Category: Technical How-to

Discover how hybrid elasticity introduces a zero-migration data access model that decouples data residency from compute elasticity, enabling enterprises to transform existing data centers into dynamic hybrid data hubs with on-demand cloud scale without moving data.

Accenture and AWS are closing the data readiness gap that stalls most enterprise AI initiatives with three new agentic AI solutions—now available in AWS Marketplace—that autonomously discover, migrate, govern, and make enterprise data consumable for generative AI and agentic applications. Built on Amazon Bedrock AgentCore and backed by 16 years of partnership experience, these solutions help organizations turn fragmented, legacy data estates into strategic assets ready for agentic AI at enterprise scale.

Modern software teams no longer need to choose between deployment speed and security. CircleCI’s implementation of the AWS Deployment Pipeline Reference Architecture demonstrates how to build enterprise-grade deployment pipelines that deliver 50% faster deployments while reducing security vulnerabilities by 85%. This reference implementation combines the robust cloud infrastructure of AWS with the flexible CI/CD platform of CircleCI, providing a ready-to-fork blueprint that organizations can customize and deploy in an afternoon.

Explore how to scale content enablement with generative AI. From rapid video localization to automated workflow management, learn practical ways to transform content operations and access resources to accelerate implementation through the AWS AI & Data Knowledge Center.

Discover how Blux, a B2B SaaS startup, successfully implemented their personalized product recommendation service using AWS EKS architecture. Follow their technical journey of building an AI-powered recommendation system that delivers 7x improvement in conversion rates with just 2-3 hours of implementation time.

Learn how to balance the competing demands of authentication security and user experience in today’s digital landscape, where customers expect frictionless interactions while businesses require strong fraud prevention. This post covers the integration between Amazon Cognito and Authsignal, showcasing how they work together to create adaptive authentication experiences that respond to user context and business needs.

By Aaron Gettings, Director of Engineering at Cloud Storage Security by Ashok Mahajan, Sr. Partner Solutions Architect, Startups at AWS by Neil Salamack, Senior Product Marketing Manager at AWS Managing file storage data security is an inherently complex task. Uncoordinated file storage in the cloud often leads to disparate environments with fragmented data. The result […]

The integration of Amazon Bedrock and Kong AI Gateway provides organizations with a comprehensive solution for scaling generative AI implementations, addressing key challenges in cost management, model orchestration, and operational visibility. Through Kong AI Gateway’s token-based cost controls, automated semantic routing across multiple LLMs, and comprehensive AI observability features, organizations can effectively manage and govern their AI applications while leveraging Amazon Bedrock’s secure foundation of leading foundation models and managed infrastructure.

Decentralization of work and infrastructure in hybrid environments is leading to identity and access management challenges due to lack of centralized visibility and governance. In this blog, let’s learn how customers can solve these challenges and enhance their identity governance and security with Cisco Duo Identity Federation and advanced access management features. Cisco Duo seamlessly integrates with AWS IAM Identity Center and other identity sources and acts as an identity aggregator that efficiently routes user authentication to appropriate sources. This integrated solution delivers both improved security with end-to-end phishing resistance and AI-driven identity intelligence, and a simplified user experience through passwordless authentication.

The blog introduces a five-layer Generative AI Landing Zone architecture on AWS that helps organizations quickly implement and scale AI capabilities while maintaining security and compliance standards. The solution addresses key challenges like compliance delays, pilot-to-production gaps, and limited visibility through features such as automated guardrails, same-day sandboxes, reusable blueprints, built-in observability, and continuous governance.