Remove Lambda Remove SDLC Remove Software Development
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Using Agents for Amazon Bedrock to interactively generate infrastructure as code

AWS Machine Learning - AI

Diagram analysis and query generation : The Amazon Bedrock agent forwards the architecture diagram location to an action group that invokes an AWS Lambda. An AWS account with the appropriate IAM permissions to create Amazon Bedrock agents and knowledge bases, Lambda functions, and IAM roles.

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eSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker

AWS Machine Learning - AI

All of this was entirely automated with the software development lifecycle (SDLC) using Terraform and GitHub, which is only possible through SageMaker ecosystem. This system uses AWS Lambda and Amazon DynamoDB to orchestrate a series of LLM invocations.

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Growing digital product development trends in 2023

Modus Create

All major cloud providers (AWS, Azure, Google Cloud) provide serverless options, with AWS Lambda being the most popular serverless computing platform. DevSecOps (development, security, and operations) is an approach that integrates security practices throughout the software development lifecycle. billion in value.

Trends 75
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Continuous Integration / Continuous Delivery on AWS

Mike Roberts

AWS have a bunch of different products in this area grouped into their “CodeSuite” developer tools : CodeCommit is their managed Git service. Think “GitHub Light”, useful if you want to keep your entire SDLC (Software Development LifeCycle) infrastructure in one AWS account. think EC2 services, staggered release, etc.

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Continuous Integration / Continuous Delivery on AWS

Mike Roberts

AWS have a bunch of different products in this area grouped into their “CodeSuite” developer tools : CodeCommit is their managed Git service. Think “GitHub Light”, useful if you want to keep your entire SDLC (Software Development LifeCycle) infrastructure in one AWS account. think EC2 services, staggered release, etc.

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HCLTech’s AWS powered AutoWise Companion: A seamless experience for informed automotive buyer decisions with data-driven design

AWS Machine Learning - AI

The workflow consists of the following steps: The users query, expressed in natural language, is processed by an orchestrated AWS Lambda The Lambda function tries to find the query match from the LLM cache. The following figure depicts the technical flow of the solution. If a match is found, the response is returned from the LLM cache.