Scaling and monitoring applications on DigitalOcean

How to grow DigitalOcean-hosted applications using measured capacity, stateless services, queues and useful monitoring. This guide explains the practical decisions behind it and what those decisions mean for the people using and operating the product.

Measure before scaling

CPU, memory and request counts are useful, but slow queries, queue delay and external APIs may be the real constraint. Connect infrastructure metrics to customer journeys.

Make application instances replaceable

Shared files and sessions should live in suitable external services so another instance can take traffic. Health checks must identify an instance that is running but unable to serve correctly.

Use queues to absorb uneven work

Imports, notifications and media processing can run separately from web requests. Scale workers from queue delay and job duration rather than only total traffic.

Design database capacity deliberately

More web instances can create more connections and queries. Optimisation, pooling, indexes and managed database sizing need to move with the application.

Set alerts that lead to action

An alert should identify an owned threshold and response. Too many unactionable notifications train teams to ignore the event that genuinely matters.

Explore our Digitalocean technology page or discuss the requirement with Noviom Labs.