Moving workloads from on-premises data centers to Amazon Web Services is one of the most consequential decisions a technology organization can make. The right cloud migration cuts infrastructure spend while unlocking elastic capacity for your engineering team. A rushed lift-and-shift, on the other hand, can lock you into higher operating costs and technical debt that takes years to unwind.
The articles below cover the full lifecycle of an AWS migration. You’ll find workload assessment and business case development, target architecture design, database migration strategy, application refactoring choices, cutover planning, and post-migration cost optimization. Whether you’re evaluating a first pilot workload or planning a multi-year modernization roadmap, these resources walk through the technical and organizational decisions our team helps clients work through every day.
Stratus10 is an AWS Advanced Consulting Partner with deep experience across the AWS migration toolchain, including Application Migration Service, Database Migration Service, Migration Hub, and the Migration Acceleration Program. If you're planning a migration and want an outside perspective on strategy or a hands-on partner to execute it, our Cloud Migration services team is the fastest way to get a defensible plan grounded in your specific workloads and business context.
The business potential of artificial intelligence has been on the horizon for decades. But many businesses have found AI hard to implement, or to even start imagining. Thanks to some relatively recent breakthroughs, that potential is being realized now.
Small businesses remain acutely exposed to data loss and downtime: 60% close within six months of a significant data-loss event, and downtime costs typically run $8,000–$100,000 per hour depending on company size.
As recently as just a few years ago, business leaders worried about the unknown factors of moving their core applications to the cloud. Factors like not knowing how a particular application might work in the cloud were deterrents to what would have been optimal cloud migration, according to Tech Target. With new attention to performance metrics and understanding how their applications will scale with cloud services, organizations are finding cloud computing companies more attractive all the time.
Cloud migration is no longer new ground; it's standard infrastructure strategy, with most organizations already running workloads in the cloud or actively planning a move. Cost remains a major driver: Flexera's 2026 State of the Cloud Report found cost efficiency is still the most widely cited success metric among cloud teams (81% of organizations), even as more companies now weigh cloud decisions by the business value they deliver rather than cost savings alone.
Data is becoming larger than ever. According to Sagiss, the world’s data will grow by 50X in the next decade. In essence, this means there will be an ever-growing cost for data. What does this means for technology and business leaders? It's increasingly important to manage and control the size, storage, cost, and recovery systems of data in order to run a business with optimized control and minimized costs.
Amazon Web Services (AWS), a dominant force in the realm of cloud networks, surpasses its competitors with its mature and advanced platform. Their current offering ranks high in reliability, with a competitive track record relative to cloud-market peers, Azure and Google Public Cloud. AWS is not only the oldest of the three but also the largest in terms of scale, with their platform currently offering 200+ services and growing.
