Numbers Don't Lie

P The Problem

MedSchedule (name changed) ran a patient appointment platform used by 38 clinics across the US. Six times a month, the app went down — usually during peak hours between 8 AM–11 AM. Each outage lasted an average of 47 minutes, affecting thousands of scheduled appointments.

Their internal team of 4 engineers was spending 40% of sprint capacity on reactive firefighting. The CEO had received two letters from clinic partners threatening contract cancellation. The root cause? Nobody was watching the app at night.

S The Solution

Lodelian onboarded in 72 hours. Within the first week, our engineers identified three root causes: a memory leak in a third party scheduling library, unindexed database queries causing cascade failures under load, and a deployment process that silently skipped health checks.

• → Deployed 24/7 synthetic monitoring with 60-second check intervals
• → Patched the memory leak and rewrote the 4 worst-performing database queries
• → Implemented automated rollback on failed health checks during deploys
• → Set up on-call escalation with a guaranteed <2h response window

P The Problem

StyleLoop (name changed) sold fashion accessories online with 18,000 monthly active shoppers. Their checkout conversion rate was 2.1% — well below the industry average of 3.5%. Analytics showed users were abandoning at the payment step, but nobody could identify why.

Every Friday evening around 7 PM, the checkout page slowed to 8–12 seconds. Support tickets spiked. Customers complained. The team "knew about it" but had no bandwidth to investigate. This had been happening for 14 months.

S The Solution

Our performance audit found the culprit in 4 hours: a synchronous call to a third-party fraud-detection API was blocking the entire checkout render. On Friday evenings, that API's response time degraded from 200ms to 11 seconds due to their own load issues.

• → Moved fraud check to an asynchronous background job with a graceful fallback
• → Added a 500ms timeout with circuit breaker to prevent cascade failures
• → Implemented real-time checkout funnel monitoring with Slack alerts
• → Set up weekly performance regression tests on critical user flows

P The Problem

PayBridge (name changed) was processing $2M in transactions monthly when they hit a wall: three enterprise prospects all asked for SOC 2 Type I compliance before signing. Their timeline was 90 days. Their security posture was a "medium-risk" penetration test result with 14 open findings, no dependency scanning, and manual patch management.

The team had strong product engineers but zero dedicated security expertise. The clock was ticking — at least $1.4M in ARR was paused pending certification.

S The Solution

Lodelian embedded a security engineer as a fractional team member within the first week. We triaged all 14 penetration test findings by severity and closed the 6 critical ones within 3 weeks.

• → Remediated all critical and high-severity pen test findings in 21 days
• → Implemented automated dependency scanning and CVE alerting (Dependabot + Snyk)
• → Deployed secrets detection in CI/CD pipeline to prevent credential leaks
• → Established patch management SLA: critical CVEs patched within 24h
• → Drafted security policies needed for SOC 2 (access control, incident response, change management)