GigaOps WordPress Firewall on Ubuntu 24. Includes WAF rules, malware scanning, brute-force protection, and performance caching. Deploy a secure, optimized WordPress site on the latest Ubuntu LTS.
GigaOps WordPress Firewall delivers a production-hardened WordPress deployment on Ubuntu 24 with security and performance tooling built by Gigabits. Your site is protected from first boot.
Key Features:
Web Application Firewall: Rules blocking SQL injection, XSS, and malicious bot patterns.
Malware Scanning: Scheduled scans of core, themes, and plugins for injected code.
Brute-Force Protection: Login monitoring with progressive lockouts and IP auto-ban.
Performance Cache: Built-in page caching for faster load times without plugin overhead.
Security Hardening: File permissions, XML-RPC disabled, admin path protection on first boot.
One-Command Diagnostics: Run gigaops wp-report for site health and security status.
Ideal For: Developers and agencies deploying WordPress on Ubuntu 24 who need built-in security and performance optimization.
Highlights
Web application firewall for WordPress on Ubuntu 24.04 LTS. WAF rules block SQL injection, XSS, and bot attacks targeting your WordPress site on the latest Ubuntu.
Malware scanning detects injected code in themes and plugins. Brute-force protection with progressive lockouts. Built-in page caching optimizes WordPress performance without extra plugins.
WordPress on Ubuntu 24 deployed with file permissions locked, XML-RPC disabled, and firewall hardened. One-command diagnostics with gigaops wp-report for security and site health.
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Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
You pay by the hour based on the EC2 instance type you choose to run this software. Each dimension maps to a specific AWS instance size, so pricing scales with the compute, memory, storage, or accelerator capacity of that instance. Smaller instances like t3.nano or m1.small cost less per hour, while larger instances like m7i.48xlarge or the metal and GPU options cost more. There are no tiers or bundles to select. You simply match the instance to your workload needs, and hourly charges follow the instance you deploy.
Top-of-mind questions for buyers
What does one hour of billing cover for a chosen instance type?
One hour represents one running EC2 instance of that type. The software charge meters wall-clock hours the instance runs. Each instance type carries its own hourly rate tied to its compute, memory, storage, or accelerator capacity. You are billed only for the instance size you actually launch.
Am I charged the software fee when my instance is stopped?
The software fee meters running hours only. When you stop an instance, the hourly software charge stops accruing. Underlying AWS storage or other AWS resource fees may still apply while the instance is stopped, but those are separate from this software's hourly charge.
How do I change cost if my workload grows?
There are no tiers to upgrade. To change cost, you launch a different instance type that matches your workload. A larger instance carries a higher hourly rate; a smaller one carries a lower rate. The change takes effect when you deploy the new instance size.
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Vendor refund policy
No refunds, instance can be terminated at any time.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
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