Search AWS Educational Content

On AWS Tech Tales we've always tried to troubleshoot real life customer issues live, but now we have a frontier agent to solve these scenarios for us! We'll explore the GA version of AWS DevOps Agent together and you can vote on which domains you want to see (Containers, AL/ML, 3rd Party logging).

Clearwater Analytics, a software-as-a-service FinTech company, needed to reduce ticket resolution times and improve client servicing efficiency. The company built 700+ AI agents using Amazon Bedrock, including an agent called Nikki that helps clients classify principal bonds by leveraging knowledge bases curated from NAIC, client data, and subject matter experts. Hear how from Bharat Mabbu, general manager at Clearwater Analytics.

Discover how Itau, Latin America's largest bank, revolutionized their business intelligence with Amazon QuickSight. Watch their journey from legacy systems to cloud-native BI, achieving: • 10x faster performance • Support for 32,000 active users • Management of 26,000 dashboards • Seamless security integration • Significant cost optimization Learn how Amazon QuickSight can transform your organization's analytics capabilities: https://go.aws/4iAH2LC Subscribe to AWS: https://go.

Data lakes, data warehouses, or both? Join this session to explore how to build a unified, open, and secure data lakehouse architecture, fully compatible with Apache Iceberg, in Amazon SageMaker. Learn how the lakehouse breaks down data silos and opens your data estate offering flexibility to use your preferred query engines and tools that accelerate time to insights.

Discover how Visa revolutionized real-time payment security by leveraging AWS services, including AWS Nitro Enclaves, Amazon EKS, and Amazon MemoryDB, for their Visa Protect solution. This session explores Visa's journey to a rapidly scalable, cloud-based fraud detection solution. Learn how Visa processes massive volumes of sensitive financial data with ultra-low latency while maintaining stringent security standards.

Want engineering teams that naturally prioritize security? In this session, explore practical approaches for building a security-minded culture. Through real-world examples, learn how AWS has successfully implemented cultural elements and mechanisms that enable proactive security. Discover strategies for developing teams that instinctively identify issues and investigate potential impacts. Leave with actionable steps to transform your engineering practices.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/create-image-workspaces The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Nalin shows you how to create a custom Amazon WorkSpaces image for Windows or Linux. Subscribe to AWS: https://go.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/api-gateway-private-cross-account-vpce The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Shakeeb shows you how to use an interface VPC endpoint to access an API Gateway private REST API in another account.

Physical AI is changing robotics by enabling systems to interact intelligently with the world, but development requires extensive compute, simulation, and deployment resources. This session shows how NVIDIA’s Isaac platform combined with AWS allows end-to-end implementation: robots are trained and validated in high-fidelity simulated environments using Amazon EC2 GPU instances, with large-scale workloads orchestrated via AWS Batch and Isaac Lab for parallel experiments.

Discover how customers are leveraging AWS AI-driven solutions to accelerate their cloud transformation journey, moving beyond traditional migration and modernization to achieve digital transformation excellence. This session showcases real-world experiences where organizations have integrated AI-powered accelerators with AWS cloud services to achieve 3x faster migration timelines and drive unprecedented business value.

Robinhood, a leader in fintech innovation, is implementing best practices for secure cloud infrastructure and AI deployment to work toward their mission to democratize finance. In this Tiny Mic Q&A, Sujith Katakam, Tech Lead for Security Engineering at Robinhood, shares how they're using AWS services to enhance developer velocity and automate security processes while ensuring robust data protection.

Organizations face significant challenges achieving predictable recovery times and maintaining consistency in multi-Region applications at scale. Learn how to use Application Recovery Controller (ARC), Aurora DSQL, and DynamoDB Multi-Region Strong Consistency to create resilient architectures with bounded recovery targets. Through real-world implementation patterns,discover how ARC Region switch controls and AWS Fault Injection Service transform maintenance and testing approaches.