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SDLC Solutions for the Configuration Discipline

The configure discipline requires teams to address the operational requirements related to the code. In the configure phase, configuration code handles the provisioning of resources and supporting infrastructure. This allows DevOps teams to ship new code into a production environment accurately and reliably every time.

Configuration management are policy-based sets of controls and automated code management tools that ensure the environment can scale reliably, repeatedly and that new releases remain in the desired state. Changes to the states use the configuration information to self-correct, thereby guaranteeing the stability of the entire environment.

Configuration Management

Configuration management is a set of principles that applies discipline to any asset in an organization. In process management, configuration is how teams identify tasks, tools, documents, equipment, components, and manage the revisions or versions related to them.

The configuration management discipline controls changes to the identified items via formal process controls, while also auditing and accounting on the status of each item. While the tools used automates many of these tasks, the enforcement of the application states over the entire lifecycle of the DevOps cycle makes building and releasing code frequently possible.

Infrastructure as Code

Using machine-readable definition files, provisioning of resources becomes possible with infrastructure as code (IaC) tools and practices. IaC arose from issues regarding the scalability of infrastructure with applications hosted in the cloud. Microservices assist with scaling the applications as required automatically, saving enterprises on cost, ensuring application reliability, and reducing the overall risk.

Approaches include declarative, imperative or intelligent (environment aware) definitions. The declarative approach focuses on what code states should be. Imperative establishes how the code should change to meet the necessary state, while the intelligent approach determines why this is the desired state.

Virtualization | Containerization

Containerization is the practice of creating lightweight applications packaged and configured to run in any environment. This approach to virtualization enables teams to develop enterprise-scale software that runs anywhere, scales correctly, and eliminates infrastructure dependencies. Containerization is the easiest way of modernizing legacy applications for the cloud.

Containers utilize only the kernel of the host machine and remain operating system independent. This reduces the resource consumption as applications are entirely contained in their own environment, only utilizing machine resources during runtime. Using this method of virtualization with microservice architecture enables the DevOps team to deliver new features and updates to applications securely, without risk and adequately integrated with the host environment.


Cloud development and DevOps naturally work well together. The method of creating, testing, releasing, and monitoring software within a cloud environment enables geographical separation of teams without compromising code integrity.

Centralized storage, retrieval, management, and deployment into the cloud provides added automation capabilities. This means the DevOps cycles can speed up, delivering code directly to customers quickly and reliably. Cloud service providers already manage the elastic provisioning and containerization of applications, which reduces overhead in both storage and resource consumption.

Serverless Code

Applications using serverless code consume resources only when an event triggers an operation. The primary benefit of this is that companies reduce costs associated with infrastructure for cloud services. When an event occurs, code automatically uploads to the environment, executes the operations, and removes itself once completed.

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