Kyligence announced a new
remote managed services offering. Kyligence Managed Services provide enterprise
organizations automated operation and maintenance tools, consultancy from
experienced product experts, 99.9 percent SLA guarantee and 24/7/365 support.
"Enterprises
need a fast pace of technological innovation to respond to the agile
development of digital transformation initiatives, however, big data solutions
are very diverse and the learning threshold is generally high," said Silas Ge,
vice president of customer success, Kyligence. "The right IT talent can be
difficult to find and very costly. Kyligence Managed Services helps enterprises
lower operational labor costs while providing a higher level of service."
Kyligence
Managed Services provide:
- Service
status monitoring and troubleshooting - Kyligence checks product running
status through automated monitoring and operation tools, identifies and
solves product failures and potential problems, and ensures the stable
operation and SLA of Kyligence products.
- Regular
health checks and optimization recommendations - Kyligence's experts
inspect running products regularly, by examining the trends of the
operational data, identify and solve latent risks, and give relevant
optimization suggestions.
- TCO
monitoring and optimization advisory - Through daily monitoring and
maintenance tools, Kyligence's experts record the product resource usage, give
professional advice on resource usage and management and communicate with
customers about optimization suggestions to reduce the Total Cost of
Ownership (TCO) while ensuring the system performance.
"The value
of using cloud-based analytics is speed, agility and cost savings," said David
Menninger, senior vice president and research director, Ventana Research.
"However, many organizations are challenged with the endless process of
monitoring, maintaining, debugging, and resolving technology issues even when
they are running on cloud infrastructure. A managed services offering helps
organizations reduce the infrastructure and human capital costs in their data
and analytics processes while increasing the productivity of their resources."