SQL Server & Azure SQL Engineering

Design, tune, and operationalise SQL Server and Azure SQL platforms - improving performance, resilience, security posture, and supportability for business-critical workloads.

SQL Server continues to underpin many enterprise workloads: line-of-business applications, reporting databases, integration stores, and operational data services. As estates grow, performance and reliability issues often surface in familiar ways - slow queries during peak usage, fragile reporting extracts, unclear ownership of schema changes, and reactive tuning. When teams move to cloud services such as Azure SQL Database or Azure SQL Managed Instance, the technical model changes again: platform capabilities improve, but the organisation still needs the right patterns for connectivity, governance, and operational controls.

LW IT Solutions delivers SQL Server & Azure SQL Engineering as a structured service that stabilises and optimises your SQL estate. We assess workload characteristics, identify bottlenecks and risks, and implement prioritised improvements across schema design, indexing, query patterns, and operational routines. Where Azure SQL services are in scope, we also help you select the right Azure SQL option, align network and security posture, and document a supportable operating model - so SQL becomes a dependable foundation for applications and analytics, not a recurring incident source.

Talk through your requirements and leave with a clear next-step plan.

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Service Overview

Highlights

SQL health check report with prioritised findings and recommendations
Performance baseline with documented success measures
Implemented improvements with validation evidence
Operational guidance including maintenance, monitoring, and change governance
Backlog for ongoing refactoring, evolution, or migration readiness

Business Benefits

Improve query performance and reduce latency impacting users and applications
Increase reliability and accuracy of reporting extracts and downstream integrations
Strengthen resilience with appropriate high-availability and disaster recovery patterns
Reduce operational risk through controlled change management, documentation, and governance
Provide measurable remediation outcomes and supportable standards for the SQL estate

Typical use cases

Optimising SQL Server databases for line-of-business applications
Improving reliability and performance of reporting and analytics platforms
Migrating workloads to Azure SQL Database or Managed Instance with operational controls
Implementing HA/DR patterns to reduce downtime and improve resilience
Refactoring and tuning legacy SQL estates for supportability and scalability

Objectives & deliverables

What Success Looks Like

Improve query performance and reduce user-impacting latency
Increase reliability of reporting extracts and downstream integrations
Strengthen resilience through appropriate HA/DR patterns and operational routines
Reduce operational risk through controlled change, documentation, and governance
Deliver a remediation backlog with measurable outcomes and supportable standards

What You Get

SQL health check report with prioritised findings and recommendations
Performance baseline with agreed success measures (documented)
Implemented improvements within agreed scope with validation evidence
Operational guidance: maintenance routines, monitoring baselines, and change governance
Backlog for further refactoring, platform evolution, or migration readiness work

How It Works

Discovery - assess current SQL workloads, performance, and reliability issues
Design - define schema, indexing, query patterns, and HA/DR strategies aligned to requirements
Implement - execute prioritised improvements within agreed scope with validation evidence
Operationalise - document maintenance routines, monitoring baselines, and change governance
Review - provide backlog for further refactoring, platform evolution, or migration readiness

Engagement Options

Health Check - evaluate SQL Server and Azure SQL environments with prioritised recommendations
Performance Remediation - implement tuning and optimisations for critical workloads
Full Engineering - schema, indexing, query, HA/DR, and operational model improvements across the estate

Common Bundles

Customers who use this service often bundle with these services

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.

Power BI Dashboard Design & Integration
Power BI dashboard design and integration delivering trusted executive and operational reporting through strong data modelling, security and reliable refresh.

Fabric Data Factory (ETL/ELT) Pipelines
Design and build Microsoft Fabric Data Factory pipelines with repeatable patterns, reliable scheduling, monitoring, and error handling across data sources.

Fabric Governance, Security & Cost Control
Establish Microsoft Fabric governance with workspace strategy, role based access, auditing, environment separation, and cost controls for predictable operation.

Fabric Real-Time Intelligence & KQL
Design and deliver Microsoft Fabric real-time analytics using event streams, KQL querying, operational dashboards, alerting, and action-driven insights.

Microsoft Fabric Enablement (Capacity + Per-user Model)
Enable Microsoft Fabric using capacity and per-user licensing, aligning readiness, governance and operating model for analytics workloads enterprise.

Azure Cost Optimisation Assessment
FinOps-aligned Azure cost assessment identifies waste, rightsizing opportunities, reservations, and guardrails so teams regain control of cloud spend.