Service and Support
Customer service and support from Lumu are highly regarded. Assistance is prompt, with issues typically resolved quickly. Support teams, especially in Colombia, are praised for their effectiveness. During setup, users appreciated guidance from staff members like Sebastian. Minimal false positives and border issue identification enhance user satisfaction. Technical support is rated nine out of ten for value and reliability, offering dependable help when needed. Pricing is considered reasonable, providing excellent value for service received.
Deployment
Lumu's initial setup is described as simple and quick, often plug-and-play. Many users report it takes minutes to start data flow, though full deployment can vary, with some completing it within a few hours and others requiring up to a month for extensive networks. Deployments involve minimal team members, and clear instructions facilitate ease. Users appreciate the tool's autonomous operation after setup, with minimal maintenance required.
Scalability
Users express varied experiences about Lumu's scalability. While some report seamless deployment with no challenges, others mention difficulties when scaling to additional nodes, despite the simplicity in process integration. A segment of users found Lumu entirely scalable, easily deploying it across numerous devices. Conversely, some experienced frequent malfunctions upon expanding to larger networks, suggesting uncertainty about its capacity in larger infrastructures. Assessments range from very high to moderate, reflecting individual circumstances and IT environments.
Stability
Users rate Lumu's stability highly, consistently giving it ten out of ten. They report no trouble, lagging, crashing, or downtime. Even during maintenance periods, which occurred after midnight, no disruptions were experienced. With implementation for network monitoring and IT footprints, stability remains impressive. Organizations state there are no problems or incidents unless caused by themselves. Future deployments with more agents will offer further insight into its reliability across larger setups.