Devops Projects & Labs
Practice devops skills with real-world hands-on projects and labs
Featured Projects
DevOps Foundational Project
Live
Learn how to set up a full-stack application using React for the frontend and Python for the backend. This project will guide you through the integration process and best practices.
5-8 hours
1,345 students
4.8/5
Streaming Service with Kafka
Coming soon
Build a streaming service using Kafka and Python. This project will help you understand the basics of Kafka and how to integrate it into your applications.
6-8 hours
0 students
5/5
Event Driven Architecture for Dropbox
Live
Build an event-driven file storage system similar to Dropbox using AWS S3, Lambda, SQS, and DynamoDB. Learn how to handle file uploads, implement automatic compression, version tracking, and synchronization across devices.
7-11 hours
276 students
4.8/5
Self-Hosted URL Shortener Infrastructure
Coming Soon
Deploy a complete self-hosted URL shortening service on Azure VMs using industry-standard tools. Implement cert-manager for SSL, external-DNS for DNS automation, Ansible for configuration management, Jenkins for CI/CD, and a self-hosted PostgreSQL database.
10-15 hours
983 students
4.7/5
Identity Federation & Access Control
Coming Soon
Create a centralized identity federation system with SSO capabilities. Set up a high-availability, multi-region identity provider service. Implement OAuth 2.0 and OpenID Connect (OIDC) standards and more.
20-25 hours
0 students
4.6/5
GitOps with ArgoCD
Live
Use ArgoCD for GitOps deployments methodology. Deploy Argo CD using Helm charts, verify the installation, and configure secure access to the Argo CD web UI.
20-25 hours
210 students
4.9/5
Practice Labs
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CI/CD Pipeline with Go and DockerLearn how to set up a Go project with a simple 'Hello, CI/CD!' program, containerize it using Docker, and automate build, test, and deployment processes using GitHub Actions.
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Go CLI for KubernetesThis lab guides you through creating a Go-based Command Line Interface (CLI) application to interact with a Kubernetes cluster. You will set up a Go project, use the Cobra library to generate CLI commands, and integrate the Kubernetes client-go library to fetch and display information about pods and nodes.
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Prometheus Monitoring and Alerting with KubernetesInstall Prometheus using Helm in a Kubernetes environment, deploy and expose a sample app, configure Prometheus to scrape metrics from the app, set up alerting rules and notifications via webhook.site, and verify alert functionality.
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Go essentials for DevOps Learn Go essentials for DevOps, covering data types, conditional statements, loops, and structs to streamline development and operational workflows.
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Deploy and Access Kubernetes DashboardIn this lab, you will learn to deploy the Kubernetes Dashboard using Helm and expose it via a Kong proxy. You will explore the dashboard to monitor workloads, nodes, and resource metrics.
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Building a RESTful API with GoLearn how to create a RESTful API from scratch using Go. This lab covers setting up a Go module, creating project directories and files, implementing CRUD operations with HTTP handlers, and testing the API endpoints using tools like Postman or cURL.
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Kubernetes Log Monitoring with Loki and GrafanaThis lab guides you through setting up Loki, Promtail, and Grafana on a Kubernetes environment using Helm. You'll configure Grafana to visualize logs collected by Loki, using Promtail to forward log data.
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Helm Chart Deployment and Service ExposureLearn how to create, customize, and deploy a Helm chart for a sample application, configure service settings, and verify deployment in a Kubernetes cluster.
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Nginx Ingress Controller in KubernetesLearn to deploy a sample Docker app on Kubernetes, expose it via a ClusterIP Service, install Nginx Ingress Controller using Helm, and configure Ingress for external access. Validate the deployment and service, and test application endpoints through the configured Ingress.
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Git Fundamentals and GitHub IntegrationLearn to initialize a Git repository, configure user settings, create and manage branches, handle merge conflicts, and push to and pull from a GitHub repository. Conclude by cleaning up the GitHub repository.
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Kubernetes Pods, Deployment, Statefulsets and more.Learn to manage Kubernetes resources by creating and deploying a namespace, pods, deployments, StatefulSets, DaemonSets, and services. Verify application status and access endpoints through a browser.
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Enforcing and Modifying Pod Security Standards in KubernetesLearn to create a Kubernetes namespace and apply pod security standards. Enforce and modify policies using PodSecurityPolicy or Pod Security Standards, attempt to deploy a privileged pod, and observe policy violations. Finally, adjust the security settings, redeploy, and clean up the environment.
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Comprehensive Process Management in UbuntuLearn to effectively use process management tools like ps, top, htop, kill, nice, renice, and jobs. Practice monitoring and controlling system processes, adjusting priorities, and managing system performance through practical exercises.
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Disk Management and Filesystem OperationsLearn to manage disk space and filesystems with commands like 'df', 'du', 'mount', 'umount', 'fdisk', 'lsblk', and 'mkfs'. Practice displaying disk usage, mounting and unmounting filesystems, partitioning disks, and creating filesystems.
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User and Group Management in LinuxThis lab guides you through creating and managing a user and group in Linux. You will learn to create a new user, set a password, change the user's shell, create a new group, and manage group memberships using commands like useradd, passwd, usermod, and groupadd.
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Ubuntu File and Directory ManagementLearn essential file and directory management commands in Ubuntu, including listing, navigating, copying, moving, deleting, searching, creating directories, and modifying file permissions and ownership.
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Comprehensive SSL/TLS and Setup LabThis lab guides you through creating a self-signed root CA and intermediate CA using OpenSSL, generating and signing server certificates, setting up an Nginx ingress controller on Kubernetes, deploying a sample application, and configuring HTTPS with proper certificate chaining.
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Comprehensive Kubernetes Architecture and NetworkingExplore the architecture of Kubernetes, including Master and Worker Nodes, key components, and their roles. Understand etcd's role, the Kubernetes API server, and the networking model. Deploy a sample application and verify service connectivity.
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Comprehensive Guide to Kubernetes PodsLearn about Kubernetes Pods, their components, lifecycle, networking, and storage. Create and manage Pods using YAML, configure probes, and explore ReplicaSets for high availability.
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Kubernetes ReplicaSets Deep DiveLearn the fundamentals and advanced features of Kubernetes ReplicaSets. This lab covers their purpose, key components, and scenarios of use. Participants will create, scale, monitor, update, and troubleshoot ReplicaSets, using a sample application to gain hands-on experience. Emphasis is placed on understanding the role of ReplicaSets in maintaining desired pod counts and managing resources effectively.
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Kubernetes Namespaces: Management and Best PracticesLearn how to effectively use Kubernetes namespaces to organize, isolate, and manage resources within a cluster. This lab covers namespace creation, resource assignment, context switching, deletion, and setting resource quotas. Includes practical examples and best practices for optimal namespace utilization.
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Kubernetes Imperative Commands MasteryLearn to effectively use imperative commands in Kubernetes to manage namespaces, deploy applications, expose services, update images, scale replicas, and clean up resources. Understand their importance, best practices, and scenarios where they are most beneficial.
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Managing Environment Variables in KubernetesLearn how to configure and manage environment variables in Kubernetes for application behavior control. Deploy and update a sample Docker app, verify environment variable settings, and observe their impact on application endpoints.
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Managing Kubernetes ConfigMapsLearn how to use ConfigMaps in Kubernetes to manage configuration data separately from application code. This lab covers creating and applying ConfigMaps, setting environment variables, mounting ConfigMaps as volumes, deploying applications, and updating configurations. Additionally, you will practice cleaning up Kubernetes resources.
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Managing Kubernetes SecretsLearn the essentials of Kubernetes Secrets for securely handling sensitive information. Create, verify, and utilize Secrets for environment variables and file mounts in a deployment. Understand Docker registry Secrets for pulling images from private registries and perform cleanup operations.
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Kubernetes Security Context FundamentalsLearn the essentials of Kubernetes security context by configuring pods and containers with non-root users, setting file permissions, and other security settings. Create and deploy a secure pod in an isolated namespace, verify and modify security settings, and test the application endpoints.
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Securing Kubernetes Pods with Security ContextsLearn the fundamentals of Kubernetes security contexts by setting up and configuring security-related settings in pods and containers. Create and deploy a pod within an isolated namespace, ensuring it runs as a non-root user and applies additional security measures. Verify and modify security settings to enforce best practices.
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Kubernetes Resource Requests and Limits LabLearn about Kubernetes resource requests and limits, their importance for application performance and stability, and how to configure them. Deploy the SampleDockerApp, set CPU and memory requests and limits, and monitor resource usage under load.
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Kubernetes RBAC Fundamentals: Service Accounts, Roles, and BindingsLearn the essentials of Kubernetes RBAC by creating and managing Service Accounts, Roles, and RoleBindings. Understand the difference between Role and ClusterRole, and implement access controls at both namespace and cluster levels. Verify permissions using temporary pods and clean up resources upon completion.
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Kubernetes Pod Placement Strategies: Node Selectors, Affinity, and Anti-AffinityLearn to control pod placement in Kubernetes using node selectors, affinity, and anti-affinity rules. This lab covers optimizing resource utilization, enhancing performance, and ensuring high availability by scheduling pods on specific nodes. Practical examples with SampleDockerApp demonstrate node selectors, pod affinity, and anti-affinity configurations, along with verification and cleanup steps.
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Kubernetes Taints and Tolerations LabLearn to manage pod scheduling in Kubernetes by using taints and tolerations. This lab covers node tainting, deploying a sample app, verifying pod scheduling, and modifying deployments to include tolerations.
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Comprehensive Kubernetes Services LabLearn about Kubernetes Services, their types, and use cases. Deploy and expose a sample app using ClusterIP, NodePort, Headless, and LoadBalancer services. Test service functionality, handle pod failures, and clean up resources.
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Kubernetes Probes Implementation and TestingLearn to enhance application health and reliability in Kubernetes by configuring liveness, readiness, and startup probes. Deploy the SampleDockerApp, set up probes, and observe the behavior during simulated failures.
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Securing Kubernetes Pods with Network PoliciesLearn to secure Kubernetes pod communication using Network Policies. Create and verify policies to allow, deny, and restrict traffic, ensuring secure and controlled pod interactions.
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Kubernetes Persistent Storage FundamentalsLearn the basics of Persistent Volumes (PV), Persistent Volume Claims (PVC), and StorageClasses in Kubernetes. Define and configure storage resources, deploy a sample application using PVCs, and verify persistent storage functionality. Clean up resources after verification.
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Kafka EssentialsThis lab covers the fundamentals of Kafka topics, including how to create and describe topics using the Kafka command-line tool. It explains the concepts of partitions and offsets, and demonstrates how to produce and consume messages. The lab also shows how to view consumer group offsets and lag.
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Building a Kafka Topic, Producer, and Consumer with PythonLearn to manage Kafka topics and understand the significance of message keys in a Kubernetes cluster. This lab covers creating a Kafka topic, writing producers to send messages with and without keys, and verifying message distribution across partitions. Additionally, it includes writing a consumer to read and analyze messages from the topic, highlighting the role of message keys.
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Kafka Consumer Fundamentals and DeserializationExplore the basics of Kafka consumers, create and configure a consumer to connect to a Kafka topic, and learn deserialization techniques. Implement error handling and custom deserializers to ensure robust message processing.
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Deploy Kafka on Kubernetes with HelmLearn how to deploy and manage a Kafka cluster on Kubernetes using Helm. This lab includes adding the Bitnami Helm repository, updating Helm charts, customizing Kafka deployment with a YAML file, installing Kafka, verifying the installation, and uninstalling Kafka.
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Installing and Configuring Argo CD with HelmIn this lab, you will add the Argo Helm repository to your Helm client, install Argo CD on your Kubernetes cluster, verify the installation, and access the Argo CD web UI. You will also retrieve and change the default admin password for enhanced security.
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Argo CD: Web UI and CLI ManagementLearn how to access and manage Argo CD using both the web UI and CLI. Retrieve the admin password, explore the dashboard, and configure the CLI to connect to your Argo CD instance. Create and sync a test application to understand application management through the CLI.
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Deploying Kubernetes Apps with GitHub CLI and ArgoCDLearn to create a private GitHub repository for Kubernetes manifests, deploy a sample application using ArgoCD, and manage the application lifecycle.
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Introduction to JSON and Basic Manipulation with PythonLearn the fundamentals of JSON, create and validate JSON files, and manipulate JSON data using Python. This lab covers creating a JSON file, writing a basic JSON object, validating its syntax, and using Python to read, modify, and save JSON data.
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Understanding YAML and Its Integration with PythonLearn the basics of YAML, its syntax, and common use cases in configuration files and data serialization. Create and validate a YAML file, then parse it using a Python script with the PyYAML library.
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BashLearn how to create and run a bash script, define variables, accept input parameters, use conditionals, loops, and functions. This lab guides you through creating a functional script that processes user input and performs basic operations.
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Deploy and Initialize Hashicorp Vault on KubernetesThis lab guides you through adding the Hashicorp Helm repository, installing Hashicorp Vault on a Kubernetes cluster using Helm, and initializing and unsealing Vault. You will also install the Vault CLI and verify the setup by checking Vault's status.
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Vault ArchitectureLearn to initialize and unseal a Vault server, define access policies, enable secrets engines, store secrets, and configure authentication methods using the Vault CLI.
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Vim Basics: File Editing and NavigationThis lab introduces the fundamental commands and modes of Vim, including how to open and create files, switch between modes, navigate, edit, save, and exit. Learn essential operations like deleting, undoing, searching, replacing text, and using Visual mode for text selection.
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Mastering Nano Text EditorLearn to efficiently use the nano text editor, including navigation, text manipulation, saving changes, searching, replacing text, cutting, pasting, and undoing actions. Practice essential commands for effective text editing and file management.
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Introduction to SSH and Key-Based AuthenticationThis lab covers the essentials of SSH, including secure remote login and command execution over encrypted channels. You will learn how to start and enable the SSH service, generate SSH key pairs, and configure key-based authentication for passwordless login. Practical steps include using systemctl commands to manage the SSH service, generating keys with ssh-keygen, and testing the SSH connection to verify root access.
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Netcat Essentials and Advanced TechniquesExplore the primary functionalities and use cases of Netcat. Establish TCP connections, transfer files, perform port scanning, and create a chat application. Learn banner grabbing, port redirection, and automate tasks using shell scripts. Delve into advanced features like UDP mode and connection brokering.
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Admission controller with KubernetesLearn how to implement an admission controller in Kubernetes to intercept and manage requests to the Kubernetes API server, ensuring compliance with policies before object creation.
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FluxCD Kubernetes Deployment with Helm and GitHub IntegrationLearn to deploy Flux using Helm and manage a Kubernetes application lifecycle with GitHub integration. This lab includes setting up a Flux GitHub repository, creating and deploying a sample Docker application, and verifying deployment using Kubernetes commands.
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Git: Repository ManipulationsLearn the fundamentals of Git by initializing and cloning repositories, setting up user configurations, creating command aliases, and managing commits. This lab also covers staging, committing, checking differences, stashing changes, ignoring files, tagging important milestones, and inspecting file history.
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Git: Undoing changesLearn and practice advanced Git commands including cloning repositories, cleaning untracked files, reverting commits, performing soft resets, removing files, rebasing branches, and recovering commit states.
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Git: Repository Management and Pull RequestsLearn to authenticate with GitHub CLI, create a private repository, manage remote repositories, fetch and pull changes, push commits, and create pull requests. This lab provides hands-on experience in repository management and collaboration workflows using GitHub CLI.
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Git: Advanced Branching StrategiesLearn to authenticate with GitHub using GitHub CLI, create and manage repositories, and explore advanced branching strategies including handling merge conflicts, fast-forward merges, and squash merges.
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Introduction to TerraformLearn the fundamentals of Infrastructure as Code (IaC) and how Terraform revolutionizes infrastructure management through automation and version control. This lab covers Terraform's core components, HashiCorp Configuration Language (HCL), and guides you in creating and deploying your first Terraform configuration. Understand the importance of Terraform state and best practices for securely managing state files.
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Deploy your first AWS EC2 instanceLearn how to automate infrastructure deployment in a Kubernetes environment using Terraform and Helm. This lab covers setting up the HashiCorp Helm repository, configuring AWS CLI, and using Terraform to launch and manage an EC2 instance. You'll practice initializing, formatting, validating, applying, and destroying Terraform configurations with hands-on examples.
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Terraform State Management and S3 IntegrationInitialize Terraform, explore the .terraform directory, understand the role of state files, and configure an S3 bucket for remote state storage with versioning and access policies.
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AWS Infrastructure Provisioning with TerraformLearn to provision AWS infrastructure using Terraform. This lab covers initializing a Terraform project, configuring the AWS provider, defining variables, creating key pairs, setting up security groups, and deploying VPCs and IAM roles. Finally, apply the configuration and verify the resources in the AWS Management Console.
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Terraform AWS Infrastructure Setup with VariablesIn this lab, you'll create and manage an AWS infrastructure using Terraform. You'll define variables for key pairs, region, security group, and S3 bucket in vars.tf, configure the AWS provider in provider.tf, and define resources in main.tf. Finally, you'll initialize and apply the configuration to create the infrastructure.
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Introduction to PythonIn this lab, you will set up a Python project environment, create a script to work with basic variable types, and implement I/O operations. You'll learn to assign, print, and capture user input for different data types including integers, floats, strings, and booleans.
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Python Control Structures and Flow ControlExplore fundamental Python control structures and comprehensions by implementing various functions.
Work with lists and dictionaries by using Python's control structures and comprehensions. Get familiar with conditional statements.
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DevOps Foundational ProjectThis project covers foundational DevOps concepts including application development, Docker containerization, CI/CD pipeline implementation, cloud deployment, and monitoring of systems.
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Containerizing Your Application with DockerLearn how to use Docker, a popular containerization platform, to package, deploy, and manage applications efficiently by ensuring consistency across different development and production environments.
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Deploying UI and API in KubernetesThis lab covers the deployment of User Interface (UI) and Application Programming Interface (API) components within a Kubernetes environment.
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CI/CD Pipeline FundamentalsLearn the fundamentals of GitHub Actions to create CI/CD pipelines, automate testing, and deployment processes, enhancing development workflows and ensuring quality in your software project.
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AWS DynamoDB FundamentalsAWS DynamoDB is a fully managed NoSQL database service designed to deliver fast and predictable performance, enabling seamless scalability and reliable data storage for applications.
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DevOps Event Driven Architecture — Part 2DevOps Event Driven Architecture involves using event-driven frameworks to automatically initiate and manage various tasks and processes, enhancing responsiveness, scalability, and automation in software development and operations.
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Monitoring Your Cloud-Native Application with Prometheus, Grafana, and LokiLearn to monitor your cloud-native applications using Prometheus for metrics collection, Grafana for visualizations, and Loki for log aggregation and analysis.
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DevOps Event Driven Architecture — Part 3This lab focuses on implementing and managing event-driven architecture within DevOps practices, emphasizing real-time data processing, microservices communication, and optimized workflow orchestration.
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DevOps Event Driven Architecture — Part 4Learn about DevOps methodologies, focusing on event-driven architecture. Discover how to design and implement systems that react to real-time events, ensuring efficient and scalable operations.
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DevOps Event Driven ArchitectureWelcome to the Event-Driven Architecture Lab Series! 🚀
Overview 🔍
Over the next four labs, we'll build a simplified, yet powerful, feature inspired by platforms like Netflix: a movie "like" system with recommendations. This project serves as a practical vehicle to explore and implement core concepts of Event-Driven Architecture (EDA) using modern cloud services on AWS. We'll start with a user clicking "Like" and end with a dynamic recommendation page, all powered by an asynchronous, decoupled backend.
Purpose 🎯
The primary goal of this series is to provide hands-on experience with designing and building event-driven systems. You will learn:
How to decouple different parts of an application using event streams.
How to leverage serverless compute (AWS Lambda) for event processing.
How to use managed services like API Gateway, Kinesis, DynamoDB, and S3 effectively.
How to define and manage cloud infrastructure using Terraform (Infrastructure as Code).
The benefits of EDA, such as scalability, resilience, and extensibility.
Technology Stack 🛠️
Throughout this series, we will utilize:
Frontend: A simple UI container (details provided) with movie tiles and like buttons.
API Layer: AWS API Gateway for creating RESTful endpoints.
Compute: AWS Lambda for serverless event processing.
Event Streaming: AWS Kinesis Data Streams as our event bus.
Data Storage:
AWS DynamoDB for storing and querying aggregated like counts.
AWS S3 via Kinesis Data Firehose for archiving raw event data.
Infrastructure as Code (IaC): Terraform for defining and deploying AWS resources.
Version Control: Git & GitHub for managing code.
(Optional CI/CD): GitHub Actions (or similar) could automate deployment, though manual deployment steps will be detailed.
By the end of this series, you'll have a functioning application demonstrating key EDA patterns and a solid understanding of how these cloud services work together. Let's get started! 🎉
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Installing and Running Go: A Beginner's GuideLearn how to install Go, configure system-wide access, and create a simple 'Hello, World!' program using Go's build and execution workflow.
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Go Basics and Control StructuresLearn foundational Go programming by initializing a project, working with variables, constants, loops, conditionals, arrays, slices, maps, and functions to build a simple application.
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Go Project: Structs, Interfaces, and Concurrent ProcessingLearn Go programming by creating and managing structs, implementing interfaces, validating data, working with generics, and processing concurrent tasks using goroutines and channels.
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Network Configuration and Monitoring LabLearn to configure static IPs, manage routing, monitor traffic, enable firewalls, and optimize SSH settings while analyzing network performance using tools like tcpdump and nload.
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Process Management and Monitoring LabLearn to monitor, prioritize, and manage system processes using commands like ps, top, kill, nice, renice, strace, and job control utilities.
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Python Foundations LabLearn Python basics by creating scripts to explore virtual environments, syntax rules, variables, user input, and personalized output handling.
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Python Operators and Expressions LabExplore Python operators including arithmetic, assignment, comparison, and logical operators through practical examples and demonstrations. Create scripts to perform calculations, evaluate conditions, and debug outputs.
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Core Data Types and Operations LabExplore Python's core data types through hands-on exercises, including numerical operations, string manipulation, type casting, and formatted output using f-strings.
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Data Structures for Server ManagementLearn and implement Python data structures including lists, tuples, sets, and dictionaries to efficiently manage server configurations, properties, and statuses in a simulated environment.
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Control Flow Essentials LabLearn fundamental Python control flow techniques by implementing conditional statements, loops, and logical operators. Explore 'break', 'continue', and 'pass' actions, list operations, and variable identity comparisons in a hands-on project.
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Comprehensive Python Functions LabExplore Python function concepts including arguments, scopes, lambda expressions, and structured logging while practicing documentation and testing methodologies.
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Python Project Structure and Error HandlingLearn to create a structured Python project with modules and packages, explore function imports, debug common errors, implement try-except blocks, and raise custom exceptions for input validation.
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Python File OperationsLearn file handling in Python by reading, writing, and appending text files, using JSON for data serialization and manipulation, and leveraging the glob library for file pattern matching.
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Object-Oriented Programming and Utility IntegrationExplore OOP concepts by building a Server class with attributes, methods, and inheritance. Enhance functionality with log parsing, random name generation, data compression, and virtual environment setup to isolate dependencies.
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OS and System Interaction with PythonLearn to manage file systems, environment variables, system processes, and command-line operations using Python modules like os, sys, subprocess, platform, and psutil. Develop scripts for directory navigation, resource monitoring, and secure shell command execution with comprehensive logging.
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Introduction to Bash and Shell ScriptingLearn the basics of shell interaction, file management commands, and scripting in Bash. Practice creating, navigating, and manipulating files and directories, writing and executing simple scripts, and using variables, comments, and user input in scripts.
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Shell Script Decision LogicLearn to implement conditional statements, handle exit codes, and use logical operators in shell scripting while simulating various file and directory scenarios.
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Shell Scripting: Loops and Argument HandlingExplore shell scripting fundamentals by implementing 'for', 'while', and 'until' loops, leveraging control structures like 'break' and 'continue', and handling positional parameters, special variables, and flags using 'getopts'.
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Advanced Bash Scripting and FunctionsLearn advanced Bash scripting techniques by creating functions, exploring variable scopes, working with arrays, enabling strict error handling, using traps for error and signal handling, and performing file operations.
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Advanced Text Processing and System ManagementLearn to manipulate text files using grep, sed, and awk for pattern matching, transformations, and data extraction. Practice process management with ps, pgrep, and kill commands. Create bash scripts for service monitoring, log analysis, and directory backups.
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JSON and YAML Serialization EssentialsLearn the fundamentals of data serialization by creating and validating JSON and YAML files, exploring syntax differences, and enhancing readability through comments and structured formatting.
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Advanced YAML ConfigurationLearn to create complex YAML configurations with nested structures, reusable anchors, and multiple documents. Validate with yamllint, test with Docker Compose, and apply Kubernetes manifests.
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JSON and YAML Data Manipulation with jq and yqMaster jq and yq tools by parsing and manipulating JSON and YAML files. Learn to filter nested keys, iterate over arrays, extract API data, automate configuration parsing, update values, and convert between formats for practical use cases such as scripting and Kubernetes management.
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Mastering CLI BasicsLearn the essentials of the command-line interface, including navigation, file management, and documentation tools. Practice efficient workflows with commands, flags, shortcuts, and wildcards to boost productivity in DevOps.
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Stream Redirection and File Search LabLearn to manipulate standard streams (stdin, stdout, stderr) with redirection and pipes. Practice using `find`, `locate`, `grep`, and `tee` for file searching, filtering, and output management in real-world scenarios.
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Shell Scripting Essentials LabLearn foundational shell scripting concepts through practical exercises, including script creation, variable handling, special variables, command substitution, arithmetic operations, conditional statements, loops, and file backup automation.
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