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AWS Lambda Benchmarking

Xebia

In this blog post, we examine the relative costs of different language runtimes on AWS Lambda. Many languages can be used with AWS Lambda today, so we focus on four interesting ones. Rust just came to AWS Lambda in November 2023 , so probably a lot of folks are wondering whether to try it out.

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Streamlining AWS Lambda Deployments

Dzone - DevOps

In today's rapidly evolving technology landscape, the ability to quickly and reliably deploy applications is a competitive edge for any organization. AWS Lambda, a serverless computing service from Amazon Web Services (AWS), allows developers to run code without provisioning or managing servers.

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Sending OpenTelemetry Data From AWS Lambda to Honeycomb

Honeycomb

In this post, I describe how to send OpenTelemetry (OTel) data from an AWS Lambda instance to Honeycomb. I will be showing these steps using a Lambda written in Python and created and deployed using AWS Serverless Application Model (AWS SAM). Add your Honeycomb environment’s API key to AWS Secrets Manager.

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AWS Lambda vs. Fargate: The Battle of Cloud Giants

Dzone - DevOps

With the advent of serverless architectures and container services, the technology landscape has transformed dramatically. AWS (Amazon Web Services) has been a major player in this transformation with their extensive suite of cloud services. Two such services that have gained significant popularity are AWS Lambda and Fargate.

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

However, Amazon Bedrock and AWS Step Functions make it straightforward to automate this process at scale. Step Functions allows you to create an automated workflow that seamlessly connects with Amazon Bedrock and other AWS services. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow.

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning - AI

By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format. This solution relies on the AWS Well-Architected principles and guidelines to enable the control, security, and auditability requirements. AI delivers a major leap forward.

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Use custom rules to validate your compliance

Xebia

AWS has a lot of controls built in, but what if you need more? AWS Config allows you to create your own rules. These rules can then inspect your resources and determine if they are compliant. AWS has a built-in config rule for this called s3-bucket-logging-enabled. With AWS Config you can define InputParameters.