I set up off-site backups, high-availability PostgreSQL and MySQL, and move workloads to cheaper hosting. So a provider failure costs you a couple of hours — not your data, and not your business.
The audit is free, with no obligation. You get a fixed quote after it.
Production down right now? Message me on Telegram with where you're hosted and what's left. I'll give you an honest assessment and a recovery plan.
Urgent: TelegramData centers lose power, clouds get hacked, accounts get suspended. Companies that recover in hours have one thing in common — they planned for it. The ones that don't usually have one of these:
If your backups live with the same provider as your servers, they go down together. That's a copy, not a backup.
The backup exists, but it's incomplete, corrupted, or nobody knows how to bring it back. You find out at the worst possible moment.
No documentation, no code — moving takes weeks. So you stay put and keep paying more for the same cloud.
From a single VPS to production database clusters. Fixed scope, fixed price.
Where your data and backups live, what happens if your provider disappears, and how long recovery would take.
Backups to a second provider, plus a disaster recovery plan you've actually rehearsed.
PostgreSQL and MySQL clusters that survive a node failure without data loss.
Move workloads from expensive clouds to cost-effective providers — without losing reliability.
Automated build and deploy, containers, security checks built into the pipeline.
A senior engineer for a few hours a week — cheaper than a full-time hire.
Fill in the form or message me on Telegram: where you're hosted and what worries you.
I review your current setup and show you the risks.
Scope, timeline and a fixed price. Contract and NDA.
I do the work, prove it with a test restore, and hand over docs and access.
Most of my work is under NDA, so no client names here. Happy to go into detail on a call.
Goal: a database that survives any node failure with no data loss and no manual intervention.
Result: automatic failover, connection pooling, point-in-time recovery, query and replication monitoring.
Goal: remove single points of failure from busy databases and move analytics off production.
Result: load-balanced clusters plus a separate analytics cluster.
Goal: full visibility into a large, geographically distributed fleet.
Result: one monitoring system with alerting — problems are caught before users notice.
Goal: stop building servers by hand.
Result: the whole environment is defined in code and rebuilt automatically — which is exactly what makes moving providers fast.
Goal: automate build and deploy, add security checks.
Result: GitLab CI pipelines, containerised apps on Kubernetes, DevSecOps built into the workflow.
You work directly with me — no account managers, no juniors learning on your project. My day job is running production infrastructure that isn't allowed to go down.
It depends. Sometimes data survives at the provider, in caches, on developer machines or in old exports. Nobody can guarantee recovery in that case, but I'll give you an honest assessment quickly — and make sure it never happens again.
Yes. Small setups get simple solutions: automated off-site backups for files and databases, plus a short guide for bringing everything up elsewhere.
The audit is free. After it, you get a fixed price based on data volume, number of servers and recovery-time requirements. The price is agreed before any work starts.
Dedicated accounts with least privilege, SSH keys instead of passwords, and an NDA. When the work is done, access is handed back or revoked.
UTC+3. That's the same working day as Europe, the Middle East and Central Asia, and overlaps with US East Coast mornings.
Yes — monitoring, backup checks, updates. Response times are agreed in the contract.
Fill in a couple of fields and I'll reply by email within one business day. Or write to me directly: