Production support, advisory and engineers on demand.
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§ Signs
We run and support data platforms after go-live, and provide engineers when your team needs more hands. Our managed database support services cover production support, monitoring, incident management, health checks and capacity planning for databases and pipelines. Contract data engineering services and dedicated resources give you remote data engineering consultants for Snowflake, Databricks, Microsoft Fabric, Azure and SQL Server. We also deliver platform assessments, architecture reviews and proofs of concept, governance and data quality frameworks, and CI/CD and DataOps. We support organizations, consulting firms, system integrators, and technology partners.
Managed support makes sense when the platform matters to the business but running it is not your team's main job.
Overnight loads fail and the first alert is a business user asking why the dashboard is empty.
One engineer knows how the pipelines and databases fit together, and holidays are a risk.
New fields, sources and fixes wait for weeks because the team is busy with projects.
You need data engineers now, but recruiting will take months.
Platform spend creeps up and nobody has time to find out why.
§ What we deliver
Choose an area to see the services in it.
Day-to-day work behind managed support.
SQL Server§ Proof
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§ Approach
We agree which systems are covered, what counts as an incident at each priority, who is contacted and how changes are requested.
You receive Support agreement with priority definitions and contacts
We learn your platforms, access, alerting and escalation paths.
You receive Support runbook and escalation matrix
We fix recurring failures and add the monitoring and alerts that are missing.
You receive Stabilization report and monitoring in place
Day-to-day monitoring, incident management and small changes under an agreed scope.
You receive Monthly operations report
Health checks, capacity planning and optimization feed a shared improvement backlog.
You receive Quarterly health check and improvement plan
We meet regularly to review incidents, changes, cost trends and the roadmap, and agree what to improve next.
You receive Service review with recommendations
§ Tech stack
SQL Server
Azure SQL
Microsoft FabricAzure Data FactoryAzure DevOps
dbt
Power BIAzure Monitor§ Engagement models
A defined scope, timeline and deliverables, from design through go-live.
An agreed price for a clearly scoped implementation, such as a migration or a new warehouse.
Our engineers work under your contract, or as a subcontractor to consulting firms and system integrators.
Data engineers who join your team and work in your tools and processes.
Consultants and developers working remotely, with overlap in your working hours.
Architecture reviews, platform choices and design guidance for your own team.
Monitoring, incident handling and ongoing fixes for pipelines and databases in production.
A short, fixed-scope engagement to test an approach on your data or plan a migration.
§ FAQs
Production support and incident management, monitoring and alerting, SQL Server administration, health checks and capacity planning, high availability and disaster recovery checks, and ongoing optimization of databases and pipelines.
Yes. We offer contract and subcontract engineering and dedicated data engineering resources, working remotely in your tools and processes.
Yes. We support consulting firms, system integrators and technology partners that need specialized database and data engineering expertise on their client projects.
Yes. Technical architecture reviews, proofs of concept and cloud data platform assessments give you an independent view and a roadmap before a large investment.
Yes. CI/CD and DataOps implementation covers version control, automated tests, data quality and reconciliation checks, and automated deployment for data pipelines.
Cover hours are agreed in the support agreement. Our team is based in India with offices in the UK, US, Bahrain and Germany, so working hours overlap with much of the US working day as well as UK and European hours.
Response targets are agreed per priority in the support agreement, based on how critical each system is to you, and reported in every service review.
We start with access, an inventory of systems and existing runbooks, and a period of shadowing your team. Monitoring and alerting are in place before we take over first-line responsibility.
Yes. Engineer numbers and covered systems can change as your needs change, with notice periods agreed in the contract.
That is not the aim. Most clients keep their own engineers for core work and use us for operations, peaks and specialist skills.
§ In detail
An inventory of systems, access, dependencies and runbooks, built during the first weeks.
Alerts for failed jobs, late data, database health and cost, routed to named engineers.
Incidents logged, fixed and followed by a short root-cause note so they do not repeat.
Incidents, changes, cost trends and recommendations, in plain language.
Small changes and new sources delivered from a prioritized backlog you control.
Contract or dedicated data engineers who join your team for project peaks.
We run agreed systems day to day, with monitoring, incident response and regular reviews.
Named data engineers who work in your tools, stand-ups and sprints, full time on your platform.
We work under your brand or contract as a delivery partner for system integrators and consultancies.
A core team for operations plus extra engineers for projects, scaled up or down as your plans change.
Product and customer-facing analytics pipelines that must be fresh every morning.
Reporting databases and pipelines with controlled change and audit trails.
Platforms holding sensitive data, operated with least-privilege access in line with HIPAA and state privacy rules.
Specialist Snowflake, Databricks, Fabric and SQL Server engineers for your client projects.
§ Contact
Tell us what you run and the kind of help you need: support, advisory or extra engineers.
