A bigger server helps when the resource you increase is actually limiting the website. Measure the affected actions first. Otherwise, it is possible to pay more each month while leaving the main delay in place.
Ask what is using the time.
A request may spend time running code, waiting for data, reading storage or contacting another service. Those are different problems. If an outside request takes several seconds to respond, adding memory to your server does not make that outside service answer faster.
Start with the pages and actions that feel slow, then inspect what happens while they run. The result should be a specific explanation, not just a recommendation to buy the next server size.
Distinguish spare capacity from a suitable configuration.
An AWS instance brings a particular mix of processing, memory and other characteristics. The software configuration determines how that capacity is used. Storage and the database also deserve their own review.
For sites on burstable instances, check how the CPU model fits sustained demand. That does not mean those instances are wrong for every website. It means the choice should be made from the workload rather than the name or price alone.
Agree on a useful before-and-after comparison.
- Choose a few representative pages and admin actions.
- Check logged-in behavior if the site has members or customers.
- Use similar test conditions and record the important settings.
- Check business functions after any server or code changes.
- Compare the running cost as well as the response time.
Use a case study as context, not a universal rule.
Knowness needed a review of both its WordPress membership workload and its existing AWS environment. We redesigned the hosting for that project and migrated the website.
The lesson is to investigate before choosing the fix. Another website might need a code change, a database improvement or a simpler configuration. Ask the developer to connect each recommendation to the actual delay they found.