AWS Bootcamp - Autoscaling Applications In The Cloud

Build secure and sophisticated applications with AWS Bootcamp

This video course will show you how to get started with some of the powerful and exciting core technologies available on AWS, including Identity Access Management (IAM), enabling you to fully manage user information and privilege service on your virtual network environment. This video will teach you Elastic Compute Cloud (EC2), offering you nearly infinite flexible compute power in the cloud, with bespoke virtualized, compute options including database optimized instances, GPU instances, and FPGA instances, and Simple Storage Service (S3), allowing you to store a nearly unlimited number of files in a low-cost object store. Amazon's Elastic Load Balancer (ELB) gives you a fully managed application load balancing service, similar to NGINX and HAPROXY, but fine-tuned for the Amazon environment allowing you to manage your traffic. The course will end by your writing, running, and automatically load-balancing a Node.JS-based web API, making use of all of these fully managed services and resulting in a fully functionally, fault–tolerant, next-generation web scale application.

About The Author

• Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas like big data, data science, machine learning, and cloud computing. Over the past few years they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to make better sense of their data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action. 
• James Cross is a Big Data Engineer and certified AWS Solutions Architect with a passion for data-driven applications. He's spent the last 3-5 years helping his clients to design and implement huge-scale, streaming big data platforms, Cloud-based analytics stacks, and serverless architectures.
• He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the big data space. Since then he's worked with a huge range of Big Data tools including most of the Hadoop eco-system, Spark, and many No-SQL technologies such as Cassandra, MongoDB, Redis, and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey. James is an AWS certified solutions architect with several years' experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of API's and analytics stacks based around Lambda and Redshift. He is interested in almost anything that has to do with technology. He has worked with everything from WordPress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it's new and solves a problem in an innovative way he's keen to give it a go!