
Building a multi-region posture with Pixetric
How we design branchable databases for data residency and latency.
Customers increasingly expect fast responses wherever they are, while regulators demand that some data never leaves a region. Here is the playbook we follow when helping teams deploy Pixetric across multiple regions.
1. Start with requirements
- Residency – list the tables or schemas that must remain in-region and whether backups fall under the same rule.
- Latency targets – define p95 expectations for API and analytic workloads so you know where replicas must live.
- Failover tolerance – document how much downtime the business can accept if a primary region fails.
2. Branchable storage seeds new regions
Pixetric's copy-on-write storage makes it cheap to create new regions. Snapshot main, create a branch in the target region, and promote it to its own primary. Because the branch reuses immutable blocks, you avoid transferring terabytes of data during setup.
3. Keep writes centralized, reads distributed
Most teams route writes to a single primary region to preserve strong consistency. Read replicas handle low-latency queries near users. Pixetric continuously replicates WAL changes and lets you promote replicas manually or automatically when disruption happens.
4. Automate policy enforcement
Use branch policies to restrict who can create or promote branches in each region. Audit logs capture every action so compliance teams can review access. Dedicated control planes add private networking for customers with strict security requirements.
5. Monitor the right signals
- Replication lag per region
- Query latency after autoscaling events
- Storage growth per branch (runaway analytics jobs are easier to catch)
With these primitives, multi-region Postgres no longer requires bespoke tooling. Pixetric handles replication, branching, and guardrails so your team can focus on building great experiences.
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