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Marketing copy makes almost every VPS look the same: high performance, unlimited traffic, high uptime. The real differences show up in the virtualization technology, whether resources are actually guaranteed, disk performance and network capacity. This vendor-neutral guide explains which criteria actually matter and how to test them before you buy.
Before comparing price tables, understand that identical vCPU and GB RAM numbers can hide very different technical realities.
Are the resources dedicated (guaranteed) or shared and burstable with other tenants? Ask the provider directly about their oversell policy.
NVMe offers far higher random read/write speed than SATA SSD; for databases and workloads with many small files, IOPS matters more than raw disk size.
The uplink port speed (shared or dedicated) and exactly which attack types and traffic volumes the DDoS protection covers both matter.
How many minutes it takes to get a response when something breaks, and what compensation applies during downtime, should be written clearly into the contract.
VPS mistakes usually aren't noticed in the first week — they surface once traffic grows or something goes wrong.
The cheapest plan usually sits on the most oversold host; CPU steal time rises during peak hours and your application slows down or freezes.
If the server is thousands of kilometers from your audience, latency directly hurts the user experience; the cheapest location isn't always the right one.
On a plan with no snapshot support, or where it's billed separately, recovery time after human error or an attack can stretch out badly.
A promise of 'high uptime' is just a marketing sentence without a written SLA and a compensation clause.
The right VPS decision comes from your workload's real needs, not from a list of offers. The steps below summarize what to verify before you commit.
Measure how much CPU, RAM and disk space you need under average and peak traffic; base this on actual data, not guesswork.
Ask the provider directly whether the advertised vCPU and RAM numbers are dedicated or burstable/shared.
Full virtualization such as KVM provides stronger resource isolation than container-based solutions; find out which technology is actually used.
Clarify the port speed, the monthly traffic allowance, and exactly which attack layers the DDoS protection covers.
Find out how often snapshots are taken, how long they're retained, and whether that's included in the price.
Before buying, ask the pre-sales support line a technical question and measure the real response time and quality.
sudo apt install -y fio fio --name=randwrite --ioengine=libaio --rw=randwrite --bs=4k --size=1G --numjobs=1 --runtime=60 --direct=1 --group_reporting
dd if=/dev/zero of=testfile bs=1M count=1024 oflag=direct status=progress rm -f testfile
mtr -rw -c 100 SUNUCU_IP ping -c 20 SUNUCU_IP
vmstat 1 10 # the %st column should stay near 0; consistently high values suggest an oversold host
Turkey (Turkish)
Germany (German)
Worldwide (English)
curl -o /dev/null -s -w 'HTTP %{http_code} - %{time_total}s' http://SUNUCU_IP
nc -zv SUNUCU_IP 22- What percentage uptime is guaranteed outside planned maintenance? - What is the compensation policy for downtime? - What is the average support response time? - Is snapshot/backup included in the price? - Can resources be upgraded without downtime?
No. Part of the price difference can simply come from marketing or brand positioning. But if the price is extremely low, it's reasonable to assume it comes from oversold resources, older hardware or limited support; verify this with disk and CPU tests during a trial period.
CPU steal time is the percentage of time your virtual server wanted CPU cycles but had to wait because the physical processor was allocated to other virtual machines. Consistently high steal time is a strong signal that the host is oversold and real performance will fall short of what was advertised.
Yes. Full virtualization like KVM gives every VPS its own kernel and strong resource isolation. Container-based solutions are lighter but isolation is weaker; heavy usage on a neighboring virtual server can affect you too. KVM is preferred for workloads needing custom kernel modules or strict isolation.
A small web application or API server typically starts at 1-2 vCPU and 2-4 GB RAM; this grows quickly once the database, cache and background jobs share the same server. Instead of guessing, measure your actual traffic and leave a 30-50 percent margin.
The location closest to your users is almost always the right choice; latency affects user experience and some SEO signals. A few extra tens of milliseconds on your own SSH connection matters far less than the end-user experience.
At minimum, an automated snapshot/backup option taken at regular intervals and stored independently of the server. A backup approach following the rule of three copies, two different media, one off-site means keeping your own backups in addition to whatever snapshot the provider offers.
The official project page for the full virtualization technology built into the Linux kernel.
The IETF standard describing DDoS/DoS attack types and mitigation approaches.
The official usage guide for the open-source tool used to measure disk I/O performance.
Check out our Linux VPS plans with guaranteed resources, NVMe storage and full root access.