Tag: IT cloud computing

Technologies such as machine learning, artificial intelligence, and Generative AI are transforming manufacturing, offering benefits like improved uptime, safety, waste reduction, and faster time to market. Despite this, companies face challenges in AI adoption due to cultural, organizational, and technical constraints. An AI Center of Excellence (CoE) can bridge these gaps and accelerate modernization through AI and Gen AI adoption.

AWS has launched the new AWS Graviton4-based Amazon EC2 R8g instances, offering superior performance, energy efficiency, and enhanced security. These instances are ideal for various workloads, achieving significant performance improvements over previous generations. With larger instance sizes, increased memory bandwidth, and network bandwidth, they provide a powerful and cost-effective computing option.

This post, by Marcos Ortiz and Khubyar Behramsha, explains how organizations can transition from a single-Region to a multi-Region API Gateway architecture with reliable failover mechanisms. It emphasizes the importance of independent failover controls for business-critical applications and provides a detailed walk-through for deploying and testing the proposed architecture.

Machine learning models are increasingly demanding powerful computing for efficient training. Organizations are turning to GPU-accelerated Kubernetes clusters for model training and inference. Properly monitoring GPU usage is critical to understand model performance and optimize infrastructure. Amazon CloudWatch now offers Container Insights for Amazon EKS with support for NVIDIA GPUs and EFAs, providing essential observability for machine learning workloads.

Amazon DataZone introduces a new API-driven and OpenLineage compatible data lineage capability. This feature provides an end-to-end view of data movement over time, helping users visualize and understand data provenance, trace change management, and be prepared for questions on data movement. The data lineage capability is available in preview in all Regions where Amazon DataZone is generally available.

AWS introduced Migration Hub Journeys to accelerate application migration and modernization. The tool provides task-based templates, expert guidance, and collaboration for seamless migration. New templates for AWS for VMware enable rapid migration and optimization of VMware workloads. The templates guide users through planning, execution, and tracking of migrations, ensuring successful transitions to AWS.

Businesses are increasingly migrating to the cloud for scalability and cost-effectiveness. This Let’s Architect! blog post guides you through the process of migrating to the cloud with AWS, leveraging the AWS Cloud Adoption Framework. It outlines a comprehensive approach and valuable resources for successful migration, large-scale migration, database migration, application migration, and infrastructure automation.

In today’s digital landscape, the shift to cloud infrastructure offers organizations the opportunity to enhance disaster recovery and resilience. AWS Resilience Hub allows for defining, validating, and tracking application resiliency, supporting business continuity and regulatory requirements. Integrating the hub into the migration process helps applications meet resilience standards and reduces recovery time.

This architecture demonstrates integrating Microsoft Entra identity and access capabilities into a zero-trust security strategy focused on cloud services. Gartner predicts rapid cloud market growth, highlighting the need for a shift towards prioritizing user identity security. Microsoft Cybersecurity Reference Architecture (MCRA) outlines how these capabilities integrate with existing architectures and provides potential use cases and components.