Scalable, Cost-Effective Disaster Recovery in the Cloud

Should disaster strike, business continuity can require more than just periodic data backups. A full recovery that meets the business’s recovery time objectives (RTOs) must also include the infrastructure, operating systems, applications, and configurations used to process their data. The growing threats of ransomware highlight the need to be able to perform a full point-in-time recovery. For businesses affected by a ransomware attack, restoration of data from an old, possibly manual, backup will not be sufficient. Previously, businesses have elected to provision separate, physical disaster recovery (DR) infrastructure. However, customers tell us this can be both space- and cost-prohibitive, involving capital expenditure on hardware and facilities that remain idle until called upon. The infrastructure also incurs overhead in terms of…

Meet the latest AWS Heroes – November 2021

It is an exciting time of year, with AWS re:Invent right around the corner. As we reflect back on 2021, we continue to be impressed by the way AWS communities support one-another across intersecting journeys to expand technical skills. At the center of these communities are impactful leaders who go above and beyond to create educational content and facilitate peer-to-peer knowledge sharing across multiple channels. These passionate builders are called AWS Heroes, and we are humbled by the amazing activities they support on behalf of their communities. Today we are excited to introduce the latest cohort of AWS Heroes: Juan Pan – Beijing, China Data Hero Juan Pan (Trista) is the CTO and Co-Founder of SphereEx. She serves as an…

New – EC2 Instances (G5) with NVIDIA A10G Tensor Core GPUs

Two years ago I told you about the then-new G4 instances, which featured up to eight NVIDIA T4 Tensor Core GPUs. These instances were designed to give you cost-effective GPU power for machine learning inference and graphics-intensive applications. Today I am happy to tell you about the new G5 instances, which feature up to eight NVIDIA A10G Tensor Core GPUs. Powered by second generation AMD EPYC processors, these instances deliver up to 40% better price-performance for inferencing and graphics-intensive operations in comparison to their predecessors. On the GPU side, the A10G GPUs deliver to to 3.3x better ML training performance, up to 3x better ML inferencing performance, and up to 3x better graphics performance, in comparison to the T4 GPUs…

Measure and Improve Your Application Resilience with AWS Resilience Hub

I am excited to announce the immediate availability of AWS Resilience Hub, a new AWS service designed to help you define, track, and manage the resilience of your applications. You are building and managing resilient applications to serve your customers. Building distributed systems is hard; maintaining them in an operational state is even harder. The question is not if a system will fail, but when it will, and you want to be prepared for that. Resilience targets are typically measured by two metrics: Recovery Time Objective (RTO), the time it takes to recover from a failure, and Recovery Point Objective (RPO), the maximum window of time in which data might be lost after an incident. Depending on your business and…