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OpenTSDB - A Distributed, Scalable Monitoring System

OpenTSDB - A Distributed, Scalable Monitoring System

SQLite Home Page Distributed monitoring - op5 Distributed network monitoring involves multiple pollers distributed around your network measuring performance from multiple locations. op5 Monitor Enterprise version includes a set of options for distributed monitoring and highly scalable setups with potentially thousands of pollers that can monitor many tens of thousands of devices in large and complex networks. The performance and capacity of op5 Monitor, together with an easy-to-use interface, provides you with a powerful solution for IT monitoring and management of applications, regardless of where they reside – in the data center or in a private, hybrid or public cloud environment. Distributed setup op5 Monitor support distributed setups using peers and pollers to meet the performance and capacity needs of most organizations. Pollers can be geographically distributed and cloud based. Download full 30 day trial version, including all features, API and op5 App support Download op5 Monitor Remote and central administration

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i-enable rmf (remote monitoring framework) is a scalable distributed monitoring system for geographically diversified i-enable rmf (remote monitoring framework) is a scalable distributed monitoring system for geographically diversified, multi-site IT infrastructures. Distributed monitoring brings in scalability and control by designing the monitoring process in a distributed environment. The deployment architecture is made simple as the same tool / software runs as Manager as well as Aggregator with only the characteristics changing, based on the configuration. i-enable rmf MCM (Metrics Collection Manager) is installed at each site (could be a customer location / data center) where it collects and processes the data for the monitored metrics. Once the data for monitored metrics is received at MCA2, it will be processed and stored. Advantages of Distributed Monitoring include:

Firebird: The true open source database for Windows, Linux, Mac OS X and more Ganglia Monitoring System Berkeley DB Tell us about the features you would like to see in Berkeley DB. Take the Berkeley DB Future Feature Survey here. Download Berkeley DB and review the source code, choose your build options and then compile the library in the configuration most suitable for your needs. The Berkeley DB library is a building block that provides the complex data management features found in enterprise class databases. Oracle Berkeley DB fits where you need it regardless of programming language, hardware platform, or storage media. Oracle Berkeley DB 11g provides the foundational storage services for your application, no matter how demanding and unique your requirements may seem to be.

GitHub - mikeaddison93/briefly: Briefly - A Python Meta-programming Library for Job Flow Control db4o :: Java & .NET Object Database – Open Source Object Database, Open Source Persistence, Oodb Monitor Performance with Ganglia - Amazon Elastic MapReduce The Ganglia open source project is a scalable, distributed system designed to monitor clusters and grids while minimizing the impact on their performance. When you enable Ganglia on your cluster, you can generate reports and view the performance of the cluster as a whole, as well as inspect the performance of individual node instances. For more information about the Ganglia open-source project, go to To add Ganglia to a cluster using the console Open the Amazon EMR console at Create cluster.Under the Additional Applications list, choose Ganglia and Configure and add.Proceed with creating the cluster with configurations as appropriate. To add Ganglia to a cluster using the AWS CLI In the AWS CLI, you can add Ganglia to a cluster by using create-cluster subcommand with the --applications parameter. Ganglia provides a web-based user interface that you can use to view the metrics Ganglia collects. DAGScheduler.