I recently migrated a production-grade stream from a desktop OBS setup to a cloud-based encoder. If you're considering the same move, you're probably juggling questions about quality, latency, cost, failover and the myriad small settings that make or break a broadcast. I wrote this checklist from the trenches — the moments where a misconfigured keyframe interval or a neglected rate control setting cost me viewers — so you can move to a cloud encoder with confidence and without sacrificing the polish your audience expects.
Why move to a cloud encoder?
Before we dive into the checklist, a quick note on why you'd do this at all. Cloud encoders (AWS Elemental, Zencoder, Wowza Cloud, Streamroot, SRT gateways, or managed platforms like Mux and Bitmovin) give you:
- Scalability — spin up encoding instances for spikes in traffic.
- Reliability — geographic edge routing and redundancy reduce single-point-of-failure risk.
- Operational simplicity — centralized configs, CI-friendly deployments, and integration with CDNs and analytics.
- Edge features — cloud-only features like server-side ad insertion, DRM or multi-bitrate transmuxing.
Pre-migration audit — what to inventory
Start by cataloguing everything you currently do on desktop OBS and how the audience consumes your stream. This inventory will be your blueprint for replicating (and improving) the output in the cloud.
- Input sources: list cameras, microphones, NDI sources, game capture, browser sources and remote guests (Discord, Zoom, RTMP/RTSP feeds).
- Scenes and transitions: note overlays, animated assets, lower-thirds, and scene switch automation.
- Encoding settings: bitrate, encoder (x264 vs NVENC), profile, preset, keyframe interval, rate control (CBR/VBR), resolution and framerate.
- Output targets: platforms and endpoints (Twitch, YouTube, custom RTMP and CDN endpoints), stream keys, ingest URLs and any platform-specific requirements.
- Monitoring & alerts: how you currently monitor stream health — OBS stats, streamlabs, third-party monitors, Discord notifications.
- Recording & VOD: local recording settings and retention needs; do you want server-side recording in the cloud?
- Latency tolerance: live low-latency interaction vs broadcast-style delay.
- Bandwidth profile: typical upstream bandwidth and headroom for transient spikes.
Choose the right cloud encoder and architecture
Not all cloud encoders are created equal. Ask these questions when evaluating providers:
- Does the service accept your input types (RTMP, SRT, WebRTC, HLS, RTSP)?
- Can it reproduce your bitrate ladder and profiles? Is hardware-accelerated encoding available for lower cost and CPU usage?
- Does it support server-side graphics or stitching if you need overlay rendering in the cloud (some platforms offer server-side compositing)?
- What monitoring and metrics are exposed (bitrate, dropped frames, encoder CPU, segment generation times)?
- How is authentication and key management handled for endpoints?
- What's the pricing model: instance-hours, per-minute encoding, egress costs? Estimate monthly spend with traffic projections.
I tend to prototype with Bitmovin or Mux for multi-bitrate HLS/DASH and use AWS Elemental or Wowza Cloud for heavy-lift, custom pipelines. For low-latency interactive streams, SRT or WebRTC-focused services are better than classic RTMP-to-HLS flows.
Functional checklist — replicate critical OBS features
Not everything in OBS has a 1:1 cloud equivalent. Use this checklist to ensure parity or acceptable alternatives:
- Scene management: If you rely on complex scene logic or browser-based overlays, decide whether to keep rendering client-side (send a clean feed to cloud) or rebuild overlays server-side using HTML5 renderers.
- Audio mixing and processing: Ensure the cloud encoder can accept multi-channel inputs or that you send a pre-mixed stereo feed. Cloud-based audio processing for noise reduction or compression varies by provider.
- Input reliability: Use SRT for lossy networks and enable reconnection/backoff strategies. For remote guests, consider sending them to a centralized mixer (OBS Ninja, SRT, or a dedicated guest ingress) before cloud encoding.
- Keyframe interval: Keep a 2-second keyframe (or platform-recommended interval) to preserve stream compatibility and reduce latency.
- Codec & profile: Match codec (H.264 baseline/main/high) and profile settings. Cloud hardware encoders may default to different profiles — test to verify decoder compatibility on target platforms.
- Rate control: Prefer CBR for platform ingest compatibility; use constrained VBR if supported and if you need bitrate efficiency.
- Multi-bitrate ladder: Define the variants you need (1080p60 @ 6–8 Mbps, 720p60 @ 3–4 Mbps, 480p @ 1.2–2 Mbps, etc.) and ensure the cloud encoder can transcode or pass through as required.
- Closed captions and metadata: Verify support for EIA-608/708 captions or embedded timed metadata and how the cloud encoder preserves/passes them through.
- Server-side recording: Decide whether to rely on local recordings or move VOD generation into the cloud for immediate availability and simpler retention policies.
Testing plan — test early, iterate fast
Test in controlled stages and use a repeatable checklist for each stage. My playbook:
- Stage 1 — Lab test: Use a prerecorded file as input to the cloud encoder. Validate bitrate, keyframes, and output formats without live complexity.
- Stage 2 — Local live test: Stream from your machine to the cloud encoder using the exact OBS settings you'll use in production. Check for drops, latency and audio sync.
- Stage 3 — Remote guest test: Add one remote contributor and test reconnection scenarios. Observe packet loss tolerance and sync drift.
- Stage 4 — Stress test: Simulate bitrate spikes and network issues. Confirm auto-scaling and failover behavior if using distributed cloud instances.
- Stage 5 — Platform integration: Push encoded outputs to your CDN or platforms and confirm adaptive behavior and playback on multiple devices (desktop, mobile, smart TV).
Monitoring and observability
Outages and quality regressions still happen. Make sure you can detect and act quickly.
- Integrate telemetry into your dashboard: packet loss, dropped frames, encoder CPU/GPU, output bitrate and segment generation times.
- Set up automated alerts for bitrate drops, repeated reconnection attempts or failed segment builds.
- Implement synthetic playback checks at edges to ensure HLS/DASH segments are deployable and that manifests update correctly.
- Keep an eye on CDN egress costs and configure alert thresholds for unexpected traffic surges.
Operational and rollback checklist
Have a rollback plan and operational playbook before you flip the switch:
- Keep your OBS setup ready as a hot fallback. I keep a “fallback ingest” stream key and a screenshot-based checklist to restart a desktop encode in under 3 minutes.
- Document runbook steps for common failures: input loss, encoder crash, CDN misconfiguration.
- Maintain versioned configs in Git (yes, treat encoder configuration like code). This makes reproducing and diagnosing regressions far simpler.
- Do a controlled cutover: route a small percentage of traffic to the cloud encoder first (canary) before switching the primary ingest.
| Quick checklist | Status |
|---|---|
| Inventory inputs and outputs | Done |
| Select encoder & confirm protocol support (SRT/RTMP/WebRTC) | Done |
| Match keyframe, codec, rate-control | Pending |
| Run lab and live tests | In progress |
| Set up monitoring & alerts | Pending |
| Plan rollback & keep OBS hot | Done |
Moving to a cloud encoder doesn't have to be risky — but it does require deliberate parity checks, testing and operational hygiene. If you want, I can share a downloadable JSON config template for a common Bitmovin/Elemental pipeline or walk through a live migration plan tailored to your current OBS scene structure and audience profile.