The new release of Bright Cluster Manager and Brigh OpenStack are great steps forward. More specifically they resulted in:
Great Technology
Work on Bright Cluster Manager in the second period has lead to such an increase in the technology features included, the jump to a new major version Bright Cluster Manager 8.0 was fully justified. The 2nd release during this period, release 8.1 added significant improvements.
Work on ”Extension to Big Data and OpenStack” has been reported in deliverables D5.1 and D5.2. As a result Bright Cluster manager now has been extended with mature Hadoop management capabilities.
The OpenStack work included cloud bursting facilities for AWS and Microsoft Azure as an important feature allowing to firmly establish Bright computing in the Cloud market.
Great Scaling Up Potential
The new releases of Bright Cluster Manager 8.0 and 8.1 enable a step forward to reaching “Disproportionate growth for Bright Computing”. This has been reinforced by specific work in WP3 on marketing, communication and a new set-up of the partner programme.
Customers , including new customers, respond very positively to the new Bright Cluster Manager releases. They especially appreciate the ease of use of the well tested combination Bright Cluster Manager with OpenStack.
Great Market Potential
The integration work combining HPC, Cloud, and Big Data technology was well received by the market, resulting in customers that used a combination of those three. Furthermore, Bright Computing has now entered the new Big Data and Cloud computing markets.
Great Enabler
More efficient cluster computing: Already over 100 customers have installed Bright Cluster Manager 8.0 or have version 8.1 in use or under evaluation. Especially existing customers moving to 8.0 do so because it brings them a more efficient way of managing their clusters. The large number of evaluation versions show Bright Cluster Manager 8.1 helps to spread cluster computing to new markets.
Thanks to Bright Cluster Manager 8.0 and 8.1 HPC, Big Data and Cloud are working even more together than before to solve societal challenges. Several large societal challenges, such as improvements in the medical area that need advanced bioinformatics, or climate related research, require Big Data captured and collected by many instruments and sensors, stored locally and in the Cloud. Complex analysis often involves Cloud based analysis and HPC modelling. Bright Cluster Manager has provided an integrated environment where these three things work together. The list of Bright customers show there are many research organisations that are tackling these societal challenges.