PRODUCTIVITY, INTEGRATIONS / SCALEProductivity / SaaS·Deployed 2024

ClickUp

Backend engineering for millions of concurrent users at sub-second latency.

-89%
P99 Latency Reduction
10M+
Concurrent Users Supported
99.98%
Integration Uptime

01 / Overview

The Scope & Objective

ClickUp engaged our team to design and implement mission-critical backend integrations that would support their rapidly growing user base without sacrificing performance. The scope included database sharding strategies, real-time sync protocols, and third-party API orchestration.

02 / The Challenge

Operational Friction & Bottlenecks

At millions of concurrent users, even microsecond inefficiencies compound into degraded user experiences. Database read contention and unoptimized API fan-out patterns were creating latency spikes that impacted retention metrics.

03 / The Solution

Architectural Implementation

We implemented a hybrid read-replica sharding model, offloaded high-frequency queries to Redis edge caches, and re-architected the API fan-out layer with batched async processing. Result: p99 latency dropped from 850ms to under 90ms.

04 / Deliverables

Production Artifacts

Database sharding and read-replica architecture
Redis edge caching layer for hot paths
Async API fan-out orchestration engine
Third-party integration framework (Slack, GitHub, Jira)
Real-time collaborative sync protocol
Observability stack with Datadog + custom alerting
Technologies Used
Node.jsPostgreSQLRedisKafkaGoKubernetesDatadogAWS

Project Details

Industry:Productivity / SaaS
Deployed:2024
Release Cycle:Continuous Deployment
Security:Enterprise Encrypted

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