
Discover serverless architecture and cloud services, highlighting cost efficiency, scalability, security, and high availability for dev, test, and production, and learn to implement apps with AWS Lambda and Aurora.
Learn how to become an online instructor by turning experience into high-quality tech courses through feedback-driven improvements, better narration, and improved production quality that boosts learner engagement.
Discover how serverless architecture works, guided by a three-tier case study with AWS Lambda and AWS Aurora, featuring automatic scaling and practical architectural patterns.
Learn what serverless architecture is, explore real-time use cases, and gain hands-on experience with serverless services and end-to-end components to implement end-to-end applications.
Explore the benefits of a serverless architecture, including cost effectiveness through on-demand compute, cloud-agnostic deployment, rapid scalability, high availability, and agile development with easy continuous integration and deployment.
Download resources for this AWS masterclass and learn more by visiting the link mentioned in the caption. Explore serverless concepts with AWS Lambda and Aurora through the accompanying materials.
Netflix and other major customers use this architecture for scalable cloud-native microservices with lambda and api gateway. Blissfully and BMC show serverless lowers costs and boosts reliability for SaaS apps.
Navigate the AWS console to explore serverless services such as DynamoDB and Aurora, understand how compute and storage separate for databases, and review read/write capacity units and pricing.
Recap the introduction and demonstrate how to create an application using list components to display available services.
Explore module two of the architecture release and learn how to implement the case study for the application.
Learn to deploy a simple three-tier application with serverless components, front-end presentation, a Python or other backend, and a MySQL database using AWS Lambda and API Gateway.
Build an astronaut database app that stores id, name, age, location, and interests, with options to update and retrieve astronaut information using Python Flask on AWS Lambda and AWS Aurora.
Explore module three and its edible surveillance architecture, surveying how various services fit within a freedom-oriented paradigm.
Discover how simple storage service and lambda enable serverless computing, and how storage services can be used to host a static web.
Understand what aws lambda is and how to use it for serverless compute and website hosting. See how it charges only for the execution time during a live demo.
Explore AWS S3, an object storage service for binary objects, enabling static website hosting, backups, and developer control via API, alongside EBS and EFS file-level solutions.
Explore the AWS S3 console to learn how buckets act as top-level containers for objects, with DNS-compliant names in a region and basic settings like versioning and hosting.
Learn how S3 buckets store binary objects, upload files via drag-and-drop or console, and how object keys, folders, and permissions shape public access.
Explore aws s3 objects concepts like buckets, object keys, and access controls. Learn how versioning, storage classes, encryption, lifecycle management, and static website hosting work.
Explore how static website hosting on a bucket uses an index document to route pages, with folders like electronics and television and phone, and enforce public read access for endpoints.
Host a simple astronaut database front end as static web pages on S3 buckets. Enable get astronaut information and update database operations through a backend service, with optional image uploads.
Explore how serverless AWS lambda front-end flows use get and post methods to update databases, with static website hosting and endpoints for astronaut information and restaurant info.
Discover how AWS Lambda powers serverless computing by running code on demand, enabling auto scaling and reduced costs behind static websites.
Explore how the AWS Lambda runtime uses a handler as the entry point to execute code, pass data via environment variables, configure memory and timeout, and monitor with CloudWatch.
Explore AWS Lambda features from console navigation and function creation to runtimes, IAM roles, triggers, and code deployment options (inline editor, ZIP, or S3) with API gateway.
Explore how AWS Lambda execution environment powers serverless compute with Amazon Linux, Python and Java runtimes, built-in environment variables, deployment packages, and the role of context and event.
Learn to create and upload a deployment package for AWS Lambda, including installing dependencies such as flask in the package, zipping correctly, and configuring the handler.
Develop a three-tier application using Lambda with Python, and integrate API Gateway to manage data flow, while preparing code for a Twitter application.
Explore serverless foundations with AWS Lambda and frontend hosting, covering deployment packages, memory and environment variables, VPC options, and event-driven data flow from frontend to backend via API Gateway.
Explore serverless architecture with AWS Lambda and AWS Aurora, learn what Aurora offers as a relational database service, and see how API Gateway connects Lambda to host APIs behind service.
Discover how Amazon Aurora provides serverless, managed relational databases by separating compute from storage, removing maintenance and administration, and offering MySQL or PostgreSQL compatibility with on-demand compute.
Explore how Amazon RDS and Aurora support MySQL workloads with multi-AZ deployments, subnet groups, backups, monitoring, and licensing options in a VPC.
Learn to manage a database instance via its endpoint and connect with a MySQL client or Python. Explore security groups, VPC, replication, standby zones, and Lambda deployments.
Learn to migrate a mysql-based app to aurora serverless, configure environment variables, and connect from ec2 or lambda, while understanding auto-scaling, endpoints, and seamless code migration.
Transform a local program into an AWS lambda function by packaging it as deployment zip, defining the event and context, and running in the same VPC as the Aurora cluster.
In this recap, we review connecting a static website with Lambda and Aurora Serverless, and plan using API gateway to trigger Lambda for database updates.
Discover how AWS API Gateway pairs with Lambda to expose scalable API endpoints, enabling serverless access to Aurora data and backend functionality without managing servers.
See how the API gateway acts as a serverless gateway that routes requests to lambda functions and other data services, enabling RESTful APIs with deployment stages and endpoints.
Build a serverless backend with gateway and Lambda: create resources and methods, deploy to a stage, and map integration requests and responses to expose a working endpoint.
Learn how api gateway method requests map to lambda via integration and mapping templates, using astronaut_id as a query parameter, and deploy the dev-stage endpoint for testing.
Recap summarizes how we connected API gateway to an Aurora serverless backend, integrated with Lambda for data processing, and mapped front-end requests to Lambda functions.
Wrap up the case study by wiring static hosting, lambda-backed backend, aurora database, and api gateway, featuring a get astronaut info endpoint with query parameter parsing and frontend integration.
Explore building a basic serverless twitter-like app end to end using API gateway, two lambda functions (get and add), and a hosted database with static pages.
Demonstrates a complete serverless stack with aws lambda and aurora serverless rds, exposing api gateway endpoints to add and fetch astronauts from an S3 hosted frontend.
Recap the module by reviewing how to build a serverless stack with AWS Lambda, API Gateway, and Aurora Serverless, including static website hosting, staging resources, and mapping templates.
Discover a bonus lecture that shares additional educational resources and courses from Tetra Tutorials, offers an exclusive discount, and invites you to subscribe to the newsletter and provide feedback.
The next big thing in Cloud computing is Serverless architecture.
So what is this Serverless computing architecture?
Traditionally the applications are developed and deployed in servers. Apart from coding, the developer should also look into pre-deployment checks such as storage allocation, and server maintenance.
With Serverless computing, the code execution is entirely managed by the cloud provider. Developers can concentrate on the coding part, and the cloud provider takes care of managing, provisioning and maintaining servers for the code deployment.
Serverless architecture has an automatic scaling feature which helps to reduce the computing and operational costs. Serverless doesn’t require containerization, developers or programmers will write code in the vendor console.
AWS Lambda is a front runner in serverless computing services. Even companies like Netflix, Codepen, Zalora, Coca-Cola, and Nordstrom have embraced AWS serverless.
There is no wonder why there is an increased demand for developers with AWS Lambda skills.
According to Indeed jobs listings, Average salary of developers with AWS Lambda skills is $121,481.
That's why today, we are thrilled to be able to share with you our new training program "AWS MasterClass: Go Serverless with AWS Lambda and Amazon Aurora.”
What does the AWS Serverless course offer to you?
1. You will learn AWS Simple Storage Service, its features. How to host a static website (in HTML) using S3.
2. Learn about the basics of API Gateway. How to map URL query strings to variables in backend programs in Lambda and how to use mapping templates in API Gateway.
3. You will learn how to provision and use AWS RDS (MySQL). How to connect to RDS MySQL using a database client from EC2 and your own laptop.
4. You will learn how to provision and use AWS Aurora Serverless Database and connect to it from EC2 instance.
5. You will learn what is a Lambda function. How to host backend in Lambda using Python programming language. You will also learn various features of Lambda and connect to Aurora Serverless database from Lambda Function.
6. For better understanding, you will go through an actual demo of a 3-tier application. Front end tier would be hosted on S3 using HTML. Backend application will be executed using Lambda function, front-end requests would be directed to backend application using AWS API Gateway. DB tier would be hosted on Aurora Serverless. Finally, how to stitch all these components together.
What Sets Us Apart?
Complete beginner to expert skills – This course does not assume any expertise in the Serverless architecture. We give you step by step instructions, and in fact, we hand hold you through all the exercises together with you.
Practical demo tutorials – Where most courses bombard you with dense theory and set you on your way, we believe in developing a deep understanding of not only what you’re doing, but why you’re doing it. That’s why we focus on building up your understanding for infinitely better results down the line.
I am not an engineer; will this course still benefit me?
Whether you are a start-up founder, a product manager or a project manager - it is quite likely that your organization is already using or will be using these technologies. You might not be interested in learning about new technologies. Well, we don’t blame you for that. But whether you like it or not, any business relies on updating the new technology to survive.
Is your IT career on the right track?
Well, if you invest your time and bring an eagerness to learn, we guarantee you real, actionable education at a fraction of the cost you can demand as an IT engineer or consultant. We are confident your investment will come back to you in no time.
So, if you're ready to make a change and learn how to go serverless, click the "Add to Cart" button below.
What are you waiting for? Click the “Add to Cart” button below and get started today with our course “AWS MasterClass: Go Serverless with AWS Lambda and Amazon Aurora.”
Let’s do this together!