Transform your data center into a high performance, efficient and elastic compute platform.

New cluster management and container-based technologies are redefining the data center

  High utilization and efficiency

  Massively scalable with low latency

  Low operational overhead

  Reduced infrastructure costs

Effective Infrastructure Is Critical For Business Viability

Enterprises are idling close to 85% of their compute capacity while applications are typically starved for resources. The intense, competitive environment does not allow Enterprises to ignore this huge inefficiency any longer.

We leverage the power of Apache Mesos - a fault tolerant, distributed cluster manager, to bring a web scale, efficient computing platform to the enterprise. We have implemented and scaled systems to handle 10s of thousands of TPS across disparate applications while better utilizing the infrastructure.

The result is a computing platform that provides low latency, high server utilization, massive scalability and low operational overhead.

CASE STUDY

Docker is an open-source project that automates the deployment of applications inside software containers, by providing and additional layer of abstraction and automation of operating system-level virtualization on Linux.

Mesosphere combines your datacenter servers and cloud instances into one shared pool from which any app or framework can draw.

Apache Mesos is a cluster manager that simplifies the complexity of running applications on shared pool of servers.

Our Services

We leverage our deep understanding of high performing and resource efficient compute infrastructure to help transform traditional data centers to a demand based, efficient computing platform.

Enterprises can potentially reduce 50% of their CAPEX and substantially reduce their operational outlay by leveraging our expertise. We help enterprise adopt Apache Mesos, deploy it to application environments and monitor and manage clusters.

Cluster Architecture

Assessment, analysis and definition of cluster architecture, ensuring enterprise SLAs and integration with enterprise operations tool-sets for storage, service maintenance, monitoring and management

Application On-boarding

On-boarding applications or services onto the application specific requirements, legacy interfaces, performance and availability SLAs and security

Monitoring and Management

Implement cluster monitoring and management to monitor and manage application and service health, cluster nodes, utilization, scheduling conflicts and node failures