AWS Machine Learning - AI

MARCH 20, 2025

Using Amazon Bedrock allows for iteration of the solution using knowledge bases for simple storage and access of call transcripts as well as guardrails for building responsible AI applications. This step is shown by business analysts interacting with QuickSight in the storage and visualization step through natural language.

Generative AI 92

Generative AI Artificial Inteligence Metrics AWS 92

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.

Generative AI 106

Generative AI Applications Technical Review Software Review 106

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.

Artificial Inteligence 137

Artificial Inteligence Lambda Knowledge Base IoT 137

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.

Artificial Inteligence 111

Artificial Inteligence Generative AI Travel AWS 111

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.

Technical Review 126

Technical Review Software Review Systems Review Generative AI 126

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. Lambda will horizontally scale precisely when we need it to a massive extent.

Lambda 52

Lambda Software Review AWS Serverless 52

AWS Machine Learning - AI

MARCH 7, 2025

Solution overview The policy documents reside in Amazon Simple Storage Service (Amazon S3) storage. 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.

Generative AI 101

Generative AI Technical Review Insurance Policies 101

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.

Generative AI 123

Generative AI Artificial Inteligence Data AWS 123

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.

Software Review 111

Software Review Metrics Systems Review Hardware 111

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

DevOps Enterprise Artificial Inteligence Generative AI 121

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. Amazons operating margin in 2023 was 6.4%.

Generative AI 76

Generative AI Systems Review Artificial Inteligence Software Review 76

AWS Machine Learning - AI

AUGUST 26, 2024

You can integrate existing data from AWS data lakes, Amazon Simple Storage Service (Amazon S3) buckets, or Amazon Relational Database Service (Amazon RDS) instances with services such as Amazon Bedrock and Amazon Q. As new models become available on Amazon Bedrock, we have a structured evaluation process in place.

Generative AI 128

Generative AI AWS Artificial Inteligence Technical Review 128

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.

Artificial Inteligence 126

Artificial Inteligence Generative AI Knowledge Base Lambda 126

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. Lambda will horizontally scale precisely when we need it to a massive extent.

Lambda 40

Lambda Software Review AWS Serverless 40

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.

Artificial Inteligence 134

Artificial Inteligence Lambda AWS Machine Learning 134

AWS Machine Learning - AI

AUGUST 26, 2024

An Amazon Cognito identity pool grants temporary access to the Amazon Simple Storage Service (Amazon S3) bucket. 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.

Generative AI 121

Generative AI AWS 3D Video 121

AWS Machine Learning - AI

MAY 7, 2024

The workflow consists of the following steps: The user uploads the meeting recording as an audio or video file to the project’s Amazon Simple Storage Service (Amazon S3) bucket, in the /recordings folder. Transcripts are then stored in the project’s S3 bucket under /transcriptions/TranscribeOutput/. AWS CDK version 2.0

Artificial Inteligence 132

Artificial Inteligence Meeting AWS Generative AI 132

Honeycomb

MAY 23, 2022

We’ve previously shared our experience moving Kafka over to Arm instances once AWS offered Graviton2 instance types with on-instance storage (Is4gen and Im4gn), and the wins we saw there ( with help from Amazon ). We’re also very heavy users of AWS Lambda for our storage engine. Finishing the migration.

AWS 88

AWS Lambda Architecture Testing 88

Linux Academy

MAY 2, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 84

AWS Linux Storage Lambda 84

Honeycomb

JUNE 30, 2022

Because of Honeycomb’s unique pricing model where the only variable that impacts your renewal is event consumption, you don’t need to worry about the myriad of factors that impact your costs in traditional APM tools (eg: memory, hosts, Lambda invocations, devices, headcounts, or SKUs). Consolidate logging, tracing, and metrics ingest costs.

How To 98

How To Metrics Lambda Analysis 98

Linux Academy

DECEMBER 5, 2019

For storage-intensive workloads, AWS Customers will have an opportunity to use smaller instance sizes and still meet EBS-optimized instance performance requirements, thereby saving costs. Athena executes federated queries using Athena Data Source Connectors that run on AWS Lambda.

AWS 19

AWS Artificial Inteligence Machine Learning Linux 19

AWS Machine Learning - AI

JULY 30, 2024

An AWS Lambda function fetches the YouTube videos from the playlist as audio (mp3 files) into the YTMediaBucket and also creates a metadata file in the MetadataFolderPrefix location with metadata for the YouTube video. Solution overview Mediasearch Q Business is straightforward to install and try out.

Media 115

Media Lambda AWS Video 115

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.

Generative AI 129

Generative AI Artificial Inteligence AWS Government 129

AWS Machine Learning - AI

MARCH 19, 2024

An IAM BedrockBatchInferenceRole role for batch inference with Amazon Bedrock with Amazon Simple Storage Service (Amazon S3) access and sts:AssumeRole trust policies. The resulting Amazon S3 events trigger a Lambda function that inserts a message to an SQS queue. Lambda function B. Access to models hosted on Amazon Bedrock.

Performance 134

Performance Lambda Technical Review AWS 134

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.

Metrics 88

Metrics Government Lambda Systems Administration 88

Perficient

JANUARY 6, 2023

Identity Provider Lambda Policy: This is a policy that allows our Identity Provider serverless function to create users that will be able to access our contact center. This policy allows for the invocation of async and synchronous Lambda functions from all resources in AWS as well as creating logs in CloudWatch logs.

Lambda 69

Lambda AWS Policies Serverless 69

AWS Machine Learning - AI

SEPTEMBER 25, 2024

The Streamlit application, which designed to facilitate user interaction, takes these uploaded documents and stores them in an Amazon Simple Storage Service (Amazon S3) bucket. The upload event invokes a Lambda function. For testing, we can use Amazon earnings for the last 16 quarters.

Knowledge Base 119

Knowledge Base Artificial Inteligence Analysis AWS 119

Gorilla Logic

SEPTEMBER 16, 2021

The three cloud providers we will be comparing are: AWS Lambda. AWS Lambda. Pricing: AWS Lambda (Lambda) implements a pay-per-request pricing model: Meter. . This allows expenses to be easily tracked and monitored so that your Lambda-specific budget can be kept under control. . Azure Functions. Google Cloud.

Serverless 70

Serverless Lambda Cloud AWS 70

CloudGeometry

FEBRUARY 7, 2022

Additional Isolation Options – Supplementary isolation approaches focused on compute and data Storage considerations. Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics. This allows shared services such as logging, object storage, user onboarding, etc.,

Architecture 130

Architecture Policies Resources Construction 130

Perficient

AUGUST 8, 2024

Amazon CloudWatch metrics dashboard : To verify the test logs, you need to log in to Amazon CloudWatch. Amazon ECS console : It is useful for monitoring test results and failures via containers. Please refer to the information below. In the ECS console user can verify all the running test scenarios in containers.

AWS 52

AWS Performance Applications Analysis 52

AWS Machine Learning - AI

DECEMBER 22, 2023

Although new components have worked their way into the compute layer (fine-tuning, prompt engineering, model APIs) and storage layer (vector databases), the need for observability remains. In production, these logs and evaluation metrics can be processed at scale with TruEra production monitoring. on(Select.Record.calls[0].args.args[0]).on_output()

Artificial Inteligence 119

Artificial Inteligence Training Off-The-Shelf Metrics 119

Honeycomb

JUNE 1, 2023

In a simple deployment, an application will emit spans, metrics, and logs which will be sent to api.honeycomb.io This also adds the blue lines, which denote metrics data. The metrics are periodically emitted from applications that don’t contribute to traces, such as a database. and show up in charts.

Load Balancer 111

Load Balancer Metrics Network Cloud 111

Perficient

MARCH 13, 2023

We like the seamless integration with native hyperscaler services like storage and node pools for easy autoscaling, zone awareness for HA, networking and RBAC security with IAM or AAD. A less-know feature is the ability to leverage Cluster Monitoring to collect your own application metrics. solutions which are more barebones.

Serverless 83

Serverless Azure Metrics AWS 83

Linux Academy

NOVEMBER 6, 2019

Enable Archiving with Azure Blob Storage. Trigger an AWS Lambda Function from an S3 Event. Enabling OpenShift metrics and logging on Azure . Setting Up Lambda Functions with S3 Event Triggers. Testing and Debugging Lambda Functions. Storage and Content Delivery. Configure Azure SQL Database User Access.

Google Cloud 16

Google Cloud Linux Azure AWS 16

Confluent

JULY 10, 2019

applicationName = 'wordcount-lambda-example'. // Default artifact naming. applicationName = 'wordcount-lambda-example'. // mavenLocal publish publishing { publications { streams(MavenPublication) { artifact distZip } } repositories { mavenLocal() } } // Default artifact naming. zip ==> /wordcount-lambda-example-1.0.0/bin/wordcount-lambda-example

Lambda 89

Lambda Analytics Testing Groups 89

Netflix Tech

JULY 30, 2019

Below is a snapshot of our Kibana dashboard which shows the workflow execution metrics over a typical 7-day period. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore. As such, Conductor 2.x

Lambda 76

Lambda Weak Development Team Systems Review Metrics 76

Xicom

MARCH 16, 2021

Taking AWS, as an example, you can create a serverless monolith by using a single AWS Lambda function for the back-end. What type of metric will you track? Where will you send these metrics? What kind of metric tooling will you opt for? GIve Sufficient Time For Lambda and API Gateways Configuration.

Serverless 59

Serverless Lambda Development Microservices 59