Project Description: Hari Sekhon - DevOps Bash Tools

What is the project about?

This project is a large collection of shell scripts and advanced Bash environment configurations aimed at DevOps, systems engineering, automation, and API interactions. It provides tools and utilities for a wide range of tasks, including system administration, cloud platform management (AWS, GCP), containerization (Docker, Kubernetes), database interactions, data processing, and CI/CD.

What problem does it solve?

The project solves several problems:

• Reduces repetitive manual tasks: Automates common DevOps tasks, saving time and reducing errors.
• Simplifies complex commands: Provides shorter, easier-to-use CLI wrappers for complex tools.
• Enhances Bash environment: Offers advanced Bash configurations, aliases, and functions for improved productivity.
• Facilitates API interactions: Simplifies querying various APIs with automated authentication and token handling.
• Provides a consistent environment: Offers standardized configurations and utilities across different systems and CI/CD pipelines.
• Speeds up setup and installation: Includes installation scripts for popular DevOps tools.
• Offers a library of reusable functions: Provides Bash utility libraries for scripting and CI detection.

What are the features of the project?

• Extensive Script Collection: 1000+ scripts for various DevOps technologies.
• Advanced Bash Environment: Enhanced .bashrc and .bash.d/ with aliases, functions, and dynamic behavior.
• Installation Scripts: Automated installation of popular tools like AWS CLI, Azure CLI, GCloud SDK, Terraform, etc.
• Cloud Platform Management: Scripts for AWS (IAM, EC2, ECR, EKS, S3, etc.) and GCP (GCE, GKE, GCR, BigQuery, Cloud SQL, etc.).
• Containerization Tools: Scripts for Docker and Kubernetes management.
• Database Utilities: Fast CLI wrappers and Docker sandboxes for PostgreSQL, MySQL, MariaDB, and SQLite.
• Data Processing Tools: Validators and converters for data formats like Avro, Parquet, CSV, JSON, YAML, etc.
• Big Data & NoSQL: Scripts for Kafka, Hadoop, Hive, Impala, ZooKeeper, and Cloudera Manager/Navigator APIs.
• Git & CI/CD: Scripts for Git, GitHub, GitLab, Bitbucket, and various CI/CD platforms.
• Utility Libraries: Bash libraries for scripting and CI detection.
• Dot Configs: Advanced configurations for Git, vim, screen, tmux, etc.
• Monitoring: Scripts for Grafana, Prometheus, and scripted collection of monitoring stats.

What are the technologies used in the project?

• Bash: The primary scripting language.
• Linux & Mac Utilities: Standard command-line tools.
• Cloud CLIs: AWS CLI, Azure CLI, GCloud SDK.
• Containerization: Docker, Kubernetes, kubectl, kustomize, Helm.
• Databases: PostgreSQL, MySQL, MariaDB, SQLite.
• Big Data: Kafka, Hadoop, Hive, Impala, ZooKeeper.
• APIs: Various REST APIs (AWS, GCP, GitHub, GitLab, DockerHub, etc.).
• CI/CD Tools: Jenkins, Concourse, GoCD, TeamCity, Travis CI, Circle CI, etc.
• Other: Git, vim, screen, tmux, jq, yq.

What are the benefits of the project?

• Increased Productivity: Automates tasks and simplifies complex commands.
• Improved Efficiency: Provides faster and more efficient ways to perform DevOps tasks.
• Reduced Errors: Automation reduces the risk of manual errors.
• Consistency: Standardized configurations and utilities across different environments.
• Code Reusability: Utility libraries and scripts can be reused across projects.
• Faster Learning Curve: Provides examples and shortcuts for various tools and APIs.
• Open Source and Customizable: Users can modify and extend the scripts to fit their needs.

What are the use cases of the project?

• System Administration: Managing servers, users, packages, and configurations.
• Cloud Management: Automating tasks on AWS, GCP, and other cloud platforms.
• Container Orchestration: Managing Docker containers and Kubernetes clusters.
• Database Administration: Interacting with databases, running queries, and managing backups.
• Data Processing: Validating and converting data formats.
• CI/CD Pipeline Automation: Integrating with CI/CD platforms for automated builds, tests, and deployments.
• API Interaction: Querying various APIs for data retrieval and automation.
• Monitoring and Alerting: Collecting system statistics and configuring alerts.
• Development Workflow Enhancement: Improving developer productivity with advanced Bash configurations and utilities.