Myrka is an open source streaming stack designed for low latency live video and interactive broadcasts. It combines modern WebRTC ingest with scalable relay and recording capabilities for creators and production teams.
Whether you are running a small community channel or a professional broadcast workflow, Myrka aims to deliver predictable performance and straightforward operations.
| Attribute | Details | Impact | Typical Values |
|---|---|---|---|
| Primary Use Case | Live video streaming and broadcast infrastructure | Supports real time interactivity and recording | Live events, studios, webcasts |
| Transport Protocol | WebRTC with SRT fallback options | Low latency, firewall traversal | UDP based, STUN/TURN support |
| Scaling Model | Stateless relays, horizontal scaling | Handles audience spikes with edge nodes | Kubernetes, VM, Docker deployments |
| License | Open source with permissive licensing | Allows on prem and cloud flexibility | Apache 2.0 style |
Architecture and Deployment Patterns
Core Components
Myrka organizes ingest, distribution, and recording into purpose-built services. The ingest layer negotiates WebRTC streams and validates sources, while the relay layer optimizes distribution across regions.
Operations teams can run compact nodes for testing or scale to multi zone clusters. Resource profiles can be tuned per service to balance CPU, memory, and network throughput.
Operational Stability and Monitoring
Health Checks and Alerts
Built in metrics expose stream health, latency, and error rates. Standard monitoring integrations export data to Prometheus and similar platforms for dashboards and alerting.
Automation can restart failed pipelines and trigger graceful fallbacks, reducing manual intervention during critical broadcasts.
Security and Access Controls
Stream Protection and Authentication
Myrka supports token based authentication and signed URLs for stream access. Role based permissions restrict who can publish or view specific channels.
Encryption in transit is enforced by default, with options for on demand key rotation and audit logging of access events.
Performance Tuning and Best Practices
Optimizing for Viewer Experience
Adjusting encoder settings, buffer sizes, and relay topology can reduce jitter and improve playback smoothness. Testing across network conditions helps identify optimal configurations.
CDN integration and edge caching further lower latency for distributed audiences while conserving origin bandwidth.
Getting Started with Myrka
- Review hardware and bandwidth requirements for expected stream count and resolution.
- Deploy a minimal cluster using provided Docker compose or Helm charts for quick evaluation.
- Configure ingest tokens and role based access before opening streams to production sources.
- Integrate monitoring and alerting to detect issues early and meet broadcast reliability targets.
- Scale relay nodes geographically to reach audiences with low latency and consistent throughput.
FAQ
Reader questions
What deployment models does Myrka support for live streaming?
Myrka supports single node, clustered, and hybrid cloud on prem or managed Kubernetes deployments. Each model targets different scale, resilience, and latency requirements.
Can Myrka ingest streams from legacy hardware encoders?
Yes, with protocol bridging such as SRT or RTMP passthrough, Myrka can accept streams from hardware encoders and integrate them into WebRTC based workflows.
How does Myrka handle failover and stream continuity during outages?
It offers automatic relay failover, redundant ingest paths, and session resumption to minimize interruptions during network or node failures.
What observability and analytics are available out of the box?
Built in metrics, stream dashboards, and WebRTC specific telemetry provide insight into latency, packet loss, and viewer counts without external tooling.