Rocking AWS Serverless - A Real World Guide

Master the concept of an api through real world examples like restaurant orders, bank balances, and flight deals, understanding api as a clearly defined interface for inter-component communication.

Explore how an API gateway sits between the requester and backend, routing requests to Lambda or databases and enabling authentication, tracing, caching, and stage deployments.

Create and test a post API using AWS serverless lambda, accepting a country in the request body and returning hello from country, with Postman testing and development-stage deployment.

Install Postman, create an account, and learn basic features to call our API gateway using get and post requests, verifying responses like hello world and hello from France.

Explore api gateway components, including method request, integration request, and integration response, and see how the public interface maps status codes, headers, and payload through stages and resources.

Explore how query parameters pass input in get requests, compare get and post data handling, and learn security considerations when using API gateway.

Demonstrate cross account calls by routing an API gateway integration to a lambda function in another account, configure permissions, test invocation, and validate security policies.

Explore lambda versioning and aliases to split API traffic, enabling blue-green deployment, with a hands-on demo showing traffic distribution across versions and an API gateway setup.

Learn how to split API traffic between Lambda versions using an alias in API Gateway by configuring a stage variable, enabling 50/50 routing to different Lambda versions.

Explore canary deployment in API gateway by gradually routing traffic between base and modified lambda versions, starting at 50 percent and promoting to 100 percent after success.

Explore three API Gateway endpoint types—edge optimized, regional, and private—and learn how each design impacts latency, uses edge locations, and restricts access to a VPC.

Learn to create an API in API Gateway, view and change endpoint type after creation using the gear icon or AWS CLI, and note private to edge-optimized can't be changed.

Discover how Swagger describes api structure for machine reading and api as code. Export Swagger from api gateway, generate boilerplate docs, and enable multi-environment reuse via open api standards.

Explore exporting vanilla swagger, API Gateway extensions, and Postman extensions, and see how to import into API Gateway and deploy with Lambda integration.

Discover how cors governs cross-origin requests, distinguish simple vs non-simple, and implement preflight checks and access-control headers in api gateway and lambda to control origins.

Compare REST API and HTTP API, highlighting when HTTP API suits Lambda backends for lower latency and cost, and when REST API is needed for broader AWS service integration.

Explore how to create an http api with lambda integration and proxy mode. Learn get and post methods, default stage deployment, and hello world responses via api gateway.

Purchase a domain in Route 53, issue an ACM certificate via DNS validation, and map an API Gateway custom domain to a Lambda-backed API.

Master how lambda environment variables pass key-value pairs to your function without code changes. They enable dev, stage, and production configurations by reading from the environment, with encryption options.

Discover how lambda environments ship with prepackaged libraries, and install external dependencies like requests via pip or npm so code imports succeed.

Demonstrates an external dependency problem in AWS Lambda by calling a bitcoin price API and showing unable to import module named requests error, then packaging requests with the Lambda code.

Use Visual Studio Code with the AWS toolkit to connect to your account, download and test a lambda, install the requests module inside its folder, and upload the updated code.

Learn how to solve external dependencies for lambda by using Cloud9 to install the requests library inside the lambda package, upload the code, and test the bitcoin price.

Learn how lambda container images enable deploying code and dependencies as a container in elastic container registry, then run your lambda from that image with faster starts.

Discover how lambda layers let you share validation logic across lambda functions, preventing duplication of 10-digit account checks and simplifying deployment with versioned layers.

Demonstrates creating a lambda layer to host a validated account function, packaging as a Python zip, and attaching the layer to create account and get balance lambdas.

Explore how AWS EFS integrates with Lambda to share a durable, elastic file system across multiple functions. See use cases for large files and persistent data.

demonstrates integrating an elastic file system with Lambda, exposing an HTTP API to add, get, and delete messages, while sharing the same FS with Cloud9 via a VPC mount.

Explore the serverless repository to browse lambda code samples, deploy lambdas with a single click, and publish your improvements back to the community.

Code a real-world boto3 workflow in aws lambda that triggers on ec2 state changes via cloudwatch, reads instance tags, stops the instance, and notifies the employee via ses.

Explore how AWS SNS and SQS enable scalable, secure messaging, covering standard and FIFO queues, message filtering, fan-out architectures, dead-letter queues, visibility timeout, and Lambda integration.

Learn how to use SNS message filtering to route loan type messages (home loan, car loan) to specific subscriptions and lambda or email actions, improving cost efficiency.

Explore how EventBridge extends the EventBus paradigm by ingesting SaaS events and routing them to AWS services, enabling event-driven architectures with less code.

Learn to publish to a custom event bus, apply content filtering rules on the payload, and route events to targeted lambdas based on payload fields using EventBridge.

Compare SNS, SQS, and EventBridge across push and pull semantics, routing, schema, replay, and integrations to guide design decisions for real-world serverless apps.

This lecture introduces EventBridge pipes, enabling you to filter and enrich messages from sources like SQS, DynamoDB streams, and Kafka, then route to Lambda or API destinations.

Discover how AWS Step Functions coordinate multiple lambdas via a visual state machine to control flow, looping, and error handling. Learn how tasks and transitions form a plug-and-play, visual workflow.

Compare standard and express AWS step functions, highlighting long-running versus high-volume, low-latency workflows, pricing, execution semantics, auditability, and how to choose and implement them.

Explore the upgraded AWS Step Functions console with templates, sample projects, and one-click step machines, including sequential Lambda calls, parallel and nested workflows, and input-output behavior.

Experience the new visual workflow designer for AWS Step Functions, which lets you design your workflow visually with drag-and-drop actions, lambda invocations, conditionals, and parallel flows without writing JSON.

Explore nested step functions and how to reuse a common workflow across multiple functions, and learn when to synchronize calls using dot sync to ensure dependent steps wait for outputs.

Explore nested step functions in AWS serverless by wiring a synchronized validate account lambda, handling 200 and 400 outputs, and securing access with IAM roles and CloudWatch events.

Explore how AWS Step Functions integrates with services like AWS Batch, using request‑response, sync, and wait-for-callback with task tokens, and activity workers to simplify real-world serverless workflows.

Learn to log and monitor AWS lambda with CloudWatch logs, metrics, and insights. Explore viewing logs, exporting data to S3, streaming to Elasticsearch, and setting alarms for duration and concurrency.

Learn to monitor your api using cloudwatch metrics by inspecting api calls latency, integration latency, and data access on the api gateway dashboard and in cloudwatch.

Explore and filter cloud trail logs in the console, create trails to dump events to an S3 bucket, and route logs to CloudWatch for Lambda and API activity.

Differentiate cloud watch logging from cloud trail logging for api gateway, and summarize execution and access logging with key logs like request payload and who called the API.

Enable CloudWatch logging for API Gateway by creating a push-logs role. Configure execution and access logs for a chosen stage and review requests, responses, and payloads.

Learn how to enable x-ray tracing on api gateway, and read its detailed timing across stages, api calls, and lambda execution, using cloud watch logs and viewable traces for troubleshooting.

Enable basic tracing for a Lambda function using AWS X-Ray in the console. Test function invocations, then view traces and service maps to inspect timing and the flow of calls.

Explore how lambda advanced tracing uses x-ray subsegments to print per-subsegment timings, annotate code, and visualize detailed execution graphs for a real-world news sentiment workflow.

Learn how the AWS CLI powers serverless workflows by managing S3 buckets and Lambda functions from the command line, with setup steps, policies, and practical examples.

Explore two AWS CLI workflows for lambda development: fresh instance with pip versus Cloud9 bash, highlighting automatic 30-minute idle shutdown and cost savings.

Set up the AWS CLI on an EC2 instance, install pip and the CLI on Red Hat Enterprise Linux, then verify Lambda access by listing and invoking functions.

Create a Python lambda from EC2 using the AWS CLI by packaging code and dependencies (like requests) into a zip, then deploy with a basic execution role.

Explore the easy way to use the AWS CLI via Cloud9 to create and package a lambda function, install dependencies, and zip the deployment bundle.

Learn to invoke an AWS Lambda function from the AWS CLI by specifying the function name, output file, and optional payload, illustrated with a hello world example in Cloud9.

Learn to update a lambda function from the AWS CLI using Cloud9, by packaging code into a zip, specifying the function name, and applying update-function-code to reflect changes.

Explore cloud shell as a browser-based AWS CLI environment with up to 1 GB storage, suitable for running simple AWS commands like listing S3 buckets and Lambda functions.

Create a Cloud9 environment in AWS, explore its three panes, and use the built-in AWS CLI and toolkit to download, view, and manage Lambda functions and other resources.

Secure your APIs by enforcing access controls on the API gateway to prevent anonymous calls. Use API keys, usage plans, secrets manager, Lambda authorizer, and API gateway resource policies.

Explore how to configure an API key in AWS API gateway using usage plans, deploying to stages, and enforcing key-based access with the X API key header.

Secure your API using IAM credentials in API Gateway; callers must provide access key and secret access key with an IAM policy, then deploy and test with Postman.

Explore secure API access with Cognito user pools, app clients, and token-based authorizers for API gateway and lambda, comparing to api keys and highlighting token rotation and validation.

Discover how to create a Cognito identity pool in the console, assign roles, and obtain credentials, while understanding trusted authentication providers and pool and app client IDs.

Watch a hands-on demonstration of AWS Secrets Manager, creating and rotating secrets including database credentials and generic key-value secrets, and see Python code to fetch secrets by name and region.

Explore securing an API by applying and testing an AWS Lambda resource policy in AWS, showing how to grant and remove permissions for API gateway calls across accounts.

Configure api gateway with a lambda authorizer using Auth0 as the identity provider, validating the token and mirroring the Cognito flow with two lambdas.

Apply api gateway resource policy to restrict which api methods invoke Lambda, using ip address conditions, principals, and deny or allow rules, including private traffic via vpc.

Demonstrates an API gateway resource policy that restricts access by IP address ranges, deploys the policy, and verifies forbidden responses when requests do not match.

Amazon Inspector now supports lambda scanning, delivering automated vulnerability assessments for lambda functions and layers. Enable scanning in account management, review findings, and trigger remediations via event bridge or sns.

Compare SQL and NoSQL databases by examining relational database management systems with predefined schemas versus schema-flexible data. Understand how acid properties and horizontal scaling influence real-world choices.

Examine lambda concurrency versus traditional database limits, and how auto scaling with dynamo db or aurora solderless prevents bottlenecks by expanding read write capacity.

Create a DynamoDB table with a partition key as the primary key, insert items with nested attributes, and explore basic metrics in the console.

Delete items from a DynamoDB table using a lambda function and a Python script, deleting by personId and validating the result through a quick table refresh.

Explore DynamoDB secondary indexes, global and local, and learn to query by non-primary attributes like genre and album title. Design indexes wisely to balance performance with maintenance costs.

Explore global tables with two-way replication across regions for low-latency reads, automatic traffic shift if a region fails, and seamless global scaling at a modest extra cost.

Explain DynamoDB read consistency and write capacity, comparing eventually and strongly consistent reads. Show how to calculate read and write capacity and configure auto scaling with target utilization.

Demonstrate enabling strongly consistent reads in DynamoDB by using a Lambda to fetch a person by id from a people table and return John's information.

Learn how DynamoDB streams capture near real-time data modification events for inserts, updates, and deletes. Use Lambda to react, enabling cross-table updates, archiving transactions, and data replication.

Enable DynamoDB encryption in the AWS console, compare the default key with CMKs and IAM access controls, and note that upcoming content covers encrypting and decrypting data with CMKs.

Learn to encrypt and decrypt data in lambda using a CMK. Grant role-based access to the CMK and validate end-to-end encryption in your serverless app.

Explore how Aurora Serverless scales with traffic and pauses compute to pay only for storage when idle. The demo covers creating Aurora Serverless, setting min capacity, and connecting via endpoint.

Explore aws serverless project that uses a lambda to fetch news api, analyze sentiment with Amazon Comprehend, store results in DynamoDB, and serve positive, negative, or neutral news via api.

Build a real life serverless app by calling the News API, securing the API key, and using a Python AWS Lambda with Amazon Comprehend to store sentiment in DynamoDB.

Deploy and test a lambda-based news app by installing the requests dependency, creating test events to insert, fetch sentiment, and delete news, and scheduling via CloudWatch events.

Learn to create a CloudWatch scheduled rule that triggers a Lambda every three minutes, wiring it to insert or delete items in DynamoDB and monitor invocations.

Recap of part one shows how Cloud9 supports editing, testing, and deployment. It covers external dependencies like requests and how Dynamo, Lamda, CloudWatch, and Comprehend connect services.

Build a post api using lambda to fetch news by sentiment from a DynamoDB table named Neals, returning the latest 10 items in descending timestamp order.

Create and deploy an API in API Gateway, connect a post method to a Lambda function, test with Postman, and apply API key security on a dev stage.

Secure your API by creating and deploying an API key, associating stages with a plan, and validating requests in Postman to ensure authorized access in production.

Discover how lambda easily integrates with diverse services with minimal code, backed by documentation, while securing with api gateway and cognito user pools, and simplifying deployment, testing, and auto scaling.