Performance and Scalability

Performance metrics

The platform guarantees specific performance objectives, continuously monitored and formalized in SLA.

Uptime

Service availability is contractually guaranteed and continuously monitored:

Target: ≥ 99.9% annual (source: ISMS SLA document)

Monitoring: AWS CloudWatch Application Signals

Calculation: availability measured on monthly basis

Exclusions: scheduled maintenance communicated with advance notice

API latency

API latency is optimized to guarantee fast response times:

Target: ≥ 99% requests completed in < 1000ms (source: ISMS KPI list)

Monitoring: p99 percentile tracked in CloudWatch

Optimization: caching, query optimization, connection pooling

Response time

Response times vary based on the complexity of the requested operation:

Target p95: < 2 seconds (source: ISMS KPI list)

Distribution:

Simple operations (read): typically < 200ms

Complex operations (aggregate queries): < 2s

Error rate

The API error rate is maintained below rigorous thresholds:

Target: < 0.5% (source: ISMS KPI list)

Monitoring: error rate tracked per endpoint

Alerting: automatic notifications on threshold exceeding

Automatic scalability

AWS Lambda

The serverless compute layer scales automatically without manual intervention:

Automatic scaling: based on request volume

No manual provisioning: capacity allocated automatically

Spike management: transparent scaling during engagement campaigns

Rapid activation: new instances in milliseconds

Amazon DynamoDB

The NoSQL database is configured in on-demand mode to dynamically adapt to load:

On-demand mode: automatic read/write capacity scaling

Automatic partitioning: load distribution for consistent performance

Unlimited throughput: theoretically unlimited capacity (proportional costs)

Caching strategies and media storage

The system is optimized to guarantee high performance through intelligent caching and distributed storage of multimedia content.

AWS MemoryDB for Redis

In-memory database for features requiring ultra-fast data access:

Primary usage: real-time leaderboard management

Performance: sub-millisecond latency for read/write operations

Persistence: guaranteed durability with snapshots and transaction log

Multi-AZ: automatic replication for high availability

Benefits of using MemoryDB include:

Real-time leaderboard updates without latency

Support for atomic operations for ranking and scoring

Horizontal scalability for high loads

Cloudflare R2 for media storage

Primary storage for multimedia content with integrated automatic caching:

Storage: media content (images, videos, documents)

Automatic caching: edge caching distributed globally

CloudFront integration: automatic redundancy through CloudFront CDN

Optimized access: content served from geographically close locations to users

This solution offers significant benefits:

Reduced latency for multimedia content download

Reduced load on application servers

Optimized costs for storage and bandwidth

Automatic geographic content distribution

Load balancing and traffic distribution

AWS Route 53

The DNS service manages intelligent traffic routing between regions:

Geolocation routing: users directed to the closest region

Latency-based routing: optimization for lower network latency

Continuous health checks: regional endpoint status monitoring

Automatic failover: traffic diversion in case of regional failure

AWS Lambda distribution

Computational load is automatically distributed between multiple instances:

Automatic balancing: load distributed across multiple Lambda nodes

Fair distribution: intelligent execution allocation

High concurrency management: no bottleneck for traffic spikes

Capacity and limits

Configurable rate limiting

The system implements request rate controls to guarantee fairness and protection:

Per tenant: workspace-specific throttling policies

Abuse prevention: protection from excessive usage

Fair usage: resource fairness guarantee in multi-tenant environment

Default API Gateway limits

Configurable on request for enterprise clients:

Request timeout: 29 seconds (AWS API Gateway limit)

Payload size: 6MB max per request

Throttling: dynamic based on client plan

Idempotency and operation resilience

To guarantee resilience in retry scenarios and network instability, the platform implements native idempotency through AWS Lambda Powertools:

AWS Lambda Powertools Idempotency:

Persistence: Dedicated DynamoDB table for idempotency key storage

Header support: X-Idempotency-Key provided by client for critical operations

Auto-generation: If header not provided, Powertools generates key automatically from body + path parameters

TTL management: Keys expire automatically after completion with automatic cleanup

Response caching: Original response cached and returned immediately for duplicate requests

Middleware Integration:

The idempotency middleware is automatically integrated into the pipeline of every write endpoint:

Request → CORS → Logger → M2M Delegation → Parser → Idempotency Check → Handler
                                                          ↓
                                                    DynamoDB Cache
                                                          ↓
                                        (if duplicate) → Return Cached Response

Benefits:

Network retry safety: Client can retry POST/PUT/PATCH requests without risk of duplicates

Distributed system resilience: Partial failure management in distributed systems

Audit compliance: Every operation uniquely traced with idempotency key

Performance: Duplicate requests resolve in ~10ms (DynamoDB read) vs full execution

Developer experience: Transparent idempotency, no custom code necessary

Use Cases:

Resource creation (missions, users, content)

Financial operations (point assignment, virtual currency)

Batch operations with possible retries

Mobile apps with unstable connectivity

Performance and Scalability

Performance metrics#

Uptime#

API latency#

Response time#

Error rate#

Automatic scalability#

AWS Lambda#

Amazon DynamoDB#

Caching strategies and media storage#

AWS MemoryDB for Redis#

Cloudflare R2 for media storage#

Load balancing and traffic distribution#

AWS Route 53#

AWS Lambda distribution#

Capacity and limits#

Configurable rate limiting#

Default API Gateway limits#

Idempotency and operation resilience#