AWS Architecture Blog

Category: Technical How-to

Media Analysis Architecture

Analyze media content using AWS AI services

Organizations managing large audio and video archives face significant challenges in extracting value from their media content. Consider a radio network with thousands of broadcast hours across multiple stations and the challenges they face to efficiently verify ad placements, identify interview segments, and analyze programming patterns. In this post, we demonstrate how you can automatically transform unstructured media files into searchable, analyzable content.

How Launchpad from Pega enables secure SaaS extensibility with AWS Lambda

In this post, we share how Pegasystems (Pega) built Launchpad, its new SaaS development platform, to solve a core challenge in multi-tenant environments: enabling secure customer customization. By running tenant code in isolated environments with AWS Lambda, Launchpad offers its customers a secure, scalable foundation, eliminating the need for bespoke code customizations.

Enterprise-level AWS architecture diagram showing secured API gateway with multi-account EKS service distribution

Transforming Maya’s API management with Amazon API Gateway

In this post, you will learn how Amazon Web Services (AWS) customer, Maya, the Philippines’ leading fintech company and digital bank, built an API management platform to address the growing complexities of managing multiple APIs hosted on Amazon API Gateway.

Revolutionizing agricultural knowledge management using a multi-modal LLM: A reference architecture

In this blog post, we introduce a reference architecture that offers an intelligent document digitization solution that converts handwritten notes, scanned documents, and images into editable, searchable, and accessible formats. Powered by Anthropic’s Claude 3 on Amazon Bedrock, the solution uses the sophisticated vision capabilities of LLMs to process a wide range of visual formats, preserving the original formatting while extracting text, tables, and images.

How Smartsheet reduced latency and optimized costs in their serverless architecture

In this post, we discuss Smartsheet’s journey optimizing its serverless architecture. We explore the solution, the stringent requirements Smartsheet faced, and how they’ve achieved an over 80% latency reduction. This technical journey offers valuable insights for organizations looking to enhance their serverless architectures with proven enterprise-grade optimization techniques.

Master architecture decision records (ADRs): Best practices for effective decision-making

In this post, you’ll learn how to implement Architecture Decision Records (ADRs) in your organization, based on best practices developed from experience with over 200 ADRs across multiple projects. You’ll also discover practical tips for streamlining architectural decision-making, see real-world examples from projects with teams ranging from 10 to over 100 members, and understand the common challenges in architecture decision-making and how ADRs can help address them.

spectrum of disaster recovery strategies

Pilot light with reserved capacity: How to optimize DR cost using On-Demand Capacity Reservations

In this post, we explore an intermediate strategy between the pilot light and the warm standby strategies: pilot light with reserved capacity. You can use this strategy to reserve compute capacity in a secondary Region while also limiting cost.

Example of a three-tier architecture on AWS

Building a three-tier architecture on a budget

AWS customers often look for ways to run their systems within or under budget, avoiding unnecessary costs. This post offers practical advice on designing scalable and cost-efficient three-tier architectures by using serverless technologies within the AWS Free Tier. With AWS, you can start small and scale cost-effectively as your business demand increases. You can begin […]

Genomics workflows, Part 7: analyze public RNA sequencing data using AWS HealthOmics

Genomics workflows process petabyte-scale datasets on large pools of compute resources. In this blog post, we discuss how life science organizations can use Amazon Web Services (AWS) to run transcriptomic sequencing data analysis using public datasets. This allows users to quickly test research hypotheses against larger datasets in support of clinical diagnostics. We use AWS […]