Groups Conversations All groups and messages Sign in     Spec-Driven Development comes to Azure Cosmos DB: The First Database Extension for GitHub Spec Kit 2 views Eyal Estrin unread, 11:13 AM (27 minutes ago)    to https://devblogs.microsoft.com/cosmosdb/spec-driven-development-comes-to-azure-cosmos-db-the-first-database-extension-for-github-spec-kit/ Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Today's tech is so short-sighted and bloated. AWS is a collection of resources, costs, permissions, and temporary infrastructure behind it. Here is how thinking in terms of a project lifecycle can make AWS development easier to manage. *This is mostly me learning how to write an article.

I started the AWS Cloud Foundations class with a curious mind and fairly vague idea of what "the cloud" actually meant. Like most people, I had used it for years without thinking about it. Module 1 talks about introduction, advantages of cloud computing and introduction to AWS. This is my documentation of that module.

Discover how to build a production-ready student platform on AWS using a serverless, scalable, and secure architecture. Learn how services like Lambda, API Gateway, DynamoDB, S3, CloudFront, Cognito, IAM, WAF, and CloudWatch work together to handle authentication, APIs, storage, security, monitoring, and scalability—turning a simple student project into a real-world cloud-native application.

this article is about cloud computing

I know how to write code. But what happens after I press “Run”? This is my journey from learning backend development on localhost to understanding how AWS can turn projects into applications people can actually use.

Learn how to design a scalable, serverless architecture for processing high-volume barcode scans using AWS Lambda, API Gateway, and DynamoDB.

Amazon Bedrock AgentCore enables the construction of multimodal WhatsApp order assistants and deployment of entire systems using AWS Cloud Development Kit (AWS CDK). It connects to restaurant backends via Model Context Protocol (MCP) and manages agent memory lifecycles. Engineers can customize text processing via Amazon Bedrock Converse API and perform real-time voice processing.

Amazon Bedrock AgentCoreを使用すると、マルチモーダルなWhatsApp注文アシスタントを構築でき、AWS Cloud Development Kit（AWS CDK）を活用して全システムをデプロイできます。また、Model Context Protocol（MCP）を通じてレストランのバックエンドに接続され、エージェントのメモリライフサイクルを管理できます。エンジニアは、Amazon Bedrock Converse APIを介してテキスト処理をカスタマイズし、リアルタイムの音声処理を実行できます。

A beginner-friendly guide to understanding how AWS can be used to build and deploy an AI application, covering the basic architecture, services, challenges, and lessons learned.

CS Student | AWS Student Builder Group Leader | Full Stack Developer in Progress | Cloud & AI Enthusiast

https://developers.googleblog.com/build-zero-trust-ai-agents-with-googles-agent-development-kit/ Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com

In this post, we show you the key considerations for building a dedicated mobile frontend that solves these challenges while reusing the existing backend infrastructure and AWS Cloud Development Kit (AWS CDK) deployment pattern of Part 1.

In this post, we present a solution designed to centralize the monitoring of SageMaker Pipelines across AWS accounts and Regions using Amazon CloudWatch custom dashboards. The accompanying GitHub repository provides a customizable AWS Cloud Development Kit (AWS CDK) example of the required infrastructure.

This post walks through building a serverless image editor where users upload a photo, describe an edit in plain English, and receive the result in seconds. The agent runs on AgentCore harness without custom orchestration code. We deploy the full solution, including authentication, encrypted storage, three image editing tools, and a React frontend, with a single deployment command. The infrastructure is defined using AWS Cloud Development Kit (AWS CDK).

Learn how by combining MedDream's FDA-cleared diagnostic viewer with AWS HealthImaging and automated AWS Cloud Development Kit (AWS CDK) deployment, you can deploy a complete, production-ready…

In this post, you build and connect that server end to end. You will implement MCP tools, set up two-layer JSON Web Token (JWT) authentication, deploy with AWS Cloud Development Kit (AWS CDK), and connect the result to Mistral AI’s Vibe. The post also covers prerequisites, solution architecture, best practices for MCP servers and Vibe connectors, and resource cleanup. The ecommerce server that you build supports product search, order placement, review submission, and returns processing using Amazon DynamoDB for data and Amazon Cognito for identity management.

In this post, we show you how to build a voice ordering system that answers a phone number and takes the order from greeting to confirmation. The system uses Amazon Bedrock AgentCore to host and run the agent and Amazon Nova 2 Sonic for real-time speech, connected to a restaurant backend through the Model Context Protocol (MCP). The walkthrough covers deploying the full stack with AWS Cloud Development Kit (AWS CDK) and bridging a phone call into the agent through a Session Initiation Protocol (SIP) gateway on Amazon Elastic Container Service (Amazon ECS) and AWS Fargate. It also warms the agent session while the phone is still ringing, so the caller never hears dead air.

In this post, we show you how to build a voice ordering system that answers a phone number and takes the order from greeting to confirmation. The system uses Amazon Bedrock AgentCore to host and run the agent and Amazon Nova 2 Sonic for real-time speech, connected to a restaurant backend through the Model Context Protocol (MCP). The walkthrough covers deploying the full stack with AWS Cloud Development Kit (AWS CDK) and bridging a phone call into the agent through a Session Initiation Protocol (SIP) gateway on Amazon Elastic Container Service (Amazon ECS) and AWS Fargate. It also warms the agent session while the phone is still ringing, so the caller never hears dead air.

In this post, we show you how to build a voice ordering system that answers a phone number and takes the order from greeting to confirmation. The system uses Amazon Bedrock AgentCore to host and run the agent and Amazon Nova 2 Sonic for real-time speech, connected to a restaurant backend through the Model Context Protocol (MCP). The walkthrough covers deploying the full stack with AWS Cloud Development Kit (AWS CDK) and bridging a phone call into the agent through a Session Initiation Protocol (SIP) gateway on Amazon Elastic Container Service (Amazon ECS) and AWS Fargate. It also warms the agent session while the phone is still ringing, so the caller never hears dead air.

In this post, we present a solution designed to centralize the monitoring of SageMaker Pipelines across AWS accounts and Regions using Amazon CloudWatch custom dashboards. The accompanying GitHub repository provides a customizable AWS Cloud Development Kit (AWS CDK) example of the required infrastructure.

In this post, we present a solution designed to centralize the monitoring of SageMaker Pipelines across AWS accounts and Regions using Amazon CloudWatch custom dashboards. The accompanying GitHub repository provides a customizable AWS Cloud Development Kit (AWS CDK) example of the required infrastructure.

In this post, we present a solution designed to centralize the monitoring of SageMaker Pipelines across AWS accounts and Regions using Amazon CloudWatch custom dashboards. The accompanying GitHub repository provides a customizable AWS Cloud Development Kit (AWS CDK) example of the required infrastructure.

Learn how by combining MedDream's FDA-cleared diagnostic viewer with AWS HealthImaging and automated AWS Cloud Development Kit (AWS CDK) deployment, you can deploy a complete, production-ready…

In this post, you build and connect that server end to end. You will implement MCP tools, set up two-layer JSON Web Token (JWT) authentication, deploy with AWS Cloud Development Kit (AWS CDK), and connect the result to Mistral AI’s Vibe. The post also covers prerequisites, solution architecture, best practices for MCP servers and Vibe connectors, and resource cleanup. The ecommerce server that you build supports product search, order placement, review submission, and returns processing using Amazon DynamoDB for data and Amazon Cognito for identity management.