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.
The Streamlio platform, powered by the proven Apache Pulsar technology, can be deployed from edge to cloud to datacenter, creating a data fabric that can connect, move and process fast data.
The Streamlio solution, powered by Apache Pulsar, can be deployed not only in datacenters and cloud environments, but also in resource-limited environments such as points of presence, aggregators, and control systems. That allows you to deploy a consistent infrastructure for your data across all your environments.
Leveraging Apache Pulsar’s built-in replication and stream-native processing, you can easily filter, aggregate and cleanse fast-moving data at the edge and then efficiently and reliably transmit it to cloud or datacenter systems for further processing and use.
The stream-native processing framework in Apache Pulsar makes it possible to filter, aggregate, cleanse and analyze data at the edge, allowing you to act on data immediately as well as intelligently route and forward data to cloud and datacenter environments for historical analytics across combined data streams.