Managed Database ServicesOutsourced SQL Server & Azure SQL administration, performance tuning, custom development, and 24/7 APM

Database-as-a-Service (Azure SQL Managed Instance, Azure SQL Database, AWS RDS) handles the underlying infrastructure: the OS, the SQL engine patches, the storage, the high availability mechanics. It does not handle your indexes, your query plans, your stored procedures, your schema design, your backup-restore strategy, or your security baseline. Managed database services from On-Site Technology cover that second layer. Most clients use both: Azure SQL Managed Instance as the platform, OST as the DBA team that runs it.

Yes. The same senior team handles production administration (patching, performance, backup, security) and development work (T-SQL stored procedures, views, functions, triggers, schema design, ETL). Most clients value this because the DBAs who know how the database actually runs are the same ones building the next stored procedure or index. There is no handoff and no second vendor learning curve.

Our APM platform tracks more than 200 KPIs per database including wait stats, blocking, deadlocks, top expensive queries, index health, statistics freshness, log file growth, tempdb pressure, memory grants, parallelism patterns, replication latency, and backup chain integrity. Custom thresholds alert our DBA team, who reviews and acts on issues during business hours before they surface as user-visible symptoms. APM is included in Platinum and Diamond tiers.

Yes. We run schema and feature compatibility assessments using Microsoft Data Migration Assistant, plan the right Azure target (SQL Database, Managed Instance, or VM-hosted SQL), remediate compatibility issues, build the cutover runbook, and stay engaged for post-migration tuning. The pace depends on database size, transactional volume, downtime tolerance, and how much application code is database-coupled. Most mid-market migrations land in 8 to 14 weeks.

Microsoft 365 Copilot, custom Copilot Studio agents, and Azure AI Foundry-built copilots only ground reliably against well-structured, well-indexed source data. We tune the source-of-truth tables, build the retrieval contracts, manage the Azure AI Foundry vector indexes and embedding pipelines, and govern what AI agents can see at the row and column level. The database becomes an explicit grounding layer for AI, not a black box that blocks adoption.

Almost always, yes. The vast majority of performance problems we are called in for resolve through index strategy, statistics maintenance, query plan analysis, parameter sniffing fixes, tempdb sizing, and removing the handful of queries that drive most of the wait. Schema rebuilds are reserved for the small subset of cases where the data model itself is the bottleneck. The Discovery & Audit phase produces a written report telling you which it is.

Microsoft SQL Server and Azure SQL are our deepest competency. We also support MySQL, PostgreSQL, and MongoDB for clients running mixed environments. We do not support AWS RDS-native services because that platform is outside our current capability set. If your stack is heavily PostgreSQL-only or AWS-centric, we will tell you up front rather than stretch.

HIPAA Security Rule (45 CFR §164.312), PCI DSS 4.0, SOC 2 trust-services criteria (CC6, CC7), GDPR data subject and retention rules, NIST 800-53 control families (AC, AU, CP, IA, SC), ISO 27001 Annex A, GLBA Safeguards Rule, and CMMC 2.0 Level 2 for defense industrial base workloads. We document encryption posture, audit logging, access controls, and change management at the database tier and produce evidence packs for your auditors. For broader cybersecurity context, see our Managed Cybersecurity Services page.

An in-house senior SQL DBA in the U.S. costs roughly $140K to $190K fully loaded, plus a backup person for vacation and after-hours coverage, plus the APM tooling stack. Our Platinum or Diamond tier delivers a senior team and the APM platform for a fraction of that fully loaded cost. The right answer depends on workload size: a single very large mission-critical environment may justify a dedicated in-house DBA; most mid-market environments do not.

Yes. We build and maintain Power BI semantic models, dataflows, datasets, direct query optimization patterns, and row-level security policies that run cleanly on top of well-tuned source tables. Because the same team owns the source database performance and the semantic layer, dashboard slowness is debugged once instead of bouncing between vendors.

Discovery and Audit runs 1 to 3 weeks depending on environment size. Baseline tuning and the first round of remediations land in weeks 3 to 6. APM and database monitoring are typically active by week 6 to 8. Continuous optimization begins in month 3. Smaller environments compress this; multi-instance or regulated environments stretch it. Most mid-market clients are fully onboarded within 8 to 10 weeks.

Yes. Managed database services are delivered remotely via secure jump hosts and read-only Azure portal access, available to businesses across the United States. We have deepest engineering capacity in Northern NJ, the NYC metro, Pennsylvania, and South Florida, but no client we serve is constrained by geography for database work. The service is fully remote.