Managed cloud servers, AWS, Google Cloud, and scalable hosting solutions.
Cloud hosting scales with your site. Instead of hitting a ceiling on a single server, cloud infrastructure distributes your workload across clustered resources. It's how you handle traffic spikes without pre-paying for capacity you don't normally use.
Our cloud articles cover managed solutions on AWS, Google Cloud, and our own platform: how to pick the right tier, what "managed" actually includes, and the real-world performance differences between cloud providers and traditional hosting setups.
Budget hosting at £2-3/month looks like a bargain until you count the hidden costs. Slow pages lose sales, security gaps mean cleanup bills and GDPR fines, downtime costs UK SMEs a median of £7,500/year, and DIY server management eats hours every month.
Hetzner just announced price hikes of up to 37% on cloud servers, effective April 2026. OVHcloud warns hardware costs will climb 15% to 35% this year. The cause: AI companies are hoovering up the world's DRAM supply, and every hosting provider is paying the price.
Most cloud comparisons list 47 services you won't use and leave you more confused than you started. This one gives you a five-question decision guide, real pricing from all three providers, and an honest take on when AWS, Google Cloud, or 365i's own managed cloud is the right fit.
Managed cloud servers start at £9.99/month and use the same My365i control panel as shared hosting. No command line, no complicated setup. Here's when dedicated resources, Redis caching, and ElasticSearch make the upgrade worth it, and when shared hosting is still the better choice.
A cleanup script with an empty API filter deleted 1,100 BYOIP prefixes from Cloudflare's global routing table on 20 February. It's the third time in four weeks that a major cloud provider has had automation destroy production infrastructure.
Amazon's AI coding assistant Kiro deleted a critical production server during a routine permissions change, triggering a 13-hour outage across AWS. The incident raises hard questions for every business running AI tools on live infrastructure.
How to self-host large language models on RunPod GPU cloud with Open WebUI as the frontend, all controlled from Windows. Setup, model strategy, cost management, and security for private AI infrastructure.
