data-engineer-pro video for scenario: You stream order data through a Dataflow pipeline and store the aggregated results in a Memorystore for Redis instance.
Scenario: You stream order data through a Dataflow pipeline and store the aggregated results in a Memorystore for Redis instance. The current instance is provisioned with Basic Tier and 4 GB capacity and serves 40 read-only clients. You expect the number of read-only clients to increase to a few hundred. You need to ensure high availability and scalability for read and write access without disrupting performance. Any changes you implement must be quickly deployable. Question: What should you do to handle the increased demand for read-only access while maintaining high availability and quick deployment?