AWS Machine Learning - AI

DECEMBER 4, 2024

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

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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

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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LaunchDarkly

JUNE 5, 2019

Not only did TrueCar need to move their domain DNS entries, they also needed to revamp their entire architecture, software, and operational practices. To complicate issues, the legacy codebase and architecture had to remain in place while TrueCar built out a new platform for the transition. Lambda@Edge NodeJS goodness.

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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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Artificial Inteligence Generative AI Travel AWS 110

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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AWS Machine Learning - AI

APRIL 24, 2024

Additionally, you can access device historical data or device metrics. The device metrics are stored in an Athena DB named "iot_ops_glue_db" in a table named "iot_device_metrics". 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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AWS Machine Learning - AI

MARCH 7, 2025

In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline. The following diagram illustrates the solution architecture. You can create a decoupled architecture with reusable components.

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AWS Machine Learning - AI

AUGUST 21, 2024

Visualization – Generate business intelligence (BI) dashboards that display key metrics and graphs. These metrics can be tracked over time, allowing for continuous monitoring and performance to maintain or improve the customer experience. The function then invokes an FM of choice on Amazon Bedrock.

Technical Review 126

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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.

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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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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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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. Generative AI question-answering applications are pushing the boundaries of enterprise productivity.

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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

APRIL 11, 2024

Vector databases efficiently index and organize the embeddings, enabling fast retrieval of similar vectors based on distance metrics like Euclidean distance or cosine similarity. An Amazon S3 object notification event invokes the embedding AWS Lambda function. Vector databases – Vector databases are used to store embeddings.

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AWS Machine Learning - AI

AUGUST 26, 2024

Through this series of posts, we share our generative AI journey and use cases, detailing the architecture, AWS services used, lessons learned, and the impact of these solutions on our teams and customers. In this first post, we explore Account Summaries, one of our initial production use cases built on Amazon Bedrock.

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AWS Machine Learning - AI

MARCH 27, 2024

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. The zAdviser uses Amazon Bedrock to provide summarization, analysis, and recommendations for improvement based on the DORA metrics data. It’s also vital to avoid focusing on irrelevant metrics or excessively tracking data.

DevOps 118

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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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CircleCI

SEPTEMBER 3, 2020

The simple metrics-based scaling policies that ASGs provide aren’t quite sufficient to model this. An SNS Topic to trigger the Lambda Function to implement the Lifecycle hook action. A Lambda will execute “nomad node drain -enable” command through AWS SSM on the designated node. AWS Lambda function and SSM agent document.

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Hacker Earth Developers Blog

SEPTEMBER 24, 2018

We will learn topics such as intersection over area metrics, non maximal suppression, multiple object detection, anchor boxes, etc. Intersection over Union ( IoU ) is an evaluation metric that is used to measure the accuracy of an object detection algorithm. To calculate this metric, we need: The ground truth bounding boxes (i.e.

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Honeycomb

MAY 23, 2022

The work done by software we ourselves develop was both the easiest to move – because we control the build, and so could re-compile for the Arm architecture – and the highest-impact, as it makes up the bulk of our compute spend. Instances[]' | jq -cs '.[] | {arch: Architecture, type: InstanceType, tags: (.Tags//[])|from_entries|{name:

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AWS Machine Learning - AI

AUGUST 15, 2024

Figure 1: QnABot Architecture Diagram The high-level process flow for the solution components deployed with the CloudFormation template is as follows: The admin deploys the solution into their AWS account, opens the Content Designer UI or Amazon Lex web client, and uses Amazon Cognito to authenticate.

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AWS Machine Learning - AI

MAY 7, 2024

Every time a new recording is uploaded to this folder, an AWS Lambda Transcribe function is invoked and initiates an Amazon Transcribe job that converts the meeting recording into text. This S3 event triggers the Notification Lambda function, which pushes the summary to an Amazon Simple Notification Service (Amazon SNS) topic.

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AWS Machine Learning - AI

SEPTEMBER 20, 2024

If required, the agent invokes one of two Lambda functions to perform a web search: SerpAPI for up-to-date events or Tavily AI for web research-heavy questions. The Lambda function retrieves the API secrets securely from Secrets Manager, calls the appropriate search API, and processes the results.

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Honeycomb

NOVEMBER 28, 2022

As a Honeycomb Pro or Enterprise user, you can also send metrics to Honeycomb from any AWS service that publishes metrics to CloudWatch Metrics. These integrations use a combination of serverless technologies, including AWS Kinesis Data Firehose and AWS Lambda , so that you don’t have to run extra infrastructure or agents.

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AWS Machine Learning - AI

DECEMBER 6, 2023

Then we introduce you to a more versatile architecture that overcomes these limitations. We also present a more versatile architecture that overcomes these limitations. In practice, we implemented this solution as outlined in the following detailed architecture. The search precision can also be improved with metadata filtering.

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AWS Machine Learning - AI

OCTOBER 2, 2024

You can securely integrate and deploy generative AI capabilities into your applications using services such as AWS Lambda , enabling seamless data management, monitoring, and compliance (for more details, see Monitoring and observability ). To learn more, see Log Amazon Bedrock API calls using AWS CloudTrail.

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CloudGeometry

FEBRUARY 7, 2022

Behind the curtain, selling essentially the same software to different users and companies, again and again, relies on a distinct product architecture: secure multi-tenancy. Tenant isolation is the keystone of the SaaS architecture, holding it all together and keeping it up and running. Let’s take a closer look.

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Mentormate

MAY 12, 2020

AutoScaling can be manually triggered or triggered by a metric like average CPU usage. The true power of the service is that you commit to compute resources (Amazon EC2, AWS Fargate, and AWS Lambda), and not to a specific EC2 instance type of family. Rearchitecting. Relational Databases.

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Xicom

MARCH 16, 2021

Nowadays, the cliche “serverless architecture” is the latest addition in the technology wordbook, prevailing following the launch of AWS (Amazon Web Services) Lambada in 2014. While the gospel truth is serverless, architecture proffers the promise of writing codes without any ongoing server administration apprehension.

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AWS Machine Learning - AI

JULY 30, 2024

The Mediasearch solution has an event-driven serverless computing architecture with the following steps: You provide an S3 bucket containing the audio and video files you want to index and search. For more information, see the pricing pages for Amazon Q Business , Amazon Kendra , Amazon Transcribe , Lambda , DynamoDB , and EventBridge.

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AWS Machine Learning - AI

MARCH 19, 2024

The resulting Amazon S3 events trigger a Lambda function that inserts a message to an SQS queue. Next month traffic is expected to increase by a factor of 10 and a Solutions Architect is reviewing the architecture for possible scaling problems. Lambda function B. SQS queue C. EC2 instance D. The correct answer is C. (C)

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Cloudera

MARCH 22, 2023

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. There are many logs and metrics, and they are all over the place.

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Confluent

JULY 10, 2019

If you recall from part 1, we added Kafka Streams to our architecture for some final repackaging of our messages before sending them off to the different APIs in Oracle Warehouse Management Cloud (Oracle WMS Cloud): Figure 1. applicationName = 'wordcount-lambda-example'. // Default artifact naming. Kafka Streams. version = '1.0.0'.

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Perficient

AUGUST 8, 2024

For more info, please refer to AWS documentation: [link] Fig: Distributed Load Testing on AWS architecture Learn more about DLT and AWS architecture. Amazon CloudWatch metrics dashboard : To verify the test logs, you need to log in to Amazon CloudWatch. Please refer to the information below.

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AWS Machine Learning - AI

SEPTEMBER 25, 2024

Solution overview The following diagram illustrates the high-level architecture of our solution for analyzing numerical documents. The upload event invokes a Lambda function. Using a combination of these features can enhance numerical analysis of information across multiple documents that contain data in tables.

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