Global, Scalable IoT Management Powered by AWS Infrastructure
EdgeKinect Cloud is a highly scalable, AWS-powered iteration of the EdgeKinect platform designed for organizations seeking global reach and robust infrastructure. With multi-AZ load balancers, autoscaling, and 24/7 availability, EdgeKinect Cloud adapts to your needs—whether you're onboarding a few dozen sensors or thousands spread across continents.
Hosted in Amazon Web Services data centers for enterprise-grade uptime and global coverage. Benefit from AWS's ecosystem, including secure storage (S3), serverless functions (Lambda), and more.
Deploys your instance across multiple Availability Zones for automatic failover in case of data center disruptions. Maintains high performance during traffic spikes, ensuring minimal latency worldwide.
Automatically adds or removes server resources based on real-time load metrics. Prevents over-provisioning (reducing costs) or under-provisioning (avoiding performance issues).
Manage EdgeKinect from anywhere with an internet connection. Perfect for multinational businesses consolidating sensor data from various regions.
Built-in encryption, IAM roles, and network isolation features (VPCs) to keep data safe. Achieve or maintain compliance with frameworks like ISO 27001, SOC 2, HIPAA, or GDPR—depending on your region's AWS offerings.
Aggregate sensor data from factories around the world into one centralized, cloud-based command center.
Monitor IoT deployments across multiple farms or greenhouses, each generating heavy sensor traffic during peak seasons.
Collect environmental and energy usage data from hundreds of buildings, adjusting resources as occupancy shifts.
EdgeKinect Cloud merges industrial-grade IoT capabilities with the elastic power of AWS, delivering a platform that's always ready for heavy traffic or widespread expansion. For organizations seeking a truly global, fault-tolerant, and infinitely scalable edge management solution, the Cloud module ensures you can adapt on the fly and keep innovating without worrying about infrastructure constraints.