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Eclipse Dataspace Components on AWS: Cost optimization strategies
architect

Eclipse Dataspace Components on AWS: Cost optimization strategies

When you deploy Eclipse Dataspace Components (EDC) connectors on AWS, one of the first challenges you face is predicting and controlling the cost of the required infrastructure. Without clear benchmarks, it is difficult to make informed decisions about workload sizing, environment configuration, and long-term investment. Part 1 of this 3-part blog series covered the fundamentals

AWS Architecture Blog ·
Eclipse Dataspace Components on AWS: Architecture patterns in production
architect

Eclipse Dataspace Components on AWS: Architecture patterns in production

Running Eclipse Dataspace Components (EDC) connectors in production on AWS requires deliberate architecture decisions around isolation, managed services, and security layering. In Part 1 of this series, we covered the fundamentals of data space architectures and EDC per the International Data Space Association’s (IDSA) standards. If you are new to EDC, we recommend starting there.

AWS Architecture Blog ·
Eclipse Dataspace Components on AWS: Data sharing fundamentals
architect

Eclipse Dataspace Components on AWS: Data sharing fundamentals

This three-part blog series offers a comprehensive guide to implementing Eclipse Dataspace Components (EDC) on AWS. The first installment lays the theoretical groundwork, covering IDSA standards, the Dataspace Protocol (DSP), and the essential architecture of EDC. The second part focuses on practical deployment patterns suitable for production, utilizing AWS services such as Amazon Elastic Container Service (ECS) and Amazon Aurora. The series ultimately aims to facilitate successful EDC implementation on AWS.

AWS Architecture Blog ·

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