DevOps is a set of practices, tools, and a cultural mindset that integrates software development (Dev) and IT operations (Ops) to improve collaboration, automate workflows, and accelerate software delivery with high reliability.

Index

Continuous Integration (CI)

Continuous Integration (CI) is a development practice where code changes are automatically built, tested, and merged into a shared repository multiple times a day to detect and fix issues early.

Continuous Delivery (CD)

Continuous Delivery (CD) is a software development practice where code changes are automatically tested and prepared for deployment to production, ensuring that software can be released at any time with minimal effort.

Continuous Deployment (CD)

A deployment model refers to a specific approach or strategy for deploying and delivering software applications or systems. It outlines how an application or system is made available to end-users, whether they are internal employees, external customers, or other systems. Deployment models encompass various aspects, including the infrastructure, architecture, distribution, scalability, and management of the application. They play a crucial role in determining how an application is hosted, maintained, and accessed.

Deployment models can vary significantly based on factors such as the application’s requirements, the organization’s goals, and the target environment.

Here are some common deployment models:

  1. On-Premises Deployment: In this model, the application is deployed within an organization’s own physical data center or infrastructure. The organization is responsible for provisioning, managing, and maintaining the hardware and software.
  2. Cloud Deployment: Applications are hosted on cloud infrastructure provided by cloud service providers like AWS, Azure, or Google Cloud. Organizations rent resources from the cloud provider, reducing the need for on-premises hardware management.
  3. Hybrid Cloud Deployment: A combination of on-premises and cloud resources is used. Some components or workloads are deployed in the cloud, while others remain on-premises. This model offers flexibility and scalability.
  4. Edge Computing Deployment: Applications are deployed on edge devices or servers located close to the data source or end-users. This is suitable for scenarios requiring low latency and real-time processing.
  5. Serverless Deployment: Applications are broken down into small, event-driven functions. Cloud providers manage the underlying infrastructure, and users are billed based on the actual compute usage.
  6. Containerized Deployment: Applications and their dependencies are packaged into containers, ensuring consistency across different environments. Containers can be deployed on any platform supporting containerization technology.
  7. Microservices Deployment: Applications are decomposed into small, independent microservices. Each microservice can be developed, deployed, and scaled independently, promoting flexibility and scalability.
  8. Web Deployment: Web applications are deployed on web servers and made accessible over the internet. Common web servers include Apache, Nginx, and Microsoft IIS.
  9. Mobile Deployment: Mobile applications are distributed through app stores (e.g., Apple App Store, Google Play Store) and installed on smartphones and tablets.