The smart grid and its components rely heavily on data and its transmission. This dependence will only continue to grow and with it, the need for advanced solutions that are both distributed and scalable.
The cloud uncouples compute and storage from physical hardware for end users. Consequently, you don’t have to worry about over or under provisioning hardware because you can scale it immediately.
Because the smart grid relies on two-way communication, you need software that can handle the volume of messages that are sent between devices, such as smart meters, and the applications you use to deliver services.
Kafka is popular because of its resilience, scalability, and speed. For instance, OVO Energy uses Aiven Kafka to support over 1 million smart meters. In fact, Aiven Kafka serves as the backbone for the entire data infrastructure.
One practice we see our clients doing is mirroring their primary Kafka cluster to a second in another region or cloud altogether. By doing this, you can rest assured that your pipeline will have minimal interruption if something happens to your primary cluster.
Aside from preparing for the worst, you’ll want to process, filter, and enrich your data in real-time with a platform such as Flink, from where you can send it to a NoSQL, analytics-driven database like Cassandra. Let’s look at a sample architecture.
The cloud uncouples compute and storage from physical hardware for end users. Consequently, you don’t have to worry about over or under provisioning hardware because you can scale it immediately.Download case study
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