Category: 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.

The new open-source Amazon Lex connector for Cisco Webex Contact Center enables organizations to deploy AI-powered virtual agents within their existing Cisco environment without costly rebuilds, delivering natural voice interactions across 25+ languages while maintaining current workflows and systems. This integration combines AWS AI services including Amazon Lex, Amazon Polly, and Amazon Bedrock with Cisco’s contact center platform to provide immediate customer responses, reduce wait times, and allow agents to focus on complex interactions that require human expertise.

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.

Modern enterprises face a critical challenge: maintaining security visibility across thousands of internet-facing assets created during rapid development cycles. Discover how Detectify’s AWS-integrated solution combines continuous Surface Monitoring and Application Scanning with community-powered intelligence from ethical security researchers to automatically discover, test, and secure external assets, transforming security from reactive, point-in-time testing into an always-on defense that scales with business growth and adapts as quickly as threats emerge.

This post highlights how organizations can adopt Code Ocean to empower research IT and equip scientists with a scalable, reproducible research platform. We’ll also highlight a real-world case study from the Allen Institute and introduce how research IT delivers secure, compliant access to agentic AI with Trusted Agents, which was recently launched in Code Ocean 4.0.

Securonix, a six-time Gartner Magic Quadrant Leader for SIEM, processes more than 78 million security events per second to help organizations reduce cybersecurity threats in near real time. Facing rising data volumes and an increasingly complex threat landscape, the company partnered with AWS Enterprise Support to modernize its infrastructure, migrating Spark processing workloads to Amazon EKS across 40+ clusters executing over 10,000 concurrent jobs. The transformation delivered impressive results: 30% improvement in cost performance, 99.99% availability, 91% faster code deployment (from 3-4 hours to 15 minutes), and 50% reduction in job recovery time. This modernization not only freed engineering teams from maintenance overhead but also established a scalable foundation for future growth, including planned integration of Amazon Bedrock’s generative AI capabilities.

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 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.

Discover how TrendAI Vision One™ and AWS services work together to address the most critical cloud security risks. Managing cloud risk requires more than merely deploying security features—it demands a continuous, integrated approach. TrendAI Vision One™ offers a comprehensive risk management platform that combines attack surface discovery, risk assessment and prioritization, and mitigation options to complement AWS solutions and strengthen your security posture in the cloud.