The Serverless framework is a toolkit for deploying and operating serverless applications. Focus on code, not infrastructure!

Learn how you can get started building scalable applications with the Serverless framework and AWS Lambda through a total of 8 hands-on chapters.

In serverless architectures, tasks tend to be asynchronous, stateless, and ephemeral.

Simple but usable primitives and the ubiquity of events leads to the adoption of new, serverless design patterns.

Learn how you can make use of the strengths of serverless by applying event-driven data processing, fanout, serverless web applications, and complex workflows with distributed sagas.

Authentication determines a client's identity - is the user who they claim to be? Clients present a set of credentials, which may be valid or invalid. Typically, a user verifies their identity with their username and password.

Authorization determines what a client is allowed to do. Clients may have presented valid authentication credentials, but they might not have sufficient privileges to perform an action. Each user has a different set of permissions, which limits what they can and cannot do.

Learn how you can secure your serverless functions with JSON Web Tokens and AWS Custom Authorizers.

In addition, learn how to manage application secrets with AWS Key Management Service.

In distributed systems, business transactions spanning multiple services require a mechanism to ensure data consistency across services. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.

However, it becomes a challenge when you to coordinate multiple components to accomplish a single task.

Learn how you can orchestrate complex workflows with the distributed saga pattern and AWS Step Functions.

Delegating the task of managing infrastructure and provisioning compute capacity to capable hands means that your infrastructure is less likely to fail.

However, this does not completely eliminate the possiblity of errors in your application's business logic.

Learn how you can detect, store, and take action on errors within your serverless functions using dead letter queues.

Unlike traditional applications, in serverless you can't ssh into an instance to debug an issue. The execution environment is outside your control.

Thus, having visibility over the health of your functions is paramount in serverless architectures.

Learn how you can keep track of function metrics and create alarms that notify you when something's wrong.