DevOps Glossary

Platform-as-a-Service specifically designed for hosting and scaling Django web applications, simplifying deployment and management.

Platform for developing, shipping, and running applications in containers, enabling consistent deployment across different environments.

A lightweight, portable unit that packages an application and its dependencies, allowing it to run consistently across different environments.

Process of collecting, storing, and analyzing logs generated by Docker containers.

Mini-Heroku powered by Docker, helping developers quickly deploy their applications.

Software design approach focusing on modeling software to match a domain according to input from domain experts.

Cloud-native continuous integration and delivery platform that uses a simple YAML configuration file to define and execute pipelines.

Security testing methodology that analyzes a running application to find vulnerabilities.

IT infrastructure that can be programmatically allocated and managed, often associated with cloud computing and Infrastructure as Code.

Platform for application performance management, AI operations, cloud infrastructure monitoring, and digital experience management.

Amazon Elastic Compute Cloud; web service providing resizable compute capacity in the cloud.

Managed Kubernetes service for easy deployment on AWS without the need to install and operate your own Kubernetes clusters.

Distributed computing paradigm that brings computation and data storage closer to the location where it is needed.

Distributed, RESTful search and analytics engine capable of addressing a growing number of use cases.

Ability of a system to automatically scale up or down based on demand, crucial for efficient resource utilization in cloud environments.

Design approach where the architecture of a system evolves gradually as the system is developed.

Group that helps other teams to deliver software more effectively, often by providing tools and platforms.

Bundling of data with the methods that operate on that data, restricting direct access to some of an object's components.

Methodology used to test whether the flow of an application is performing as designed from start to finish.

Approach to protecting computer networks that are remotely bridged to client devices.

Use of software and architectural principles to integrate enterprise applications.

Overarching strategy and implementation of security measures across an entire organization.

Set of conditions under which a piece of software is developed, tested, or run, including hardware, configuration, and other software.

Dynamic-named value that can affect the way running processes will behave on a computer.

Different setups where software can be run, such as development, testing, staging, and production.