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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.
Functions as a Service (FaaS) is a category of cloud computing services that all main cloud providers are offering (AWS Lambda, Azure Functions, Google Cloud Functions, etc). In a matter of minutes, you can develop and deploy functions for all cloud providers. Functions as a Service. You want to compress some data as soon as it lands into S3?
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. The following diagram visualizes the architecture diagram and workflow.
With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions.
All major cloud providers (AWS, Azure, Google Cloud) provide serverless options, with AWS Lambda being the most popular serverless computing platform. implemented security practices earlier in SDLC) or are planning to this year. billion in value.
All the major cloud providers now have a serverless computing offer as part of their services portfolio: Amazon Web Services has Lambda, Microsoft Azure has Azure Functions, and Google Cloud has Cloud Functions. This can make testing a chore, and sometimes a neglected part of the SDLC for these platforms. Local/CI Testing.
Think “GitHub Light”, useful if you want to keep your entire SDLC (Software Development LifeCycle) infrastructure in one AWS account. It’s all in AWS, which means that’s its performance is decent, you can integrate all the other AWS services (IAM, customization with Step Functions and Lambda, use CloudTrail events for monitoring, etc.)
Think “GitHub Light”, useful if you want to keep your entire SDLC (Software Development LifeCycle) infrastructure in one AWS account. It’s all in AWS, which means that’s its performance is decent, you can integrate all the other AWS services (IAM, customization with Step Functions and Lambda, use CloudTrail events for monitoring, 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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