AWS Compute Blog

Tag: serverless

cloudwatch-insights-service-map-view

Building well-architected serverless applications: Understanding application health – part 2

This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the nine serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the Introduction post for a table of contents and explaining the example application. Question OPS1: How […]

Decoupled translation architecture.

Translating documents at enterprise scale with serverless

Developing a scalable translation solution for thousands of documents can be challenging using traditional, server-based architecture. Using a serverless approach, this becomes much easier since you can use storage and compute services that scale for you.

Stream Auth0 events to AWS with Amazon eventBridge

Visualize user behavior with Auth0 and Amazon EventBridge

In this post, I show how to capture user events and monitor user behavior by using the Amazon EventBridge partner integration with Auth0. This enables you to gain insights to help deliver a more customized application experience for your users. Auth0 is a flexible, drop-in solution that adds authentication and authorization services to your applications. […]

Serverless architecture for text extraction and classification.

Creating a searchable enterprise document repository

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Enterprise customers frequently have repositories with thousands of documents, images and other media. While these contain valuable information for users, it’s often hard to index and search this content. One challenge is interpreting the data intelligently, and another issue is […]

cross-service-metrics-dashboard

Building well-architected serverless applications: Understanding application health – part 1

This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the nine serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the Introduction post for a table of contents and explaining […]

serverless-lens-in-console

Building well-architected serverless applications: Introduction

The following posts are a multi-part series addressing each of the questions within the Serverless Lens of the Well-Architected Tool. Series Episodes: Building well-architected serverless applications Introduction Operational Excellence: Understanding serverless application health Out of the box metrics and alerts; structured and centralized logging Custom metrics and distributed tracing Operational Excellence – Approaching serverless application […]

A Visual Studio Code window displaying two tabs, an updated state machine definition and the automatically-updated preview of the same state machine

AWS Step Functions support in Visual Studio Code

The AWS Toolkit for Visual Studio Code has been installed over 115,000 times since launching in July 2019. We are excited to announce toolkit support for AWS Step Functions, enabling you to define, visualize, and create your Step Functions workflows without leaving VS Code. Version 1.8 of the toolkit provides two new commands in the […]

Lambda test tool

Announcing AWS Lambda support for .NET Core 3.1

This post is courtesy of Norm Johanson, Senior Software Development Engineer, AWS SDKs and Tools. From today, you can develop AWS Lambda functions using .NET Core 3.1. You can deploy to Lambda by setting the runtime parameter value to dotnetcore3.1. Version 1.17.0.0 AWS Toolkit for Visual Studio and version 4.0.0 of the .NET Core Global Tool […]

Advanced application architecture

Converting call center recordings into useful data for analytics

Many businesses operate call centers that record conversations with customers for training or regulatory purposes. These vast collections of audio offer unique opportunities for improving customer service. However, since audio data is mostly unsearchable, it’s usually archived in these systems and never analyzed for insights. Developing machine learning models for accurately understanding and transcribing speech […]