Perficient

SEPTEMBER 4, 2024

In this blog, we can set up a continuous integration/continuous delivery (CI/CD) pipeline using AWS Code-Commit, AWS Code-Build, and AWS Code-Deploy for application development and testing and AWS Code Pipeline for workflow orchestration. What is AWS DevOps? It is designed to make web-scale cloud computing easier for developers.

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AWS DevOps Applications Software Review 52

Cloudera

SEPTEMBER 30, 2022

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. build high performant, scalable web applications across multiple data centers).

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Serverless Microservices Lambda IoT 77

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. A Lambda function pulls the appropriate prompt template from the Lambda layer and formats model prompts by adding the customer input in the associated prompt template. awscli>=1.29.57

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Generative AI Lambda AWS Artificial Inteligence 124

AWS Machine Learning - AI

JULY 11, 2024

In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams. Diagram analysis and query generation : The Amazon Bedrock agent forwards the architecture diagram location to an action group that invokes an AWS Lambda.

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Software Review Infrastructure Lambda Generative AI 114

AWS Machine Learning - AI

JULY 10, 2024

In this blog post, we will discuss new features in Knowledge Bases for Amazon Bedrock can improve the accuracy of responses in applications that use RAG. In the next section, we discuss custom processing using Lambda function provided by Knowledge bases for Amazon Bedrock.

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Knowledge Base Artificial Inteligence Lambda Applications 113

Instaclustr

JUNE 4, 2019

At Instaclustr, we constantly push ourselves to test the limits of the performance and scalability of the open source technologies our Managed Platform offers. Kafka is a good choice for fast scalable ingestion of streaming data. “The limits of the possible can only be defined by going beyond them into the impossible.”.

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Scalability Open Source AWS Applications 29

AWS Machine Learning - AI

JANUARY 26, 2024

Next, make sure that all data at rest is encrypted with AWS KMS, including considering the use of CMKs, and all data and models are versioned and backed up using Amazon Simple Storage Service (Amazon S3) versioning and applying object-level immutability with Amazon S3 Object Lock. Ram Vittal is a Principal ML Solutions Architect at AWS.

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Artificial Inteligence Generative AI Security Applications 126

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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Generative AI Artificial Inteligence Data AWS 100

AWS Machine Learning - AI

APRIL 11, 2024

The following architecture diagram illustrates how you can use the Amazon Titan Multimodal Embeddings model with documents in an Amazon Simple Storage Service (Amazon S3) bucket for image gallery creation. An Amazon S3 object notification event invokes the embedding AWS Lambda function.

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Artificial Inteligence Lambda AWS Machine Learning 105

AWS Machine Learning - AI

FEBRUARY 9, 2024

API Gateway routes the request to an AWS Lambda function ( bedrock_invoke_model ) that’s responsible for logging team usage information in Amazon CloudWatch and invoking the Amazon Bedrock model. The workflow steps are as follows: An Amazon EventBridge rule triggers a Lambda function ( bedrock_cost_tracking ) daily.

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Lambda Generative AI AWS Microservices 132

AWS Machine Learning - AI

SEPTEMBER 17, 2024

Event-driven compute with AWS Lambda is a good fit for compute-intensive, on-demand tasks such as document embedding and flexible large language model (LLM) orchestration, and Amazon API Gateway provides an API interface that allows for pluggable frontends and event-driven invocation of the LLMs.

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Generative AI AWS Applications Serverless 73

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. He assists customers in designing, developing, and implementing secure, scalable, and innovative solutions on AWS.

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Knowledge Base Artificial Inteligence Analysis AWS 92

AWS Machine Learning - AI

SEPTEMBER 12, 2024

Architecture The solution uses Amazon API Gateway , AWS Lambda , Amazon RDS, Amazon Bedrock, and Anthropic Claude 3 Sonnet on Amazon Bedrock to implement the backend of the application. He is passionate about helping enterprise customers build scalable , resilient and cost efficient Applications. Sukhomoy Basak is a Sr.

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Generative AI Healthcare Artificial Inteligence Insurance 109

Cloudera

JULY 26, 2021

x, and NVIDIA GPU computing ), thus removing some of the scalability challenges of legacy platforms, also preventing large capital outlays for data center infrastructure. The post Five Strategies to Accelerate Data Product Development appeared first on Cloudera Blog. Deep Java Learning, Apache Spark 3.x,

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Strategy Development Data Analytics 119

MagmaLabs

MAY 13, 2021

So, in this blog post, we will digest all that information and tell you how to create an App for exploring the basic libraries to use and interact with it. It provides us with cloud services, such as storage, NoSQL database technologies, Server-less, GraphQL APIs, testing tools, analytics, and caching data. Keep reading!

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AWS Development Authentication Mobile 75

Gorilla Logic

SEPTEMBER 16, 2021

The three cloud providers we will be comparing are: AWS Lambda. Scalability, Limits, and Restrictions. AWS Lambda. Pricing: AWS Lambda (Lambda) implements a pay-per-request pricing model: Meter. . Additionally, Lambda provides a built-in Runtime API in case you have more specific requirements. Google Cloud.

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Serverless Lambda Cloud AWS 70

Altexsoft

SEPTEMBER 6, 2023

This blog will navigate through: The essential pillars of serverless security: robust authentication and authorization, ensuring data security and integrity, rigorous monitoring and logging, and safeguarding against brute force attacks. The three primary benefits, however, include: Scalability. Want to write an article for our blog?

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Serverless Applications Cloud AWS 52

Confluent

FEBRUARY 27, 2019

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., You can read more about CloudEvents in part 1 of this blog series. Provider dependent: 500 MB storage, 128 MB ?

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Serverless Lambda AWS Systems Review 109

Altexsoft

MAY 20, 2020

These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. In addition to broad sets of tools, it offers easy integrations with other popular AWS services taking advantage of Amazon’s scalable storage, computing power, and advanced AI capabilities.

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IoT Azure AWS Transportation 141

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. It has the key elements of fast ingest, fast storage, and immediate querying for BI purposes. These include stream processing/analytics, batch processing, tiered storage (i.e. Flexible, scalable query engine for EDW.

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Data Analytics Storage Big Data 100

Openxcell

MAY 12, 2023

Through AWS, Azure, and GCP’s respective cloud platforms, customers have access to a variety of storage, computation, and networking options.Some of the features shared by all three systems include fast provisioning, self-service, autoscaling, identity management, security, and compliance. What is AWS Cloud Platform?:

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Google Cloud Azure AWS Cloud 52

AWS Machine Learning - AI

MAY 21, 2024

This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges. The digital publishing frontend application Storm is a single-page application built using React and Material Design and deployed using Amazon Simple Storage Service (Amazon S3) and Amazon CloudFront.

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Generative AI Artificial Inteligence AWS Serverless 113

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. Really cool tech if you want to move your existing AWS Lambda or Azure Functions over to Kubernetes. solutions which are more barebones.

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Serverless Azure Metrics AWS 83

The Agile Monkey

DECEMBER 28, 2018

It encompasses both Platform as a Service offerings (Sometimes called BaaS or Backend as a Service) as well as Function as a Service products like Lambda. Martin Fowler has an excellent blog post on this pattern (Martin Fowler has an excellent blog post on most things). Lambda - Our FaaS message consumer solution.

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Serverless AWS Lambda Storage 40

Mobilunity

JUNE 18, 2021

Fully managed AWS services also provide easy and affordable scalability. All the costs for setting things up are one-time disbursements, and the AWS managed services pricing is flexible and scalable. Scalability. Like any other cloud features, managed services as code AWS offer excellent scalability opportunities.

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AWS UI/UX Comparison Scalability 52

Xebia

SEPTEMBER 22, 2021

In our previous blog , we shortly touched upon security challenges that we can come upon when working with Terraform on AWS. In this blog we want to dig a little deeper into IAM by explaining 10 pitfalls you should look out for when you configure AWS IAM. Other examples are KMS key policies or Lambda function invocation permissions.

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