Move to Managed Databases
“We're patching database servers instead of building product”
Self-managed databases on EC2. Your team handles patching, backups, replication, and failover manually. Every upgrade is a weekend project. Nobody's confident the backups actually work.
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Automated backups, high availability, and zero patching weekends.
Fully managed databases on AWS. Point-in-time recovery, automated failover, and read replicas built in. Your team focuses on schema design and query performance, not server maintenance.
Your database server needs patching. It’s been on the list for three months, but nobody wants to touch production on a Tuesday and nobody wants to give up their weekend. So the patch waits, the vulnerability grows, and everyone hopes nothing happens before the next maintenance window.
Meanwhile, backups run on a cron job that someone set up two years ago. It probably works. Nobody’s tested a restore recently. Replication lag spikes during peak hours and the alerts have been silenced because they fire too often.
Why self-managed databases drain your team
Database administration is relentless, invisible work. When it’s done well, nobody notices. When it’s not, the business stops. Your engineers carry this weight alongside their product work, and it’s the product work that always gets squeezed.
Patching, backup verification, failover testing, capacity planning, performance tuning. Each task is manageable on its own. Together, they consume hours every week. And the consequences of getting any one wrong range from a slow query to a data loss incident.
The worst part is the false confidence. Your database “works”. Until a failover reveals the replica was three hours behind, or a restore attempt shows the backups were silently failing for weeks.
How we migrate databases
We don’t rush a database migration. Data is the one thing you cannot afford to get wrong, so we plan meticulously and validate obsessively.
Assessment before commitment. Every stored procedure, trigger, view, and engine-specific feature catalogued. Compatibility with the target platform assessed. Migration complexity scored so there are no surprises.
Parallel environments. The target database runs alongside the source, receiving replicated data via AWS DMS. Application code is tested against the target engine in a staging environment that mirrors production. Issues are found and fixed before cutover.
Controlled cutover with rollback. Traffic switches to the managed database only after validation confirms data integrity. DMS keeps the source database in sync throughout, so rolling back is a configuration change, not a crisis.
What's usually in the way
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Complex schema and stored procedures that don't translate cleanly
Years of business logic embedded in stored procedures, triggers, and engine-specific features. A straight migration would break things silently. The kind of breakage that only surfaces in production.
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Application code tightly coupled to database engine
Connection strings, query syntax, and ORM configurations are wired to a specific database version. Changing the engine means changing the application, and nobody's mapped the full surface area.
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Migration risks data loss or extended downtime
Your database is the one thing that absolutely cannot go wrong. A failed migration means lost transactions, corrupted state, or hours of downtime. The risk keeps pushing the project back quarter after quarter.
What we resolve
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Schema assessment and migration planning with dry runs
We audit every stored procedure, trigger, and engine-specific feature before migration begins. Compatibility gaps are identified and resolved in staging. Never discovered in production.
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Compatibility testing and application code changes before cutover
Application queries tested against the target engine in a parallel environment. ORM configurations updated. Edge cases caught and fixed before any production traffic moves.
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AWS DMS for zero-downtime migration with rollback
Database Migration Service replicates data continuously while both databases run in parallel. Cutover happens when validation confirms the target is identical. Rollback is always available.
Ready to take the next step?
No obligation, just a clear conversation about where you are and what's possible.