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A $6-per-month server handled 9,737 requests per second in one test—but that was for a small static page, not a typical database-backed application. In Remdore’s September 21, 2026 benchmark, the same one-vCPU, 1 GB DigitalOcean Droplet served API, SQLite, and server-rendered workloads at roughly 500 to 1,300 requests per second, depending on concurrency. Those results describe one setup and workload, not a guarantee for every inexpensive server.

What the $6 server handled in the test

Remdore tested a DigitalOcean s-1vcpu-1gb Droplet in Frankfurt, described in the article as costing $6 per month or $0.00893 per hour. It ran Node 22 behind nginx. A separate four-vCPU, 8 GB Droplet in the same region generated load. Each workload result was the mean of three 15-second runs. The figures below are Remdore’s reported measurements, not an independent reproduction. Read the benchmark and its test details.

Workload At 100 connections At 400 connections p50 latency at 100 connections Errors reported
6.7 KB static page via nginx 9,737 requests/s ±491 9,773 requests/s ±405 9.2 ms 0
JSON endpoint via Node 1,291 requests/s ±28 672 requests/s ±67 67 ms 0
SQLite query: 5,000-row table, 20 rows returned 1,049 requests/s ±4 556 requests/s ±119 82 ms 0
Server-rendered HTML using that query 1,099 requests/s ±39 521 requests/s ±109 79 ms 0

Remdore also reports 1,117,976 requests with no non-2xx responses in the initial verification run. In the measured results, the static page sustained about 9,700 requests per second, while the dynamic workloads achieved about 500–1,300. A server’s request capacity therefore depends heavily on what each request makes it do; the static-page figure should not be used as an estimate for an application that queries a database or renders a page for each visitor.

What caching changed—and what it did not prove

Remdore added a ten-second nginx proxy_cache to the rendered route and reported 18,662 requests per second at 100 connections and 18,557 at 400 connections. This is a large throughput increase when requests can be served from a cached response, but the cached page may be up to ten seconds old. That delay may be acceptable for relatively stable public content; it may be unsuitable for personalized pages or information that must reflect changes immediately.

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The first 400-connection cached run logged 311 non-2xx responses among 1,651,331 requests. Remdore attributed those errors to file-descriptor limits, then changed nginx to worker_connections 8192 and raised LimitNOFILE. In a subsequent run, the article reports 840,277 requests at 18,557 requests per second with zero errors. Because caching and configuration changes both feature in the sequence, the error-free result should not be credited to caching alone.

What limited the run

In the observed run, the CPU was the saturated resource: Remdore measured 57% user time, 21% kernel time, and 2% idle on the single core. Free memory reportedly stayed above 596 MB out of 961 MB; nginx used 10 MB and Node 83 MB. CPU steal averaged 0.58%, with a reported one-second spike to 23%. These are measurements from this particular test, not general specifications for what a one-vCPU server will do under other workloads.

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Configuration also mattered at high concurrency. The initial cached run’s file-descriptor errors were followed by changes to the worker connection setting and process file limit, after which the next reported run had no errors. The benchmark illustrates why a throughput number alone is incomplete: the result also depends on whether requests succeed and how long they take.

Bandwidth can become the practical ceiling

For the static page, Remdore reports 64.6 MB/s of outbound traffic. The article says the tested plan included 1 TB of monthly outbound transfer and calculates that sustaining the benchmark rate would use that allowance in four hours and 18 minutes. It estimates about 146 million page views per terabyte for a page of that size. These are the author’s calculations based on the test and the stated allowance; provider plan terms can change, and sustained benchmark traffic is a scale illustration rather than a forecast of ordinary website use. Remdore also notes that an earlier page-view calculation used the wrong unit conversion and was corrected.

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How to apply the result to your website

  • Match the workload. A static file, an API handler, a database query, and server-rendered HTML are not interchangeable. The benchmark’s static rate was several times the dynamic rates.
  • Look at concurrency and latency together. In the reported uncached results, increasing connections from 100 to 400 coincided with lower request rates for the API, SQLite, and rendered workloads. The p50 figures are specifically for 100 connections; they do not describe tail latency or guarantee response times under your own traffic pattern.
  • Account for error rates. A high request rate is useful only if responses succeed. The cached high-concurrency run had errors before file-descriptor settings were changed.
  • Decide how stale a response may be. A ten-second cache produced much higher reported throughput for the rendered route, but only where serving a recently cached response is acceptable.
  • Check transfer limits alongside compute. A server may have enough CPU and memory for a workload while its outbound allowance constrains sustained delivery.

Remdore’s conclusion captures the distinction between machine capacity and setup: “The $6 machine never hit its limit in that test. My configuration did.” That is a useful reading of this experiment, not evidence that every $6 server has unused capacity or can serve a particular site’s traffic. The result remains one short benchmark using a specific application, region, load generator, and configuration.

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