AIOps Foundation Certification Training

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 ingested 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 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
• Kafka Producers and Consumers
  • Understanding Producers and Consumers
  • Writing basic producers and consumers
• Q&A Session
  • Address initial queries and clarifications

Kafka in Depth - Topics, Partitions, and Replication

• Deep Dive into Kafka Topics and Partitions
  • Creating and managing Topics
  • Understanding Partitions for scalability and reliability
• Kafka Replication and Fault Tolerance
  • Concept of replication for high availability
  • Leader and follower partitions

: Kafka Streams and Kafka Connect

• Introduction to Kafka Streams
  • Understanding stream processing in Kafka
  • Basics of Kafka Streams API
• Kafka Connect for Integration
  • Overview of Kafka Connect
  • Setting up connectors for data import/export

Kafka in AIOps and Practical Exercise

• 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
• Hands-On Exercise: Setting Up a Kafka Pipeline
  • Building a simple pipeline for data ingestion and processing
  • Monitoring and managing Kafka performance
• Wrap-Up and Q&A Session
  • Recap of key concepts and best practices
  • Open floor for final questions and discussions

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

Introduction to Jupyter Notebooks

• Overview of Jupyter Notebooks (15 mins)
  • Introduction to Jupyter Notebooks and their importance in data analysis
  • Key features and benefits in the context of AIOps
• Setting Up Jupyter Notebooks (15 mins)
  • Installation and basic setup
  • Navigating the Jupyter Notebook interface
• Basic Operations in Jupyter Notebook (15 mins)
  • Creating and managing notebooks
  • Overview of Markdown, code cells, and kernel management
• Q&A Session (15 mins)
  • Addressing initial queries and clarifications

Data Analysis Basics in Jupyter Notebook

• Data Import and Manipulation
  • Importing data from various sources (CSV, databases)
  • Basic data manipulation using Pandas
• Hands-On Exercise: Working with Data
  • Participants practice importing and manipulating a sample dataset

Advanced Data Analysis and Visualization

• Advanced Data Analysis Techniques
  • Exploring more complex data manipulation and transformation
  • Introduction to time series analysis relevant to AIOps
• Data Visualization in Jupyter
  • Using Matplotlib and Seaborn for data visualization
  • Creating plots and charts relevant to AIOps data (e.g., performance metrics)

Jupyter Notebooks in AIOps Context and Best Practices

• 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
• Best Practices and Advanced Features
  • Tips for effective use of Jupyter Notebooks
  • Overview of advanced features like JupyterLab, extensions
• Wrap-Up and Q&A Session
  • Recap of key concepts and functionalities
  • Open floor for final questions and in-depth discussions

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

• Applying Ansible in an AIOps Context
  • Case studies or examples of Ansible used in AIOps scenarios
  • Integration of Ansible with monitoring and alerting tools
• Hands-On Exercise: Building an AIOps Pipeline
  • Participants work on creating a basic pipeline using Ansible
  • Automating a simple operational task relevant to AIOps
• Wrap-Up and Q&A Session
  • Recap of key concepts and functionalities
  • Open floor for final questions and in-depth discussions

Introduction to Terraform and Infrastructure as Code

• Overview of Terraform
  • Introduction to Terraform and its role in infrastructure automation
  • Key features and benefits of using Terraform in AIOps
• Terraform Basics
  • Understanding Terraform's syntax and structure
  • Core concepts: Providers, Resources, Variables, State
• Setting Up Terraform
  • Installing Terraform
  • Basic setup and configuration
• Q&A Session
  • Addressing initial queries and clarifications

Writing Terraform Configuration

• Creating Your First Terraform Configuration
  • Writing a basic Terraform configuration file
  • Managing infrastructure as code
• Understanding Terraform Workflow
  • The Terraform workflow: init, plan, apply, destroy
  • Hands-on demo of managing a simple infrastructure

Advanced Terraform Concepts

• Modules and Remote State
  • Using modules to organize and reuse code
  • Managing state in complex environments
• Dynamic Infrastructure with Terraform
  • Dynamic configurations with loops and conditionals
  • Integrating with cloud providers (AWS, Azure, GCP)

Terraform in AIOps and Practical Exercise

• Terraform in an AIOps Context
  • Real-world use cases of Terraform in AIOps
  • Automating and maintaining AIOps infrastructure with Terraform
• Hands-On Exercise: Implementing an AIOps Scenario
  • Participants implement a small-scale infrastructure setup relevant to AIOps
  • Practicing Terraform commands and configurations
• Wrap-Up and Q&A Session
  • Recap of key concepts and best practices
  • Open floor for final questions and discussions on practical applications

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
• Jenkins Architecture and Key Concepts
  • Understanding Jenkins architecture: master, agents, plugins
  • Core concepts: Jobs, Builds, Plugins, Pipelines
• Setting Up Jenkins
  • Installing and configuring Jenkins
  • Navigating the Jenkins interface
• Q&A Session
  • Addressing initial queries and clarifications

Building Jobs and Basic Pipelines in Jenkins

• Creating Your First Jenkins Job
  • Setting up a freestyle project
  • Configuring source code management (SCM), build triggers, and build steps
• Introduction to Jenkins Pipelines
  • Creating a basic pipeline using Jenkinsfile
  • Pipeline syntax and scripted vs. 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

• Jenkins in the Context of AIOps
  • Discussing the role of Jenkins in automated operations
  • Use cases of Jenkins in monitoring, alerting, and auto-remediation
• Hands-On Exercise: Implementing a CI/CD Pipeline
  • Participants create a simple CI/CD pipeline relevant to AIOps
  • Emphasizing on automated deployment and testing
• Wrap-Up and Q&A Session
  • Recap of key concepts and functionalities
  • Open floor for final questions and discussions

Introduction to Rundeck and Runbook Automation

• Overview of Rundeck
  • Introduction to Rundeck and its significance in AIOps
  • Understanding the role of runbook automation in IT operations
• Rundeck Architecture and Key Features
  • Core components: Jobs, Nodes, Projects, Commands
  • Overview of Rundeck’s UI and basic navigation
• Setting Up Rundeck
  • Installation and basic configuration
  • Setting up projects and access controls
• Q&A Session
  • Addressing initial queries and clarifications

Creating and Managing Jobs in Rundeck

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

• Applying Rundeck in an AIOps Context
  • Case studies or examples of Rundeck used in AIOps scenarios
  • Automating routine operations and incident response
• 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
• Wrap-Up and Q&A Session
  • Recap of key concepts and functionalities
  • Open floor for final questions and discussions on practical applications