Low-Resource Error Tracking for Cheap VPS & ARM
Error tracking for the small server you already have
One Docker container. ARM friendly. Designed for modest CPU, RAM, and disk. Run production error tracking without over-provisioning a monitoring stack.
Telebugs is built to run efficiently even on modest hardware.
Quick answer: can error tracking run on a cheap VPS?
Yes, if the error tracker is designed for that job. Telebugs is a focused self-hosted error tracker that runs as one Docker container, supports AMD64 and ARM64, and uses Sentry SDK compatible error ingestion. The recommended minimum in the Telebugs system requirements is 1 GB RAM, 40 GB disk, and 1 CPU core.
The important distinction is scope. A broad observability platform can need much more hardware. A focused error tracker can stay small if it handles ingestion, grouping, notifications, retention, and cleanup without asking you to operate a multi-service platform.
The low-resource challenge
Many teams run on tight infrastructure:
- Cheap VPS instances with 1 GB, 2 GB, or 4 GB RAM.
- ARM-based devices (Raspberry Pi, cheap cloud instances, edge hardware).
- Home servers, internal boxes, or minimal cloud setups where every MB counts.
- Side projects, internal tools, or small deployments where spinning up heavy self-hosted stacks isn't realistic.
Full self-hosted Sentry is often the wrong shape for this hardware. Sentry's self-hosted docs list 4 CPU cores, 16 GB RAM plus 16 GB swap, and 20 GB free disk as minimum resources, with 32 GB RAM recommended. The same docs explain that self-hosted Sentry relies heavily on disk I/O because databases, message brokers, and other services run together on one machine.
Telebugs takes the narrower path: collect errors, group them, show useful debugging context, notify the right people, and keep data on your server.
Resource comparison
| Area | Self-hosted Sentry | Telebugs |
|---|---|---|
| Recommended minimum | 4 CPU cores, 16 GB RAM plus 16 GB swap, 20 GB free disk; 32 GB RAM recommended. | 1 CPU core, 1 GB RAM, 40 GB disk for small setups. |
| Architecture | Docker Compose stack for a broad Sentry platform, including databases, brokers, workers, and related services. | One Docker container for focused production error tracking. |
| Best fit | Teams that want to run the broad Sentry platform and have platform capacity to operate it. | Teams that mainly need errors, grouping, stack traces, breadcrumbs, releases, notifications, retention, API, and MCP. |
| Small-server risk | Disk I/O, memory, queueing, and upgrade work can become the main project. | Capacity still depends on event volume and retention, but the operating surface is much smaller. |
Sources: Sentry self-hosted docs and the Telebugs system requirements.
How Telebugs runs light
Telebugs was designed from the ground up for exactly these environments.
- Single Docker container. No fleet of services to coordinate for the core product.
- Low resource footprint. The documented minimum is 1 GB RAM, 40 GB disk, and 1 CPU core. Small-to-medium projects are better served by 4 GB RAM, 80 GB disk, and 3 CPU cores.
- Ingest protection. Cap accepted errors per minute in the UI so one runaway application cannot overwhelm a small server.
- Native ARM support. Works on Raspberry Pi, Apple Silicon, and ARM cloud instances out of the box.
- Data retention controls. Keep disk usage reasonable by deciding how long error data and artifacts should remain.
- Sentry SDK compatible. Keep the SDKs and instrumentation you already use for error reporting.
- MCP for AI tools. Let approved coding tools inspect error context from your small self-hosted server.
You get real error tracking (grouping, context, notifications, releases, sourcemaps, retention, and MCP error tracking) without the heavyweight infrastructure tax.
Capacity planning for small servers
The Telebugs manual includes rough throughput estimates for capacity planning. As of the current system requirements page, a 2-core server is estimated around 30 errors per second, and the benchmark write-up explains why measured processed reports per second matter more than accepted HTTP requests during a burst.
In practice, small-server planning is about four knobs:
- Error volume. A side project and a busy API have very different steady-state rates.
- Retention. Shorter retention keeps the database and disk smaller.
- Artifacts. Sourcemaps and attachments need disk planning, especially on tiny VPS plans.
- Spike protection. Ingest limits protect a small box during a bad deploy or infinite error loop.
For the detailed benchmark, see How many errors can Telebugs process on a small VPS?.
When this makes sense
Ideal for:
- Teams on budget VPS or constrained cloud environments.
- ARM or edge deployments (IoT, embedded, small servers).
- Side projects, internal tools, staging environments, or low-traffic production apps.
- Agencies that want one small self-hosted instance for many modest client projects.
- Anyone who wants professional error tracking without over-provisioning hardware or paying ongoing SaaS fees.
If you have heavy traffic or need advanced APM features at scale, you may eventually outgrow the lightest setups — but you can always move to more resources later without changing your client code.
For the broader hosting and data-control decision, start with self-hosted error tracking.
Frequently asked questions
What are the actual resource requirements?
The Telebugs manual lists a recommended minimum of 1 GB RAM, 40 GB disk, and 1 CPU core. For small-to-medium projects, it recommends 4 GB RAM, 80 GB disk, and 3 CPU cores. Actual needs depend on error volume, retention, artifacts, and how many projects share the instance.
Can I run error tracking on a 1 GB VPS?
Yes for small workloads. A 1 GB VPS is a reasonable starting point for low-volume apps, staging, internal tools, or side projects. Use retention limits and ingest protection, then move to more CPU/RAM if event volume grows.
Does it work on Raspberry Pi or ARM?
Yes. The Telebugs manual lists ARM64 support, and Docker-based installs work on ARM cloud instances, Apple Silicon, and Raspberry Pi-class hardware when the device has enough RAM and disk for your event volume.
Can I still use Sentry SDKs?
Yes. Telebugs is Sentry SDK compatible for error tracking. Change the DSN and standard Sentry SDK error events go to your own instance.
How does this compare to self-hosted Sentry on low hardware?
Sentry's self-hosted docs list minimum resources of 4 CPU cores, 16 GB RAM plus 16 GB swap, and 20 GB free disk, with 32 GB RAM recommended. Telebugs is deliberately minimal so it can run where heavier stacks cannot.
How do I protect a small server from error spikes?
Use Telebugs ingest protection to cap accepted errors per minute, set retention policies, and monitor disk usage. A runaway app should not be allowed to turn a cheap VPS into a queue and storage incident.
Will I outgrow a low-resource setup?
Maybe. If you have high steady-state error volume, long retention, many projects, or large artifacts, move Telebugs to a larger server. The application-side migration remains the same because your apps keep using Sentry SDKs.
Is this an APM or observability platform?
No. Telebugs is focused error tracking. If you need a full observability platform with tracing, profiling, replay, logs, dashboards, and uptime monitoring, choose a broader tool. If you mainly need production errors, Telebugs keeps the server footprint smaller.
Ready for error tracking that fits in a small box?
Review installation expectations, pricing, or request a private demo. When you are ready, buy Telebugs and run it on your low-resource setup.