Scale reservoir uncertainty analysis with agile reservoir modeling

By Dustin Ward

Turn subsurface uncertainty into decision-ready insight Drilling campaigns are among the most expensive and operationally complex activities in the energy industry. Rigs, crews, equipment, and logistics are scheduled months in advance, leaving little room for delay. Every hour of downtime can carry significant costs. Geoscientists and engineers rely on reservoir models to understand the subsurface…

AWS Continuum for code vulnerabilities is now generally available

By Dustin Ward

Today, we’re announcing the general availability of AWS Continuum for code vulnerabilities. AWS Continuum is a security service that finds and validates code vulnerabilities, then delivers fixes as patches you can automate or as pull requests in your repositories. AWS Continuum for code vulnerabilities confirms which findings are exploitable in your environment, ranks the resulting…

Advancing digital sovereignty with greater control and choice

By Dustin Ward

Across my conversations with leaders in government, critical infrastructure and regulated industries, one priority consistently rises to the top: putting technology to work on their most important systems while maintaining the control those systems require. This challenge is becoming more important as advanced cloud and AI capabilities move into public services, regulated processes and essential…

Introducing Amazon ECS Gateway: A fully-managed ingress solution for ECS services

By Dustin Ward

When platform teams manage containerized applications at scale on Amazon Elastic Container Service (Amazon ECS), configuring ingress networking for each service often becomes a bottleneck. For every new service, teams must provision and connect Application Load Balancers (ALBs), AWS Certificate Manager (ACM) certificates, AWS WAF web ACLs, and security groups, then keep those resources in…

Designing for sovereign AI: A shared foundation from edge to cloud

By Dustin Ward

As organizations apply AI to more business-critical and data-intensive workloads, AI processing is moving closer to where data is created, decisions are made, and operations take place. Manufacturers can analyze confidential production data next to the systems that generate it. Pharmaceutical companies can apply AI to clinical trials within controlled environments. Government agencies can run…