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Discover cutting-edge architectural methods and generative AI innovations for cloud applications, exploring modern data strategies and proven techniques for building next-generation solutions on AWS.
Discover how to build generative AI applications by combining AWS Amplify, Amazon Q, and Bedrock for intelligent search, summarization, and chatbot features in full-stack development.
Discover how BBVA built a global data platform powering data lake and mesh architectures, focusing on migration strategies, security controls, and automated tools for multi-region deployment using AWS services.
Master Amazon SageMaker's MLOps tools for streamlining generative AI workflows, from training to deployment. Learn to automate processes, govern models at scale, and implement efficient ML pipelines using latest capabilities.
Explore high availability and disaster recovery design patterns for Amazon Aurora, featuring Multi-AZ deployments, Global Database, and RDS Proxy to build resilient applications at global scale.
Discover how Amazon ECS and AWS App Runner streamline container orchestration, accelerate production deployments, and enable scalable platform building through seamless AWS service integration and real-world examples.
Discover the latest AWS compute innovations, from advanced instance types to containers and serverless technologies, transforming how applications run in cloud, on-premises, and edge environments.
Discover how Netflix leverages Apache Iceberg and Maestro for efficient incremental data processing, reducing compute costs while maintaining data accuracy and managing late-arriving data at scale.
Master production-grade Amazon EKS cluster management using open-source tools like ACK, Argo CD, and Backstage. Learn scaling techniques, security practices, and observability strategies for resilient architectures.
Discover comprehensive observability strategies for generative AI workloads using Amazon CloudWatch, focusing on LLMs, RAG architectures, and integration with LangChain, Bedrock, and SageMaker.
Discover essential strategies for multi-Region AWS architectures, including failover approaches, decision-making processes, and real-world implementation insights from Samsung Account's experience.
Master end-to-end generative AI deployment with RAG processes, best practices for AWS database services, and data governance concepts for building effective AI applications using Amazon Bedrock features.
Discover how to implement AWS Well-Architected Framework best practices across workload lifecycles, using tools like Well-Architected Tool, Trusted Advisor, and AWS Health for optimal architecture.
Delve into AWS's global network architecture, exploring how ownership and innovation drive the performance, reliability, and scalability of their planet-scale infrastructure and data centers.
Discover how generative AI tools like Amazon Q and Bedrock can revolutionize DevOps workflows, boost deployment speed, and enhance team collaboration while reducing service disruptions.
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