Search Results for "authoring"

kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure (e.g., Config Connector, Crossplane) at scale by manipulating declarative Configuration as Data. Any general-purpose or domain-specific language can be used to create functions to transform and/or validate the YAML KRM input/output format, but we provide SDKs to simplify the function authoring process, in Go, Typescript, and Starlark, a Python-like embedded language. ...

Timoni is a package manager for Kubernetes, powered by CUE and inspired by Helm. The Timoni project strives to improve the UX of authoring Kubernetes configs. Instead of mingling Go templates with YAML like Helm, or layering YAML on top of each-other like Kustomize, Timoni relies on cuelang's type safety, code generation and data validation features to offer a better experience of creating, packaging and delivering apps to Kubernetes. Note that Timoni in under active development and is still in its infancy. ...

...The repository also reflects an active emphasis on resource development and reconciliation reliability, including a newer direct development approach intended to provide a more Kubernetes-native authoring experience.

kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure (e.g., Config Connector, Crossplane) at scale by manipulating declarative Configuration as Data.

...Operators, being cluster extensions, should follow that. OLM has a concept of catalogs from which Operators are available to install and keep up to date. In this model, OLM allows maintainers granular authoring of the update path and gives commercial vendors a flexible publishing mechanism using channels.

...Because the included blueprints are described as production-ready and aligned with Google recommendations, the project is particularly useful for organizations establishing landing zones, repeatable environment patterns, and governed infrastructure workflows. The presence of a dedicated CLI also expands the project beyond static modules by giving users tooling support for authoring and operating blueprint-based infrastructure.

...With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment. With native support for bring-your-own-algorithms and frameworks, SageMaker offers flexible distributed training options that adjust to your specific workflows. ...