Leverage cloud capacity and Activeeon elasticity
Image processing is more and more common in cases such as: The processing of images require specific resources such as GPU or a big enough scale. At the CNES, satellites images needs to be processed to standardized for further processing. 7PB of images needs to transformed. The cloud capacity is consequently adapted to process such scale. The CNES is leveraging Activeeon scheduling solution to distribute the workload over an elastic resource pool in the cloud. Other use cases such as registration plate recognition, crop growth analysis, …. are projects requiring large scale compute power. Scale to 20,000 CPU cores and distribute your application at scale Setup an elastic policy based on the load / queue and pay for what you need only Implement an architecture agnostic to the cloud provider and stay in control between your on-prem needs and cloud needs. Image processing for satellite images analysis, Automatically select the appropriate resource for your workflow Build a strong basis for growth with template and standards. Give users advanced features with a user friendly interface. Handle errors natively and select the rule to adopt from a dropdown menu. Pay for what you need and nothing more Embrace new resources with ease by adapting to your cloud strategy Control govern and monitor processes from the launch to the resource Java,
Python,
Javascript,
Groovy,
Powershell,
Perl,
Control-M,
Dollar Universe,
SLURM,
PBS,
LSF,
SGE/OGE,
Matlab,
Scilab,
Language R,
Azure,
Amazon Web Services (AWS),
OpenStack,
VMware,
Docker,
Talend,
SAS,
Hibernate,
MySQL,
Postgres,
Oracle,
MariaDB,
… Move to open source solution for
Batch Processing,
Grid Computing,
Hybrid Clouds,
Java Workflow Engine,
Job Scheduler,
Open Source Workflow,
Parallel Computing,
Workflow Scheduling,
Workload Automation “Thanks to ProActive and additional optimizations we made along the way with Azure, the batch time which previously was taking us 18 hours, is now down to 5 hours, and by the end of the year, my hope and expectation is to go definitely below 4 hours and possibly less by having more grid hosts and more capacity.” Guido Imperiale “Activeeon is the only solution capable to Schedule any Big Data Analytics, mono-threaded, multi-threaded, multi-core, parallel and distributed.” CapGemini Lead Engineer for Home Office “The ProActive product perfectly integrates into a hybrid multi-platform architecture. The usage of ProActive allowed us to have a trivialized approach to our processing infranstructure which includes Linux and Windows computers and GPU. This product helped us reduce operational costs by 10.” Nicolas PonsCloud elasticity for Satellite Image Analysis
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Activeeon awarded with Innovation prize at Paris Open Source Summit 2018
For image processing and more
A solution built to scale
Some use cases
registration plate identification, crop analysis and more.
Why Activeeon
Distribution at scale and with precision
Schedule and automate
Manage errors automatically
Optimize
Any strategy: onprem, hybrid, multi-cloud
End to end
Integrates with every process
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For any situation
Testimonials
Lead integration engineer at Legal and General
Head of InfoBioStat platform at MetaGenoPolis (INRA)