AWS Partner Network (APN) Blog

Tag: AWS Partner Network

Enhancing Security Incident Response with AWS Partners: Program updates and capabilities

AWS Security Incident Response partners are strengthening customer security posture through new integrations that accelerate incident detection, response, and recovery across AWS environments. With enhanced AI-powered capabilities, expanded partner integrations from industry leaders like CrowdStrike, Palo Alto Networks, and SentinelOne, and new consumption-based pricing with a free tier, organizations can now build more robust, scalable incident response programs that reduce mean time to resolution while maintaining comprehensive security controls. Learn how AWS and our Security Incident Response partners are helping customers resolve security incidents faster through coordinated expertise, proven methodologies, and seamless service integrations.

AVEVA and AWS expand cloud capabilities for industrial operations blog

AVEVA and AWS expand cloud capabilities for industrial operations

AVEVA and AWS are strengthening their collaboration to help industrial organizations reduce IT challenges and accelerate cloud adoption. Building on their 10-year relationship, AVEVA has successfully validated key components of its industrial operations software portfolio on AWS infrastructure, including AVEVA System Platform and Manufacturing Execution System on Amazon EC2, plus integration of Amazon RDS with AVEVA PI Data Infrastructure. Organizations can now manage their entire operational technology stack within a unified AWS environment, addressing critical pain points like system maintenance, data integration challenges, and total cost of ownership.

Code Ocean and AWS transform reproducible scientific research with agentic AI

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.

How to manage peak traffic on AWS using Queue-it’s virtual waiting room

Queue-it, an AWS Partner, integrates with Amazon CloudFront to provide virtual waiting room capabilities that control visitor flow during high-traffic events—addressing scenarios where traffic spikes faster than infrastructure can scale, backend systems hit constraints, or fairness matters for limited-inventory sales. Built entirely on AWS services including DynamoDB, Lambda@Edge, and Amazon EC2, Queue-it’s solution helped Sky Mobile achieve a 37% conversion rate increase during their iPhone launch and enabled His Majesty’s Passport Office to handle traffic spikes of nearly 70,000 applications while maintaining system stability.

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Transform CTEM with Zafran’s threat exposure management platform on AWS

Zafran’s Threat Exposure Management Platform, built on AWS services operationalizes continuous threat exposure management (CTEM) across hybrid-cloud environments addressing gaps that traditional periodic scanning can’t solve in today’s threat landscape. With attackers exploiting vulnerabilities within days or minutes, organizations need contextual, automated approaches. Learn how customers are achieving up to 94% reduction in critical vulnerabilities through Zafran’s prioritization and remediation workflows.

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MoneySuperMarket’s AI leap with Firemind and AWS

MoneySuperMarket found that searching for the right credit card is often overwhelming for customers. In partnership with Firemind and AWS, they built Money Concierge, an AI-powered assistant that provides personalized suggestions in natural language, in only 6 months. The solution has helped over 55,000 customers in their credit card journey achieving 93% positive feedback.

Generative AI for operations leaders: How Domo and Amazon Bedrock optimize efficiency

For COOs, generative AI isn’t just another technology—it’s a fundamental shift in how you lead and execute. The integration of Domo’s agentic AI with Amazon Bedrock transforms operational workflows from reactive to predictive, automating decisions while surfacing insights that drive measurable outcomes. By embracing this framework, you’re positioning your organization to lead with data-driven confidence and sustainable competitive advantage.

Behind Securonix’s Unified Defense SIEM Spark Architecture on Amazon EKS: 99.99% Availability Across 10,000+ Concurrent Jobs

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.

SnapSoft APN Blog

Scale AI application in production: Build a fault-tolerant AI gateway with SnapSoft

This post introduces SnapSoft’s AI gateway solution, which creates a fault-tolerant architecture by intelligently routing requests across multiple providers, AWS accounts, and Regions to ensure continuous operation even during peak demand. Learn how GDE-MIT, an EdTech platform serving thousands of students, migrated from a single-endpoint architecture to achieve high availability, substantial cost savings, and production-scale performance using this multi-provider approach.

Unlock test intelligence with natural language: QMetry and Amazon Bedrock integration

QMetry from SmartBear powered by Amazon Bedrock transforms how teams plan, manage, and analyze testing. The platform introduces smart AI search and AI-powered SQL generation, allowing users to interact with test data using straightforward, natural language instead of complex SQL queries. This helps teams find information faster, shortens feedback loops, and enables confident release decisions, turning quality testing into a strategic advantage for modern software delivery.