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. The CloudFormation template provisions resources such as Amazon Data Firehose delivery streams, AWS Lambda functions, Amazon S3 buckets, and AWS Glue crawlers and databases.

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TechCrunch

NOVEMBER 2, 2021

The company started with a focus on distributed tracing for serverless platforms like AWS’ API Gateway, DynamoDB, S3 and Lambda. It offers both a paid SaaS service (which includes a free tier ), as well as a free command line tool for analyzing and tuning services based on AWS Lambda and Kinesis. Image Credits: Lumigo.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

Metrics can be graphed by application inference profile, and teams can set alarms based on thresholds for tagged resources. Lambda-based Method: This approach uses AWS Lambda as an intermediary between the calling client and the ResourceGroups API.

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Generative AI AWS Artificial Inteligence Budget 142

Xebia

JANUARY 8, 2020

When using AWS Lambda functions you typically want to return a response to the client ASAP. write some metrics). Since standard AWS Lambda functions do not allow you to […]. The post How to reduce AWS Lambda latency using custom runtimes appeared first on Xebia Blog.

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AWS Machine Learning - AI

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. AWS Lambda is an event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers.

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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. Model monitoring – The model monitoring service allows tenants to evaluate model performance against predefined metrics. 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

FEBRUARY 26, 2024

In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda. Overview of solution The first thing to consider is that different metrics require different computation considerations. The function invokes the modules.

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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. This includes setting up Amazon API Gateway , AWS Lambda functions, and Amazon Athena to enable querying the structured sales data.

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Generative AI Applications Technical Review Software Review 106

LaunchDarkly

JUNE 5, 2019

The solution that we devised emerged after the Amazon Web Services (AWS) launched Lambda@Edge in mid-2017. We had already been using the powerful Lambda platform for certain infrastructure tasks and heavy lifting in AWS. Lambda@Edge NodeJS goodness. In our initial testing, Lambda@Edge performed well, within a Region.

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Lambda AWS Software Engineering Engineering 72

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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The Agile Monkey

JULY 4, 2019

Have you ever wondered whether your AWS Lambda could be faster if you used a different runtime? AWS Lambda allows us to execute code in the cloud without needing to provision anything. As an addition to all the available runtimes in AWS Lambda, AWS announced Custom Runtimes at Re:Invent 2018. Rust, Node.js 8.10, C# (.NET

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Honeycomb

OCTOBER 20, 2020

Nic Wise at Tend Health recently wrote a series of blog posts exploring how they moved away from logs and metrics, toward adopting observability with Honeycomb. In that series, he shares lessons learned as they got their NodeJS app instrumented in an AWS environment making use of CloudFront, API Gateway, Lambda, and a few other services.

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AWS Machine Learning - AI

MARCH 20, 2025

The human-in-the-loop UI plus Ragas metrics proved effective to evaluate outputs of FMs used throughout the pipeline. Its flexibility in various FMs allowed the testing of many types of models to generate evaluation metrics, including Anthropics Claude Sonnet 3.5 In addition, traditional ML metrics were used for Yes/No answers.

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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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Artificial Inteligence Lambda Knowledge Base IoT 137

The Agile Monkey

JULY 15, 2019

We continue benchmarking AWS Lambda… In Part I of this blog we tested the performance of a Hello World example for 8 different runtimes and got us some very interesting metrics. Once again, we used AWS CloudWatch to extract all the metrics we were interested in. However, we didn’t stop there. 8.10, Java 8, C# (.NET

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Lambda AWS Software Review Serverless 66

TechCrunch

JUNE 29, 2021

Forum’s technology employs “advanced” algorithms and over 60 million data points to populate brand information into a central platform in real time, instantly scoring brands and generating accurate financial metrics. The M&A team also uses data to contact brand owners “in just three clicks.”

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TechCrunch

APRIL 15, 2021

Bigeye offers on prem and SaaS solutions, and while it’s working with paying customers like Instacart, Crux Informatics, and Lambda School, the product won’t be generally available until later in the year. Toro snags $4M seed investment to monitor data quality.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

If an image is uploaded, it is stored in Amazon Simple Storage Service (Amazon S3) , and a custom AWS Lambda function will use a machine learning model deployed on Amazon SageMaker to analyze the image to extract a list of place names and the similarity score of each place name.

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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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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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Honeycomb

MARCH 26, 2025

CloudWatch metrics can be a very useful source of information for a number of AWS services that dont produce telemetry as well as instrumented code. There are also a number of useful metrics for non-web-request based functions, like metrics on concurrent database requests. New to Honeycomb? Get your free account today!

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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. Review Lambda quotas and function timeout to create batches.

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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

SEPTEMBER 6, 2024

They used the following services in the solution: Amazon Bedrock Amazon DynamoDB AWS Lambda Amazon Simple Storage Service (Amazon S3) The following diagram illustrates the high-level workflow of the current solution: The workflow consists of the following steps: The user navigates to Vidmob and asks a creative-related query.

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Honeycomb

FEBRUARY 22, 2022

A long time ago, in a galaxy far, far away, I said a lot of inflammatory things about metrics. Metrics are s**t salad.”. Metrics are simply nerfed dimensions.”. Metrics suck ,” “metrics are legacy ,” “metrics and time series aggregates will f **g kneecap you.”. Metrics aren’t worthless; they’re just limited.

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AWS Machine Learning - AI

MARCH 5, 2025

With deterministic evaluation processes such as the Factual Knowledge and QA Accuracy metrics of FMEval , ground truth generation and evaluation metric implementation are tightly coupled. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

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Trigent

JUNE 28, 2021

Here, the AWS Services used are AWS Cloudwatch, SNS, and Lambda. Instead, you will have to create a simple Lambda function which calls the Bot API and forwards the notifications to a Telegram chat. Here in our case, the Telegram bot will be operated by a Lambda function which sends a notification to Telegram chat on behalf of the bot.

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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 121

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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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Honeycomb

NOVEMBER 10, 2021

Terraform deleted one of our Lambda deploy artifacts for no known reason. The back-pressure caused ingestion delays and crashed production Kafka metrics reporters, making it look like a production outage to our redundant alerting systems. We are moving services to containers running in EKS. Beagle processing delays.

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AWS Machine Learning - AI

AUGUST 15, 2024

The Content Designer AWS Lambda function saves the input in Amazon OpenSearch Service in a questions bank index. Amazon Lex forwards requests to the Bot Fulfillment Lambda function. Users can also send requests to this Lambda function through Amazon Alexa devices.

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TechCrunch

MARCH 30, 2022

GrowthBook says it solves this by using a company’s existing data infrastructure and business metrics. Instead of using SQL, Eventual’s query interface is a Lambda function that can be written in the programming language of your choice. After Education.com ’s exit in 2019, the two of them began working on GrowthBook.

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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.

Generative AI 106

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AWS Machine Learning - AI

MARCH 7, 2025

This action invokes an AWS Lambda function to retrieve the document embeddings from the OpenSearch Service database and present them to Anthropics Claude 3 Sonnet FM, which is accessed through Amazon Bedrock. In the future, Verisk intends to use the Amazon Titan Embeddings V2 model.

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Generative AI Technical Review Insurance Policies 101

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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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

API Gateway instantiates an AWS Step Functions The state machine orchestrates the AI/ML services Amazon Transcribe and Amazon Bedrock and the NoSQL data store Amazon DynamoDB using AWS Lambda functions. We can call the Amazon Bedrock API directly from the Step Functions workflow to save on Lambda compute cost.

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