O'Reilly Media - Ideas

MAY 19, 2020

So we constructed a survey and ran it earlier this year: from January 9th through January 31st, 2020. Interestingly, multi-cloud, or the use of multiple cloud computing and storage services in a single homogeneous network architecture, had the fewest users (24% of the respondents). Serverless Stagnant.

Cloud 144

Cloud Microservices Serverless Survey 144

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. _validate_tools(tools) _output_parser = output_parser or cls._get_default_output_parser()

Artificial Inteligence 111

Artificial Inteligence Generative AI Travel AWS 111

CloudGeometry

FEBRUARY 7, 2022

Additional Isolation Options – Supplementary isolation approaches focused on compute and data Storage considerations. Isolation vs. Authentication & Authorization Isolation is a fundamental choice in a SaaS architecture because security and reliability are not a single construct. Let’s take a closer look.

Architecture 130

Architecture Policies Resources Construction 130

CloudGeometry

MARCH 3, 2022

When thinking about billing events, the challenge is to construct a set of value events that provides your customers a choice of price points. Not all SaaS platforms have the freedom to start fresh with cloud-native constructs like containers, serverless, and microservices.

Metrics 130

Metrics Architecture Cloud Strategy 130

AWS Machine Learning - AI

SEPTEMBER 18, 2024

Client profiles – We have three business clients in the construction, manufacturing, and mining industries, which are mid-to-enterprise companies. Pre-Construction Services - Feasibility Studies - Site Selection and Evaluation. Pre-Construction Services - Feasibility Studies - Site Selection and Evaluation.

Generative AI 127

Generative AI Artificial Inteligence Fractional CTO Guidelines 127

AWS Machine Learning - AI

SEPTEMBER 26, 2024

It can automatically connect to over 40 different data sources, including Amazon Simple Storage Service (Amazon S3), Microsoft SharePoint, Salesforce, Atlassian Confluence, Slack, and Jira Cloud. OpenSearch Serverless is a fully managed option that allows you to run petabyte-scale workloads without managing clusters.

Artificial Inteligence 117

Artificial Inteligence Generative AI Knowledge Base AWS 117

AWS Machine Learning - AI

AUGUST 2, 2024

We partnered with Keepler , a cloud-centered data services consulting company specialized in the design, construction, deployment, and operation of advanced public cloud analytics custom-made solutions for large organizations, in the creation of the first generative AI solution for one of our corporate teams.

Artificial Inteligence 126

Artificial Inteligence Generative AI Energy Knowledge Base 126

AWS Machine Learning - AI

MARCH 7, 2024

The workflow consists of the following steps: A user uploads multiple images into an Amazon Simple Storage Service (Amazon S3) bucket via a Streamlit web application. Constructs a request payload for the Amazon Bedrock InvokeModel API. Upon submission, the Streamlit web application updates an Amazon DynamoDB table with image details.

AWS 142

AWS Lambda Generative AI Report 142

AWS Machine Learning - AI

SEPTEMBER 25, 2024

In this post, we walk you through a step-by-step process to create a social media content generator app using vision, language, and embedding models (Anthropic’s Claude 3, Amazon Titan Image Generator, and Amazon Titan Multimodal Embeddings) through Amazon Bedrock API and Amazon OpenSearch Serverless. Go to SageMaker Studio.

Media 92

Media Social Serverless Artificial Inteligence 92

AWS Machine Learning - AI

MARCH 28, 2024

Solution overview In this post, we demonstrate the use of Mixtral-8x7B Instruct text generation combined with the BGE Large En embedding model to efficiently construct a RAG QnA system on an Amazon SageMaker notebook using the parent document retriever tool and contextual compression technique.

Artificial Inteligence 135

Artificial Inteligence Generative AI AWS Load Balancer 135

AWS Machine Learning - AI

MARCH 1, 2024

Knowledge Bases for Amazon Bedrock currently supports four vector stores: Amazon OpenSearch Serverless , Amazon Aurora PostgreSQL-Compatible Edition , Pinecone , and Redis Enterprise Cloud. As of this writing, the hybrid search feature is available for OpenSearch Serverless, with support for other vector stores coming soon.

Knowledge Base 138

Knowledge Base Artificial Inteligence AWS Generative AI 138

AWS Machine Learning - AI

JUNE 18, 2024

In the third step, you can use extracted text and data to construct meaningful enhancements for these documents. Raghavarao Sodabathina is a Principal Solutions Architect at AWS, focusing on Data Analytics, AI/ML, and Serverless Platform. In the second step, you extract information accurately from your documents.

Generative AI 121

Generative AI Artificial Inteligence AWS Technical Review 121

AWS Machine Learning - AI

OCTOBER 24, 2024

If the Northwind DB Knowledge Base search function result did not contain enough information to construct a full query try to construct a query to the best of your ability based on the Northwind database schema.

Generative AI 97

Generative AI Artificial Inteligence Applications Knowledge Base 97

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.

Generative AI 123

Generative AI Artificial Inteligence Data AWS 123

Mobilunity

MAY 2, 2025

Another example is accidentally provisioning premium instances or storage options that arent needed for your workload. Retailers, for example, often see higher traffic and thus compute and storage costs during holidays. Regular configuration reviews and automated checks can help detect and resolve these issues.

Cloud 40

Cloud Google Cloud Systems Review Budget 40

Apps Associates

JULY 28, 2022

Oracle Cloud Infrastructure Data Integration is a next generation, fully managed, multi-tenant, serverless, native cloud ETL service. Serverless execution, pay-as you go pricing model . Load the data into object storage and create high-quality models more quickly using OCI data science. Oracle Managed. License needed.

Infrastructure 52

Infrastructure Cloud Data Linux 52

AWS Machine Learning - AI

OCTOBER 22, 2024

SageMaker Pipelines is a serverless workflow orchestration service purpose-built for foundation model operations (FMOps). The Model (output) section automatically populates the default Amazon Simple Storage Service (Amazon S3) You can update the S3 URI to change the location where the model artifacts will be stored. Failed to register.

Artificial Inteligence 87

Artificial Inteligence Generative AI AWS Machine Learning 87

AWS Machine Learning - AI

APRIL 8, 2024

load_data() Build the index: The key feature of LlamaIndex is its ability to construct organized indexes over data, which is represented as documents or nodes. For more details, refer to Vector Engine for Amazon OpenSearch Serverless. The indexing facilitates efficient querying over the data.

Artificial Inteligence 121

Artificial Inteligence Applications Knowledge Base AWS 121

Mike Roberts

NOVEMBER 16, 2017

However one of the joys of Lambda, and Serverless in general, is the automatic and vast scaling capabilities it gives us. Lambda’s scaling model has a large impact on how we consider state, so I also talk about Lambda’s instantiation and threading model, followed by a discussion on Application State & Data Storage, and Caching.

Lambda 52

Lambda Software Review AWS Serverless 52

iTexico

JANUARY 16, 2020

The cloud is made of servers, software and data storage centers that are accessed over the Internet, providing many benefits that include cost reduction, scalability, data security, work force and data mobility. After all, how could a business possibly run smoothly without traditional hardware or an onsite server? About The Company.

Azure 10

Azure Cloud Virtualization Load Balancer 10

High Scalability

OCTOBER 24, 2022

So this remedy is also wrong: Rather than trying to construct rules that kept the referee honest even when they played on one of the teams, they ordered the companies to choose one role – either you were the ref, or you were a player, but you couldn't referee a match where you were also in the competition.

Cloud 75

Cloud Weak Development Team Infrastructure Hardware 75

Mike Roberts

NOVEMBER 16, 2017

However one of the joys of Lambda, and Serverless in general, is the automatic and vast scaling capabilities it gives us. Lambda’s scaling model has a large impact on how we consider state, so I also talk about Lambda’s instantiation and threading model, followed by a discussion on Application State & Data Storage, and Caching.

Lambda 40

Lambda Software Review AWS Serverless 40

iTexico

AUGUST 9, 2019

These services may include disaster recovery, the Internet of Things, serverless computing, and so on so forth. Active Directory was incorporated into the Microsoft Server product line later, enhancing Microsoft Server storage capabilities. In the case of the previous example, they’d receive incoming requests to process them.

Azure 8

Azure Cloud Disaster Recovery Virtualization 8

Confluent

FEBRUARY 13, 2019

Stream processors are used for constructing the flow from other streams in various patterns, either executing and reacting to logic or splitting, merging and maintaining materialized views, such that when they are all combined (fan in), they represent a domain model in the form of a digital nervous system. Interested in more?

Architecture 92

Architecture Programming Microservices Serverless 92

CIO

MARCH 12, 2025

In addition to flexible and quickly available computing and storage infrastructure, the cloud promises a wide range of services that make it easy to set up and operate digital business processes. However, to accommodate the ever-increasing amounts of data, the project team is integrating AWS S3 and Azure Blob Storage.

Azure 136

Azure Weak Development Team Lambda AWS 136

AWS Machine Learning - AI

NOVEMBER 20, 2024

The workflow to populate the knowledge base consists of the following steps, as noted in the architecture diagram: The user uploads company- and domain-specific information, like policy manuals, to an Amazon Simple Storage (Amazon S3) bucket. This bucket is designated as the knowledge base data source. Anthropic’s Claude Sonnet 3.5

Knowledge Base 111

Knowledge Base Lambda Artificial Inteligence AWS 111

AWS Machine Learning - AI

APRIL 24, 2025

Enterprise-scale data presents specific challenges for NL2SQL, including the following: Complex schemas optimized for storage (and not retrieval) Enterprise databases are often distributed in nature and optimized for storage and not for retrieval. The solution uses the data domain to construct prompt inputs for the generative LLM.

Artificial Inteligence 108

Artificial Inteligence Enterprise Generative AI Technical Review 108

AWS Machine Learning - AI

NOVEMBER 21, 2024

The architecture is centered around a native AWS serverless backend, which ensures minimal maintenance and high availability together with fast development. Core components of the RAG system Amazon Simple Storage Service (Amazon S3): Amazon S3 serves as the primary storage for source data.

AWS 81

AWS Lambda Generative AI Artificial Inteligence 81

AWS Machine Learning - AI

NOVEMBER 27, 2024

With the Custom Model Import feature, you can now seamlessly deploy your customized chess models fine-tuned on specific gameplay styles or historical matches, eliminating the need to manage infrastructure while enabling serverless, on-demand inference. model_id – This is the SageMaker JumpStart model ID for the LLM that you need to fine-tune.

Artificial Inteligence 125

Artificial Inteligence IoT AWS Generative AI 125

AWS Machine Learning - AI

MARCH 11, 2025

The picture taken by the user is stored in an Amazon Simple Storage Service (Amazon S3) This S3 bucket should be configured with a lifecycle policy that deletes the image after use. To learn more about S3 lifecycle policies, see Managing your storage lifecycle. client('s3') dynamodb = boto3.resource('dynamodb')

Lambda 109

Lambda AWS Architecture Training 109