You have a vision for how you want your product to perform; now you just need to put the right tools in place to make it happen. How do you decide where to start? Ian Massingham will break it down.
Other content in this section
A startup and VC perspective on the evolution of Machine Learning Operations, or MLOps.
Early stage startups have many technical decisions to make while pursuing product-market fit. Some technical decisions are reversible, while others are critical junctures with long-term impacts.
No matter the nature of your startup, security is always of primary importance and should be one of the very first things you address. For most startups, your most valuable asset is your data —...
Find out how leading startups achieve fast, efficient, measurable results with machine learning.
A reference guide focusing on managing the data for your machine learning practice — In this e-book, we provide insights and practical guides for the core part of machining learning practice - data pr
To build modern applications, you may need to reconsider your application’s architectural patterns, operational model, and software delivery process. Learn how in this ebook.
Learn how serverless technologies can help you deploy more frequent releases of products and services for faster time-to-market and accelerated revenue growth.
Learn how to extract structured data from documents with speed, flexibility, and accuracy using Amazon Textract.
Learn how leading companies use Amazon SageMaker to improve efficiency, boost productivity, and lower costs.
Find best practices for building an extensible MVP on AWS.
Two factors matter more than anything else when building your MVP: early time-to-market and experimentation. The faster you build it and the more you refine it, the more viable (and impressive) your a
Serverless allows developers to quickly build scalable applications without managing infrastructure. Many build their first serverless application right in the AWS Lambda console. While great for lear
As your startup grows, you develop new application features and services to meet the needs of your customers. To accelerate development, you need architectures that allow fast iteration without rewrit
Data processing is an important part of any web application. Your ability to ingest, process, and act upon data is critical to your go to market strategy. As startups, when planning for data processin
Structured correctly, containerization is a streamlined way to scale your startup and a cost-efficient method for deployment. We’ll show you how to get the most out of AWS container services no matter
Customers are often asking questions about: Are containers secure? Where do threats come from? And what are the AWS approaches to make Containers run securely? In this session, we'll share how AWS des
Many startups that focus on data science and machine learning are deciding to build their own infrastructure, instead of using fully managed services, to maintain the flexibility and leverage the late
Amazon’s Elastic Kubernetes Service (EKS) provides the flexibility to start, run, and scale Kubernetes applications in the AWS cloud or on-premises. Amazon EKS provides the flexibility of open-source
DevOps knows how fast things move and how many services need to coordinate when it comes to shipping code. Meet Proton: the first application delivery service for container-based and serverless applic
We get it: at this point, you want to spend your resources building your app, not your infrastructure. That’s the beauty of AWS Fargate, a serverless compute engine that works seamlessly with other AW