Two Releases a Month to Twenty a Day: DevOps for Telemedicine
At a glance
CLIENT
Fast-growing telemedicine platform
SERVICE
- DevOps Enablement, Reliability Engineering, API Integration
INDUSTRY
- Healthcare & Telemedicine
The client’s video-visit platform expanded from niche pilots to 7+ million monthly sessions across North America and Europe. Growth exposed operational bottlenecks: deployments required weekend freezes, rollback paths were manual, and mean time to recovery (MTTR) hovered around 75 minutes due to brittle scripts and snowflake environments. Product teams shipped 2–3 releases per month, but incident volume and infra spend climbed in parallel, threatening SLA commitments during seasonal surges.
LeanCoded delivered a production-grade DevOps operating model with end-to-end automation, policy-as-code, and real-time observability. We introduced standardized pipelines, immutable environments, and progressive delivery for critical APIs and media services. Within two quarters, deployment frequency increased to 20+ safe releases per day, MTTR dropped to under 12 minutes, p95 call setup time improved by 31%, and cloud run-rate fell by 24% without sacrificing headroom for peak traffic.
Cutting Lead Time Without Raising Risk
We began with a value-stream map of build–test–deploy and traced failure patterns across environments. Container images, infrastructure, and application configs were versioned and validated in a single pipeline. Release gates enforced security checks, contract tests, and performance budgets before promotion. Acting as an api development company, we formalized provider and consumer contracts for partner integrations (EHR, payment, and video gateways) so that changes could ship continuously without breaking downstream clients.
To sustain velocity, we paired engineering squads with platform coaches under a shared enablement backlog. Our devops services introduced trunk-based development, automated rollbacks, and per-service SLOs with error-budget policies. We added a digital adoption platform to guide internal users through new workflows in pipelines and dashboards, which reduced “how do I release X?” tickets by 36% and cut onboarding time for new engineers from 4 weeks to 9 days.
Reliability and Cost Discipline, Engineered In
Availability targets were reworked around patient-critical journeys (auth → waiting room → video start). Canary + blue/green strategies limited blast radius to 1–5% of traffic during first exposure. Multi-AZ failover drills became routine, and incident playbooks were codified in runbooks. With cloud cost optimization solutions—rightsizing, autoscaling policies, and tiered storage—compute and storage spend per successful session decreased by 24%, while reserved capacity ensured 3.5× surge tolerance for flu-season peaks. For external partners, api integration support (mock servers, consumer-driven contracts, sandbox SLAs) cut integration lead time from 6–8 weeks to <2 weeks.
Progressive delivery, measurable safety
Golden paths for every service
Contracts over breakages
Cost that scales with value
People enabled to ship
Business Outcomes That Hold in Peak Season
DevOps wasn’t a tooling swap; it became the delivery muscle for regulated healthcare scale. The platform now deploys 20+ times per day with guardrails, absorbs traffic spikes 3.5× baseline, and meets video-quality targets during national campaigns—without emergency freeze windows. Product can test premium features on low risk cohorts, while Finance sees predictable spend curves aligned with growth.
- Speed — 2–3/mo ➝ 20+/day deployments
- Stability — MTTR 75m ➝ <12m; partner-caused incidents –61%
- Quality — p95 call setup –31%; error budget burn stabilized
- Scale — surge tolerance 3.5× baseline; zero freeze weekends
- Cost — cloud run-rate –24% with headroom intact
What’s Next: Compliance, Edge, and Mobile
Next milestones extend automated evidence for audits, edge media optimizations, and native clients. Mobile app development services will ship an offline-tolerant triage app for clinicians, using the same paved-road pipelines. We’ll expand api integration support for new diagnostics vendors and add multi-region traffic steering. Road-mapped savings continue through cloud cost optimization solutions (spot pools, data-tiering) and right-sized retention for observability data.