You serve customers and employees with the mission-critical apps that run on Fusion. As the number of applications, queries, and documents grow, those apps will continue to perform reliably.
You’ve got application SLAs to maintain. With Fusion, you can meet those with less infrastructure. When demand is low, dial down and save money. When there’s peak demand, ramp back up.
Whether you have one application running on Fusion or ten, you can maintain, upgrade and add new apps with less administrative effort and with little to no disruption in service.
DevOps teams have conflicting demands on their time. In general, development and deployment of new business applications makes the best use of their time and resources. Managing an internal hardware stack in support of an intelligent search platform? Not so much. Some of Lucidworks’ largest customers prefer that we manage Fusion for them.
Fusion is available for private cloud deployments or for self-hosting in the data center. This allows our customers to offer services over the Internet or in a private internal network and make those available only to select users, giving them public cloud advantages, with the control of hosting on-premises.
Customers who use Kubernetes can deploy a single-tenant Fusion cloud environment running on-premises or in an off-site data center. For those strategies, customers can use Kubernetes on RedHat Openshift or Kubernetes on Rackspace.
Deploy Fusion either on a multi-tenant Public Cloud infrastructure or on Virtual Private Cloud deployments, running on a cloud environment dedicated to just one customer. VPCs protect clients running mission-critical applications from “noisy neighbors” who might consume more than their fair share of resources. VPCs also offer private IP and networks for added information security. No noisy neighbors. No nosey neighbors.
We support Fusion on:
Lucidworks offers pricing across three product tiers, either self-hosted by your team or as a Lucidworks managed service in the cloud with list prices calibrated to expected usage levels.