Search Results for "ofn-layer-modes"

...Pipelines are defined declaratively and support parallel jobs, dependency fan-outs, and matrix builds to exercise many environments at once. First-class Docker and Kubernetes workflows, along with layer caching and artifacts, help keep containerized builds fast and reproducible. Secrets management, environment promotion, and approvals enable robust delivery gates from pull request to production. The system integrates with popular VCS providers and chat tools, surfacing real-time status, logs, and insights so teams can diagnose failures quickly. ...

...Strong security is a core tenet of Pow's philosophy, which is why Pow by default uses short lived sessions. If your app requires stateless tokens, the authorization layer can be replaced in minutes. Pow has been used in countless production apps and is a "batteries included" library for production. The cache backend store used for session storage can be replaced with any key-value store of your choice. The built-in Mnesia cache module works both for clusters and single-machine persistence, which can auto-connect to the cluster on startup and self-heal after netsplit.

live_svelte bridges Phoenix LiveView with Svelte components, letting you blend server-driven UIs and client-side interactivity in a single application. It mounts Svelte components from HEEx templates and wires props and events through a small interop layer, so data flows cleanly between LiveView assigns and Svelte state. The integration supports dispatching client events back to LiveView and pushing updates down to the component without writing custom glue for every case. This makes it straightforward to adopt Svelte for isolated, highly interactive widgets—charts, editors, complex form controls—without abandoning LiveView’s real-time model. ...

Nx-powered Neural Networks for Elixir. Axon consists of the following components. Functional API – A low-level API of numerical definitions (defn) of which all other APIs build on. Model Creation API – A high-level model creation API which manages model initialization and application. Optimization API – An API for creating and using first-order optimization techniques based on the Optax library. Training API – An API for quickly training models, inspired by PyTorch Ignite. Axon provides...

...Inspired by Ruby’s Grape, it lets you describe endpoints declaratively—paths, verbs, and nested scopes—while composing reusable middleware via Plug. Strong parameter parsing and validators help keep controllers clean by moving input checking and coercion into the route layer. Built-in support for namespacing and API versioning simplifies rolling changes or maintaining multiple client generations side by side. Error handling, helpers, and content negotiation are wired into the DSL, so common cross-cutting concerns are consistent across endpoints. Because Maru sits on Plug and Cowboy, it retains Elixir’s performance and concurrency while making API development fast and readable.