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THE STRATUM BLOG

Notes from the platform team

Deep dives on infrastructure, performance, and the decisions behind how Stratum is built.

Latest articles

Point-in-time recovery: backups you can bet on
DATABASES

Point-in-time recovery: backups you can bet on

A backup you have never restored is just a rumour. Point-in-time recovery turns "we think we can recover" into a number you can prove.

Jan 28, 2026 · 1 min read
Sample demo image
DATABASES

Provisioning Postgres read replicas without downtime

Read replicas absorb query load and give you a hot standby for failover. Here is how we provision them across regions, keep replication lag under a second, and promote a replica without dropping a single connection.

Sep 14, 2021 · 1 min read
Sample image
DATABASES

Blue-green database migrations at scale

Schema changes are the scariest deploys of all. We run expand-and-contract migrations behind a feature flag, keep both schema versions live, and cut over only once the new path is fully verified.

Sep 14, 2021 · 1 min read
Planet-scale anycast
ENGINEERING

Building a planet-scale anycast network from scratch

How we designed Stratum's edge to route every request to the closest healthy region in under 20 milliseconds — and what we learned tearing down three previous architectures along the way. A candid account of the rewrites that shaped the network Stratum runs today.

Jun 1, 2026 · 3 min read
Network traffic routing
ENGINEERING

How we route traffic across 30 regions with anycast

A deep dive into the network architecture that powers sub-20ms latency for users on every continent.

May 28, 2026 · 1 min read
Edge caching strategies that cut origin load by 90%
NETWORKING

Edge caching strategies that cut origin load by 90%

Most requests never need to touch your origin. We walk through cache-key design, stale-while-revalidate, and per-route TTLs that keep content fresh while shielding your backend from traffic spikes.

Sep 14, 2021 · 1 min read

Subcategories

Compute

Containers, VMs, and serverless that scale on demand.

Databases

Managed Postgres, Redis, and analytics engines.

Networking

Anycast, load balancing, and private links.

Security

Encryption, compliance, and access control.

AI / ML

GPUs, inference, and model deployment.

Observability

Metrics, tracing, and logging at scale.

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