Layer 7 DDoS

Stop Layer 7 DDoS Attacks

Block application-layer request floods, Slowloris-style abuse, and bot-assisted traffic spikes at the edge while preserving the clean path for real users.

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Layer 7 DDoS attack traffic converging on Peakhour edge controls before clean traffic reaches the application.

Attackers Pressure the Application Path

Layer 7 DDoS attacks do not need huge bandwidth to cause damage. They target expensive application routes with request floods, slow sessions, and bot-assisted surges that look enough like real traffic to slip past simple network filtering.

Request Floods

HTTP GET and POST floods concentrate traffic on search, login, API, checkout, and other costly application paths.

Slow Sessions

Slowloris-style abuse ties up connection and worker capacity without always producing obvious volume spikes.

Bot Surges

Distributed automation blends with legitimate demand, rotating sources and user agents while pushing origin systems toward exhaustion.

Layer 7 attack traffic converging on Peakhour edge controls before clean traffic reaches the application.

Edge Controls Separate Attack Traffic From Real Users

Peakhour evaluates Layer 7 pressure at the edge, then applies anomaly detection, rate controls, bot signals, and WAAP policy before traffic reaches the application. The goal is not just blocking abuse; it is preserving a clean service path under pressure.

Edge Detection

Traffic baselines and behavioural signals identify sudden route-level pressure before origin capacity is consumed.

Rate and Bot Controls

Adaptive limits, bot classification, and challenge decisions suppress abusive automation without flattening legitimate users.

WAAP Enforcement

Application firewall and API controls inspect high-risk requests so exploit attempts and malformed traffic are stopped in the same path.

Clean Delivery

Allowed requests continue through the protected route, with mitigation decisions recorded for response, tuning, and review.

Peakhour DDoS mitigation controls showing anomaly detection, rate limits, bot signals, and evidence.

Operational Evidence Keeps the Service Resilient

During an attack, operations teams need to see the pressure pattern, the edge decisions being applied, and whether clean traffic is still reaching the service. Peakhour ties those views together so mitigation can be tuned during the event and reviewed afterwards.

Pressure Flood and slow-session signals See which routes are being exhausted

Decision Rate, bot, and WAAP actions Track block, challenge, and allow outcomes

Continuity Clean request path Confirm resilient delivery for real users

Layer 7 DDoS mitigation board showing attack pressure, edge control decisions, evidence, and clean application delivery. — Attack decisions recorded

Security and platform teams leave the incident with a shared record of attack pressure, control decisions, and service continuity.

Related evidence

Layer 7 Attacks Reduced in Production

Customer examples that connect Peakhour controls to production outcomes.

Kitchen Warehouse

COVID-19 Traffic Surge Success

How Australia's #1 online kitchenware retailer thrived during COVID-19's unprecedented traffic surge and achieved 150% revenue growth with Peakhour's performance solutions.

70% Improvement in Load Times 150% Increase in Revenue Year on Year 85% Of All Traffic Served from Cache

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Stone & Chalk

Fintech Hub Enterprise Security

How Australia's leading fintech hub secured hundreds of startups with enterprise-grade application security, zero-day vulnerability protection, and comprehensive threat management.

Enterprise Grade Security Improved Web Performance Zero-Day Threat Protection

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