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Proof points that keep the platform fast under real workloads.
PostgreSQL Optimizations
salary_events table partitioned by month (created_at)
PARTITION BY RANGE (created_at)Pre-computed aggregations for dashboard and reports
REFRESH MATERIALIZED VIEW CONCURRENTLYBlock Range Index for time-series data on created_at
USING BRIN (created_at)Index only active contracts for faster queries
WHERE status = 'ACTIVE'Fast approximate row counts from pg_class.reltuples
SELECT reltuples FROM pg_classSpring Boot Optimizations
EntityGraph annotations for eager fetching relationships
@EntityGraph(attributePaths = {{"{"}"candidate"{"}"})Interface projections for selecting only needed columns
SELECT c.id, c.firstName FROM Candidate cIn-memory caching with configurable TTL and eviction
expireAfterWrite=5m, maximumSize=1000Separate connections for OLTP and OLAP workloads
@Transactional("olapTransactionManager")Angular 21 Optimizations
Fine-grained reactivity with automatic dependency tracking
readonly page = signal(0)Reactive data fetching with automatic request management
httpResource(() => ({ url: API_URL }))Optimized list rendering with identity tracking
@for (item of items; track item.id)Render only visible items for large lists
<cdk-virtual-scroll-viewport>Architectural Patterns
Isolate transactional and analytical workloads
OLTP: 10 connections, OLAP: 5 connectionsRead from materialized views, write to tables
Queries: Views, Commands: TablesPrevent heavy reports from affecting CRUD operations
Reports: statement_timeout = 30s