دوره آموزشی AIOps Professional

دوره آموزشی AIOps Professional

مدت دوره :  40 ساعت

سرفصل دوره:

• Overview of AIOps
  • Benefits of Artificial Intelligence for IT Operations (AIOps(
  • Artificial Intelligence for IT Operations (AIOps) Overview
  • Benefits of AIOps
  • Use Case: Evaluating the Benefits of AIOps
  • Implications of AIOps for Business
  • Implications of AIOps for Business
  • Use Case: Implications of AIOps for Business
  • Key Capabilities of Artificial Intelligence for IT Operations (AIOps)
  • Key Capabilities of AIOps
  • Use Case: Understanding Key Capabilities of AIOps
  • Key Dimensions of IT Operations Monitoring
  • IT Operations Monitoring: Overview and Relevance
  • Understanding Key Dimensions of IT Operations Monitoring
  • Key Dimensions of IT Operations Monitoring and AIOps
  • Use Case: Understanding Key Dimensions of IT Operations Monitoring
  • AIOps Deployment Types & storages
  • AIops Industry Use cases
  • AIOps Vs DevOps Vs MLOps Life cycle
  • AIOps Challenges
  • AIOps Popular Solutions
  • ps Best Practices
  • AIOps supporting DevOps & SRE

 

• Introduction to Prometheus
  • Overview of Prometheus
    • Brief history and purpose
    • Key features and architecture
  • Basic Installation and Configuration
    • Quick setup guide
    • Overview of configuration files and settings
  • Understanding Metrics and Data Model
    • Introduction to Prometheus metrics
    • Data types and structure
  • Q&A Session
• Basic Monitoring with Prometheus
  • Instrumentation and Metrics Collection
    • How to add Prometheus metrics to an application
    • Best practices for metric collection
  • Introduction to Prometheus Query Language (PromQL)
    • Basic syntax and queries
    • Creating simple alerts
  • Hands-On Exercise
    • Quick setup of basic monitoring for a demo application

 

• Introduction to Grafana and Dashboard Creation
  • Overview of Grafana
    • Key features and integration with Prometheus
  • Setting up Grafana
    • Connecting Grafana to Prometheus
  • Creating Basic Dashboards in Grafana
    • Introduction to dashboard creation and configuration
    • Overview of visualization type
  • Hands-On Exercise
    • Participants create a basic dashboard for the demo application

 

• Advanced Features and AIOps Integration
  • Advanced Dashboard Techniques in Grafana
    • Dynamic dashboards with variables
    • Setting up basic alerts in Grafana
  • Integrating Prometheus and Grafana with AIOps
    • How these tools fit into an AIOps strategy
    • Brief on AIOps concepts relevant to monitoring and observ ability
  • Wrap-Up and Q&A
    • Recap of key concepts
    • Open floor for questions and discussion on real-world applications

 

Data Collection and Monitoring Tools

Log management: ELK Stack (Elasticsearch, Logstash, Kibana)

• Introduction to the ELK Stack
  • Overview of ELK Stack
    • Introduction to Elasticsearch, Logstash, and Kibana
    • Role of ELK in AIOps
    • Basic architecture and flow of data within the ELK Stack
  • Introduction to Elasticsearch
    • Understanding Elasticsearch basics: Indexes, Documents, and Nodes
    • Basic Elasticsearch operations: CRUD (Create, Read, Update, Delete)
  • Q&A Session
    • Address initial queries and clarifications

 

 

• Deep Dive into Logstash and Data Ingestion
  • Understanding Logstash
    • Logstash fundamentals: Input, Filter, and Output plugins
    • Configuring Logstash for data ingestion
  • Hands-On Exercise: Setting Up Logstash
    • Walkthrough of setting up a basic Logstash pipeline

Ingesting sample data into ElasticSearch

• Kibana for Data Visualization and Analysis
  • Introduction to Kibana
    • Kibana Dashboard, Visualization, and Discover features
    • Connecting Kibana to Elasticsearch
  • Hands-On Exercise: Creating Visualizations and Dashboards
    • Participants create basic visualizations and dashboards using the inges ted data
    • Exploration of Kibana’s features relevant to AIOps

 

• ELK Stack in AIOps and Advanced Topics
  • ELK Stack in the Context of AIOps
    • Integrating ELK with AIOps workflows
    • Real-world use cases of ELK in AIOps (e.g., anomaly detection, performance monitoring)
  • Advanced ELK Features
    • Brief on advanced Elasticsearch queries
    • Overview of X-Pack features (security, alerting, machine learning)
  • Wrap-Up and Q&A
    • Recap of key points
    • Open Q&A session to discuss practical applications and address any remaining questions

 

 

 

• Introduction to Apache Kafka
  • Introduction to Kibana
    • What is Apache Kafka and why it’s important in AIOps
    • Kafka’s architecture and core components (Brokers, Topics, Producers, Consumers)
  • Kafka Installation and Basic Configuration
    • Setting up a basic Kafka environment
    • Overview of Kafka configuration files

o   Kafka Producers and Consumers

• Understanding Producers and Consumers
• Writing basic producers and consumers

o   Q&A Session

• Address initial queries and clarifications

 

 

·        Kafka in Depth – Topics, Partitions, and Replication

o   Deep Dive into Kafka Topics and Partitions

• Creating and managing Topics
• Understanding Partitions for scalability and reliability

o   Kafka Replication and Fault Tolerance

• Concept of replication for high availability
• Leader and follower partitions

 

 

·        Kafka Streams and Kafka Connect

o   Introduction to Kafka Streams

• Understanding stream processing in Kafka
• Basics of Kafka Streams API

o   Kafka Connect for Integration

• Overview of Kafka Connect
• Setting up connectors for data import/export

·        Kafka in AIOps and Practical Exercise

o   Using Kafka in an AIOps Context

• Role of Kafka in event-driven architectures for AIOps
• Real-world use cases: Log aggregation, metrics collection, real -time analytics

o   Hands-On Exercise: Setting Up a Kafka Pipeline

• Building a simple pipeline for data ingestion a nd processing
• Monitoring and managing Kafka performance

o   Wrap-Up and Q&A Session

• Recap of key concepts and best practices
• Open floor for final questions and discussions

 

Data Collection and Monitoring Tools

Machine learning libraries: TensorFlow

• Introduction to TensorFlow and Machine Learning Basics
  • Overview of TensorFlow
    • Introduction to TensorFlow and its relevance in AIOps
    • Core features and capabilities of TensorFlow
  • Machine Learning Fundamentals
    • Brief overview of machine learning concepts
    • How TensorFlow supports machine learning operations
  • Setting Up TensorFlow
    • Installation and setup of TensorFlow
    • Introduction to TensorFlow’s programming model
  • Q&A Session
    • Address initial queries and clarifications

 

• TensorFlow Basics – Operations, Graphs, and Sessions
  • TensorFlow Core Concepts
    • Understanding Tensors, Operations, Graphs, and Sessions
    • Building simple computation graphs
  • Hands-On Exercise: Basic TensorFlow Operations
    • Creating and executing a simple TensorFlow program

Introduction to TensorFlow data types and operations

• Building Machine Learning Models with TensorFlow
  • Introduction to Neural Networks in TensorFlow
    • Basic concepts of neural networks
    • Building a simple neural network in TensorFlow
  • Practical Exercise: Building a Basic ML Model
    • Step-by-step construction of a machine learning model for a simple problem (e.g., regression or classification)
  • TensorFlow in AIOps and Advanced Topics
    • TensorFlow in the Context of AIOps
      • Discussing the role of TensorFlow in AIOps (e.g., anomaly detection, predictive maintenance)
      • Real-world examples of TensorFlow applications in AIOps
    • Advanced TensorFlow Features
      • Overview of advanced features like TensorFlow Extended (TFX), Keras for deep learning, and distributed training
    • Wrap-Up and Q&A Session
      • Recap of key concepts and best practices
      • Open floor for final questions and discussions on practical TensorFlow applications in AIOps

 

Data analysis tools: Jupyter Notebook

• Introduction to Jupyter Notebooks
  • Overview of Jupyter Notebooks
    • Introduction to Jupyter Notebooks and their importance in data analysis
    • Key features and benefits in the context of AIOps
  • Setting up Jupyter Notebooks
    • Installation and basic setup
    • Navigating the Jupyter Notebook interface
  • Basic Operations in Jupyter Notebook
    • reating and managing notebooks
    • Overview of Markdown, code cells, and kernel management

o   Q&A Session

• Addressing initial queries and clarifications

·        Data Analysis Basics in Jupyter Notebook

o   Data Import and Manipulation

• Importing data from various sources (CSV, databases)
• Basic data manipulation using Pandas

o   Hands-On Exercise: Working with Data

• Participants practice importing and manipulating a sample dataset

·        Advanced Data Analysis and Visualization

o   Advanced Data Analysis Techniques

• Exploring more complex data manipulation and transformation
• Introduction to time series analysis relevant to AIOps

o   Data Visualization in Jupyter

• Using Matplotlib and Seaborn for data visualization
• Creating plots and charts relevant to AIOps data (e.g., performance metric s)

·        Jupyter Notebooks in AIOps Context and Best Practices

o   Applying Jupyter Notebooks in AIOps

• Case studies or examples of Jupyter Notebooks used in AIOps scenarios
• Integrating Jupyter Notebooks with other AIOps tools and platforms

o   Best Practices and Advanced Features

• Tips for effective use of Jupyter Notebooks
• Overview of advanced features like JupyterLab, extensions

o   Wrap-Up and Q&A Session

• cap of key concepts and functionalities
• Open floor for final questions and in-depth discussions

 

 

 

Analysis and Automation

Configuration management tools: Ansible

• Introduction to Ansible and Configuration Management
  • Overview of Ansible
    • Introduction to Ansible and its role in AIOps
    • Key features and advantages of using Ansible for configuration management
  • Ansible Architecture and Components
    • Understanding Ansible architecture: Playbooks, Roles, Tasks, Modules, Inventory
    • YAML syntax basics
  • Setting Up Ansible
    • Installation and basic setup of Ansible
    • Setting up an inventory file
  • Q&A Session
    • Addressing initial queries and clarifications

 

• Basic Playbooks and Ad-hoc Commands
  • Writing Your First Ansible Playbook
    • Creating a simple playbook
    • Defining tasks and running the playbook
  • Ansible Ad-hoc Commands
    • Introduction to ad-hoc commands in Ansible
    • Practical examples of common ad-hoc commands

 

• Advanced Ansible Features
  • Variables, Templates, and Roles
    • Using variables and templates for dynamic configurations
    • Organizing playbooks with roles
  • Error Handling and Debugging
    • Best practices for error handling in Ansible playbooks
    • Using Ansible’s debugging tools

 

·        Ansible in AIOps and Hands-On Exercise

o   Applying Ansible in an AIOps Context

• Case studies or examples of Ansible used in AIOps scenarios
• Integration of Ansible with monitoring and alerting tools

o   Hands-On Exercise: Building an AIOps Pipeline

• Participants work on creating a basic pipeline using Ansible
• Automating a simple operational task relevant to AIOps

o   Wrap-Up and Q&A Session

• Recap of key concepts and functionalities
• Open floor for final questions and in-depth discussions

Infrastructure-as-code software tool: Terraform

·        Introduction to Terraform and Infrastructure as Code

o   Overview of Terraform

• Introduction to Terraform and its role in infrastructure automation
• Key features and benefits of using Terraform in AIOps

o   Terraform Basics

• Understanding Terraform’s syntax and structure
• Core concepts: Providers, Resources, Variables, State

o   Setting Up Terraform

• Installing Terraform
• Basic setup and configuration

o   Q&A Session

• Addressing initial queries and clarifications

 

·        Writing Terraform Configuration

o   Creating Your First Terraform Configuration

• Writing a basic Terraform configuration file
• Managing infrastructure as code

o   Understanding Terraform Workflow

• The Terraform workflow: init, plan, apply, destroy
• Hands-on demo of managing a simple infrastructure

 

·        Advanced Terraform Concepts

o   Modules and Remote State

• Using modules to organize and reuse code
• Managing state in complex environments

o   Dynamic Infrastructure with Terraform

• Dynamic configurations with loops and conditionals
• Integrating with cloud providers (AWS, Azure, GCP)

 

·        Terraform in AIOps and Practical Exercise

o   Terraform in an AIOps Context

• Real-world use cases of Terraform in AIOps
• Automating and maintaining AIOps infrastructure with Terraform

o   Hands-On Exercise: Implementing an AIOps Scenario

• Participants implement a small-scale infrastructure setup relevant to AIOps
• Practicing Terraform commands and configurations

o   Wrap-Up and Q&A Session

• Recap of key concepts and best practices
• Open floor for final questions and discussions on practical applications

 

 

 

 

 

 

CI/CD and Automation

Continuous integration tools: Jenkins

·        Introduction to Jenkins and Continuous Integration

• Overview of Jenkins
  • Introduction to Jenkins and its importance in CI/CD pipelines
  • The role of Jenkins in AIOps

o   Jenkins Architecture and Key Concepts

• Understanding Jenkins architecture: master, agents, plugins
• Core concepts: Jobs, Builds, Plugins, Pipelines

o   Setting Up Jenkins

• Installing and configuring Jenkins
• Navigating the Jenkins interface

o   Q&A Session

• Addressing initial queries and clarifications

 

·        Building Jobs and Basic Pipelines in Jenkins

o   Creating Your First Jenkins Job

• Setting up a freestyle project
• Configuring source code management (SCM), build triggers, and build steps

o   Introduction to Jenkins Pipelines

• Creating a basic pipeline using Jenkinsfile
• Pipeline syntax and scripted declarative pipelines

·        Advanced Jenkins Usage and Integration

• Automated Testing and Notifications
  • Integrating automated testing into Jenkins pipelines
  • Configuring build notifications (e.g., email, Slack)
• Integrating Jenkins with Other Tools
  • Connecting Jenkins with version control systems (like Git)
  • Using Jenkins with containerization tools (like Docker)

 

·        Jenkins in AIOps and Practical Exercise

o   Jenkins in the Context of AIOps

• Discussing the role of Jenkins in automated operations
• Use cases of Jenkins in monitoring, alerting, and auto -remediation

o   Hands-On Exercise: Implementing a CI/CD Pipeline

• Participants create a simple CI/CD pipeline relevant to AIOps
• Emphasizing on automated deployment and testing

o   Wrap-Up and Q&A Session

• Recap of key concepts and functionalities
• Open floor for final questions and discussions

Runbook Automation Platform: Rundeck

·        Introduction to Rundeck and Runbook Automation

o   Overview of Rundeck

• Introduction to Rundeck and its significance in AIOps
• Understanding the role of runbook automation in IT operations

o   Rundeck Architecture and Key Features

• Core components: Jobs, Nodes, Projects, Commands
• Overview of Rundeck’s UI and basic navigation

o   Setting Up Rundeck

• Installation and basic configuration
• Setting up projects and access controls

o   Q&A Session

• Addressing initial queries and clarifications

 

·        Creating and Managing Jobs in Rundeck

o   Defining and Executing Jobs

• Creating your first job in Rundeck
• Configuring job workflows, options, and scheduling

o   Advanced Job Features

• Using job plugins for extended functionality
• Handling job outputs and logs

 

·        Integrating Rundeck with Other Tools and Services

• Rundeck Integrations
  • Integrating with version control systems (e.g., Git)
  • Connecting Rundeck with monitoring tools (e.g., Nagios, Splunk)
• API and CLI Usage
  • Utilizing Rundeck’s API for automation
  • Command-line interface for Rundeck management

 

·        Rundeck in AIOps and Practical Exercise

o   Applying Rundeck in an AIOps Context

• Case studies or examples of Rundeck used in AIOps scenarios
• Automating routine operations and incident response

o   Hands-On Exercise: Implementing a Runbook Automation Scenario

• Participants implement a basic runbook automation task relevant to AIOps
• Emphasizing on automated problem resolution and reporting

o   Wrap-Up and Q&A Session

• Recap of key concepts and functionalities
• Open floor for final questions and discussions on practical applications