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Wilson Mar

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Achieve performance engineering and testing at the end of every sprint

Overview

Valuable Insights

Get hands-on experience with continuos integration using the latest versions of the most popular DevSecOps tools, all working together, end-to-end, in a set of servers participants control.

Only this course provides participants a full set of several cloud-based servers to work on live during the class. This is an opportunity few get even with on-the-job experience.

See how the 21 groups of DevOps technologies work together in a complete toolchain that builds and deploy software: AWS CLI, Git, GitHub/GitLab, Maven/Yarn, Nexus, Jenkins/Cloudbees, Vault, SonarQube, Selenium, Terraform.

Commentary during this “guided tour” include tips and tricks for moving organizations to the end-state shown – for deep insight into both benefits and challenges related to agile automation in DevSecOps.

The “Sec” part of “DevSecOps” means security, which include scans of code for vulnerabilities, use of digital certificates to control access, and tools to manage secrets using secure vaults.

To ensure quality at speed, Agile software developers are increasingly required to include in each sprint automated performance status in their System Demo presentations.

The traditional approach of performance testing only before final release to production means that potentially major risks and technical debt can remain hidden. Here is how organizations make performance testing and engineering “shift-left” earlier in the software development lifecycle.

VIDEO: https://youtu.be/ZG073qSgh_0

Who Should Attend

This course is for anyone new to DevSecOps but experienced with information technology and software development. No specific prerequisites are assumed, and new technical concepts are explained. Executives, directors, managers, product owners, analysts, testers, programmers can all benefit from this first-hand experience.

Editions of the course

There are several editions of this class, of different length:

  • The half-day introduction provides an understanding of key DevSecOps buzzwords and concepts possible only from seeing the various tools all working together. Participants pull from then push to GitHub, edit files, and see first-hand programs built and software tested automatically. Participants leave with an understanding of the meaning behind buzzwords and abbreviations in DevSecOps.

  • The full-day experience has you generating both application code and the whole DevOps toolchain for an architecture that automatically scales. You then re-build the whole setup after making configuration changes. Participants leave with an ability to identify DevSecOps toolchain components and usage workflow and have an appreciation for some of the subtleties about each technology.

  • The two-day immersion enables you to see code moving through multiple environments from development servers to production clusters – crucial for working in corporate enterprises. Participants see a live “blue/green” deployment and fall-back. Participants leave with a visceral understanding of both the advantages and limitations modern DevSecOps offers.

Course Outline

Overview

Toolchain components
Alternatives
Example: Maven vs. Yarn
Workflows

Repositories

GitHub/GitLab source repository
Maven/Yarn package repository
Nexus binary repository
SonarQube status repository
CMDB server repository
DNS (Domain Name System)
CDN for files around the world
Application SQL databases
Liquibase database schema changelogs
NoSQL databases
Time-series databases

Generate application

Programming Languages (Java)
Java Frameworks: Spring Boot
JHipster
Angular

Build and Release

Login GitHub/GitLab
Release when ready
Login Jenkins/Salt/Travis/CirclCI/TeamCity
Maven/Yarn/Ant/Gradle/Gulp

Virtualization

Docker images vs. Vagrant
AWS HVM machine images
OpenStack LXC

Security

SonarQube code scan run reports
Hashicorp Vault
Penetration testing

Scalable orchestration

Hashicorp Packer
NetflixOSS
Hashicorp Consul
Blue/Green deployment
Failover test run
Google Kubernetes
Puppet Zookeeper/Noah/Mesos

REST API

Testing services

Terminal CLI
BrowserSync
Browser inspect debugger
Mock services
Jenkins/Cloudbees
JUnit
Selenium
Fitnesse
Cucumber

Monitoring

Zipkin tracing
ELK stack vs. Tick stack
Elsticsearch vs. InfluxDB
Logstash vs. Telegraf
Kibana vs Graphana

Learning Resources

http://automationtoolsbootcamp.com

More on DevOps

This is one of a series on DevOps:

  1. DevOps_2.0
  2. ci-cd (Continuous Integration and Continuous Delivery)
  3. User Stories for DevOps

  4. Git and GitHub vs File Archival
  5. Git Commands and Statuses
  6. Git Commit, Tag, Push
  7. Git Utilities
  8. Data Security GitHub
  9. GitHub API
  10. TFS vs. GitHub

  11. Choices for DevOps Technologies
  12. Java DevOps Workflow
  13. AWS DevOps (CodeCommit, CodePipeline, CodeDeploy)
  14. AWS server deployment options

  15. Digital Ocean
  16. Cloud regions
  17. AWS Virtual Private Cloud
  18. Azure Cloud Onramp
  19. Azure Cloud
  20. Azure Cloud Powershell

  21. Packer automation to build Vagrant images
  22. Terraform multi-cloud provisioning automation

  23. Powershell Ecosystem
  24. Powershell on MacOS
  25. Powershell Desired System Configuration

  26. Jenkins Server Setup
  27. Jenkins Plug-ins
  28. Jenkins Freestyle jobs
  29. Jenkins2 Pipeline jobs using Groovy code in Jenkinsfile

  30. Dockerize apps
  31. Docker Setup
  32. Docker Build

  33. Maven on MacOSX

  34. Ansible

  35. MySQL Setup

  36. SonarQube static code scan

  37. API Management Microsoft
  38. API Management Amazon

  39. Scenarios for load