narbulut

Cloud Server

Smart Infrastructure that Grows and Shrinks with Traffic

Don't let your server crash when thousands of people suddenly visit your site. With Narbulut Auto Scaling, your system resources scale automatically.

FEATURES

Narbulut Cloud Server Auto Scaling

Don't let your server crash when thousands of people suddenly visit your site. With Narbulut Auto Scaling, your system resources automatically increase with visitor traffic and shrink during quiet times.

Predictable Performance

Your site continues to run at its original speed even during unexpected visitor surges.

Efficient Budget

Servers shut down when nighttime traffic decreases; you don't pay for resources you don't use.

Full Automation

Your technical team doesn't need to deal with spinning up servers at midnight — the system manages itself.

Dynamic Resource Management

Don't get stuck with static server plans. Let the system adjust its own size based on demand.

Balance of Cost and Performance

Keep customer satisfaction at the highest level while protecting your business budget.

Smart Monitoring and Reporting

Track your servers' scaling history, resource usage, and cost distribution from a single panel.

OTHER FEATURES

Discover other features of Cloud Server.

Explore all features of Cloud Server to manage and protect your data most efficiently. Discover now!

FREQUENTLY ASKED QUESTIONS

Do you have questions?

Do you have questions about Narbulut Cloud Server? Check out the frequently asked questions. Contact us for more information.

You choose a server template that you prepared in advance. The system creates new servers by copying them from this template.
opens so your software and settings are ready.

Yes. You can determine "how many servers will be opened at the same time" in Auto Scaling rules. Very aggressive rules
You can prepare the system against sudden explosions by defining

Auto Scaling is generally for web and application servers (Stateless). Managed for database scaling
We recommend using our database services or database clusters.

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