Choosing an IaaS provider is rarely black and white. They all promise "high availability," they all publish SLAs, they all show competitive prices on their landing pages. But when you run an actual production workload, the differences emerge: the SLA has exclusions you didn't expect, real-world uptime doesn't always match the promise, and the final bill includes egress, storage, and ancillary services that never appear in the comparison table.
This article compares seven providers I've worked with directly — AWS, Oracle Cloud (OCI), Hetzner, Vultr, Linode (Akamai), DigitalOcean, and OVHcloud — across three dimensions that actually matter in production: contractual SLA, historical real-world uptime, and total cost for a reference instance (4 vCPU / 16 GB RAM).
The Problem with SLAs
Every provider publishes an SLA. But an SLA isn't a guarantee of future availability — it's a maximum compensation limit for breach of contract. And the fine print varies dramatically.
What does each SLA actually cover?
| Provider | SLA (single-instance) | Tolerance/month | Credit if breached | Covers software/OS? |
|---|---|---|---|---|
| AWS EC2 | 99.5% | 3h 39min | 10% (<99%) / 30% (<95%) | ❌ |
| AWS EC2 multi-AZ | 99.99% | 4.3min | 10% (<99.99%) | ❌ |
| OCI Compute | 99.9% | 43min | 10% (<99.9%) / 25% (<99%) / 100% (<95%) | ❌ |
| OCI cross-AD | 99.99% | 4.3min | 10% (<99.99%) | ❌ |
| Hetzner Cloud | 99.9% | 43min | Proportional to hourly rate (very small) | ❌ |
| Vultr | 100%* | 0min official | 12h-1 month free (with exclusions) | ❌ |
| Linode/Akamai | 99.99% | 4.3min | Credit-backed | ❌ |
| DigitalOcean | 99.99% | 4.3min | Varies by product | ❌ |
| OVHcloud VPS | 99.9% | 43min | 10% (<99.9%) / 30% (<99%) / 100% (<95%) | ❌ |
Real-world uptime: what independent monitoring says
The SLA is the floor, not the ceiling. Here's what multiple independent monitoring sources report as real uptime:
| Provider | Measured uptime | Expected downtime/month | Notable incidents (2025-2026) |
|---|---|---|---|
| AWS | 99.99%+ | ~4 min | Rare, but severe when it happens (Kinesis us-east-1 2025) |
| OCI | 99.95%+ | ~21 min | Sporadic AD-level incidents |
| Hetzner | 99.95% | ~21 min | Leaf faults, scheduled power maintenance |
| Vultr | 99.9-99.99% | ~4-43 min | Varies by datacenter, NJ is stable |
| Linode (Akamai) | 99.99%+ | ~4 min | Backed by Akamai Prolexic infrastructure |
| DigitalOcean | 99.95-99.99% | ~4-21 min | Isolated regional incidents |
| OVHcloud | 99.9-99.95% | ~21-43 min | Recovered well from 2021 SBG fire, stable networks now |
Pricing: the table everyone looks at first
For a fair comparison, I'm using a reference instance: 4 vCPU / 16 GB RAM (equivalent to an AWS t4g.xlarge or an OCI A1.Flex with 4 OCPU).
| Provider | Plan | CPU | RAM | Local storage | Included traffic | Price/month | Architecture |
|---|---|---|---|---|---|---|---|
| AWS | t4g.xlarge | 4 vCPU | 16 GB | EBS (separate) | per GB | ~$98 | ARM Graviton2 |
| OCI | A1.Flex | 4 OCPU | 16 GB | Boot vol (separate) | per GB | ~$48 | ARM Ampere |
| Hetzner | CCX23 | 4 vCPU dedicated | 16 GB | 160 GB NVMe | 20 TB | ~$43 | x86 AMD EPYC |
| Hetzner (ARM) | CAX31 | 8 vCPU | 16 GB | 160 GB NVMe | 20 TB | ~$20 | ARM Ampere |
| Hetzner (x86 shared) | CPX32 | 4 vCPU | 8 GB | 160 GB NVMe | 20 TB | ~$15-18 | x86 AMD EPYC |
| OVHcloud | VPS-3 | 8 vCPU | 24 GB | 200 GB NVMe | unlimited | $19.97 | x86 |
| Vultr | VX1 GP | 4 vCPU | 16 GB | 240 GB NVMe | 6 TB | $111.69 | x86 Intel/AMD |
| Linode (Akamai) | Dedicated 4GB | 4 vCPU | 16 GB | 160 GB SSD | ~4 TB | ~$96 | x86 |
| DigitalOcean | Gen Purpose | 4 vCPU | 16 GB | 50 GB SSD | 5 TB | $126 | x86 |
The hidden costs: egress and add-on services
The instance price is just the beginning. In production, these costs can double or triple the bill:
| Item | AWS | OCI | Hetzner | OVHcloud | Vultr | Linode |
|---|---|---|---|---|---|---|
| Egress (1TB) | $90-180 | $8.50-50 | ✅ included | ✅ unlimited | ✅ 6 TB incl. | ✅ ~4 TB incl. |
| Extra NVMe storage | $0.08/GB | $0.0255/GB | included | included | $0.10/GB | $0.10/GB |
| Automated backups | varies | varies | +20% instance | ✅ included | manual | +$2-5/mo |
| Managed DB | ✅ RDS | ✅ MySQL/PostgreSQL | ❌ | ❌ | ✅ | ✅ |
| 24/7 Support | ✅ paid | ✅ paid | ⚠️ email only | ✅ email+phone | ⚠️ email+ticket | ✅ free phone |
Decision matrix: which provider for which use case
🏗️ Mission-critical production (SLA 99.99%+)
AWS multi-AZ or Linode/Akamai. Choose AWS if you need the full ecosystem (RDS, ELB, auto-scaling, CloudFront). Choose Linode if you value real 24/7 phone support and enterprise-grade SLAs backed by Akamai. Both will cost $90-150+/month for 4vCPU/16GB.
⚖️ Cost-SLA balance (99.9%, decent credits)
OCI A1.Flex or OVHcloud VPS. Both offer 99.9% with a credit ladder up to 100% of the monthly fee. OCI wins if you want ARM (Ampere) and are in the Oracle ecosystem. OVHcloud wins on raw price with unlimited included traffic. Range: $20-50/month.
💰 Maximum savings (99.9% real, symbolic credit)
Hetzner. No contest. It delivers 99.95% real uptime at a fraction of any competitor's cost. The trade-off is a symbolic SLA credit and email-only support. Not for workloads where 20 minutes of downtime means five-figure losses, but for 80% of projects it's more than enough. Range: $15-43/month for 4-8vCPU/16GB with 20 TB included traffic.
🆓 Dev / staging / personal projects
OCI Always Free (up to 4 OCPU + 24 GB ARM for free) or Hetzner's cheapest plan (~$4-5/month). Perfect for testing, development environments, or personal projects without production pressure.
Final thoughts
After years of optimizing cloud infrastructure, I've arrived at a simple conclusion: the right provider depends more on your risk profile than your budget.
If your application generates $100K/hour when it's down, pay for AWS multi-AZ or Linode and don't think twice. If you're launching an MVP or running niche sites with moderate traffic, Hetzner or OVHcloud give you 95% of the availability at 20% of the cost.
The worst thing you can do is pay premium prices for an SLA you don't need, or choose the cheapest option without understanding the risk profile. Maturity in cloud infrastructure isn't about spending less — it's about spending where it matters and saving where it doesn't.