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The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the...
VDT - Visual Disk Test : performs I/O tests on files, partitions, and/or disks with visual feedback/follow-up, offering flexible test area selection by size, location, percent, or combinations thereof, plus test duration control by time or size.
ciperf is used to calculate the -b and -l values for iperf in order to produce a chosen udp packet throughput (overhead = 51 bytes) in respect to some variables which may change the calculation of the parameters (e.g. computers, links, ...).
Free Java monitoring library to easily instrument apps to measure performance detail over time with minimal overhead. Has dashboard, SVG graphs. Extends Jamon and its statistical data, same usage. http://www.e-peas.com/opensla/. JMX, SNMP planned.
Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.
Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.