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Contain Redis spikes before evening bookings stall

You’re the security / reliability engineer. Your team is in the room. Printed Oct 15, 2026.

The booking flow shares capacity with work that does not need to interrupt a patient.

Background processing needs to finish, while an evening patient needs the booking request to complete now.

Who you’d be doing this for

“I found someone who takes my insurance, then the last screen just kept loading.”

Tyra Lund · Therapy-seeking patient

An insured patient attempting to book an evening appointment through the marketplace.

What is at stake

Evening booking requests fail when a background task exhausts Redis connections. You must protect patient booking without interrupting the processing that keeps the platform current.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • booking continuity vs background processing
  • fast containment vs durable isolation
  • shared capacity vs service boundaries
  • evening demand vs safe release review

Why Headway

In-network booking is the point where a therapy-seeking patient turns a covered search result into care.

Written with these in mind

reliability-minded security engineerplatform security builderincident-driven systems engineer

Not your kind of problem? 34 more at Headway, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.