The new AWS Greengrass version now allows developers to deploy executables written in C, C++, and other languages that imports C libraries. Executable codes leverage greater legacy support as the customers can re-use the code easily which is already written in C, C++. There is also minimal resource footprint as there will no need of language interpreter and low compute latency for high-performance use cases such as algorithmic trading and computer vision. The executable code can act like the AWS Lambda function which can invoke other Lambdas or get invoked by events and can leverage from other Greengrass functionality such as the Local Resource Access.
Subscribe to:
Post Comments (Atom)
Kickstart Your GenAI Journey with Amazon Bedrock & Boto3 — How to Send Files, Handle Unsupported Formats & Start Exploring
✅ No S3 buckets ✅ No web frameworks ✅ Just plain Python, a file, and a smart AI agent ✅ BONUS: Learn how to handle Excel/Word files even if ...
%20(1).png)
No comments:
Post a Comment