Peak Event Readiness
Freeze, pre-scale, shed order, warm caches and rehearse.
6 to work through
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advanced
A live platform has two weeks before a major event expected to bring ten times normal traffic. What should the readiness work consist of, in priority order?
2 min answer -
advanced
A retailer expects 20× normal traffic for a two-hour sale launch. Plan the readiness.
2 min answer -
advanced
A streaming platform is broadcasting a scheduled cricket match and forecasts 40 million concurrent viewers, but the real number could be double. How should pre-scaled capacity, CDN pre-positioning, ingest redundancy, bitrate ladders, connection limits and feature degradation be planned together?
3 min answer -
advanced
A trading platform faces its largest load at a precisely known time every day. What does readiness for a scheduled peak involve beyond capacity?
2 min answer -
advanced
Retail leadership proposes a six-week change freeze covering the entire estate from mid-November. Respond.
2 min answer -
advanced
You expect 10x traffic on a known date six weeks away. Walk through the preparation.
3 min answer
4 terms in this topic
Peak Event Readiness
Preparing for a known, dated, high-stakes traffic event — where the discipline is as much organisational as technical.
practicePeak Readiness Rehearsal
The set of pre-peak actions and verifications - warm caches, warm pools, confirmed dependency headroom, a change freeze, a rehearsed shedding path - …
practicePre-Scaling
Provisioning capacity in advance of a known event rather than relying on autoscaling, because the arrival spike at a scheduled moment is faster than …
case-studyRetail Peak: Designing for Black Friday
A retailer's annual peak can be an order of magnitude above normal, arrives in minutes, and cannot be rescheduled — which makes it a distinct enginee…
Neighbouring topics
Performance & Capacity
General material on performance and capacity engineering.
Latency
Distributions rather than averages, and the floors physics imposes.
Throughput
Work completed per unit time, and why it trades against latency.
Concurrency
Operations in flight, and the limits that are the real capacity ceiling.
Queueing Theory
Why latency explodes as utilisation approaches capacity.
Little's Law
L = λW, and the pool sizes it computes directly.
Bottleneck Analysis
Finding the constraint, and expecting a second one behind it.
Tail Latency
p99 behaviour, amplification across fan-out, and hedged requests.
Load Testing
Realistic data, realistic mix, and a ramp rather than a step.
Stress Testing
Pushing past target to learn what breaks first and how it fails.
Soak Testing
Long runs that surface leaks and slow degradation.
Capacity Modelling
Arithmetic before load tests, and headroom for failure as well as peak.
Horizontal vs Vertical Scaling
Scale out for stateless, scale up first for stateful.
Caching for Performance
Layer choice, hit ratio as a first-class metric, and cold-cache recovery.
Database Performance
Plans, indexes, contention and the pool in front of the database.
Connection Pooling
The most common hidden ceiling, and the metric nobody collects.
Network Performance Tuning
Keep-alive, compression, payload size and round-trip elimination.
Performance Budgets
Targets enforced in CI so regressions fail the build.
Profiling & Optimisation
Measuring before optimising, and optimising the dominant term.