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). AWS Lambda, Honeycomb, and OpenTelemetry all provide thorough documentation.

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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.

Knowledge Base 110

Knowledge Base Artificial Inteligence Applications Lambda 110

AWS Machine Learning - AI

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In this post, we set up the custom solution for observability and evaluation of Amazon Bedrock applications.

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AWS Machine Learning - AI

OCTOBER 14, 2024

Amazon Bedrock Agents enable generative AI applications to perform multistep tasks across various company systems and data sources. Customers can build innovative generative AI applications using Amazon Bedrock Agents’ capabilities to intelligently orchestrate their application workflows.

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AWS Machine Learning - AI

MAY 14, 2024

An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF). The interplay between Generative AI and human input paves the way for more accurate and responsible applications. We used this feedback to finetune the model deployed on Amazon Bedrock to power the chat-bot.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

This managed service simplifies deployment and scaling, allowing developers to focus on building RAG applications without worrying about infrastructure management. Solution overview The solution presented in this post responds automatically to email inquiries using the following solution architecture. Anthropic’s Claude Sonnet 3.5

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AWS Machine Learning - AI

OCTOBER 21, 2024

Amazon Bedrock Agents help you accelerate generative AI application development by orchestrating multistep tasks. In this second part, we dive into the architectural considerations and development lifecycle practices that can help you build robust, scalable, and secure intelligent agents.

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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

SEPTEMBER 20, 2024

Amazon Bedrock Agents offers developers the ability to build and configure autonomous agents in their applications. These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations.

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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. Users or applications submit a prompt as an API request. The prompt and parameters are passed to Amazon Bedrock using an inference API called by the Lambda function.

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Dzone - DevOps

JANUARY 16, 2024

Serverless architecture is a way of building and running applications without the need to manage infrastructure. AWS offers various serverless services, with AWS Lambda being one of the most prominent. There's no idle capacity because billing is based on the actual amount of resources consumed by an application.

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AWS Machine Learning - AI

SEPTEMBER 17, 2024

Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didn’t have during training. The post is co-written with Michael Shaul and Sasha Korman from NetApp.

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Dzone - DevOps

SEPTEMBER 28, 2023

With the advent of serverless architectures and container services, the technology landscape has transformed dramatically. Two such services that have gained significant popularity are AWS Lambda and Fargate. AWS (Amazon Web Services) has been a major player in this transformation with their extensive suite of cloud services.

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Perficient

AUGUST 8, 2024

Distributed Load Testing on AWS helps you automate the testing of your software applications at scale and at load to identify bottlenecks before you release your application. For more info, please refer to AWS documentation: [link] Fig: Distributed Load Testing on AWS architecture Learn more about DLT and AWS architecture.

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AWS Machine Learning - AI

OCTOBER 24, 2024

In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant. Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multistep tasks. This offers tremendous use case flexibility, enables dynamic workflows, and reduces development cost.

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AWS Machine Learning - AI

JULY 11, 2024

This solution shows how Amazon Bedrock agents can be configured to accept cloud architecture diagrams, automatically analyze them, and generate Terraform or AWS CloudFormation templates. Solution overview Before we explore the deployment process, let’s walk through the key steps of the architecture as illustrated in Figure 1.

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Software Review Infrastructure Lambda Generative AI 123

Dzone - DevOps

OCTOBER 6, 2023

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

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Xebia

MAY 2, 2023

The question quite simple: How can we manage K8s infrastructure and applications using one codebase and high level programming languages? In the coming paragraphs we will identify how we can write Infrastructure as Code (IaC) as well as the K8s workload definition for an application that will be deployed on AWS. InstanceType('t3.large')]

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Blue Sentry

OCTOBER 4, 2023

AWS Event-Driven Architecture Overview Hi, I’m Todd Bernson – CTO at Blue Sentry Cloud and an AWS Ambassador with 12 AWS certifications. In this installment, I’ll be breaking down another common Cloud-native application architecture. AWS provides serverless compute in the form of AWS Lambda.

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AWS Machine Learning - AI

OCTOBER 29, 2024

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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Scalability Lambda Generative AI AWS 111

Toptal

FEBRUARY 25, 2016

AWS Lambda offers a relatively thin service with a rich set of ancillary configuration options, making it possible to implement easily scalable and maintainable applications leveraging these services.

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Lambda AWS Architecture Scalability 91

AWS Machine Learning - AI

OCTOBER 4, 2024

In the generative AI era, agents that simulate human actions and behaviors are emerging as a powerful tool for enterprises to create production-ready applications. The fashion assistant agent can be smoothly integrated into existing ecommerce platforms or mobile applications, providing customers with a seamless and delightful experience.

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Fashion Generative AI Applications AWS 98

AWS Machine Learning - AI

NOVEMBER 19, 2024

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The following diagram provides a detailed view of the architecture to enhance email support using generative AI.

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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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Lambda Generative AI AWS Resources 123

CircleCI

NOVEMBER 7, 2022

This tutorial covers: Using the Jest framework to set up unit testing for a serverless application. that simplifies the development and deployment of AWS Lambda functions. It frees you from worrying about how to package and deploy the application to the cloud, so you can focus on your application logic. Lambda function.

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AWS Machine Learning - AI

AUGUST 13, 2024

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and quickly integrate and deploy them into your applications using the AWS tools without having to manage the infrastructure. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

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Xebia

MAY 21, 2024

Cloud modernization has become a prominent topic for organizations, and AWS plays a crucial role in helping them modernize their IT infrastructure, applications, and services. Migration: Many companies start their cloud modernization journey by migrating existing applications and workloads to the cloud.

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AWS Strategy Serverless Microservices 130

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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AWS Machine Learning - AI

FEBRUARY 6, 2024

A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications, amendments, supplements, and reports to the FDA. The following diagram illustrates the solution architecture. The response data is stored in DynamoDB.

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Generative AI AWS Lambda Technical Review 119

AWS Machine Learning - AI

MARCH 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

Generative AI applications can analyze financial data and identify trends and patterns while forecasting future financial performance, all without manual intervention from an analyst. In this post, we demonstrate how to deploy a generative AI application that can accelerate your financial statement analysis on AWS.

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AWS Machine Learning - AI

MAY 30, 2024

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. The following figure illustrates the core architecture for the NLQ capability.

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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.

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RapidValue

OCTOBER 12, 2020

In an effort to avoid the pitfalls that come with monolithic applications, Microservices aim to break your architecture into loosely-coupled components (or, services) that are easier to update independently, improve, scale and manage. Key Features of Microservices Architecture. Microservices Architecture on AWS.

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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

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Tenant This part represents the tenants using the AI gateway capabilities.

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AWS Machine Learning - AI

OCTOBER 15, 2024

Conducting assessments on application portfolios that need to be migrated to the cloud can be a lengthy endeavor. Despite the existence of AWS Application Discovery Service or the presence of some form of configuration management database (CMDB), customers still face many challenges.

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