Search Results for "luci-app"

Kamal offers zero-downtime deploys, rolling restarts, asset bridging, remote builds, accessory service management, and everything else you need to deploy and manage your web app in production with Docker. Originally built for Rails apps, Kamal will work with any type of web app that can be containerized. Kamal seeks to bring the advance in ergonomics pioneered by these commercial offerings to deploying web apps anywhere. Whether that’s low-cost cloud options without the managed-service markup from the likes of Digital Ocean, Hetzner, OVH, etc, or it’s your own colocated bare metal. ...

...The configuration.serving.knative.dev resource maintains the desired state for your deployment. It provides a clean separation between code and configuration and follows the Twelve-Factor App methodology. Modifying a configuration creates a new revision.

Makes Linux applications self-contained by copying in the libraries and plugins that the application uses, and optionally generates an AppImage. Can be used for Qt and other applications. This Linux Deployment Tool, linuxdeployqt, takes an application as input and makes it self-contained by copying in the resources that the application uses (like libraries, graphics, and plugins) into a bundle. The resulting bundle can be distributed as an AppDir or as an AppImage to users, or can be put...

KubeVela is a modern software delivery platform that makes deploying and operating applications across today's hybrid, multi-cloud environments easier, faster and more reliable. KubeVela is infrastructure agnostic, programmable, yet most importantly, application-centric. It allows you to build powerful software, and deliver them anywhere. Declare your deployment plan as workflow, run it automatically with any CI/CD or GitOps system, extend or re-program the workflow steps with CUE. Glue and...

...It reduces the risk of introducing a new software version in production by gradually shifting traffic to the new version while measuring metrics and running conformance tests. Flagger implements several deployment strategies (Canary releases, A/B testing, Blue/Green mirroring) using a service mesh (App Mesh, Istio, Linkerd, Kuma, Open Service Mesh) or an ingress controller (Contour, Gloo, NGINX, Skipper, Traefik, APISIX) for traffic routing. For release analysis, Flagger can query Prometheus, InfluxDB, Datadog, New Relic, CloudWatch, Stackdriver or Graphite and for alerting it uses Slack, MS Teams, Discord, and Rocket. Flagger can be configured with Kubernetes custom resources and is compatible with any CI/CD solutions made for Kubernetes. ...

...To be able to make the most of Kubernetes, you need a set of cohesive APIs to extend in order to service and manage your apps that run on Kubernetes. Think of Operators as the runtime that manages this type of app on Kubernetes. The Jaeger Operator can be installed in Kubernetes-based clusters and is able to watch for new Jaeger custom resources (CR) in specific namespaces, or across the entire cluster. There is typically only one Jaeger Operator per cluster, but there might be at most one Jaeger Operator per namespace in multi-tenant scenarios.

...It locates or installs the required Python runtime, provisions an isolated virtual environment, installs your project’s pip requirements, and handles any external tools requirements or dependencies (e.g., FFmpeg) with version checks and auto-download/extract on Windows/macOS/Linux. The Qt-based installer can scaffold pyappexec.ini, copy/rename the launcher, and (on macOS) bundle a self-contained .app with icons. The optional run-time GUI captures logs, while CLI mode stays lean for automation. Config is driven by a simple INI per OS, so app IDs, entry points, requirements, and paths are declarative. PyAppExec also manages user-level caches/state, log rotation, and GUI suppression preferences letting you ship Python apps without asking end users to touch Python, virtualenvs, or package managers.

...It automates the process of building OTP releases, handling steps like compilation, dependency bundling, and generating start/stop scripts. Releases built with Distillery include everything needed to run an Elixir app in production, even on machines without Elixir or Erlang installed. It also supports features like configuration providers, hot upgrades, and customizable release pipelines. By managing environment-specific settings, it simplifies deploying the same app to different systems without manual reconfiguration. Distillery has historically been a key tool for production Elixir deployments before Elixir added built-in release functionality, and it remains valuable for teams seeking flexibility in their deployment workflows.