Services
Sobryte Solutions provides senior-level support for SQL Server and modern data platforms, with a focus on performance, reliability, and pragmatic modernisation.
Engagements are typically short, targeted, and outcome-driven — aimed at unblocking teams, stabilising critical workloads, and leaving behind clear guidance and artefacts your team can own.
SQL Server Performance & Troubleshooting
Diagnosis and resolution of performance, stability, and scalability issues within complex and often under-documented SQL Server environments.
- Query analysis and execution plan optimisation
- Indexing strategy review and remediation
- Investigation of locking, blocking, and concurrency behaviour
- TempDB, IO, and memory pressure analysis
- Refactoring of legacy stored procedures and T-SQL workloads
Typical outcomes:
- Reduced runtimes for priority workloads and ETL
- Improved stability and fewer production incidents
- Clear identification of bottlenecks and quick wins
Deliverables (example): findings summary, prioritised remediation plan, and optional implementation support.
Legacy SQL Server Estate Review & Stabilisation
Support to assess risk, identify priority issues, and define pragmatic improvement pathways for business-critical SQL Server estates that have evolved organically over time.
- Estate health checks and technical risk assessment
- Performance and scalability evaluation
- Identification and management of technical debt
- Modernisation and migration roadmap development
Typical outcomes:
- A clear picture of operational risk and technical debt
- Practical roadmap with sequencing and effort sizing
- Recommendations aligned to constraints (team size, timelines, budget)
Deliverables (example): estate assessment pack, risk register, and roadmap options.
Azure Data Engineering & Platform Advisory
Architectural and hands-on engineering support for organisations operating SQL Server– based workloads in Azure or building cloud-native data platforms. Particular focus is placed on Azure Data Factory (ADF) pipeline design, Azure SQL optimisation, and pragmatic operational patterns for scalable data delivery.
- Azure Data Factory (ADF) pipeline design and optimisation
- Azure SQL Database and Hyperscale design reviews
- Hybrid and migration strategy guidance
- Operational design: monitoring, cost control, and reliability patterns
- Support for teams adopting cloud-based data platforms
Typical outcomes:
- Better reliability and performance with fewer cost surprises
- Improved operational model (monitoring, backup/DR, runbooks)
- Clear migration approach and risk management plan
Deliverables (example): architecture review notes, target-state diagram, and decision log.
Regulatory & Finance Data Pipelines
Design and delivery support for data pipelines in regulated financial services environments, where accuracy, auditability, and traceability are critical.
- Regulatory reporting data architecture and implementation
- Complex derivations, reconciliations, and control frameworks
- Auditability, lineage, and governance considerations
- Collaboration with Finance, Risk, and regulatory stakeholders
Typical outcomes:
- Stronger controls and reconciliations with clearer ownership
- More reliable delivery of reporting datasets
- Better traceability from source → report → submission
Deliverables (example): controls framework, reconciliation approach, and documentation pack.
Engagement Model
Engagements are structured around clearly defined objectives, providing targeted advisory, technical assessment, or delivery support aligned to specific platform or performance challenges.
Typical engagement types:
- Rapid performance triage (1–3 days): diagnose bottlenecks and prioritise fixes
- Estate health check (1–2 weeks): risk assessment + stabilisation plan
- Modernisation planning (2–4 weeks): target architecture + roadmap
- Delivery support (ongoing): embedded support to accelerate execution