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
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!
In this section, we’ll show our audience how to register for and sign into their AWS account as well as install some basic NodeJS development tooling (Sublime text and the NodeJS command-line package), which will be required later in the course.
An introduction to the history of AWS and a high level glance at its core architectural principles and the services on offer.
A comparison of the different EC2 instance types available, and examples of when to use them.
A tutorial on how to create EC2 instances and connect to them.
An introduction to roles and their importance in the context of working with EC2.
Understanding EC2 metadata and how to use it in your application.
An introduction to the Amazon Elastic Load Balancer (ELB) and how to configure it.
An introduction to storage and content delivery on AWS with an overview of S3 and CloudFront.
How to create your first S3 bucket using the console and upload some data to it.
An overview of the different storage options available on S3 and their implications.
How to apply version control to objects in S3, how to leverage it, and when you might want to use it.
Understanding how to apply lifecycling policies to Amazon S3 buckets in order to automatically transition objects between the available storage tiers.
A more detailed overview of CloudFront along with a hands-on example of how to set up your own CDN distribution.
An overview of some more advanced S3 features such as CORS, Bucket Policies, ACLs, and Encryption.
An overview of a very simple NodeJS express app that presents a simple REST API and reads a files contents from S3.
How to wrap our application with a Dockerfile and deploy it to EC2?
A hands-on example of how to add an Elastic Load Balancer in front of our API.
Autoscaling our API automatically across multiple instances in multiple data centers.
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