Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesSometimes, and only under specific conditions. A free VPS can host a small bot, a low-traffic API, or a scheduled automation script safely enough when you run it as an internet-facing server that you administer yourself. The word “free” describes what you pay, not how well the machine is protected. The provider secures the underlying cloud platform. You secure the operating system, the software you install, the ports you open, and the credentials your code uses.
What the provider protects and what stays your responsibility
On an infrastructure-as-a-service (IaaS) virtual machine, responsibility is split between the provider and the customer. AWS describes the arrangement in its Security Pillar documentation: “Security and Compliance is a shared responsibility between AWS and the customer.” The provider handles the physical facilities, hardware, and underlying cloud infrastructure. The customer handles what runs on the virtual machine. The exact boundary varies by provider and service, so check the shared-responsibility page for the specific product you choose. The AWS shared responsibility page in the Security Pillar is a useful reference for how the split is framed, even if you are not using AWS.
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In practical terms, a typical IaaS split looks like this:
| Layer | Usually handled by the provider | Usually handled by you |
|---|---|---|
| Data centers, physical hardware, network backbone | Yes | No |
| Underlying cloud infrastructure and hypervisor | Yes | No |
| Guest OS updates and configuration | No | Yes |
| Installed applications, bot code, API server | No | Yes |
| Cloud firewall or security group rules | Tool provided | Yes, you write the rules |
| Host firewall and listening services | No | Yes |
| API keys, tokens, and stored data | No | Yes |
| User and service permissions | No | Yes |
The consequence is simple: a bot that leaks its token, or an API that listens on a port with no authentication, is a customer-side failure even if the provider’s platform is sound.
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Free offers differ more than their names suggest
“Free” can mean three different things, and the differences matter for how long a workload can run and what it costs to keep running.
| Offer | Type | Stated terms | Conditions to check |
|---|---|---|---|
| Oracle Always Free compute | Ongoing allowance | Up to two VM.Standard.E2.1.Micro instances, plus a monthly allowance of 1,500 OCPU hours and 9,000 GB hours for VM.Standard.A1.Flex. Oracle’s documentation says these allowances equal 2 OCPUs and 12 GB memory for Always Free tenancies. | Resources are restricted to a home region. Service limits apply, and capacity can affect whether a resource can be provisioned. See the Oracle Always Free Resources documentation. |
| Oracle Cloud Free Tier trial | Time-limited credit | US$300 in trial credit usable for 30 days, in addition to Always Free services, according to Oracle’s Free Tier FAQ. | The credit ends after 30 days whether or not you have used it. Confirm current terms in the Oracle Cloud Free Tier FAQ. |
| AWS Free Tier | Credits, a time-limited plan, and monthly Always Free limits | $100 in credits for new accounts, with the possibility of earning up to an additional $100. A Free account plan is intended for up to six months. Over 30 services have Always Free monthly limits. | Compute sizes for these services are not stated in the overview reviewed. Usage beyond the limits is billed, so set billing alerts. See the AWS Free Tier overview. |
These figures are provider offers as they appeared on the pages checked in 2026. They change, so read the current page before you deploy. The figures describe allowances and terms only. They say nothing about compute performance, uptime, or security.
Risks by workload type
The same server can carry very different risk depending on what it runs and who can reach it.
Bots
A chat or trading bot usually holds a platform token that lets it act as the bot account. The most common failure is not the server being broken into but the token being copied out of a repository, a log file, or a shared configuration. Keep the token out of code and logs, and rotate it immediately if it appears anywhere public.
APIs
An API is the workload most exposed by design, because it accepts connections from anyone who can reach its port. Each endpoint needs authentication, input validation, and a rate limit. A small free instance has limited CPU and memory headroom, so a burst of requests, deliberate or accidental, can make the service unresponsive. Decide in advance whether the API is public, restricted to known clients, or reachable only through a private network.
Automation tools
Scheduled scripts and browser automation often hold logins with broad permissions, sometimes running as root because that was the quickest way to make them work. Run them as a dedicated low-privilege account, give each one only the access it needs, and keep session cookies and passwords in protected files rather than inside scripts.
Hardening steps before the workload goes live
The following sequence assumes an Ubuntu or Debian server with a sudo-capable administrator account. Adapt the commands for other distributions.
- Update the system. Run
sudo apt update && sudo apt upgrade -y, and repeat on a regular schedule. Enable unattended security updates if you can accept automatic reboots. - Create a dedicated service account with no login shell. Run
sudo useradd --system --shell /usr/sbin/nologin botrunner, then start the bot or API under that account rather than as root. - Restrict inbound traffic at the cloud layer. In the EC2 console, open Security Groups, or in Oracle Cloud, open the network security list for your subnet. Allow only the ports the workload needs, and close SSH to the public internet if you can reach the server another way.
- Add a host firewall. Run
sudo ufw allow OpenSSHbefore enabling the firewall, then runsudo ufw default deny incoming,sudo ufw default allow outgoing, andsudo ufw enable. Addsudo ufw allow 443/tcponly if the API serves HTTPS. If you enable the firewall before allowing SSH, you can lock yourself out. - Move administration to keys. Install your public key in
~/.ssh/authorized_keys, confirm that you can log in with it in a second terminal, then setPasswordAuthentication noin/etc/ssh/sshd_configand runsudo systemctl restart ssh. Keep your original session open until the new login works. - Store secrets in a protected file. Put tokens in an environment file such as
/etc/mybot/env, set ownership to the service account withsudo chown botrunner:botrunner /etc/mybot/env, and restrict it withsudo chmod 600 /etc/mybot/env. Exclude any local.envfile from version control. - Turn on logging and watch for anomalies. Read service logs with
journalctl -u mybot.service. Check failed SSH attempts withsudo journalctl -u ssh, and considerfail2banto block repeated failures. Alert on unexpected restarts, sustained CPU or network spikes, and unusually high usage.
Keep this sequence in a short written checklist so you can repeat it when you rebuild the server.
Recovery when a free instance is interrupted
Treat a free VM as replaceable. Keep the deployment configuration, the bot or API code, and any irreplaceable data somewhere outside the server, such as a private repository and separate object storage. Store configuration as files you can reapply, not as manual changes you made once and forgot. Then test the rebuild on a second host: if you cannot recreate the service from your notes within a reasonable time, the backup is not yet useful.
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Plan for capacity limits as well. If an Always Free shape cannot be provisioned in your home region, you need a fallback host or a paid instance, so decide this before you depend on the service.
Rules that decide whether the workload is allowed
Running a bot or automated client on a free VPS is not the same as being permitted to do it. Three layers apply. The cloud provider’s acceptable-use terms govern what the server may do. The third-party service’s API terms govern how your bot or script may call that service, including rate limits, automation restrictions, and account rules. Your own use case may also be covered by privacy or data-protection rules if the bot stores user information. The official pages reviewed establish free-tier terms and shared-responsibility boundaries, but they do not establish a blanket permission for every bot, API, or automation workload. Read the rules for each layer before you deploy.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Free or paid: a decision guide
A free VM is a reasonable fit when the stakes are low and you can administer Linux yourself.
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- Stay on a free VM for prototypes, learning projects, and personal bots where a few hours of downtime is acceptable.
- Stay on a free VM when the workload holds no sensitive data, uses a revocable token, and can be rebuilt from notes in an afternoon.
- Move to a paid or managed service when downtime would harm users or revenue, when you need responsive support, or when you need predictable capacity.
- Move to a paid or managed service when you cannot commit time to patching, monitoring, and recovery, because those tasks remain yours even on a managed-looking plan unless the provider explicitly takes them on.
- Compare candidates on security responsibilities, support access, resource limits, availability commitments, backup and restore features, network controls, and total cost once credits expire.
What the evidence does and does not establish
The official sources cited here establish how free tiers are structured and how responsibility is divided on IaaS. They do not provide an incident-rate comparison between free and paid virtual machines, so no such figure is offered here. They do not rank providers on security, and they do not certify any particular bot, API, or automation workload as safe or permitted. Whether a free VPS is safe for your workload therefore depends on your configuration, the provider’s current terms, how exposed the service is, and how much harm a failure would cause.
For the current provider terms and allowances, use the Oracle Always Free Resources documentation, the Oracle Cloud Free Tier FAQ, and the AWS Free Tier overview, and read the shared-responsibility page linked at the top of this article.
Quick Recap
The Bottom Line
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