Master in DevOps Engineering Professional (MDE)

The most comprehensive DevOps engineering program — covering the complete toolchain from SDLC and cloud platforms through advanced Kubernetes, service mesh, GitOps with ArgoCD, full-stack observability, and embedded DevSecOps practices.

Advanced Level Hands-on Labs MDE Certification 24/7 Support Full Toolchain

What This Course Covers

The MDE is a practitioner-level program that takes engineers from foundational DevOps concepts through to expert-level mastery of the entire modern engineering toolchain. It is the most complete course in the devopssupport.in catalogue.

  • SDLC models and architecture — Agile, DevOps, SRE, DevSecOps, SOA, and microservices at scale
  • Platform fundamentals — Linux/Ubuntu, Vagrant, cloud (AWS), and container platforms (Docker)
  • Backend programming language proficiency and secure coding practices
  • Source code versioning with Git, branching strategies, and code review workflows
  • Static Application Security Testing (SAST) and secure code analysis in CI pipelines
  • Build management (Maven, Gradle) and package management (RPM, NPM, PyPI)
  • Unit testing, acceptance testing, and code coverage enforcement
  • Configuration and deployment management — Ansible, Chef, Puppet
  • Container orchestration — Kubernetes (CKA-level depth, RBAC, network policies, pod security)
  • Infrastructure as Code — Terraform, CloudFormation, Pulumi
  • Continuous Integration pipeline design with automated security and quality gates
  • GitOps with ArgoCD — declarative deployments, application sets, progressive delivery

Advanced Engineering Modules

These modules distinguish the MDE from foundation-level DevOps courses — they cover the platform engineering and site reliability skills demanded by senior engineering roles:

Multi-cluster Kubernetes — Federation, multi-region deployments, cluster fleet management with Rancher/Tanzu
Service Mesh — Istio data plane & control plane, mTLS, traffic management, Envoy configuration
Webserver Engineering — Nginx/Apache tuning, load balancing, TLS termination, reverse proxy patterns
Infrastructure Monitoring — Prometheus, Grafana, Alertmanager, kube-prometheus-stack on Kubernetes
Log Monitoring — ELK Stack (Elasticsearch, Logstash, Kibana), Loki, structured logging pipelines
APM & Tracing — Dynatrace, Datadog, New Relic, OpenTelemetry distributed tracing
Incident Response — PagerDuty, OpsGenie, runbook automation, on-call rotations, RCA frameworks
Job Scheduling & Runbook Automation — Rundeck, StackStorm, Ansible AWX, AWS Systems Manager
ArgoCD & GitOps — Application sets, sync waves, progressive delivery, rollback automation
Performance & RUM Monitoring — Frontend performance, real user monitoring, Core Web Vitals tracking

Integrated DevSecOps Track

The MDE includes the full DSOCP security curriculum as an integrated track — security is not a separate module but woven throughout the delivery pipeline:

DAST — Dynamic Application Security Testing, OWASP ZAP, runtime vulnerability scanning
SCA — Software Composition Analysis, open-source dependency risk, licence compliance
RASP & Container Security — Runtime protection, image scanning, Falco, Trivy
WAF — Web Application Firewall rules, DDoS mitigation, ModSecurity
Secrets Management — HashiCorp Vault, AWS Secrets Manager, credential rotation automation
Cloud Security & Policy — IAM least-privilege, OPA/Kyverno policy-as-code, cloud security posture
SIEM — Log correlation, threat detection, Splunk ITSI, security dashboards
Zero Trust Networking — mTLS, service discovery, network segmentation in Kubernetes

Who Should Attend

The MDE is designed for experienced engineers who want to master the complete modern engineering platform — not just individual tools:

  • Senior DevOps Engineers ready to move into Staff or Principal engineering roles
  • Platform Engineers building internal developer platforms and golden paths
  • Site Reliability Engineers who need to deepen their toolchain and security knowledge
  • Cloud Architects designing enterprise-scale multi-cloud, multi-cluster architectures
  • DevSecOps Engineers integrating security controls across the full SDLC
  • Engineering Managers who need hands-on credibility with their teams

Prerequisites

Solid working knowledge of Linux, Git, CI/CD, and at least one scripting language (Bash, Python, or similar). Experience with Docker and basic Kubernetes is recommended. The MDE is an advanced program — consider the DevOps Certified Professional or DevOps Engineer courses first if you are new to DevOps.

Why Choose This Course

Full Toolchain — No Gaps

From SDLC architecture to ArgoCD and service mesh, the MDE covers 39 curriculum modules. The most comprehensive single DevOps engineering program available anywhere.

Production-Grade Labs

Every module includes hands-on labs on real infrastructure. Multi-cluster Kubernetes, service mesh, GitOps pipelines, and SIEM configurations — all in live environments.

Senior Practitioners Only

Instructors are Staff and Principal engineers with 10+ years of production experience in enterprise environments — not bootcamp graduates or certification trainers.

MDE Certification

Earn the Master in DevOps Engineering Professional credential. Exam preparation, practice tests, and mock assessments are included throughout the program.

Ready to Enrol?

Contact our training team to discuss batch schedule, pricing, and enrolment options for the MDE program. Cohort sizes are limited for quality.

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Choose Your Learning Path

Three ways to learn — from free self-service to dedicated 1-to-1 instruction.

Free

Free Practice Test

$0

Self-service practice tests to assess your knowledge and prepare for certification. No sign-up required.

  • Full practice question bank
  • Instant results & explanations
  • Available 24/7 — start anytime
Start Free Test
Premium

One to One Dedicated Training

₹99,999 INR
$1,190 USD  ·  €1,099 EUR

Fully personalised training delivered by a senior engineer, exclusively for you at your pace and schedule.

  • Dedicated senior instructor
  • Custom curriculum & pace
  • Private lab environment
  • Priority 24/7 support
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Master the Complete DevOps Engineering Platform

Talk to our training team — we'll guide you to the right MDE batch, schedule, and learning path for your current skill level and career goals.