Open Source Deployment Tools - Page 4

docker-jitsi-meet is an official Docker-based deployment solution for Jitsi Meet, a secure and scalable open-source video conferencing platform. It uses Docker Compose to orchestrate the necessary services (web, Prosody, Jicofo, JVB) and enables quick deployment of a self-hosted Jitsi instance with TLS support and custom configuration.

Flagger is a progressive delivery tool that automates the release process for applications running on Kubernetes. 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. Since Flagger is declarative and reacts to Kubernetes events, it can be used in GitOps pipelines together with tools like Flux.

glu is a model-driven deployment and orchestration platform aimed at automating complex rollouts across fleets of machines. It represents desired system state in a declarative model and coordinates agents to converge reality with that model, handling steps like install, start, verify, and promote. The system provides auditing and versioning of deployments, so operators can trace what changed, when, and why. A central console and APIs allow visualizing the topology, triggering rollouts, and performing controlled actions such as canaries and rolling updates. Under the hood it coordinates distributed nodes, tolerating partial failures while continuing to drive toward the target state. By separating deployment recipes from environment specifics, glu encourages repeatable, testable releases for multi-service stacks.

Rapid deployment Kit to build Green Cloud Computing Environment, based on DRBL, DRBL-Virt, Xen, KVM, OpenNebula, libvirt, etc.

This project exists only to keep the mmmv_userspace_distro_t1 repository mirrors smaller.