This deep-dive blog walks through building a production-grade, reusable encryption/decryption microservice on SAP BTP to handle large, sensitive datasets—something not natively supported at scale today. It combines Python, GPG, HANA Data Lake Files, and Kyma-based containerized jobs to deliver high-throughput inbound decryption, Base64 decoding and outbound encryption pipelines. Beyond code, it covers architecture, security, HDLFS integration, and real-world deployment patterns with measurable performance gains. If you’re tackling secure big-file processing on BTP and want a practical, extensible blueprint, this article is a hands-on playbook rather than a high-level concept piece.
This deep-dive blog walks through building a production-grade, reusable encryption/decryption microservice on SAP BTP to handle large, sensitive datasets—something not natively supported at scale today. It combines Python, GPG, HANA Data Lake Files, and Kyma-based containerized jobs to deliver high-throughput inbound decryption, Base64 decoding and outbound encryption pipelines. Beyond code, it covers architecture, security, HDLFS integration, and real-world deployment patterns with measurable performance gains. If you’re tackling secure big-file processing on BTP and want a practical, extensible blueprint, this article is a hands-on playbook rather than a high-level concept piece. Read More Technology Blog Posts by SAP articles
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