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.

Knowledge Base 102

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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. Refer to the GitHub repository for deployment instructions.

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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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Xebia

OCTOBER 23, 2024

Architecture Overview The accompanying diagram visually represents our infrastructure’s architecture, highlighting the relationships between key components. ClouDNS Documentation : Refer to the official ClouDNS documentation for detailed insights into their DNS hosting services and configurations.

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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.

Virtualization 84

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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.

Video 102

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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

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. For a detailed breakdown of the features and implementation specifics, refer to the comprehensive documentation in the GitHub repository. versions, catering to different programming preferences.

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AWS Machine Learning - AI

OCTOBER 11, 2024

Event-driven operations management Operational events refer to occurrences within your organization’s cloud environment that might impact the performance, resilience, security, or cost of your workloads. The following diagram illustrates the solution architecture. The full code repository is available in the accompanying GitHub repo.

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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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Stackery

FEBRUARY 19, 2020

Too often serverless is equated with just AWS Lambda. Yes, it’s true: Amazon Web Services (AWS) helped to pioneer what is commonly referred to as serverless today with AWS Lambda, which was first announced back in 2015. Lambda is just one component of a modern serverless stack.

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AWS Machine Learning - AI

MAY 2, 2025

This architecture demonstrates the significant advantages of deploying multiple specialized agents, each designed to handle distinct aspects of complex tasks such as financial analysis. Furthermore, the systems modular architecture facilitates seamless maintenance, updates, and scalability.

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AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary.

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AWS Machine Learning - AI

FEBRUARY 25, 2025

Solution overview Before we dive into the deployment process, lets walk through the key steps of the architecture as illustrated in the following figure. This function invokes another Lambda function (see the following Lambda function code ) which retrieves the latest error message from the specified Terraform Cloud workspace.

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AWS Machine Learning - AI

APRIL 23, 2025

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. The following diagram illustrates the solution architecture. Click here to open the AWS console and follow along.

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AWS Machine Learning - AI

APRIL 22, 2025

Seamless live stream acquisition The solution begins with an IP-enabled camera capturing the live event feed, as shown in the following section of the architecture diagram. A serverless, event-driven workflow using Amazon EventBridge and AWS Lambda automates the post-event processing.

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AWS Machine Learning - AI

FEBRUARY 9, 2024

API gateways can provide loose coupling between model consumers and the model endpoint service, and flexibility to adapt to changing model, architectures, and invocation methods. In this post, we show you how to build an internal SaaS layer to access foundation models with Amazon Bedrock in a multi-tenant (team) architecture.

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AWS Machine Learning - AI

MAY 30, 2024

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. A Lambda function with business logic invokes the primary Lambda function.

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AWS Machine Learning - AI

APRIL 18, 2024

With Amazon Bedrock, teams can input high-level architectural descriptions and use generative AI to generate a baseline configuration of Terraform scripts. AWS Landing Zone architecture in the context of cloud migration AWS Landing Zone can help you set up a secure, multi-account AWS environment based on AWS best practices.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

The following diagram illustrates the solution architecture. Amazon SQS enables a fault-tolerant decoupled architecture. The WebSocket triggers an AWS Lambda function, which creates a record in Amazon DynamoDB. Another Lambda function gets triggered with a new message in the SQS queue.

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AWS Machine Learning - AI

MARCH 15, 2024

In this post, we show you how to build a speech-capable order processing agent using Amazon Lex, Amazon Bedrock, and AWS Lambda. Solution overview The following diagram illustrates our solution architecture. This can be done with a Lambda layer or by using a specific AMI with the required libraries. awscli>=1.29.57

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AWS Machine Learning - AI

AUGUST 21, 2024

The following reference architecture illustrates what an automated review analysis solution could look like. The architecture carries out the following steps: Customer reviews can be imported into an Amazon Simple Storage Service (Amazon S3) bucket as JSON objects. Review Lambda quotas and function timeout to create batches.

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AWS Machine Learning - AI

SEPTEMBER 18, 2024

Integrating it with the range of AWS serverless computing, networking, and content delivery services like AWS Lambda , Amazon API Gateway , and AWS Amplify facilitates the creation of an interactive tool to generate dynamic, responsive, and adaptive logos. Solution overview The following diagram illustrates the solution architecture.

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AWS Machine Learning - AI

MAY 17, 2024

The application uses event-driven architecture (EDA), a powerful software design pattern that you can use to build decoupled systems by communicating through events. The second task then asks the LLM to compare the generated response to the reference response using the rules and generate an evaluation score.

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AWS Machine Learning - AI

JULY 3, 2024

Image 1: High-level overview of the AI-assistant and its different components Architecture The overall architecture and the main steps in the content creation process are illustrated in Image 2. Amazon Lambda : to run the backend code, which encompasses the generative logic.

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AWS Machine Learning - AI

MARCH 20, 2025

Moreover, Amazon Bedrock offers integration with other AWS services like Amazon SageMaker , which streamlines the deployment process, and its scalable architecture makes sure the solution can adapt to increasing call volumes effortlessly. This is powered by the web app portion of the architecture diagram (provided in the next section).

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AWS Machine Learning - AI

MARCH 7, 2024

The following diagram provides a simplified view of the solution architecture and highlights the key elements. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow. The Step Functions workflow invokes a Lambda function to generate a status report. height – The height of the image in pixels.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

The popular architecture pattern of Retrieval Augmented Generation (RAG) is often used to augment user query context and responses. Internally, Amazon Bedrock uses embeddings stored in a vector database to augment user query context at runtime and enable a managed RAG architecture solution. For more information, refer to Model access.

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Mike Roberts

NOVEMBER 16, 2017

Scaling and State This is Part 9 of Learning Lambda, a tutorial series about engineering using AWS Lambda. So far in this series we’ve only been talking about processing a small number of events with Lambda, one after the other. Finally I mention Lambda’s limited, but not trivial, vertical scaling capability.

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AWS Machine Learning - AI

AUGUST 26, 2024

In this post, we dive into the architecture and implementation details of GenASL, which uses AWS generative AI capabilities to create human-like ASL avatar videos. The following diagram shows a high-level overview of the architecture. For instructions, refer to Install the AWS SAM CLI. Amplify CLI – Install the Amplify CLI.

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AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. However, building and deploying trustworthy AI assistants requires a robust ground truth and evaluation framework.

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Xebia

SEPTEMBER 24, 2024

Below architecture explains how we can monitor these services Event Flow : I have created EventRule that gets triggered as soon as if any one of the Security services get deactivated/disabled/deleted. Event rule target is Lambda function, that extract details from corresponding event. This will help us in investigation.

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Sunflower Lab

APRIL 12, 2018

Benefits of microservices architecture and business value it delivers to organizations planning to embrace enterprise agility through automated processes. The microservice architecture helps to reduce development complexity. There are several other benefits of using microservices architecture. Architecture is goal-oriented.

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AWS Machine Learning - AI

APRIL 30, 2025

Similarly, when an incident occurs in IT, the responding team must provide a precise, documented history for future reference and troubleshooting. The following diagram illustrates the architecture using AWS services. Data sanitization workflow kicks off using AWS Step Functions consisting of AWS Lambda functions.

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AWS Machine Learning - AI

SEPTEMBER 6, 2024

Understanding the intrinsic value of data network effects, Vidmob constructed a product and operational system architecture designed to be the industry’s most comprehensive RLHF solution for marketing creatives. Solution overview The AWS team worked with Vidmob to build a serverless architecture for handling incoming questions from customers.

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Honeycomb

MARCH 5, 2024

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 OTel and Honeycomb environment variables to your template configuration for your Lambda.

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AWS Machine Learning - AI

DECEMBER 22, 2023

Solution architecture The following diagram illustrates the solution architecture. Diagram 1: Solution Architecture Overview The agent’s response workflow includes the following steps: Users perform natural language dialog with the agent through their choice of web, SMS, or voice channels.

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