I recently started using Application Insights for my small API project to monitor errors and performance, expecting the costs to be low—around £500 (roughly USD 6) a month. However, my Azure bill for telemetry this month was a shocking £2,200 (USD 27). This seemed outrageous for a lightweight API that processes about 50,000 requests daily with just a couple of endpoints. I thought the first 5 GB per month was free, so I'm puzzled about why the bill is so high. How can I effectively manage these costs without losing critical monitoring capabilities?
5 Answers
Watch out for those reserved costs that come with log ingestion! If you’re concerned about spending too much, try moving older data to an archive tier, but remember that if you don’t really need certain logs, it might be best to avoid logging them at all.
Make sure you're studying the SDK! Implementing sampling can help, but it can be a bit tricky. Just be prepared to code a fair amount.
I recommend checking your configurations daily after enabling new features. Everything in Azure can end up being ‘unexpectedly’ costly, especially if you don’t keep an eye on what you’ve activated.
Think about the logs you really need. For example, if you’re logging successful requests that offer no further value, consider skipping those logs entirely.
Check the usage and estimated costs settings in your App Insights resource. You can enable sampling and set daily data caps to help manage costs. Also, take a closer look at the types of telemetry data your API sends; there might be some data you can skip altogether. Consider adding some processing code to filter out unnecessary telemetry before sending it to App Insights.
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