Author: AWS Editorial Team

Data needs to live somewhere. Whether for ETL solutions, data cataloging, or advanced analytics, data needs to be stored safely and accessibly. In the seventh installment of The Startup Guide to AWS Services free video series, AWS Startup Solutions Architect Zoish Pithawala discusses how to form an ecosystem where data is mobile, agile, and secure.

Today, we’re recapping our time at AWS Summit Atlanta, and if you weren’t able to attend, we have a some behind-the-scenes look at what you missed. We heard from experts in AI/ML, Analytics, Business Intelligence, IoT, Databases, and more who connected and networked with industry peers to help them take advantage of the latest AWS solutions. See an AWS Summit through our eyes, and then register to attend the next event near you.

This installment of The Startup Guide to AWS Services video series, covers AWS compute models and the advantages of serverless architecture. While outlining the various operational models, Principal Startup Solutions Architect Igor Geyfman identifies which tasks AWS manages and which are up to the startup.

In April, we announced a 3-year, $30 million commitment to the AWS Impact Accelerator, a series of programs is designed to help high-potential, pre-seed startups led by underrepresented founders succeed. We also launched the first of these programs, the AWS Impact Accelerator for Black Founders, and today we’re excited to announce the startups that will make up this inaugural cohort. Meet the startups, and learn more about this exciting opportunity.

When time and resources are often stretched as far as they can go, and various branches of the infrastructure need to communicate, AWS can help startup founders and developers bridge the gap through Data insights to uncover customer needs. When paired with automation and machine learning, these services can put startups on a growth superhighway.

This month we’re hosting six in-person events for startups looking to optimize their product for better PMF and understand how to build to MVP. There’s no need to be a current AWS customer, any startup can attend!

Each month, the AWS Startups blog is packed with announcements, resources, stories, and videos. Let’s get caught up on anything that you might have missed in May.

Build. Test. Deploy. Troubleshoot. Then do it all again. For a startup trying to build and deploy an application, the process can seem endless. Luckily, automation and cloud-based resources can streamline the process.

Running a business is hard work, with a lot of moving parts. Startup founders have had to build, deploy, secure, scale, manage, and monitor their software products all while controlling operational costs. This installment of The Startup Guide to AWS Services video series matches services to situations to streamline the development process to develop and deploy an MVP fast.

While Machine Learning can get quite complex, you don’t need a team of expensive Data Scientists and ML Engineers to gain real value from it. Check out our upcoming Twitch series for hands-on training with our AWS ML experts, and work through a variety of typical startup use cases from generating personalized customer recommendations to improving marketing efficiency.