DevOps Production Support Engineer Certification Course

The DevOps Production Support Engineer Certification Course is designed to equip learners with the practical skills required to manage, monitor, and maintain large-scale production environments. This program focuses on real-time troubleshooting, infrastructure monitoring, log analysis, automation, and CI/CD pipeline support. Students will gain deep expertise in Linux administration, cloud platforms, container orchestration, configuration management, and incident management workflows used in modern DevOps teams. Through hands-on labs, real-world simulations, and industry use cases, learners will master root-cause analysis, performance tuning, system reliability, and on-call support practices. This course prepares professionals to ensure seamless application availability, reduce downtime, enhance operational efficiency, and support mission-critical deployments across enterprise DevOps environments.

Skills You Will Gain:

• Strong proficiency in Linux/Unix administration, shell scripting, and system troubleshooting
• Ability to monitor infrastructure using tools like Prometheus, Grafana, Nagios, CloudWatch, etc.
• Expertise in CI/CD pipeline support, including Jenkins, GitLab CI, Azure DevOps
• Skills in log analysis & monitoring using ELK/EFK stack, Splunk, and cloud-native tools
• Understanding of incident management, on-call support processes, SLAs, and escalation workflows
• Knowledge of containerization & orchestration (Docker, Kubernetes) for production support
• Ability to identify performance bottlenecks and perform root-cause analysis (RCA)
• Hands-on skills in cloud platforms (AWS, Azure, GCP) for environment management and troubleshooting

The Course Enables Students To:

• Understand real-time production support workflows, ticketing systems, and on-call procedures
• Monitor applications, servers, and cloud resources using industry-standard DevOps monitoring tools
• Diagnose and resolve production incidents, outages, and performance issues
• Perform root-cause analysis (RCA) and generate incident reports
• Support and maintain CI/CD pipelines, ensuring smooth deployments and environment stability
• Analyze application logs using ELK/Splunk and automate alerting and troubleshooting
• Manage cloud infrastructure (AWS/Azure/GCP) and apply best practices for reliability
• troubleshoot Kubernetes clusters, Docker containers, and microservices-based architectures

SYLLABUS:

Module 1: Introduction to DevOps & Production Support

• DevOps concepts, culture, and roles
• Production vs non-production environments
• Release cycles, SLAs, on-call duties
• Incident, problem, and change management basics

Module 2: Linux/Unix Administration for Production Support

• Linux commands & file system management
• User & permission management
• Processes, system services, system logs
• Shell scripting for automation

Module 3: Networking Essentials

• TCP/IP, DNS, load balancers, firewalls
• Debugging network issues (ping, traceroute, netstat)
• Understanding ports, protocols, and connectivity troubleshooting

Module 4: Monitoring & Alerting

• Monitoring fundamentals
• Server, application & database monitoring
• Setting alerts & thresholds
• Hands-on with monitoring dashboards

Module 5: Log Management & Analysis

• Log types & log rotation
• Log collection and parsing
• Error analysis & troubleshooting
• Building dashboards & alert rules

Module 6: CI/CD Pipeline Support

• Pipeline concepts and stages
• Build, test, deploy automation
• Troubleshooting failing builds & deployments
• CI/CD best practices

Module 7: Cloud Operations & Troubleshooting

• Cloud fundamentals (AWS/Azure/GCP)
• Cloud monitoring & logs
• VM, storage, network troubleshooting
• IAM & access management basics

Module 8: Docker & Kubernetes for Production Support

• Docker basics & container troubleshooting
• Kubernetes components & architecture
• Pod failures, node issues, service debugging
• Logs, events, and resource usage analysis

Module 9: Configuration Management & Infrastructure Automation

• Introduction to Ansible/Puppet/Chef
• Automating server updates & configurations
• Writing playbooks & configuration scripts
• Version control with Git

Module 10: Incident, Problem & Change Management

• Incident lifecycle & severity levels
• Root-Cause Analysis (RCA)
• Creating incident reports
• Change requests, approvals & deployments

Skills You Will Develop:

• Ability to manage and troubleshoot Linux/Unix systems in production environments
• Strong skills in diagnosing application, server, and network issues
• Expertise in monitoring systems using tools like Prometheus, Grafana, Nagios, CloudWatch, etc.
• Proficiency in analyzing logs using ELK/EFK, Splunk, and cloud-native log services
• Capability to support, maintain, and fix CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps)
• Hands-on experience with Docker containers and troubleshooting Kubernetes clusters
• Skills in automating routine tasks using Shell scripting and Python

Live Projects:

• Project 1: Production Monitoring & Alert Setup

• Configure monitoring dashboards (Prometheus/Grafana/Nagios)

• Create custom alerts for CPU, memory, disk, and application health

• Test alerts and escalate using ticketing tools

• Project 2: CI/CD Pipeline Troubleshooting

• Debug failed builds and deployments in Jenkins/GitLab CI

• Fix dependency issues, environment variables, and broken scripts

• Document deployment steps and automate repetitive tasks

• Project 3: Log Analysis & Incident Resolution

• Collect and analyze logs using ELK/EFK stack or Splunk

• Identify root causes of failures and generate RCA reports

• Create alerts for critical log patterns

• Project 4: Docker & Kubernetes Production Debugging

• Fix failing Docker containers and image build issues

• Troubleshoot pod failures, node crashes, and service outages

• Use kubectl logs, events, and metrics for RCA

• Project 5: Cloud Operations Simulation (AWS/Azure/GCP)

• Troubleshoot EC2/VM issues, scaling problems, and access errors

• Configure cloud monitoring dashboards

• Analyze network issues (VPC, subnets, security groups)

Who Is This Program For?

• IT Support Engineers looking to transition into DevOps and production support roles
• System Administrators (Linux/Windows) who want to upgrade to cloud & DevOps operations
• DevOps Beginners aiming for real-time, hands-on production environment experience
• Application Support Engineers who want to master CI/CD, cloud, monitoring, and automation
• NOC Engineers interested in expanding into DevOps and SRE (Site Reliability Engineering)
• Cloud Support Associates who want to build strong troubleshooting and RCA skills
• QA & Testing Professionals planning to move into DevOps support roles
• Software Developers wanting to understand production deployments and environment operations
• Students & Freshers who want to start a career in DevOps operations and support

How To Apply:

• Mobile: 9100348679
• Email: coursedivine@gmail.com