Tag: Best Practices

SAS Viya Workbench on AWS provides a unified cloud environment for Python, R, and SAS, letting teams focus on building models instead of managing infrastructure. Its split-plane architecture keeps your data securely within your AWS account while SAS handles orchestration. With elastic scalability, pre-configured environments, and built-in collaboration, teams can accelerate analytics innovation from day one.

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.

Unlock the secrets to boosting productivity, innovation, and employee engagement by making digital and AI upskilling your organization’s competitive advantage. Discover how leading companies like Terrascope and Kyndryl transformed their teams and business outcomes with AWS-powered learning programs—see the real impact inside.

Discover how Accenture and AWS are helping organizations protect their data against emerging quantum computing threats. Learn about our four-phase approach to implement quantum-safe cryptography and ensure your organization’s long-term security. Start your quantum-safe journey today with expert guidance from AWS and Accenture.

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.

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.

The journey from open source project to profitable business presents unique challenges in today’s technology landscape. While traditional software companies directly monetize their code, open source founders face the complex task of balancing community engagement with commercial viability. AWS has developed a comprehensive framework to support open source projects through this transition, bridging the gap between open source software and enterprise solutions. Through the AWS Global Startup Program (GSP), AWS provides critical support in two key areas: developing enterprise-ready offerings and executing comprehensive go-to-market strategies. This can include technical expertise, dedicated architectural support, and market acceleration with the AWS Marketplace. The program helps startups create managed services that make open source technology simpler, more stable, and secure while maintaining community trust.