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Kubernetes (/ ˌ k (j) uː b ər ˈ n ɛ t ɪ s,-ˈ n eɪ t ɪ s,-ˈ n eɪ t iː z,-ˈ n ɛ t iː z /, K8s) [3] is an open-source container orchestration system for automating software deployment, scaling, and management.
In software engineering, containerization is operating-system–level virtualization or application-level virtualization over multiple network resources so that software applications can run in isolated user spaces called containers in any cloud or non-cloud environment, regardless of type or vendor. [1]
You aren't gonna need it" [1] [2] (YAGNI) [3] is a principle which arose from extreme programming (XP) that states a programmer should not add functionality until deemed necessary. [4] Other forms of the phrase include "You aren't going to need it" (YAGTNI) [ 5 ] [ 6 ] and "You ain't gonna need it".
Google Kubernetes Engine (GKE) or GKE on-prem offered as part of Anthos platform [11] [12] – Containers as a Service based on Kubernetes. Cloud Functions – Functions as a Service to run event-driven code written in Node.js, Java, Python, or Go. Cloud Run – Compute execution environment based on Knative. [13]
Kubeflow is an open-source platform for machine learning and MLOps on Kubernetes introduced by Google.The different stages in a typical machine learning lifecycle are represented with different software components in Kubeflow, including model development (Kubeflow Notebooks [4]), model training (Kubeflow Pipelines, [5] Kubeflow Training Operator [6]), model serving (KServe [a] [7]), and ...
Python supports multiple programming paradigms, including object-oriented, imperative, functional and procedural paradigms. It features a dynamic type system, automatic memory management, a standard library, and strict use of whitespace. [17] Like other dynamic languages, Python is often used as a scripting language, but is also used in a wide ...
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages. Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9] In 2024, Anaconda Inc. has about 300 employees [12 ...
Airflow is written in Python, and workflows are created via Python scripts. Airflow is designed under the principle of "configuration as code". While other "configuration as code" workflow platforms exist using markup languages like XML, using Python allows developers to import libraries and classes to help them create their workflows.