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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.
All of this was entirely automated with the softwaredevelopment 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.
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 softwaredevelopment lifecycle. billion in value.
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 (SoftwareDevelopment LifeCycle) infrastructure in one AWS account. think EC2 services, staggered release, etc.
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 (SoftwareDevelopment LifeCycle) infrastructure in one AWS account. think EC2 services, staggered release, etc.
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.
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