DevOps Glossary

Kubernetes object for creating recurring scheduled tasks, allowing automated execution of jobs at specified intervals.

Observing and tracking the health, performance, and resource usage of Kubernetes clusters and applications.

Method of packaging, deploying, and managing a Kubernetes application using custom resources and controllers.

Smallest deployable unit in Kubernetes, consisting of one or more containers sharing storage and network resources.

Quality of Service classes in Kubernetes that determine how pods are scheduled and evicted based on resource requirements.

Identical copy of a pod, used to ensure specified number of pod instances are running at any given time.

Objects in Kubernetes that manage a set of pods, such as Deployments, StatefulSets, and DaemonSets.

Insufficient tools, infrastructure, skills, or personnel needed to implement and maintain efficient CI/CD pipelines and automation processes.

Metric measuring the render time of the largest image or text block visible within the viewport.

Time between the initiation and completion of a process, often used in software development to measure efficiency.

Metric measuring the time it takes for a commit to be deployed to production, indicating the efficiency of the development process.

API that unintentionally exposes sensitive data or functionality, potentially leading to security vulnerabilities and data breaches.

Methodology aimed at maximizing customer value while minimizing waste, applicable to various industries including software development.

Application of lean manufacturing principles to IT operations, focusing on eliminating waste and improving efficiency in IT processes.

Outdated computer system, programming language or application software that is still in use.

Open-source, Unix-like operating system kernel that forms the basis of many popular distributions, known for its stability and flexibility.

Linux kernel process that terminates applications in low memory situations to prevent system crashes.

Device that distributes network or application traffic across multiple servers to ensure no single server bears too much demand.

Process of distributing network traffic across multiple servers to ensure no single server bears too much demand.

Vulnerability allowing an attacker to include files on a server through the web browser.

Process of collecting and centralizing log data from multiple sources into a single, searchable repository for analysis and monitoring.

Process of examining log files to identify events, patterns, or anomalies, crucial for troubleshooting and security monitoring.

Process of forwarding log data from its origin to a centralized log management system.

Practice of recording all modifications made to a system or application, crucial for auditing and troubleshooting.

Record of events occurring within an organization's systems and networks, crucial for troubleshooting and security analysis.