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

FEBRUARY 11, 2025

Enhancing AWS Support Engineering efficiency The AWS Support Engineering team faced the daunting task of manually sifting through numerous tools, internal sources, and AWS public documentation to find solutions for customer inquiries. To handle large volumes, the data is split into smaller chunks to mitigate Lambda function overload.

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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. While both tools offer serverless computing, they differ regarding use cases, operational boundaries, runtime resource allocations, price, and performance.

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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

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

NOVEMBER 14, 2024

Architecture The following figure shows the architecture of the solution. The user’s request is sent to AWS API Gateway , which triggers a Lambda function to interact with Amazon Bedrock using Anthropic’s Claude Instant V1 FM to process the user’s request and generate a natural language response of the place location.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

By leveraging these AWS tools, teams can maintain a clear view of spending patterns, enabling more informed decision-making and maximizing the value of their generative AI initiatives while ensuring critical applications remain within budget.

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AWS Machine Learning - AI

OCTOBER 29, 2024

The CloudFormation template provisions resources such as Amazon Data Firehose delivery streams, AWS Lambda functions, Amazon S3 buckets, and AWS Glue crawlers and databases. Use AWS services such as Athena to analyze observability data, drive continual improvement, and connect with your favorite dashboard tool to visualize the data.

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AWS Machine Learning - AI

APRIL 9, 2025

For example, an AI-powered productivity tool for an ecommerce company might feature dedicated interfaces for different roles, such as content marketers and business analysts. This architecture workflow includes the following steps: A user submits a question through a web or mobile application. 70B and 8B.

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AWS Machine Learning - AI

OCTOBER 11, 2024

The assistant can filter out irrelevant events (based on your organization’s policies), recommend actions, create and manage issue tickets in integrated IT service management (ITSM) tools to track actions, and query knowledge bases for insights related to operational events. Dispatch notifications through instant messaging tools or emails.

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AWS Machine Learning - AI

NOVEMBER 21, 2024

Traditional annotation tools, with basic playback and marking capabilities, often fall short in capturing these nuanced details. Through custom human annotation workflows , organizations can equip annotators with tools for high-precision segmentation. The following diagram illustrates the solution architecture.

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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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Perficient

MARCH 27, 2025

Pulumi is a modern Infrastructure as Code (IaC) tool that allows you to define, deploy, and manage cloud infrastructure using general-purpose programming languages. The goal is to deploy a highly available, scalable, and secure architecture with: Compute: EC2 instances with Auto Scaling and an Elastic Load Balancer. MySQL, PostgreSQL).

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Tenable

FEBRUARY 13, 2024

The good news is that deploying these applications on a serverless architecture can make it easier to protect them. Cloud-native architecture has opened up new avenues for developers, bringing individual components out of monolithic server configurations and making them readily available as consumable services. Here’s why.

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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 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. Amazon Bedrock generates Terraform code from architectural descriptions. The following diagram illustrates this architecture.

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Strategic Tech

JULY 21, 2020

Most organisations go through an architecture modernisation effort at some point as their systems drift into a state of intolerable maintenance costs and they diverge too far from modern technological advances. What architecture will be optimal for enabling that business vision? How are we going to deliver the new architecture?

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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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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

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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Crunchbase News

MAY 15, 2024

Building AI infrastructure While most people like to concentrate on the newest AI tool to help generate emails or mimic their own voice, investors are looking at much of the architecture underneath generative AI that makes it work. In February, Lambda hit unicorn status after a $320 million Series C at a $1.5 billion valuation.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

The following diagram illustrates the solution architecture. The workflow consists of the following steps: A user accesses the regulatory document authoring tool from their computer browser. Amazon SQS enables a fault-tolerant decoupled architecture. Another Lambda function gets triggered with a new message in the SQS queue.

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AWS Machine Learning - AI

MARCH 13, 2025

The Lambda function spins up an Amazon Bedrock batch processing endpoint and passes the S3 file location. The second Lambda function performs the following tasks: It monitors the batch processing job on Amazon Bedrock. The security measures are inherently integrated into the AWS services employed in this architecture.

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TechCrunch

MAY 3, 2022

Edge Delta aims its tools at DevOps, site-reliability engineers and security teams — groups that focus on analyzing logs, metrics, events, traces and other large data troves, often in real time, to do their work.

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Erik Bernhardsson

NOVEMBER 30, 2021

This has been an amazing source of products, that have been battle-tested at Amazon, Google, and Microsoft scale, and it makes sense that those tools are a great match for their big enterprise customers. Somewhat subjectively and anecdotally, these tools tend to have a much higher focus on developer experience. I don't think so.

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AWS Machine Learning - AI

JULY 3, 2024

With Amazon Bedrock, you can get started quickly, privately customize FMs with your own data, and easily integrate and deploy them into your applications using AWS tools without having to manage any infrastructure. Invoke a Lambda function to send out the decline email with the generated content.

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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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Dzone - DevOps

OCTOBER 21, 2024

In this article, I will discuss building a sentiment analysis tool using AWS serverless capabilities and NLTK. I will be using AWS lambda to run sentiment analysis using the NLTK -vader library and AWS API Gateway to enable this functionality as an API.

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Altexsoft

DECEMBER 28, 2018

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. AWS Lambda.

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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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CIO

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing. billion by 2025.

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AWS Machine Learning - AI

APRIL 24, 2024

An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user. For direct device actions like start, stop, or reboot, we use the action-on-device action group, which invokes a Lambda function.

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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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Stackery

MAY 14, 2020

Building a modern microservices architecture with techniques that work for your whole team— This process uses AWS Lambda, AWS Step Functions, AWS Fargate, Amazon API Gateway, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Queue Service (Amazon SQS), and the entire serverless portfolio. Register for free here.

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AWS Machine Learning - AI

DECEMBER 22, 2023

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. The agent is equipped with tools that include an Anthropic Claude 2.1

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Stackery

AUGUST 14, 2019

This is great news for development teams excited by the prospect of building and modernizing applications using AWS Lambda, DyanmoDB, Kinesis, API Gateway, Fargate, and the rest of the growing menu of serverless capabilities. What does “Professional Serverless Tooling” really mean? Extending AWS capabilities for developer happiness.

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Xebia

SEPTEMBER 24, 2024

Before we dive into the details of AWS monitoring and detection tools, it’s important to acknowledge the role of preventive security measures like Service Control Policies (SCPs), IAM Policies, and AWS Guardrails. These tools are essential in preventing unauthorized or undesirable actions from taking place.

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