Build, tune, and operationalise PostgreSQL platforms - covering performance, resilience, security, and integration so business-critical workloads remain reliable as they scale.
PostgreSQL is widely used for transactional systems, backend services, and reporting workloads across modern application stacks. The platform is powerful, but environments often drift: indexing and query patterns become inconsistent, maintenance routines are neglected, and observability is limited. On self-hosted estates this can lead to avoidable incidents and unpredictable latency; on managed platforms it can still happen when teams do not align configuration, scaling, and operational routines to the service’s capabilities. The result is a database that becomes fragile as data volume and usage grow.
LW IT Solutions delivers PostgreSQL Engineering & Optimisation as a pragmatic service to improve performance and reliability without unnecessary disruption. We assess workload characteristics, identify bottlenecks and operational risks, and implement prioritised improvements across schema design, indexing, query performance, and maintenance. Where you use managed services such as Azure Database for PostgreSQL, we also align networking, security posture, scaling, and monitoring to best practice patterns and provide runbooks so your team can operate the platform confidently.
Talk through your requirements and leave with a clear next-step plan.
Book a discovery call
Service Overview
Highlights
- Schema and index review grounded in real workload behaviour
- Query analysis using execution plans and live performance data
- Support for relational and JSONB-heavy data models
- Operational focus: vacuum strategy, backups, monitoring, and change control
- Applies to self-hosted PostgreSQL and managed platforms such as Azure Database for PostgreSQL
Business Benefits
- Lower query latency and more predictable performance under load
- Reduced incident risk through consistent maintenance and monitoring routines
- Improved stability as data volume and concurrency increase
- Clear visibility of database health, bottlenecks, and capacity constraints
- A practical improvement plan that balances quick wins with longer-term fixes
Typical use cases
- Applications experiencing slow queries or timeouts as usage grows
- Platforms relying heavily on JSONB with inconsistent query performance
- Databases with rising maintenance overhead or frequent vacuum issues
- Teams migrating to or operating managed PostgreSQL services
- Production systems needing clearer operational ownership and runbooks
Objectives & deliverables
What Success Looks Like
- Improve query performance and reduce user-impacting latency
- Stabilise operational routines (maintenance, vacuum strategy, backups, and monitoring)
- Define a resilience approach (replication, failover, and DR considerations)
- Reduce incidents driven by uncontrolled schema changes and poorly optimised workloads
- Create a prioritised remediation backlog with measurable outcomes
What You Get
- PostgreSQL health check report with prioritised findings and recommendations
- Performance baseline and agreed target outcomes (documented)
- Implemented quick wins within scope with validation evidence
- Operational guidance: monitoring baselines, maintenance routines, and change governance
- Backlog for further optimisation, refactoring, and resilience maturity
How It Works
- Discovery - confirm workload types, data volume, usage patterns, and operational constraints
- Assess - review schema design, indexing, query plans, maintenance settings, and security posture
- Baseline - capture current performance and stability metrics to measure improvement
- Optimise - implement prioritised changes such as index adjustments, query refactoring, and maintenance tuning
- Validate - re-test workloads to confirm performance and reliability gains
- Operationalise - document routines, thresholds, and ownership for ongoing operation
Engagement Options
- Health Check - focused assessment with findings and prioritised recommendations
- Performance Sprint - targeted optimisation of priority queries and indexes
- Stability & Ops Uplift - maintenance, backup, monitoring, and runbook improvements
- Ongoing Advisory - periodic reviews and optimisation support as workloads evolve
Common Bundles
Customers who use this service often bundle with these services
Azure Landing Zones (CAF-aligned)
Build a secure, scalable Azure foundation using CAF-aligned landing zones with clear governance, identity, networking, and management baselines.
Azure Network Architecture (Hub/Spoke, DNS, Private Link)
Azure network architecture services covering hub and spoke design, DNS, routing and Private Link to support secure, scalable connectivity.
Backend API Development (FastAPI/Node)
Design and build backend APIs with clear contracts, secure authentication, observability, and cloud-ready deployment using FastAPI or Node.js.
API & System Integrations
Design and implement API integrations connecting business systems with secure authentication, retries, logging, and supportable middleware patterns operations.
SSO & Enterprise App Integrations
SSO and enterprise application integrations using Microsoft Entra ID, standardising access, authentication, and user lifecycle management across SaaS platforms.
Secure API Development Workshop
Practical developer workshop covering secure API design, authentication, authorisation, OWASP API risks, logging, rate limiting, and secrets management.
ETL/ELT Pipeline Design & Delivery
Design and deliver reliable ETL and ELT pipelines with batch and event-driven ingestion, monitoring, and cost-aware performance tuning.
Azure Cost Optimisation Assessment
FinOps-aligned Azure cost assessment identifies waste, rightsizing opportunities, reservations, and guardrails so teams regain control of cloud spend.
Frequently Asked Questions
Get an expert-led assessment with a prioritised remediation backlog.
Request an assessment
