Scattered audience
If your visitors span several regions or countries, the speed difference is immediately measurable.
HOSTING
Edge hosting
Your site served from your visitor's own city.
Edge hosting spreads your application across servers in many cities rather than a single data centre. A visitor in Montreal is served from Montreal, a visitor in Paris from Paris. The distance the data travels shrinks, and so does the wait before anything appears. We deploy mainly on Vercel and Fly.io depending on the project.
What it brings
- Shorter load times, especially on mobile and outside major hubs
- Releases without server handling: deployment is automatic on every merge
- Traffic spikes absorbed without anyone intervening
- Instant rollback if something goes wrong, with nothing to rebuild
When it genuinely counts
Uneven traffic
Campaigns, launches, seasonality: capacity follows demand without anyone provisioning ahead of time.
Frequent releases
When you ship several times a week, automated deployment removes a constant source of mistakes.
What to be aware of
These platforms bill by usage: very high traffic can cost more than a well-sized traditional server. Some data-residency constraints — sensitive data that must stay in Canada, for instance — require specific configuration or dedicated hosting. We raise that before choosing, not after.
Where we stand
We choose hosting based on your audience, your regulatory constraints and your running budget. Edge is an excellent default; it is not universal.
How we validate technical adoption
A technology is not selected for popularity. We build a small proof around the primary risk, then verify that the team can operate it. The decision accounts for the existing product, available skills, security, hosting, migration and maintenance cost over several years. We also examine the maturity of the ecosystem, upgrade paths, observability, licensing and the availability of reliable documentation. Before committing, the prototype is tested against a representative workflow and a realistic data volume. The resulting recommendation records both the reasons to adopt the component and the conditions under which it should be reconsidered. It also names the operational owner and the evidence needed for the first post-launch review.
Compatibility
The component must fit existing data, tools, languages and deployment constraints.
Maintainability
Another person must be able to understand, test and evolve the solution without relying on one author.
Measurement
Performance, errors, delivery time and operating cost are compared with a known baseline.
Exit
The strategy explains how to migrate data, replace the dependency or roll back when the context changes.
A slow site or hosting to reconsider?
We measure your real response times by region and tell you whether changing hosting is worth the move.
Have your performance measuredOther pieces of the stack