Data & Platform

    Database Migration

    Databases are the part of a migration that cannot be redone casually. The approach is always the same: replicate, verify, cut over in stages, and keep the source intact until you are certain.

    Start with the audit

    No sales layer, no juniors. You meet the engineer before anything begins.

    // What is included

    What you get

    • Replication set up so source and destination stay current during the move
    • Row counts and checksums verified before any traffic switches
    • A staged cutover with a way back at each step
    • The source left running and intact until you confirm

    // How it runs

    The sequence

    1. 01

      Replicate

      Stand up the destination and keep it in sync under load.

    2. 02

      Verify

      Prove the data matches before anything is switched.

    3. 03

      Cut over

      Staged switch with rollback available at every stage.

    // Stack

    • Amazon RDS
    • PostgreSQL
    • MySQL
    • Amazon ElastiCache
    • Redis
    • AWS

    // Related work

    Where this has been done before

    Client names under NDA. The numbers are not.

    Zero-downtime Redis to ElastiCache migration (martech SaaS, NDA)

    • Replication-based sync kept both caches current
    • Circuit breaker in the application path to fail safe
    • Traffic cut over in stages, verified at each step

    0 minutes of user-facing downtime

    Self-hosted infrastructure retired onto managed services (NDA)

    • Self-managed Kubernetes to ECS and Fargate
    • Configuration store to Parameter Store and Secrets Manager
    • Artifact repository to ECR and CodeArtifact

    Four self-maintained components retired

    All case studies

    // Questions

    Before you ask

    Talk to the engineer who would do the work

    A 20 minute call. You describe your setup, you get an honest read on whether this helps, and the top risks worth looking at first.

    See pricing