Auto-scale your telehealth video calls to eliminate drops during peaks.
Teams building telehealth platforms for large enterprises suffer scalability failures during peak usage, causing dropped calls and poor patient experiences.
TeleScaleGuard monitors WebRTC session loads in real-time and automatically spins up additional media servers across cloud providers. It seamlessly redistributes sessions without interrupting calls, ensuring 99.99% uptime for enterprise telehealth platforms. Dev teams integrate via simple SDK for effortless scalability.
Development teams building telehealth platforms for large enterprises
Multi-provider auto-failover with zero-config setup, optimized specifically for telehealth session patterns.
professional
Dashboard showing live session counts, CPU/memory usage, and peak predictions.
Configure thresholds for auto-provisioning servers on AWS/GCP/Azure.
Live migration of calls to underloaded servers without drops.
Drop-in JS SDK for WebRTC signaling with one-line setup.
Slack/Email alerts for scaling events and near-misses.
Historical charts of peaks, costs, and efficiency.
Add support for niche media servers.
ML-based forecasting of usage spikes.
Enterprise-grade tenant separation.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| api_key | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| team_id | uuid | No |
| threshold_cpu | int | No |
| max_servers | int | No |
| providers | text[] | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| team_id | uuid | No |
| server_id | text | No |
| status | text | No |
| started_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| team_id | uuid | No |
| type | text | No |
| sent_at | timestamp | No |
Relationships:
/api/sessionsRegister new WebRTC session
/api/metricsFetch real-time load metrics
/api/rulesUpdate scaling rules
/api/alertsList recent alerts
No auto-scaling
5k sessions/mo
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 20 | 10% | $50 | $600 |
| Month 6 | 150 | 15% | $450 | $5,400 |
Scale your platform automatically during peaks with zero downtime.
Post in r/telehealthdev and IndieHackers about beta access for enterprise teams; DM 10 dev leads from LinkedIn telehealth job postings; Offer free 3mo Pro to first integrators via Twitter outreach to telehealth startups.
Reliable core WebRTC
No auto-multi-provider scaling
Peak-specific auto-failover at fixed low cost
Low latency
Manual scaling management
Hands-free enterprise scaling
Data from session patterns trains proprietary scaling algorithms, creating lock-in via optimized cost savings.
Post-COVID telehealth boom with rising peak demands from chronic care expansions.
Cloud API rate limits during scales
Queue requests and multi-provider fallback
Teams stick to incumbents
Free tier for proof-of-value
SDK adoption hurdles
Detailed docs and live demos
Success: 3 confirm peak drops issue
Success: 2 beta users integrate
Success: 10 signups
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