Read-Heavy SaaS API

This scenario has moderate operational complexity. It is recommended for Experienced Backend Team teams or higher.

Gap signal: The requirement 'Minimum team maturity: Experienced Backend Team' is not yet in place.

2 high-severity risks identified. Each requires a documented runbook, alerting threshold, and on-call response procedure before running in production.

Gap signal: The requirement 'Runbooks and alerting for high-severity risks' is not yet in place.

Redis or equivalent cache requires correct maxmemory configuration, eviction policy selection (allkeys-lru is common), and cold-start warming strategy after restarts.

Gap signal: The requirement 'Cache sizing and eviction policy configuration' is not yet in place.

Nodes with high or critical risk exposure: Redis. Each requires documented mitigation before production deployment.

Gap signal: No mitigation strategy is documented for the high-risk nodes in the topology.

ACID-compliant relational database with strong consistency, JSONB support, full-text search, and mature replication.

Managed: Amazon RDS for PostgreSQL, Amazon Aurora PostgreSQL, Google Cloud SQL for PostgreSQL, Azure Database for PostgreSQL, Supabase, Neon

In-memory key-value store with optional persistence, supporting strings, hashes, lists, sets, sorted sets, and pub/sub.

Managed: Amazon ElastiCache for Redis, Google Cloud Memorystore, Azure Cache for Redis, Redis Cloud, Upstash

Monitor connection pressure signals

Seed 'Connection Pool Pressure Under Load' identifies 4 metrics relevant to connection_exhaustion. Execution preview confirms this risk manifests under modelled load.

Seed 'Connection Pool Pressure Under Load' identifies 4 metrics relevant to connection_exhaustion. Execution preview confirms this risk manifests under modelled load.

Monitor replication lag signals

Seed 'Replication Lag Under Write Burst' identifies 4 metrics relevant to replication_lag_cascade. Execution preview confirms this risk manifests under modelled load.

Seed 'Replication Lag Under Write Burst' identifies 4 metrics relevant to replication_lag_cascade. Execution preview confirms this risk manifests under modelled load.

Track Connection Pool Exhaustion exposure

Connection Pool Exhaustion has high exposure and affects 1 component. Affects 1 node. (Redis). 1 mitigation identified

Connection Pool Exhaustion has high exposure and affects 1 component. Affects 1 node. (Redis). 1 mitigation identified

p99 database latency rising; connection wait queue growing; requests timing out with "too many connections" or pool queu

This signal indicates the architecture is approaching 'Tier 1: Connection Exhaustion'. Likely bottleneck: Database connection pool saturated or max_connections exceeded.

Tier 1: Connection Exhaustion

Database CPU > 80% sustained; read query p99 rising; cache miss rate stable but overall latency increasing

This signal indicates the architecture is approaching 'Tier 2: Read Throughput Ceiling'. Likely bottleneck: Single PostgreSQL primary saturated with read traffic.

Tier 2: Read Throughput Ceiling

Redis hit rate < 60%; database read pressure rising despite cache presence; TTL expiry storms visible in Redis monitorin

This signal indicates the architecture is approaching 'Tier 3: Cache Miss Amplification'. Likely bottleneck: Cache TTLs too aggressive or cache too small for working set.

Tier 3: Cache Miss Amplification

Satisfy: Team at 'experienced backend team' maturity level

Effort: 1–4 weeks depending on current state · Unblocks: Adoption of Read-Heavy SaaS API

Satisfy: Failure mode awareness and runbooks

Effort: 1–4 weeks depending on current state · Unblocks: Adoption of Read-Heavy SaaS API

Satisfy: Production-grade observability stack

Effort: 1–4 weeks depending on current state · Unblocks: Adoption of Read-Heavy SaaS API

Instrument all critical path components with metrics and alerting

Effort: 1–2 weeks · Unblocks: Safe production adoption and incident response

Validate adoption in a staging environment before production

Effort: 2–4 weeks for thorough staging validation · Unblocks: Production confidence and rollback preparedness

Mitigate risk: Connection Pool Exhaustion

Effort: 1–3 weeks · Unblocks: Reduces 'Connection Pool Exhaustion' from blocking adoption

Mitigate risk: Replication Lag Cascade

Effort: 1–3 weeks · Unblocks: Reduces 'Replication Lag Cascade' from blocking adoption