Scaling with Keda
Achieving scalability in data ingestion and consumption is crucial for handling vast amounts of data. By leveraging Keda for event-driven auto scaling and custom metrics, the team successfully managed to optimize resource usage, ensuring efficient processing of billions of data points. Insights into monitoring and tuning microservices with Akka further illustrate the importance of adaptability in software architecture.In this clip
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