Kuaishou Havok Data Service Platform and Its High‑Availability Assurance System

Background Kuaishou's data‑service platform (code‑named Havok) powers core businesses such as live streaming, e‑commerce, and advertising. It must handle massive request volumes, low latency, and high stability, especially during large‑scale events. The platform builds a full‑stack service‑guarantee system covering service isolation, link grading, fault tolerance, monitoring, and contingency planning, achieving zero‑failure operation for major activities.

Traditional Data Service Development Pain Points The conventional workflow requires data engineers to develop data tables with big‑data technologies (Spark, Flink) and then wrap them as micro‑services, leading to high entry barriers, high development cost, siloed duplicate efforts, and heavy operational overhead for online changes.

One‑Stop Self‑Service Data Platform Havok addresses these issues by offering a configuration‑as‑development platform where users can create, manage, and operate API data services without writing code. The platform automatically generates service code, handles deployment, caching, degradation, and permission control, achieving data reuse instead of duplication and dramatically improving development efficiency.

Havok consists of two core modules: (1) a service generation engine that automatically builds and hot‑deploys data services, and (2) a service invocation module that provides rich interfaces, unified queries, and efficient heterogeneous storage support.

High‑Availability Assurance Challenges The platform faces (1) massive service count (QPS in the tens of millions), (2) critical business impact, (3) numerous external dependencies, and (4) the need for customized guarantees for different business scenarios.

High‑Availability Assurance Solution Havok adopts a three‑phase approach: proactive problem prevention (risk matrix and SLA analysis), timely problem detection (comprehensive monitoring of thousands of services), and rapid problem mitigation (emergency playbooks, rate‑limiting, and degradation strategies).

Key Assurance Capabilities

Hierarchical Isolation Services are isolated by business and priority (high/medium/low) into hard‑isolated compartments, with soft isolation within a compartment to improve resource utilization.

Elastic Services Built on a container cloud, services scale dynamically with load, support hot deployment and migration, and adjust compartment load water‑marks in real time.

Link Grading Core links receive high‑availability guarantees with minimal dependencies, while secondary links tolerate failures via graceful degradation, using generic fault‑tolerance strategies such as exponential back‑off, fallback nodes, and fallback data.

Disaster Recovery Both service‑level (multi‑datacenter, primary‑secondary storage clusters, heterogeneous cold‑backup) and data‑level (quality checks, multi‑version data) mechanisms ensure continuity and data correctness under failures.

Rate Limiting and Degradation The full service chain incorporates configurable rate‑limiting at the client, request sampling and control at the server, one‑click degradation for external dependencies, and write‑side degradation to relieve storage pressure during traffic spikes.

Summary and Outlook Havok has supported major events (Spring Festival, New Year, shopping festivals) with zero failures, serving over 100 core services and handling 2 million QPS. The platform continuously abstracts and enriches its guarantee capabilities, aiming for more intelligent, automated reliability in the future.

Author Bio Ni Shun – former Hulu video‑quality big‑data engineer, now at Kuaishou focusing on big‑data service platform construction.

Kuaishou Data Factory Team The core big‑data middle‑platform team building industry‑leading intelligent data production and service platforms, covering development toolchains, data flow toolchains, service toolchains, and data governance.