AWS Machine Learning - AI

APRIL 9, 2025

This architecture workflow includes the following steps: A user submits a question through a web or mobile application. The architecture of this system is illustrated in the following figure. These embeddings are then saved as a reference index inside an in-memory FAISS vector store, which is deployed as a Lambda layer.

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Xebia

DECEMBER 13, 2024

Relative Python imports can be tricky for lambda functions. But recently, I ran into the same issue with Dockerized lambda functions. py touch lib/functions/hello-world/requirements.txt touch lib/functions/hello-world/Dockerfile Now you will need to fill the Dockerfile, like this: FROM public.ecr.aws/lambda/python:3.12

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AWS Machine Learning - AI

NOVEMBER 27, 2024

Custom orchestrator overview Implemented by users as an AWS Lambda function, the Amazon Bedrock Agents custom orchestrator offers granular control over task planning, completion, and verification. States are passed in the request schema from Amazon Bedrock Agents to the customer orchestrator handled through the Lambda function.

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AWS Machine Learning - AI

MARCH 13, 2025

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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AWS Machine Learning - AI

OCTOBER 29, 2024

We walk through the key components and services needed to build the end-to-end architecture, offering example code snippets and explanations for each critical element that help achieve the core functionality. You can invoke Lambda functions from over 200 AWS services and software-as-a-service (SaaS) applications.

Generative AI 111

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AWS Machine Learning - AI

MAY 2, 2025

The following diagram illustrates the solution architecture on AWS. Semantic word associations with API Gateway and Lambda While the initial word list generated by Amazon Rekognition provides a solid starting point, the user might be seeking a more specific or related word.

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AWS Machine Learning - AI

FEBRUARY 11, 2025

Solution overview The following architecture diagram represents the high-level design of a solution proven effective in production environments for AWS Support Engineering. The following diagram illustrates an example architecture for ingesting data through an endpoint interfacing with a large corpus.

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AWS Machine Learning - AI

NOVEMBER 18, 2024

It exposes an API endpoint through Amazon API Gateway that proxies the initial prompt request to a Python-based AWS Lambda function, which calls Amazon Bedrock twice. The prompt and parameters are passed to Amazon Bedrock using an inference API called by the Lambda function. The following diagram illustrates the flow of events.

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AWS Machine Learning - AI

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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AWS Machine Learning - AI

NOVEMBER 19, 2024

Solution overview This section outlines the architecture designed for an email support system using generative AI. The following diagram provides a detailed view of the architecture to enhance email support using generative AI. The workflow includes the following steps: Amazon WorkMail manages incoming and outgoing customer emails.

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AWS Machine Learning - AI

NOVEMBER 26, 2024

These actions can be implemented in the cloud using AWS Lambda , or you can use local business logic with return of control. As part of the agent, we configure action groups consisting of Lambda functions, which gives the agent the ability to perform various actions. The following diagram illustrates the solution architecture.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. Alternatively, you can use AWS Lambda and implement your own logic, or use open source tools such as fmeval.

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AWS Machine Learning - AI

JANUARY 13, 2025

The architecture seamlessly integrates multiple AWS services with Amazon Bedrock, allowing for efficient data extraction and comparison. The following diagram illustrates the solution architecture. The text summarization Lambda function is invoked by this new queue containing the extracted text.

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AWS Machine Learning - AI

MAY 1, 2025

We will deep dive into the MCP architecture later in this post. Using a client-server architecture (as illustrated in the following screenshot), MCP helps developers expose their data through lightweight MCP servers while building AI applications as MCP clients that connect to these servers.

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Xebia

OCTOBER 23, 2024

Architecture Overview The accompanying diagram visually represents our infrastructure’s architecture, highlighting the relationships between key components. We will also see how this new method can overcome most of the disadvantages we identified with the previous approach. Without further ado, let’s get into the business!

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AWS Machine Learning - AI

OCTOBER 21, 2024

We use AWS Amplify , Amazon Cognito , Amazon API Gateway , AWS Lambda , and Amazon Bedrock with the Amazon Titan Image Generator G1 model to build an application to edit images using prompts. The architecture uses Amazon Cognito for user authentication and Amplify as the hosting environment for our frontend application.

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Stackery

JUNE 5, 2025

By default, you can only invoke 1,000 Lambda functions at the same time within an AWS account. If you mix production and development resources in the same AWS account, then a runaway Lambda recursive invocation in development could exhaust all the available concurrent invocations and break the production infrastructure.

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Dzone - DevOps

JUNE 18, 2025

Infrastructure management abstraction, which is provided by serverless platforms like AWS Lambda, Google Cloud Functions, and Azure Functions, allows developers to concentrate on building their functionality while the cloud provider takes care of scaling, patching, and maintenance.

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AWS Machine Learning - AI

APRIL 1, 2025

Accelerate building on AWS What if your AI assistant could instantly access deep AWS knowledge, understanding every AWS service, best practice, and architectural pattern? Lets create an architecture that uses Amazon Bedrock Agents with a custom action group to call your internal API.

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Dzone - DevOps

OCTOBER 4, 2023

Building Efficient Lambda Functions with Node.js: Unleashing the Power of Serverless Magic In the ever-evolving landscape of cloud computing, serverless architecture has emerged as a transformative paradigm, enabling developers to focus on code without the burden of managing infrastructure.

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Dzone - DevOps

JUNE 21, 2024

Navigating toward a cloud-native architecture can be both exciting and challenging. In this article, I wanted to focus on an example where my project seemed like a perfect serverless use case, one where I’d leverage AWS Lambda. The expectation of learning valuable lessons should always be top of mind as design becomes a reality.

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Dzone - DevOps

OCTOBER 28, 2024

We have seen multiple examples and use cases of building a low code API using Kumologica and running it on AWS lambda and on Azure function. Photo by Chris Linnett Architecture Based on the design defined in the diagram (Figure 1), we will be building Kumologica applications as a Docker container.

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Dzone - DevOps

AUGUST 15, 2023

When used to construct microservices, AWS Lambda provides a route to craft scalable and flexible cloud-based applications. AWS Lambda supports code execution without server provisioning or management, rendering it an appropriate choice for microservices architecture.

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AWS Machine Learning - AI

MARCH 20, 2025

Lets look at an example solution for implementing a customer management agent: An agentic chat can be built with Amazon Bedrock chat applications, and integrated with functions that can be quickly built with other AWS services such as AWS Lambda and Amazon API Gateway. Then the user interacts with the chat application using natural language.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. The following diagram illustrates the architecture of the application.

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AWS Machine Learning - AI

FEBRUARY 11, 2025

Additionally, we use various AWS services, including AWS Amplify for hosting the front end, AWS Lambda functions for handling request logic, Amazon Cognito for user authentication, and AWS Identity and Access Management (IAM) for controlling access to the agent. The function uses a geocoding service or database to perform this lookup.

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Dzone - DevOps

MARCH 17, 2023

Fargate vs. Lambda has recently been a trending topic in the serverless space. Fargate and Lambda are two popular serverless computing options available within the AWS ecosystem. This blog aims to take a deeper look into the Fargate vs. This blog aims to take a deeper look into the Fargate vs. Lambda battle.

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Stackery

JUNE 5, 2025

I'm here to help break down the most important news related to modern application architecture. The purest form of managed services for compute is AWS Lambda. While the runtime model of Lambda is exceptionally powerful, the tooling for creating Lambda packages had some issues. Jassy Containers (small).jpg]([link]

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Xebia

OCTOBER 25, 2024

This allows you to use a Lambda function to use business logic to decide whether the call can be performed. Based on those questions, you might pivot your solution’s architecture. To prevent this from happening, you could use mTLS. The downside in my case is that that has an impact on the battery life.

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AWS Machine Learning - AI

NOVEMBER 18, 2024

The Step Functions state machine invokes AWS Lambda functions to get a findings summary and remediation steps through Amazon Bedrock. The workflow invokes a Lambda function and passes the GuardDuty findings details. The Lambda function calls Anthropic’s Claude 3 Sonnet model through Amazon Bedrock APIs with the input request.

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AWS Machine Learning - AI

NOVEMBER 21, 2024

The following diagram illustrates the solution architecture. Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow. The pre-annotation Lambda function can process the input manifest file before data is presented to annotators, enabling any necessary formatting or modifications.

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AWS Machine Learning - AI

APRIL 1, 2025

Using a client-server architecture, MCP enables developers to expose their data through lightweight MCP servers while building AI applications as MCP clients that connect to these servers. In the first flow, a Lambda-based action is taken, and in the second, the agent uses an MCP server.

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AWS Machine Learning - AI

JANUARY 9, 2025

Technical solution architecture The solution primarily uses Amazon Bedrock Agents (to orchestrate the multi-step process), Amazon Textract (to extract data from the PAN and Aadhar cards), and Amazon Comprehend (to identify the entities from the PAN and Aadhar card). The solution architecture is shown in the following figure.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

The following diagram illustrates an example solution architecture using AWS services. An AWS Lambda function is invoked when new documents are added to the Amazon Simple Storage Service (Amazon S3) bucket. An AWS Lambda function is invoked when new documents are added to the Amazon Simple Storage Service (Amazon S3) bucket.

Generative AI 113

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AWS Machine Learning - AI

JUNE 18, 2025

Unlike previous automation attempts that struggled with the creative and contextual aspects of threat analysis, generative AI overcomes these limitations through its ability to understand complex system relationships, reason about novel attack vectors, and adapt to unique architectural patterns.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

The architecture in the preceding figure illustrates two methods for dynamically retrieving inference profile ARNs based on tags. Lambda-based Method: This approach uses AWS Lambda as an intermediary between the calling client and the ResourceGroups API.

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Dzone - DevOps

JUNE 21, 2023

Microservices architecture is becoming increasingly popular as it enables organizations to build complex, scalable applications by breaking them down into smaller, independent services. The secondary container or process is referred to as the sidecar container or sidecar process.

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