Corporate DevOps Training in Ghaziabad: A Complete Guide

Pipeline audit interview (30 min per team)
1. Walk me through your last release, step by step.
2. Which steps are manual? Who does them?
3. What broke in the last three releases?
4. How long did the last rollback take?
5. What would you automate first if you could?

Baseline metrics (record before training)
Deployment frequency ......... __ per month
Lead time (commit to prod) ... __ days
Change failure rate .......... __ %
Time to restore service ...... __ hours
(These four are the widely used DORA metrics.)

# Jenkinsfile used in the shared foundation lab
pipeline {
  agent any
  stages {
    stage('Build') { steps { sh 'mvn -B -DskipTests package' } }
    stage('Test')  { steps { sh 'mvn -B test' } }
    stage('Image') { steps { sh 'docker build -t registry.local/orders:${BUILD_NUMBER} .' } }
  }
  post {
    always { junit 'target/surefire-reports/*.xml' }
  }
}

# Operations track: practise a rollback on a training cluster
kubectl set image deployment/orders orders=registry.local/orders:42
kubectl rollout status deployment/orders
# simulate a bad release, then:
kubectl rollout undo deployment/orders
kubectl rollout status deployment/orders

Pilot charter
Service: orders-api
Goal: automated build, test and deploy to staging and production
Team: 2 developers, 1 ops engineer, 1 tester
Duration: 6 weeks
Support: trainer office hours twice a week
Success: lead time and failure rate better than baseline

Team DevOps standards (version 1)
- Every service has a pipeline file in its repository
- main is protected; changes via reviewed pull requests
- Images tagged with build number, never only "latest"
- Deployments automated; rollback documented and tested
- Secrets in the secret store, never in code

Training brief for the partner
Company context: product teams + ops team, mixed Java and Python
Current state: manual builds, scripted deployments, no containers
Goals: CI for all services, containerised deploys, faster rollback
Learners: 18 (10 dev, 4 ops, 4 QA)
Constraints: sessions in office, max 3 hours per day
Stack to use in labs: GitHub, Jenkins, Docker, Kubernetes, AWS

Schedule (6 weeks, around delivery work)
Week 1   Shared foundation (two 3-hour sessions)
Weeks 2-4 Role tracks (one 3-hour lab per week per track)
Week 5   Joint pilot kick-off and pipeline build
Week 6   Review, standards draft, next steps
Then     Pilot runs for a month with office hours

Results report (after pilot)
                          Before   After
Deployment frequency      ____     ____
Lead time                 ____     ____
Change failure rate       ____     ____
Time to restore           ____     ____
Learner feedback (avg)    ____ / 5
Next teams to onboard: ____________