Reduce latency with the cloud
The closer your data infrastructure is to your devices, the faster the data transmission. And the faster the data transmission, the faster you can make adjustments to critical systems or respond to a consumer app.
You can also quickly scale your hardware resources to your needs. For instance, if you’re sending data from HVAC sensors, you can increase capacity during months with extreme weather and decrease it during more temperate ones.
Reduce it even further with Apache Kafka®
Apache Kafka is renowned for its ability to handle massive amounts of data at low latency. This means that your hot data can be handled immediately and your cold data can be batch processed for later analysis.
Kafka is popular because of its resilience, scalability, and speed. Comcast uses Aiven for Apache Kafka to help deliver what they call a “truly smart home,” through the Xfinity Home platform.
And process your data in batch and real-time
Apache Kafka® makes your data available for real-time and batch processing. For the former, you can include a stream processor such as Kafka Streams or Apache Flink®, then push your data into Apache Cassandra® for handling information like last known device state.
For batch processing, it could be as simple as sending your data to S3 for full backups, batch analytics, or even machine learning training. The best part? Aiven can manage most of these components, letting you focus on tasks that add business value.
Find out how Comcast uses Aiven in Xfinity Home
Comcast provides residential wireless security and automation services through Xfinity Home with the aim of creating a single experience that synthesizes customer home and automation needs. To accomplish this, they needed a low latency, scalable solution: Apache Kafka...