20 – Choose cost-efficient tools for data aggregation of your IoT workload - IoT Lens Checklist

20 – Choose cost-efficient tools for data aggregation of your IoT workload

How do you deliver, enrich, and aggregate data across your IoT workload? Methods and tools for how data is acquired, validated, categorized, and stored impacts the overall cost of your application. Focusing on tools that can automatically vary in scale and cost with demand and support your data with a minimum of administrative overhead can help you achieve lowest cost for your application. By considering the data pipeline from origination to archival, you can make informed decisions and examine tradeoffs among technical and business requirements to identify the most effective solution.

Follow the best practices and check if your workload is well-architected.

ID Priority Best Practice
BP 20.1 Required Use a data lake for raw telemetry data
BP 20.2 Highly Recommended Provide a self-service interface for end users to search, extract, manage, and update IoT data
BP 20.3 Highly Recommended Track and manage the utilization of data sources
BP 20.4 Highly Recommended Aggregate data at the edge where possible

For more details, see the following links and information.