Collect, process and replicate data from the edge to the datacenter
Rapidly increasing amounts of data, including IoT and device data, are generated outside of datacenters and cloud environments. Simply relaying raw event data from distributed sources to a centralized cloud or datacenter environment is massively inefficient and expensive, particularly over bandwidth-constrained connections. At the same time, the compute resources available at the edge continue to increase rapidly.
Modern technology than can connect, process and storage data across edge, cloud and datacenter environments to intelligently interpret and respond to data has become essential to putting that data to use. The Streamlio platform leverages the capabilities of Apache Pulsar to provide a solution that can be deployed wherever you need to process your data.
Event-driven architecture is a valuable framework for many types of event processing solutions. This blog series explains how Streamlio technology can help.
Success with IoT analytics projects can be elusive without the right technology solution for IoT data pipeline and processing. This blog looks at how better technology can help.