Why Companies in Greater Noida Choose Uncodemy for DevOps

QUESTIONS TO SEND A DEVOPS TRAINING PARTNER

1. Show one complete lab: what does a learner build?
2. Do learners write their own CI pipeline, or copy one?
3. Which tools are covered: Git, Jenkins or GitHub Actions,
   Docker, Kubernetes, Terraform, Ansible, monitoring?
4. Can examples be adjusted to our cloud and languages?
5. How much of each session is hands-on practice?
6. What happens if an engineer misses sessions for a release?
7. Is there a live online option for staff outside Noida?
8. How do you assess what each person has learned?
9. Ask for fees, inclusions and schedule in writing.

SAMPLE LAB TASK: create a tagged S3 bucket with Terraform

# main.tf
terraform {
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 5.0"
    }
  }
}

provider "aws" {
  region = "ap-south-1"
}

resource "aws_s3_bucket" "artifacts" {
  bucket = "team-artifacts-training-example"   # must be globally unique
  tags = {
    Owner = "platform-team"
    Env   = "training"
  }
}

# Commands the learner runs
terraform init
terraform plan
terraform apply
terraform destroy   # always clean up after the lab

# .github/workflows/ci.yml
name: ci

on:
  pull_request:
    branches: [main]

jobs:
  build-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"

      - name: Install dependencies
        run: pip install -r requirements.txt

      - name: Run tests
        run: pytest -q

      - name: Build container image
        run: docker build -t orders-api:${{ github.sha }} .

# Dockerfile for a small Python web service
FROM python:3.12-slim

WORKDIR /app

# Install dependencies first so this layer is cached
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy the application code
COPY . .

# Do not run as root inside the container
USER nobody

EXPOSE 8000

# gunicorn must be listed in requirements.txt
CMD ["gunicorn", "-b", "0.0.0.0:8000", "app:app"]

DEVOPS TRAINING PILOT CALENDAR (fill in with the partner)

Pilot group      : 3-5 engineers from one team
Format           : Live online / Noida centre / mixed
Batch            : Weekday ____  or  Weekend ____

Stage 1  Git workflow, branching, pull requests
Stage 2  CI pipeline: build and test on every PR
Stage 3  Docker images, registries, basic Kubernetes
Stage 4  Terraform and configuration management
Stage 5  Monitoring, alerts and a final team project

Blocked dates (releases, audits): ______________
Internal owner                  : ______________

MANAGER CHECK-IN (after each stage)

Engineer: ____________   Stage: ___

[ ] Attended sessions or used batch repeat
[ ] Completed lab in own repository
[ ] Can explain what the pipeline does, step by step
[ ] Applied one idea to a real project task
[ ] Blockers raised with trainer: ____________

Next action: ______________________________

DEVOPS TRAINING PARTNER SCORECARD (score 1-5)

Criterion                         Partner A  Partner B
--------------------------------  ---------  ---------
Share of time spent in labs           __         __
Learners build their own pipeline     __         __
Coverage: Git, CI, Docker, IaC        __         __
Kubernetes and monitoring basics      __         __
Trainer explains real failures        __         __
Online option for Greater Noida       __         __
Schedule fits release cycles          __         __
Fees and inclusions in writing        __         __
TOTAL (/40)                           __         __

PILOT REVIEW (end of pilot)

Pilot group: ______   Format: ______   Dates: ______

What each engineer built:
  - Repository link: ______________
  - Pipeline stages working: build / test / image / deploy

What changed in daily work:
  - Manual steps removed: ______________
  - New checks added to CI: ______________

Feedback from engineers (good / missing): ____________
Decision: extend / adjust / stop

DELIVERY METRICS BASELINE (record before training)

Team: ____________   Period: ____________

Deployment frequency       : how often do we release?    ____
Lead time for changes      : commit to production time   ____
Change failure rate        : share of releases causing   ____
                             incidents or rollbacks
Time to restore service    : average recovery time       ____

Re-measure the same four values after the team has
applied the training for a few release cycles.