[NEW V2] AWS Lambda & Serverless Architecture Bootcamp 2025

Explore how AWS lambda powers serverless apps by running stateless, on-demand functions in response to events from S3, DynamoDB, or API gateway.

Discover lambda event sources and invocation types, including api gateway, s3, dynamodb streams, kinesis, sns, and sqs. Learn synchronous, asynchronous, and event source mapping invocations and function URLs for access.

Explore how Lambda uses event objects, the context object, and environment variables to adapt runtime behavior, access resources, and securely configure keys across environments.

Explore logging, tracing, and robust error handling in AWS Lambda, using CloudWatch, X-ray, structured JSON logs, retries, dead letter queues, and destinations to monitor and recover from failures.

Explore lambda concurrency, execution environments, throttling, the 1000 regional limit, reserved and provisioned concurrency to balance latency, cold starts, and cost for scalable performance.

Manage lambda functions with versions and aliases to enable safe rollbacks, staged deployments, and environment-specific routing. Use dollar latest for ongoing updates and blue-green deployments to minimize downtime.

Run lambda in a vpc to securely access rds, redshift, and efs via enis in private subnets, using security groups and nat gateways or vpc endpoints, while noting cold-start latency.

Harness dynamic lambda handlers to route requests by event action, enabling a single function to invoke other lambdas or log messages, with validation and modular design.

Deploy lambda functions as container images to enable custom runtimes, libraries, and large deployment packages beyond zip limits, using docker and official lambda base images.

Learn how lambda layers package and share libraries across multiple functions, reducing deployment size and simplifying updates. Attach the layer to a function to load dependencies like Axios from /opt.

Explore AWS Lambda limits, including 15-minute timeouts, memory sizing, 10 GB tmp, payload caps (6 MB synchronous, 256 KB async), concurrency of 1000, package sizes, layers, and env variable limits.

Turbocharge lambda performance and cut costs by tuning memory with AWS Lambda Power Tuning, boosting observability with power tools and profiling options like Codeguru profiler, Datadog, and Grafana gyroscope extension.

Explore Amazon API Gateway, a managed serverless service for scalable REST, HTTP, and WebSocket APIs; connect front ends with Lambda, DynamoDB, and S3 while managing resources, endpoints, stages, and CORS.

Explore request validation and body mapping in API gateway. Validate query parameters, headers, and body; use Velocity Template Language to transform data for backend compatibility and lean responses.

Explore error handling in api gateway, distinguish forex errors (client side) from fivex errors (server side), and customize responses with velocity template language to provide structured feedback.

Learn to craft clear API documentation that describes endpoints, parameters, requests, responses, and authentication; integrate OpenAPI definitions with API gateway for consistent, auto-generated docs.

Learn how API gateway stage variables and canary deployments manage environment-specific behavior, enabling gradual 10% traffic canary rollouts for safe production testing.

Explore API gateway access control options, including API keys linked to usage plans, resource policies with IAM permissions, CORS, and client certificates for mutual TLS to secure scalable APIs.

Master authentication and authorization in API gateway with Sigv4, Cognito, and Lambda authorizers, and apply appropriate usage plans, tokens, and identity pools for secure access.

Discover why purpose-built databases matter in AWS cloud architectures and how to choose the right database for the right job based on workload, latency, and data needs.

Compare relational databases with ACID and SQL for OLTP/OLAP to NoSQL's flexible BASE model. Identify data types—structured, semi-structured, unstructured—and note AWS options like RDS, Aurora, Redshift, DynamoDB, DocumentDB.

Explore DynamoDB’s single-digit millisecond performance as a fully managed serverless NoSQL database. Understand primary keys, tables, and ACID transactions, plus features like global tables and DAX for scalable data.

Master DynamoDB pricing and capacity options, including provisioned capacity with auto scaling and on-demand mode, and learn to calculate RCUs and WCUs, manage burst and adaptive capacity, and optimize costs.

Explore DynamoDB indexes from local secondary indexes to global secondary indexes, their differences, limitations, projection options, and how to choose the right indexing strategy for scalable, efficient queries.

Discover DynamoDB scaling options, including manual provisioned-capacity adjustments and auto scaling. See how partitions and throughput change with scale actions and how burst or adaptive capacity buffers help.

Discover real-world DynamoDB design patterns for 1-to-1, 1-to-many, and many-to-many relationships, plus techniques for large objects with s3, and metadata indexing with lambda and global secondary indexes.

Master DynamoDB best practices: avoid hot partitions with efficient partition keys and right sharding, plan query patterns, and choose appropriate indexes for cost-effective performance.

Explore how DynamoDB backups secure data with on-demand and continuous point-in-time recovery. Learn cross-region restore, encryption, and AWS Backup integration for automated protection.

DynamoDB encrypts data at rest by default with AES-256 using AWS KMS keys and secures data in transit with TLS; optionally use client-side encryption for end-to-end protection of selected values.

Leverage DynamoDB streams for a 24-hour log of changes, TTL for automatic item expiry, and global tables for multi-master cross-region replication with near real-time latency.

Implement fine grained access control in DynamoDB with IAM policies and condition keys, and use web identity federation with providers like Google, Facebook, or Amazon to obtain temporary credentials.

Explore DynamoDB accelerator (DAX) as an in-memory cache between your application and DynamoDB, delivering microsecond read latency, reducing read load, and lowering costs with item and query caches.

Explore Amazon EventBridge, a serverless event bus that connects AWS services, third-party SaaS, and custom apps to route events in real-time with schema registry, scheduler, and pipes.

Amazon SQS and SNS enable serverless, scalable messaging with queueing and topics, decoupling components and delivering reliably for real-world use cases like e-commerce workflows and microservices.

Explore Amazon Kinesis for real time data processing with millisecond latency using data streams and firehose, plus Lambda integration and on-the-fly transformations and stream replay to enrich data.

Coordinate tasks across AWS services with Step Functions, building serverless visual workflows defined in ASL, featuring states like task, wait, choice, parallel, map, and retry.

Explore how AWS Step Functions manage data flow with input path, result path, and output path, while handling errors with retries and catch in parallel, branching, and file processing.

Explore proven serverless architecture patterns that enable scalable, cost-effective applications. Implement API gateway, Lambda, and DynamoDB with the web services pattern; use queues, event-driven routing, and caching layers for resilience.

Explore AWS serverless best practices: optimize memory and timeouts, enable provisioned concurrency, secure secrets, implement structured logging, and design resilient Lambda, API gateway, DynamoDB, and Step Functions for real-world projects.

Explore telemetry and observability with metrics, logs, and traces to understand applications and infrastructure. See how CloudWatch, Prometheus, Grafana, and the Elk stack enable monitoring and alerts.