Replication specialists for your dedicated team.

Where replication fits in a long-term product team.

Replica lag is the thing applications get wrong. A write to the primary followed immediately by a read from a replica may not see it, which produces the classic defect where a user saves something and it appears not to have saved. The application has to decide, per read, whether it can tolerate slightly stale data.

Failover is the other half and is frequently untested. Promoting a replica involves the promotion itself, redirecting applications, and handling any writes the old primary accepted but did not replicate. A failover procedure that has never been exercised is a plan, not a capability.

What your dedicated team does with replication.

Replication is usually introduced for read scaling and then quietly relied on for availability, without the failover work that assumption requires. The gap is discovered during the incident it was supposed to protect against.

Testing failover deliberately is ordinary operational rigour, held by the assigned capacity as part of the standards described in how an assignment runs.

Common replication use cases.

• Read load moved off the primary Reporting and analytics served from replicas, with staleness tolerance decided per read.
• Failover that has been exercised Promotion tested, so availability is a proven capability.
• Lag monitored and acted on Replica delay alerted, because a lagging replica silently serves old data.

Adding replication skills to your team.

Replication work sits with a dedicated data engineering team, with failover tested regularly.

You can add replication capacity as one dedicated specialist or as part of a wider remote team, managed by a service delivery manager from our offices in Thailand. Companies hire dedicated developers this way under one agreement and one monthly fee.