NEW YORK, NY– Strata + Hadoop World (Booth 236) — Cloudwick, the leading big data DevOps service and solution provider to the Fortune 1000, today announced Big Loop, its multi-vendor operations platform. Cloudwick Big Loop creates greater collaboration between Fortune 1000 IT staff, developers and their database management systems as well as big data vendors. This allows customers to comprehensively manage and oversee their entire infrastructure, which leads to more successful production cluster operations, and scale-out. Cloudwick Big Loop supports DataStax, the leading distributed database technology company, and big data vendors — Cloudera, Hortonworks, MapR, Amazon Web Services (AWS) and Spark clusters — on-premise or in the cloud.
“Enterprise IT managers have a lot on their minds and often lack the technical staff to make sure systems are running optimally,” said Mani Chhabra, Cloudwick CEO. “Ensuring availability, reliability and performance is key to big data success and Cloudwick Big Loop brings insight from more than 125,000 hours of experience with more than 10,000 nodes at Fortune 1000 companies.”
“At DataStax, we are privileged to have an active and highly innovative partner network,” said Kevin Pardue, Regional Channel Director, DataStax. “Cloudwick solves one of the hardest problems facing IT managers today — managing multiple technologies and big data platforms, all at the same time.”
“Communication, access to knowledge and rapid innovation are vital to the success of production clusters,” said Mark Schreiber, Cloudwick GM. “Cloudwick Big Loop fosters open communication to ensure everyone who works on the system know the status of cluster health at all times for optimal performance. It is a must-have for mission-critical big data applications.”
Cloudwick Big Loop is designed to support clusters on-premise or in the cloud — Amazon Web Services (AWS), Google Compute, Microsoft Azure, or Rackspace. Cloudwick Big Loop is included as part of Cloudwick’s industry leading DevOps big data support services for Cassandra, Hadoop and Spark.