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Achieve performance engineering and testing at the end of every sprint


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


Toolchain components
Example: Maven vs. Yarn


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

Build and Release

Login GitHub/GitLab
Release when ready
Login Jenkins/Salt/Travis/CirclCI/TeamCity


Docker images vs. Vagrant
AWS HVM machine images
OpenStack LXC


SonarQube code scan run reports
Hashicorp Vault
Penetration testing

Scalable orchestration

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


Testing services

Terminal CLI
Browser inspect debugger
Mock services


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

Learning Resources


More on DevSecOps

This is one of a series on DevSecOps:

  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. Cloud regions
  16. AWS Virtual Private Cloud
  17. Azure Cloud Onramp
  18. Azure Cloud
  19. Azure Cloud Powershell
  20. Bash Windows using Microsoft’s WSL (Windows Subystem for Linux)

  21. Digital Ocean
  22. Cloud Foundry

  23. Packer automation to build Vagrant images
  24. Terraform multi-cloud provisioning automation

  25. Powershell Ecosystem
  26. Powershell on MacOS
  27. Powershell Desired System Configuration

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

  32. Dockerize apps
  33. Docker Setup
  34. Docker Build

  35. Maven on MacOSX

  36. Ansible

  37. MySQL Setup

  38. SonarQube static code scan

  39. API Management Microsoft
  40. API Management Amazon

  41. Scenarios for load

Wait, there’s more. Click one of these …

This article is one of a series about tuning and performance: