watchmy.cloud vs AWS Budgets: what's different?

Quick answer: AWS Budgets tells you when spend crosses a limit you set. It updates up to three times a day, on daily data. watchmy.cloud reads hourly Cost Explorer data, spots the spike itself, and sends it to Slack, Jira, email, SMS or a webhook. You hear about it in hours, not tomorrow.

If you own the AWS bill on an engineering team, you have probably set up AWS Budgets. This article covers what it does well, where it is slow, and when you need something else.

What does AWS Budgets do?

AWS Budgets tracks spend against a number you pick. You set a monthly budget — say $5,000 — and AWS alerts you when actual or forecast spend crosses a threshold you also pick.

It does one job well: keeping a known total under a known limit. It is built into AWS, it lives in the console, and alerts go to email or an SNS topic.

How fast does it alert you?

Not fast. AWS updates budget data up to three times a day, 8 to 12 hours apart. There is also a lag between running up a charge and seeing it billed.

So a spike that starts at 9 AM can wait until evening. And it fires only if it crosses a line you guessed in advance. A $300 runaway job inside a $5,000 budget never crosses that line at all.

How much work is the AWS-native path?

This is the part people underrate. With AWS alone, you do all of it:

• Pick the budget. Pick every threshold.

• Create an SNS topic. Subscribe to it. Confirm the subscription.

• Wire Slack through a separate Amazon Q Developer setup.

• Re-tune the numbers when normal drifts.

Nothing creates itself. Nothing updates itself. Your team grows, normal spend doubles, and the thresholds are yours to fix.

What does watchmy.cloud do instead?

Connect AWS. Read-only billing access. No keys. No access to what you run. One CloudFormation template, about two minutes.

Send it where work happens. Slack for fast triage. Jira for follow-up. API when you want control.

Stop worrying about it. We watch AWS spend for you, so you don't have to keep checking it.

After the connect, it runs automagically. The baseline follows your own spend, service by service. One dial, 1 to 5, sets how sensitive the anomaly rules start. Tune any rule by hand from there. Hour-level detection needs hourly granularity on in Cost Explorer, which AWS bills at about a cent per resource per day.

Who gets paged when your bill doubles?

Nobody at AWS. That is not a dig. It is how the incentives sit. AWS bills what you use, and a quiet spike is your problem. You find it on the invoice.

We sell the opposite. Watching AWS spend is our full-time job. You focus on your product — and sleep well.

When is AWS Budgets enough?

If your spend is flat, your budget is fixed, and finding out tomorrow is fine, use AWS Budgets. It comes with your account and it does that job. It also tracks Reserved Instance and Savings Plans use, which we do not.

When do you need spike detection?

You need it when the shape of your spend can change fast and quiet. Autoscaling that runs away. A retry storm on NAT gateway data. A test environment nobody turned off. A leaked key that buys a stranger two days of your compute.

An email in a busy inbox is not enough here. A spike is a to-do, not a newsletter.

Most people search for billing alerts after the incident, not before. A forgotten GPU instance runs about $3,000 a week. Then comes the shock, and the debt to AWS. If you are reading this before that happened, you are early — and this is a ten-minute job.