The real-time data Big Bang is driving the mainstream expansion of real-time analytics and AI/ML applications. Another result shows that real-time applications are outperforming the capacity, performance, and availability of in-memory infrastructures. SYSALIGN presents this solution.
SYSALIGN, a new in-memory infrastructure software, configures a virtualized memory pool in high-speed networks and system bus environments without making any system changes. This underpins the need to simply infrastructure and improve technology that optimizes total cost of ownership (TCO) as the environment for faster processing and analysis of real-time Big Data is growing.
Do you have a lot of data to process and burdened with computing infrastructure investment? Through idle resources in existing infrastructure systems, large data computation concentration and resource distribution through multi-hybrid configuration large-capacity memory donut nodes between on-premises and cloud are realized. Through this, investment in infrastructure configuration is minimized by configuring and distributing the re-efficiency of computational resources.
Do you want to build an effective infrastructure environment based on the service type and usage environment?
Scale share-based solutions—able to configure different node(server) specifications into one pool-provides not only the freedom to scale up/down,
but also provides the agility to speed up infrastructure configuration by allowing a user to deploy the infrastructure with one-click.
The competitiveness of the service is stability and performance. With a more efficient architecture design for the virtualization layer, it builds the integrity of valuable data and services with a unique system down prediction and processing method in memory, the center of data processing, along with performance that exceeds the limits of existing virtualization.
Find out how our technology will further enhance customer value.