Category: Best Practices

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.

We’re introducing the Agentic AI Technical Learning Plan in AWS Skill Builder, offering AWS Partners more than 15 hours of specialized training to build scalable, production-ready agentic AI solutions. Through hands-on workshops and technical deep dives, Partners can develop expertise in multi-agent systems, implementation patterns, and enterprise-grade best practices.

Automat-it evolved from a DevOps specialist to a comprehensive MSP through AWS Strategic Collaboration Agreement, expanding to 6 new EMEA markets and growing its customer base by 265%. The partnership enabled 96% workforce expansion, 250+ new AWS certifications, and development of innovative GenAI solutions. With AWS support, Automat-it achieved 300% revenue growth while improving profit margins, demonstrating how AWS empowers partners to scale globally and ascend the cloud value chain. This transformation showcases the power of AWS Strategic Collaboration Agreements in driving partner success and innovation across emerging technologies.

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.

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.