DevOps Services

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Continuous Integration

Continuous Integration: Continuous Integration (CI) is a development practice where developers integrate code into a shared repository frequently, preferably several times a day. Each integration can then be verified by an automated build and automated tests.

One of the key benefits of integrating regularly is that you can detect errors quickly and locate them more easily. As each change introduced is typically small, pinpointing the specific change that introduced a defect can be done quickly.

In recent years CI has become a best practice for software development and is guided by a set of key principles.

Continuous Testing

Continuous testing in DevOps is a type of software testing that involves testing at every stage of the development life cycle. The goal of continuous testing is to evaluate the quality of the software as part of a continuous delivery process, by testing early and often.

The benefits of continuous testing include:

  • Improved code quality and mitigating the potential of manual errors.
  • Integrates seamlessly into the DevOps automation process.
  • Enables users to create an agile, reliable process in hours, rather than months
  • Mitigates business risks with agile development that focuses on business expectations
  • Provides across-the-board test environment access with service virtualization

Continuous Delivery vs. Continuous Deployment

With continuous delivery, every code change is built, tested, and then pushed to a non-production testing or staging environment. There can be multiple, parallel test stages before a production deployment. The difference between continuous delivery and continuous deployment is the presence of a manual approval to update to production. With continuous deployment, production happens automatically without explicit approval.

Continuous delivery automates the entire software release process. Every revision that is committed triggers an automated flow that builds, tests, and then stages the update. The final decision to deploy to a live production environment is triggered by the developer.

Microservices

Microservices describes the architectural pattern of composing a distributed application from separately deployable services that perform specific business functions and communicate over web interfaces. DevOps teams encapsulate individual pieces of functionality in microservices and build larger systems by composing the microservices like building blocks.

Microservices provide many benefits over monolithic architectures. They can remove single points of failure (SPOFs) by ensuring issues in one service do not crash or impact other parts of an application. Individual microservices can be scaled out independently to provide additional availability and capacity. DevOps teams can extend functionality by adding new microservices without unnecessarily affecting other parts of the application.

Using microservices can increase team velocity. DevOps practices, such as Continuous Integration and Continuous Delivery, are used to drive microservice deployments. Microservices nicely complement cloud-based application architectures by allowing software development teams to take advantage of several patterns such as event-driven programming and autoscale scenarios.

Infrastructure as code

Infrastructure as code (IaC) tools allow you to manage infrastructure with configuration files rather than through a graphical user interface. IaC allows you to build, change, and manage your infrastructure in a safe, consistent, and repeatable way by defining resource configurations that you can version, reuse, and share.

Using Terraform has several advantages over manually managing your infrastructure:

  • Terraform can manage infrastructure on multiple cloud platforms.
  • The human-readable configuration language helps you write infrastructure code quickly.
  • Terraform’s state allows you to track resource changes throughout your deployments.
  • You can commit your configurations to version control to safely collaborate on infrastructure.
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