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8 Courses

DevOps

Advanced Monitoring and Performance Testing with ELK, Prometheus, Grafana

HRDC Registration No: 10001426206
Duration: 5 Days (35 Hours)

Course Overview

This advanced course equips participants with expertise in implementing and managing monitoring and performance testing systems using the ELK Stack, Prometheus, and Grafana, deployed on Azure. Covering installation, configuration, and hands-on labs for both Linux and Windows environments, the course emphasizes creating custom dashboards and conducting comprehensive performance tests to ensure application reliability and scalability.


Who Should Attend and Why Choose This Course

Targeted Industries:

  • IT and Software Development
  • Cloud and Infrastructure Management
  • Enterprise Monitoring

Audience by Designation:

  • DevOps Engineers
  • System Administrators
  • Performance Testers
  • IT Professionals Seeking Advanced Monitoring Skills

HRDC Claimable ID: 10001426206


Learning Outcomes

Participants will:

  • Set up the ELK Stack (Elasticsearch, Logstash, Kibana, Beats) on Azure.
  • Master Elasticsearch queries, APIs, and cluster management.
  • Use Prometheus and Grafana for advanced metrics visualization and dashboard creation.
  • Conduct stress, load, and endurance testing of web applications.
  • Analyze performance metrics and optimize application performance.

Prerequisites

  • Basic programming knowledge.
  • Familiarity with web applications and networking concepts.
  • Basic understanding of command-line functions and cloud computing.

Teaching Methodology

  • Interactive Lectures and Practical Demonstrations
  • Hands-On Labs and Real-World Exercises
  • Case Studies and Troubleshooting Sessions
  • Group Discussions and Performance Scenarios

Lab Setup

  • Azure Virtual Machines (Linux and Windows Environments)
  • Installed Tools: ELK Stack, Prometheus, Grafana
  • Kubernetes Cluster for Prometheus and Grafana Deployment

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  • DevOps

    Comprehensive DevOps, Cloud Management

    HRDC Reg. No: 10001425976
    Duration: 28 hours (4 days)

    Course Overview

    This intensive four-day course provides a solid foundation in Docker, Kubernetes, and Azure. Participants will gain expertise in containerization, orchestration, and cloud management with hands-on exercises. The course covers:

    • Docker architecture and container management.
    • Kubernetes fundamentals and advanced orchestration.
    • Azure cloud services and virtual machine management.

    Who Should Attend

    This course is ideal for:

    • DevOps Engineers
    • Cloud Architects
    • Software Developers
    • IT Managers
    • System Administrators

    Why Choose This Course:
    This course is HRDC claimable under registration number 10001425976.


    Learning Outcomes

    Upon completion, participants will be able to:

    1. Understand the architecture of Docker, Kubernetes, and Azure.
    2. Install and manage Docker images and containers.
    3. Deploy applications using Kubernetes and Helm.
    4. Manage Azure resources including VMs and load balancers.
    5. Perform scaling, rolling updates, and rollbacks.
    6. Apply Azure CLI and PowerShell for cloud management.

    Prerequisites

    • Basic programming knowledge
    • Familiarity with web applications
    • Basic command line understanding
    • Networking fundamentals
    • Cloud computing basics

    Lab Setup

    • Pre-installed Docker and Kubernetes environments
    • Azure account with administrative privileges
    • Command-line tools: Azure CLI, PowerShell

    Teaching Methodology

    • Instructor-led sessions
    • Hands-on lab exercises
    • Interactive Q&A
    • Case studies

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  • DevOps

    Containerization with Docker and Kubernetes

    HRDC Reg. No: 10001465552
    Duration: 14 hours (2 days)

    Course Overview

    This comprehensive course covers Docker and Kubernetes, focusing on containerization and orchestration. It provides practical, hands-on experience to create, manage, and scale containerized applications effectively. Key topics include:

    • Container fundamentals and Docker architecture.
    • Managing containers, images, and Docker Compose.
    • Kubernetes basics, including pods, services, and scaling.
    • Advanced Kubernetes features like Ingress, Persistent Volumes, and Helm.

    Who Should Attend

    This course is ideal for:

    • DevOps Engineers
    • System Administrators
    • Cloud Developers
    • Software Developers
    • IT Professionals

    Why Choose This Course:
    This course is HRDC claimable under registration number 10001465552.


    Learning Outcomes

    Upon completing this course, participants will be able to:

    1. Understand containerization concepts and benefits.
    2. Deploy and manage containers using Docker.
    3. Use Kubernetes for application orchestration.
    4. Implement networking, storage, and scaling in Kubernetes.
    5. Automate Kubernetes deployments using Helm.

    Prerequisites

    • Basic knowledge of Linux commands and file systems.
    • Familiarity with cloud computing concepts (recommended but not mandatory).

    Lab Setup

    • Laptop with at least 8 GB RAM and 20 GB free disk space.
    • Docker and Minikube/Kubernetes cluster pre-installed.
    • Internet access for image pulling.
    • Virtualization enabled.
    • Text Editor (VS Code, Sublime Text, Nano).

    Teaching Methodology

    • Lectures with hands-on labs.
    • Interactive Q&A sessions.
    • Group exercises and real-world case studies.

     

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  • DevOps

    Continuous Integration and Continuous Deployment (CI CD)

    HRDC Reg. No: 10001465553
    Duration: 21 hours (3 days)

    Course Overview

    This course provides a comprehensive understanding of Continuous Integration (CI) and Continuous Deployment (CD), essential components of modern DevOps workflows. Participants will learn to streamline the software development lifecycle, automate testing, and ensure faster, more reliable releases. Key topics include:

    • CI/CD tools and best practices.
    • Automating builds, tests, and deployments.
    • Cloud infrastructure integration.
    • Security and monitoring in CI/CD pipelines.

    Who Should Attend

    This course is ideal for:

    • Software Engineers
    • DevOps Engineers
    • QA Engineers
    • IT Operations Professionals
    • Project Managers in Software Development

    Why Choose This Course:
    This course is HRDC claimable under registration number 10001465553.


    Learning Outcomes

    Upon completing this course, participants will be able to:

    1. Understand CI/CD fundamentals and their role in DevOps.
    2. Configure and manage CI/CD pipelines with industry-standard tools.
    3. Automate testing, building, and deployment processes.
    4. Implement version control strategies with Git.
    5. Integrate CI/CD pipelines with cloud infrastructure.
    6. Enhance software quality and release speed.

    Prerequisites

    • Basic understanding of software development processes.
    • Familiarity with version control systems (e.g., Git).
    • Prior experience with scripting or programming languages.

    Lab Setup

    • Access to cloud-based CI/CD tools (Jenkins, GitLab CI, CircleCI, or Travis CI).
    • A version control system (GitHub or GitLab) with sample projects.
    • Virtualized environments or Docker for automated tests.
    • Cloud platforms (AWS, Azure, GCP) for deployment.

    Teaching Methodology

    • Lectures & Presentations: Conceptual understanding.
    • Hands-on Labs: Practical application with guided exercises.
    • Case Studies: Real-world CI/CD implementations.
    • Group Activities: Collaboration and problem-solving.

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  • DevOps

    Grafana and Prometheus Level 1

    HRDC Reg. No: 10001260899
    Duration: 14 hours (2 days)

    Course Overview

    This course provides a comprehensive introduction to Prometheus and Grafana, commonly used in DevOps for monitoring and visualizing time-series data.
    Participants will learn how to:

    • Collect metrics using Prometheus.
    • Visualize data and create dashboards with Grafana.
    • Set up alerts for critical metrics and system performance.

    Who Should Attend

    Ideal for:

    • DevOps Engineers
    • System Administrators
    • Cloud Developers
    • IT Operations Professionals

    Why Choose This Course:
    This course is HRDC claimable under registration number 10001260899.


    Learning Outcomes

    By the end of this course, participants will be able to:

    • Install and configure Grafana and Prometheus.
    • Set up data sources and dashboards for effective data visualization.
    • Work with time-series databases like InfluxDB.
    • Write and use PromQL queries for data analysis.
    • Implement alerting mechanisms with Prometheus Alert Manager.

    Prerequisites

    • Basic understanding of IT infrastructure.
    • Knowledge of Unix/Linux operating systems.

    Lab Setup

    • Grafana and Prometheus pre-installed.
    • InfluxDB and Node Exporter setup.
    • Cloud-based or local VM environment with root access.

    Teaching Methodology

    • Instructor-led lectures for foundational concepts.
    • Hands-on labs for practical experience.
    • Group activities and real-world use cases.

    Course Outline (Per Session)

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  • DevOps

    Infrastructure as Code (IaC) with Terraform and Ansible

    HRDC Reg. No: 10001468115
    Duration: 21 hours (3 days)

    Course Overview

    This 3-day course introduces participants to Infrastructure as Code (IaC) using Terraform and Ansible, focusing on infrastructure automation and cloud provisioning. Key topics include:

    • Terraform for infrastructure management using declarative code.
    • Ansible for server configuration automation.
    • Best practices in infrastructure automation.

    Who Should Attend

    This course is ideal for:

    • DevOps Engineers
    • System Administrators
    • Cloud Engineers
    • IT Operations Professionals
    • Anyone interested in Infrastructure Automation

    Why Choose This Course:
    This course is HRDC claimable under registration number 10001468115.


    Learning Outcomes

    By the end of the course, participants will be able to:

    1. Understand IaC principles and benefits.
    2. Deploy and manage infrastructure using Terraform.
    3. Automate server configuration with Ansible.
    4. Integrate Terraform and Ansible for complete automation.
    5. Apply best practices in version control and automation.
    6. Work with AWS, Azure, or GCP for cloud deployments.

    Prerequisites

    • Basic understanding of cloud services (AWS, Azure, GCP).
    • Familiarity with Linux commands and system administration.
    • Basic knowledge of virtualization and networking.
    • Experience with YAML and JSON (optional but helpful).

    Lab Setup Requirements

    • Hardware: Computer with 8 GB RAM and virtualization enabled.
    • Software:
      • Terraform (latest version)
      • Ansible (latest version)
      • AWS/Azure/GCP account
      • Git and a text editor (VSCode, Sublime Text)

    Teaching Methodology

    • Instructor-led theory sessions.
    • Hands-on labs for practical application.
    • Case studies for real-world relevance.
    • Interactive Q&A and group discussions.

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  • DevOps

    Introduction to DevOps

    HRDC Reg. No: 10001465555
    Duration: 14 hours (2 days)

    Course Overview

    This Introduction to DevOps course offers foundational knowledge on DevOps principles, tools, and practices aimed at streamlining software development and IT operations. Participants will learn automation, CI/CD pipelines, collaboration strategies, and monitoring tools essential for modern DevOps workflows.

    Who Should Attend

    Ideal for:

    • Developers
    • IT Operations Professionals
    • System Administrators
    • Quality Assurance Engineers
    • Anyone interested in learning DevOps methodology

    Why Choose This Course:
    This course is HRDC claimable under registration number 10001465555.


    Learning Outcomes

    By the end of this course, participants will be able to:

    • Understand DevOps principles and benefits in software development.
    • Identify roles and responsibilities within a DevOps team.
    • Implement basic CI/CD pipelines using industry tools.
    • Automate testing, infrastructure management, and deployments.
    • Integrate monitoring tools for continuous feedback and improvement.
    • Foster collaboration between development and operations teams.

    Prerequisites

    • Basic understanding of software development processes.
    • Familiarity with version control systems (e.g., Git).

    Lab Setup

    • Tools: Git, Jenkins, Docker, Ansible, Nagios, Prometheus.
    • Environment: Linux-based VM or cloud environment with CI/CD tools pre-installed.

    Teaching Methodology

    • Lectures: Conceptual sessions on core topics.
    • Hands-on Labs: Practical application using DevOps tools.
    • Case Studies: Real-world DevOps success stories.
    • Group Discussions: Collaborative learning and problem-solving.

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  • DevOps

    Monitoring and Logging in DevOps

    HRDC Reg. No: 10001465556
    Duration: 14 hours (2 days)

    Course Overview

    This Monitoring and Logging in DevOps course focuses on the essential tools and strategies for monitoring system performance and managing logs in modern DevOps environments. The course offers hands-on experience with tools like Prometheus, Grafana, and the ELK Stack (Elasticsearch, Logstash, Kibana), helping participants ensure continuous visibility into infrastructure and application health.

    Who Should Attend

    Ideal for:

    • DevOps Engineers
    • System Administrators
    • Software Developers managing infrastructure
    • IT Operations Professionals

    Why Choose This Course:
    This course is HRDC claimable under registration number 10001465556.


    Learning Outcomes

    By the end of this course, participants will be able to:

    • Understand the role of monitoring and logging in DevOps.
    • Set up and configure Prometheus and Grafana for monitoring.
    • Implement ELK Stack for centralized log management.
    • Use monitoring and logging for troubleshooting system performance.
    • Develop alerting and notification systems.
    • Apply best practices for efficient monitoring and logging strategies.

    Prerequisites

    • Basic knowledge of DevOps practices and CI/CD pipelines.
    • Familiarity with Linux/Unix command-line interfaces.
    • Basic understanding of cloud infrastructure and containerization (optional).

    Lab Setup

    • Virtual machines or cloud-based environments.
    • Prometheus, Grafana, and ELK Stack pre-installed.
    • Sample applications for monitoring and logging.
    • Pre-configured scripts for hands-on exercises.

    Teaching Methodology

    • Lectures: Interactive theory sessions.
    • Hands-on Labs: Practical, tool-based exercises.
    • Case Studies: Real-world DevOps scenarios.
    • Group Discussions: Collaborative problem-solving.

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