Updated for 2026 — Post-ADS Migration Workflow

40+ Migration Steps.
Miss One. Lose Days.

A phased, actionable migration playbook for SQL Server 2016–2022 → Azure SQL Managed Instance — from assessment to production cutover.

7-page checklist
4–6 week migration timeline
T-SQL code samples
30-day sprint plan
⚠️
Azure Data Studio migration extension retired February 28, 2026

All migrations now flow through SSMS Migration Wizard or Azure DMS v2. This is the only checklist updated for the post-ADS world — so you won't get halfway through a migration and hit a deprecated toolchain.

1
Pre-Migration Assessment
1–2 weeks

The phase most teams rush — and pay for later. Everything from running DEA to identifying linked servers, CLR assemblies, and Agent jobs that need rework before you migrate a single byte.

  • Database Experimentation Assistant (DEA) setup and baseline capture
  • SSMS assessment wizard — feature parity gap analysis
  • Linked servers, CLR assemblies, and MSDB jobs inventory
  • Service tier selection (General Purpose vs. Business Critical)
  • Sizing: storage, vCores, IOPS estimates for production workload
2
Network & Infrastructure Setup
3–5 days

The most underestimated phase. VNet, subnet delegation, NSGs, and routing mistakes here will cause cryptic failures during migration execution — not during setup.

  • VNet creation, subnet delegation (/27 minimum for MI)
  • NSG rules: management ports, required outbound traffic
  • VPN gateway or ExpressRoute — connectivity validation
  • Route table configuration for MI subnet
  • Managed Instance provisioning (allow 4–6 hours)
3
Data Migration Execution
1–3 days

Three paths, each with different tradeoffs. The checklist walks through all three — with T-SQL code samples for backup/restore and log shipping that you can use directly.

  • SSMS Migration Wizard — recommended for most workloads (2026 toolchain)
  • Azure DMS v2 online migration — for minimal-downtime requirements
  • Native backup/restore to Azure Blob Storage — T-SQL included
  • Log shipping configuration for near-zero downtime
  • Migration progress monitoring queries
4
Post-Migration Validation
1–2 days

The checklist most teams skip until something breaks in production. Every item here corresponds to a class of production incident — validate before you cut over.

  • Row count verification across all migrated databases
  • Login and user recreation (SQL Server vs. Azure AD auth)
  • SQL Agent jobs re-creation and schedule validation
  • Linked server re-configuration or removal planning
  • Compatibility level upgrade, Query Store baseline, backup policy
5
Cutover & Go-Live
2–4 hours

The 2-hour window where everything either works or you roll back. The checklist covers every step in sequence — no guessing under pressure.

  • Final transaction log backup and restore sequence
  • DNS / connection string cutover procedure
  • Application smoke test checklist (what to verify, in order)
  • Azure Defender for SQL and alerting enablement
  • Rollback criteria and decision points

30-Day Sprint Timeline

Week-by-week breakdown of every phase — ready to paste into your project plan.

Common Blockers & Fixes

The 8 most common migration failures, what causes them, and how to resolve each.

T-SQL Code Samples

Backup/restore scripts, log shipping setup, and migration progress queries — ready to run.

Who This Is For

SQL Server DBAs planning or executing an Azure SQL MI migration in 2026
Data engineers responsible for migrating SQL Server 2016, 2017, 2019, or 2022
Teams whose prior migration plan referenced Azure Data Studio — which is now retired
Organizations migrating production workloads of 50–500 GB where downtime must be minimized
Anyone who wants a pre-validated checklist before presenting a migration plan to stakeholders

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Updated for post-Azure Data Studio (2026)
Written by a DBA with 20+ years SQL Server experience
Covers SQL Server 2016, 2017, 2019, and 2022

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