DevOps

Herein this repo is a library of cheat sheets and examples that can be used to start up or maintain any task involved in packaging and shipping software.

DevOps is a set of practices, tools, and a cultural philosophy aimed at improving collaboration between development (Dev) and operations (Ops) teams. Its primary goal is to shorten the software development lifecycle while delivering high-quality software in a continuous and automated manner. Here’s a summary of its scope:

1. Collaboration and Communication

   • Cultural Shift: DevOps promotes collaboration between development, IT operations, and quality assurance (QA) teams. Breaking down silos is essential to streamline the software release process.

2. Automation

   • Continuous Integration (CI): Automates code integration from multiple developers into a shared repository. Tools like Jenkins, GitLab CI, or CircleCI are commonly used.
   • Continuous Delivery/Deployment (CD): Ensures code changes are automatically tested and prepared for release to production. This minimizes manual intervention in deployments.
   • Infrastructure as Code (IaC): Managing infrastructure (e.g., servers, networks) using code, allowing versioning, automation, and consistency. Tools include Terraform, Ansible, and AWS CloudFormation.

3. Database Management

   • Database Automation: Integrating databases into CI/CD pipelines by automating schema migrations, version control, and updates using tools like Liquibase or Flyway.
   • Monitoring Databases: Continuous monitoring of database performance, availability, and health to avoid bottlenecks. Tools such as Prometheus, Datadog, and New Relic are often used for this.
   • Backup and Recovery: Automating database backups, replication, and disaster recovery processes to ensure data availability and integrity.

4. [Monitoring and Feedback](./logging/

   • Continuous Monitoring: Real-time performance monitoring and alerting on applications, servers, and networks, using tools like Prometheus, Grafana, or ELK Stack (Elasticsearch, Logstash, and Kibana).
   • Incident Response: Detecting and addressing performance bottlenecks, bugs, or security issues in production environments. Feedback loops provide insights for development teams to improve the product.

5. Security

   • DevSecOps: Integrating security practices throughout the development and operational processes. Security automation tools like vulnerability scanners (e.g., SonarQube, Aqua) help ensure compliance and reduce risks.

6. Scalability and Reliability

   • High Availability: Ensuring systems are designed for fault tolerance and reliability, often with cloud-native architectures.
   • Elastic Scaling: Automating scaling based on demand using cloud platforms such as AWS, Azure, and GCP.

7. Virtualization

   • Cloud Computing: Use of public or private cloud services for on-demand resources and infrastructure.
   • Containerization: Packaging applications with all dependencies to run consistently across environments using Docker and Kubernetes for orchestration.

8. Configuration Management

   • Standardization: Ensuring system configurations are consistent and repeatable across environments through tools like Puppet or Chef.

In summary, DevOps is about improving speed, quality, and efficiency in software delivery through a combination of automation, continuous feedback, and cultural collaboration. It touches every phase of the software lifecycle, from planning to development, deployment, and monitoring.

Further Reading

1. Linux Directory Structure - Hierarchy
2. Linux Directory Structure (File System Structure)
3. How to use GitHub Personal Access Token (PAT) in VSCode