Serverless Architecture Boot Camp Classroom Live Seattle, WA January 23, 2020

Price: $1,900

This course runs for a duration of 2 days.

The class will run daily from 8:30 am PST to 4:30 pm PST.

Class Location: Seattle - Seattle, WA.

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This course prepares you to implement serverless environments fully, or simply experiment with serverless engineering patterns so you can evaluate the benefits for yourself.

It's been estimated that somewhere between 50-80% of the time and money you spend building, deploying, and maintaining applications on-premise is spent on "undifferentiated heavy lifting" – the provisioning, maintenance, and hardware refreshes of underlying servers, routers, load balancers, and disk drives. Only by jettisoning these outdated practices can you realize the full cost savings and agility potential of the cloud. Serverless practices make provisioning and modification of resources as simple as a few minutes or few seconds of effort, and by providing auto-scaling, auto-rebalancing, HA and DR out of the box, serverless architectures allow your team to spend nearly 100% of their efforts on tasks that really move the needle for your business -- building new products and features that customers and users will love.             

Get hands-on practice and go back to work ready to immediately apply or improve your own serverless architecture patterns, as well as communicating with management about their benefits.

This class is designed to be a practical workshop which goes beyond concepts and gives you tangible engineering skills you can apply in your own IT organization. Much of the class is spent in our enterprise lab environment, giving you hands-on practice with the tools and technologies behind serverless architecture. Guided by a senior engineering instructor, you’ll have the opportunity to tinker and test in a safe classroom environment so you can learn what’s really applicable to your own teams.

  • Design use cases and business benefits that are attainable using serverless architecture
  • Articulate the value of serverless architectures and how they fit into related architectural patterns of today’s world, such as microservices, cloud, PaaS, etc.
  • Comprehensively understand individual serverless components (both in and out of AWS)
  • Use at least 4-5 disparate architectures which use serverless components for every aspect of the architecture
  • Decide how, when, and where to deploy serverless components in architectures of your own
  • Apply best practices around implementation, debugging, logging, scaling, security, and cost management for serverless components.
  • Understand the differentiators, benefits and possibilities that serverless architectures open up
  • Navigate and communicate the different types of serverless components (networking, compute, storage, etc.)
  • Design and apply effective security models for serverless (at both a management/process level as well as using individual AWS-specific components)
  • Apply use cases in which DevOps and microservices both play integral roles in the development and maintenance of serverless stacks

Who Should Attend:

  • Anyone in an IT Leadership role
  • System architects
  • Developers and programmers
  • System administrators
  • DevOps practitioners
  • IT Operations Staff
  • Line Managers responsible for the above resources who would like a better understanding of the technical components and considerations in serverless architectures

Course Overview

  1. Introduction, benefits, and possibilities
  2. A review of compelling, modern use cases
  3. Categories of "serverless" architecture patterns
    • Compute
    • CDN
    • Storage
    • Database
    • Messaging/Streaming
    • Networking via SDN
    • Analytics
    • DevOps tool chaining
    • Event handlers)

Lab #1: Cost-benefit analysis for serverless adoption – Calculate costs of EC2 vs Lambda-backed web services, and discuss as a class the tradeoffs associated with this type of use case.

  1. Comparing the major solutions (AWS, GCP, Azure, IBM)
  2. CAP Theorem and "eventual consistency"
  3. Security and Tagging (AWS IAM and tags)

Lab #2: Access control with tags – We will immediately prioritize security in serverless environments and will continue to do so throughout the rest of class. In this exercise, you will walk through best practices for access control, and use tags to tie access control to security policy.

  1. Building RESTFul interfaces to Lambda
    • Lambda capabilities and using Lambda
    • Setting up and using API gateways
    • Best practices for APIs
    • Putting it all together
  2. Reference architecture walkthroughs
    • 3 tier web app
    • Big data processing
    • Content delivery
    • IoT
    • Mobile Applications
  3. Serverless Analytics
    • Kinesis
    • Athena
    • Step Functions

Lab #3: Use Athena to analyze ELB logs – One of the most immediate sources of value and cost savings associated with serverless patterns is automatically understanding and managing the load. In this exercise, we will use AWS Athena to demonstrate a few of the simplest techniques for doing so.

  1. Functional Programming Core Concepts
  2. Serverless compute
    • Lambda
    • Lambda@Edge
    • Other services
    • Applying features & functionality of Lambda and Lambda-like tools
  3. Compare / contrast Python, Java, .NET, Node

Lab #4: Create and call your first Lambda function – This exercise will have us working like functional programmers.  Depending on needs of the class, we’ll use lab examples in Python, Java, .NET and/or Node.

  1. Advanced Lambda
    • Testing [local and remote]
    • Step functions
    • Logging
    • Debugging
    • Versioning

Lab #5: Debugging Lambda function, rolling back, calling disparate versions

  1. Serverless CDN and DNS (use cases, features)
  2. Serverless ETL with AWS Glue
  3. Serverless Object Storage with S3
    • Overview and purpose
    • Most applicable use cases
    • Features
  4. Event-driven Architectures

Lab #6: Real-time event-driven data analytics on S3 data load – We’ll create a production load exercise and run an analytics solution using real-time triggers and a realistic data environment.

  1. Serverless Datastores
    • DynamoDB
    • AWS Neptune
  2. More security concerns
    • Connectivity options
    • Secrets management
    • Temporary credentials
    • Mobile federation
  3. Serverless Messaging
    • Benefits of SOA
    • Applying SM to microservice architectures

Lab #7: Using SQS and SNS for batch processing

  1. Serverless Streaming
    • The business case for serverless streaming
    • Benefits and goals
    • Realistic use cases
  2. Serverless Networking via SDN
    • Use cases for SDN
    • Benefits and goals
    • Features and common hurdles

Lab #8: Using AWS VPC, ELB, DNS

  1. Serverless DevOps
    • Benefits and goals
    • What’s practical to expect
    • Use cases and sniff tests
    • Typical features
    • Example feature life cycles


In order to get the most out of this workshop, participants should come to class with:

  • Some familiarity with a public cloud offering (either a previous “cloud concepts” class or at least 3-6 months hands-on with a major provider like AWS)
  • A good understanding of system architectures behind web, mobile, and/or big data stacks
  • Some programming experience with a major language like Python, Java, .Net, or NodeJS

Other Available Dates for this Course

Classroom Live
September 23, 2020

Madison, WI
2 days    8:30 am CST - 4:30 pm CST
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Virtual Classroom Live
September 23, 2020

2 days    8:30 am CST - 4:30 pm CST
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Classroom Live
November 18, 2020

Boston, MA
2 days    8:30 am EST - 4:30 pm EST
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Virtual Classroom Live
November 18, 2020

2 days    8:30 am EST - 4:30 pm EST
view class details and enroll