Explore essential cloud migration and modernization strategies. You'll learn:
Why most cloud migrations fail and common pitfalls to avoid
A practical framework for migration and modernization that works across AWS and Azure
In today’s cloud-first world, designing infrastructure that is both secure and cost-efficient is a top priority for any organization building on AWS. Whether you're launching a startup, modernizing legacy systems, or scaling enterprise workloads, getting the architecture right from the start is critical.
Hosting a website typically requires having a server to host it on, and if you need your website to handle a lot of traffic you will need multiple servers. However, if you have a static HTML website that does not require any data storage or dynamic content you can host it on Amazon S3 without having to pay for, or worry about, having any servers. In addition, you can use AWS’ Content Delivery Network, CloudFront, to make sure your website can handle a lot of traffic.
Kubernetes is the default choice for running containers in production. That part isn’t debatable anymore.
What is debatable is how well most teams implement it.
Kubernetes gives you a lot of power. It also gives you a lot of rope. The difference between a clean, stable cluster and a fragile one usually comes down to a handful of operational decisions made early on.
Here are 7 Kubernetes best practices that tend to hold up in real environments.
Contrary to popular belief, application modernization is not the daunting task that it once was. Thanks to a variety of newly advanced services and tools available today, modernizing your applications utilizing containers and serverless infrastructure can be quick, easy, and stress-free. And by taking advantage of cloud migration and modernization tools, companies such as DraftKings, FileForce, and Expedia are experiencing lower costs and higher profits.
Understand the distinct modernization needs of midsize companies and how to identify the best modernization path.
Thanks to rapid advancements creating faster, more reliable computing technologies, many companies are veering away from traditional on-premise databases to cloud-based servers. For those considering migrating their Microsoft SQL Server databases to the cloud, the Amazon Web Services (AWS) cloud infrastructure remains the go-to hosting service.
Credit Unions are facing the era of digital acceleration with unique requirements that can better scale their company and customer experience. AWS is best positioned to offer a tailored solution because of its long-standing experience working with financial services companies and public sector organizations.
AWS machine learning and other AI services enable a variety of features in the modern edtech ecosystem. Educators can customize each user’s path through coursework, predict when knowledge gaps may occur, seamlessly scale content to millions of users; and beyond. By focusing on improving the learning experience and driving data-backed decisions with AWS, Edtech is better prepared to improve learning for all.
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.
