around the world and can scale to handle clusters with 2000 nodes. It relies on a multicast-based listen/announce protocol to monitor state within clusters. The ganglia system comprises two unique daemons, a PHP-based web front-end. 
 
 Demo:
 <UL>
	<LI><A HREF="http://monitor.millennium.berkeley.edu/" target="_blank">http://monitor.millennium.berkeley.edu/</A>. Monitoring of University of California Berkeley Grid.</LI>
	<LI><A HREF="http://ganglia.wikimedia.org/" target="_blank">http://ganglia.wikimedia.org/</A> Monitoring of Wikimedia grid</LI>
 </UL>
 Sourceforge location: <A HREF="http://sourceforge.net/projects/ganglia/" target="_blank">http://sourceforge.net/projects/ganglia/</A>

Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. It leverages widely used technologies such as XML for data representation, XDR for compact, portable data transport, and RRDtool for data storage and visualization.

Ganglia - scalable distributed monitoring system

Riemann monitors distributed systems. It aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception raised by your code. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite.


Riemann - Monitors Distributed Systems

Performance Co-Pilot (PCP) provides a framework and services to support system-level performance monitoring and management. It presents a unifying
abstraction for all of the performance data in a system, and many tools for interrogating, retrieving and processing that data. The distributed PCP
architecture makes it especially useful for those seeking centralized monitoring of distributed processing.

Performance Co-Pilot - System Performance and Analysis Framework.

Vector is an open source on-host performance monitoring framework which exposes hand picked high resolution system and application metrics to every engineer’s browser. Having the right metrics available on-demand and at a high resolution is key to understand how a system behaves and correctly troubleshoot performance issues.

Vector - Performance Monitoring Framework

Galera cluster provides distributed, multi master support for MySQL and MariaDB. Its feature include Synchronous Replication, True Multi-master, Active-Active Cluster Read and write to any node at any time, Automatic Node Provisioning, Multi-threaded Slave and lot more. 
 
Galera Cluster is a superb replication system when using MySQL or MariaDB for your databases. However, it does have some limits for which you may want to be aware before migrating to it. Within the database server, other than the system tables, which use MyISAM, only InnoDB tables are allowed. InnoDB is used because it’s an excellent transactional storage engine. All tables must have an explicit primary key, either a single or a multi-column index.

Galera cluster provides distributed, multi master support for MySQL and MariaDB. Its feature include Synchronous Replication, True Multi-master,  Active-Active Cluster Read and write to any node at any time, Automatic Node Provisioning, Multi-threaded Slave and lot more. 

Galera - Cluster for MySQL and MariaDB

Apache Geode  is distributed, in-memory database for scale-out applications. All data is stored in-memory for low latency. Performance scales linearly as nodes are added. Data is distributed automatically between nodes to optimize performance. Clusters fail-over to other nodes in case of failures, and rebalance remaining resources. Geode servers can be configured to talk memcached protocol. 

Apache Geode - Distributed, In-memory Database for Scale-Out Applications

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Ganglia - scalable distributed monitoring system

Riemann - Monitors Distributed Systems

Performance Co-Pilot - System Performance and Analysis Framework.

Vector - Performance Monitoring Framework

Galera - Cluster for MySQL and MariaDB

Apache Geode - Distributed, In-memory Database for Scale-Out Applications

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Ganglia - scalable distributed monitoring system

Riemann - Monitors Distributed Systems

Performance Co-Pilot - System Performance and Analysis Framework.

Vector - Performance Monitoring Framework

Galera - Cluster for MySQL and MariaDB

Apache Geode - Distributed, In-memory Database for Scale-Out Applications

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