API Reference Guide
- API Reference Guide
Overview
The **API Reference Guide** for ServerRental.store details the powerful and flexible application programming interface (API) we offer to interact with our infrastructure. This API allows users to programmatically manage their Dedicated Servers, VPS Hosting solutions, and various other services, automating tasks such as server provisioning, monitoring, scaling, and billing. It’s designed for developers and system administrators who need to integrate server management into their existing workflows, build custom control panels, or automate complex operations. This guide provides comprehensive documentation, including detailed descriptions of endpoints, request parameters, response formats, and authentication methods. Understanding this API is crucial for maximizing the efficiency and scalability of your infrastructure deployment with us. The API supports RESTful principles, utilizing JSON for data exchange. This makes it compatible with a wide range of programming languages and tools. The goal of this guide is to empower you to fully leverage the capabilities of our platform through programmatic access. Our commitment to a robust and well-documented API demonstrates our dedication to providing a developer-friendly experience. This API is not just about controlling servers; it's about providing a foundation for innovation and automation. It’s built on principles of security, reliability and ease of use. It also integrates seamlessly with our Network Infrastructure for optimized performance.
Specifications
The API is structured around several key resources, each with its own set of endpoints. Authentication is handled via API keys, ensuring secure access to your account and resources. The following table outlines the core specifications of the **API Reference Guide** itself:
| Feature | Description | Data Type | Required |
|---|---|---|---|
| API Version | Current API version supported. | String (e.g., v1) | Yes |
| Authentication Type | Method used to authenticate requests. | String (API Key) | Yes |
| Request Format | Format for sending data to the API. | JSON | Yes |
| Response Format | Format for receiving data from the API. | JSON | Yes |
| Rate Limiting | Limits the number of requests per time period. | Integer (requests/minute) | Yes |
| Endpoint Base URL | The base URL for all API requests. | String (URL) | Yes |
| Error Handling | How errors are reported via the API. | JSON with error code and message | Yes |
Beyond the API itself, the underlying infrastructure on which these APIs operate has its own specifications. The following table details the typical specifications of a **server** used to host the API services themselves:
| Component | Specification | Details |
|---|---|---|
| CPU | Intel Xeon Gold 6248R | 24 Cores, 3.0 GHz Base Clock, 3.9 GHz Turbo Boost |
| Memory | 128GB DDR4 ECC REG | 3200 MHz, Registered ECC memory for enhanced reliability. See Memory Specifications for more details. |
| Storage | 2 x 1TB NVMe SSD (RAID 1) | High-speed NVMe storage for fast API response times. Utilizes RAID 1 for redundancy. See SSD Storage for more information. |
| Network | 10Gbps Dedicated Connection | Low-latency, high-bandwidth network connectivity. See Network Bandwidth for details. |
| Operating System | CentOS 8 (Hardened) | Secure and stable Linux distribution. |
| API Gateway | Nginx | Handles request routing and load balancing. See Load Balancing for more details. |
| Database | PostgreSQL 13 | Scalable and reliable database for storing API data. See Database Management for details. |
Finally, let's look at the specifications of the data centers supporting the API.
| Aspect | Specification | Details |
|---|---|---|
| Power Redundancy | N+1 Redundancy | Multiple power feeds and backup generators. |
| Cooling | Redundant Cooling Systems | High-efficiency cooling systems to maintain optimal server temperatures. |
| Security | Tier 4 Data Center | Advanced security measures, including biometric access control and 24/7 surveillance. See Data Center Security for further information. |
| Connectivity | Multiple Tier 1 Providers | Redundant connections to multiple internet backbone providers. |
| Uptime SLA | 99.99% | Guaranteed uptime for critical API services. |
| Geographic Location | Multiple Locations (US, EU, Asia) | Geographically diverse data centers for improved latency and redundancy. See Data Center Locations for options. |
Use Cases
The API Reference Guide unlocks a multitude of use cases for our clients. Here are a few examples:
- **Automated Server Provisioning:** Automatically deploy new **servers** based on predefined configurations. This eliminates manual intervention and significantly reduces deployment time.
- **Real-time Monitoring:** Retrieve server metrics (CPU usage, memory usage, network traffic) in real-time to proactively identify and address performance issues. Integrate with monitoring tools like Monitoring Tools Integration.
- **Scalability Management:** Dynamically scale server resources (CPU, memory, storage) up or down based on demand.
- **Billing and Account Management:** Programmatically manage billing information, subscriptions, and account details.
- **Custom Control Panel Development:** Build a custom control panel tailored to your specific needs, leveraging the API’s functionality.
- **Integration with DevOps Pipelines:** Integrate server management into your CI/CD pipelines for automated deployments and testing.
- **Disaster Recovery Automation:** Automate the failover process to a backup server in the event of an outage.
- **Automated Backups:** Schedule and manage **server** backups programmatically. See Backup and Recovery for related information.
Performance
The API is designed for high performance and scalability. We continuously monitor and optimize its performance to ensure a responsive and reliable experience. API response times are typically under 200ms for most requests, even during peak load. We utilize caching mechanisms to reduce database load and improve response times. The API is also designed to handle a high volume of concurrent requests. We employ load balancing and auto-scaling to distribute traffic across multiple API servers. Performance is regularly tested using tools like Apache JMeter and LoadView. The API’s performance is directly impacted by the underlying infrastructure, including the CPU, memory, and network connectivity of the API servers. Optimizing database queries and caching strategies are also crucial for maintaining high performance. Regular performance audits are conducted to identify and address potential bottlenecks. See Performance Optimization for techniques to improve your application’s performance when interacting with the API. We also offer dedicated API support for enterprise clients requiring guaranteed performance levels. The API supports various data compression algorithms (e.g., gzip) to reduce bandwidth usage and improve response times. We continuously monitor key performance indicators (KPIs) such as request latency, error rate, and throughput.
Pros and Cons
- Pros:**
- **Automation:** Automate repetitive tasks and streamline server management workflows.
- **Scalability:** Easily scale your infrastructure to meet changing demands.
- **Integration:** Integrate server management into your existing tools and systems.
- **Flexibility:** Customize your server environment to your specific needs.
- **Reliability:** Benefit from our robust and reliable infrastructure.
- **Developer-Friendly:** Well-documented API with clear examples and helpful resources.
- **Security:** Secure access via API keys and robust security measures. See API Security Best Practices.
- Cons:**
- **Learning Curve:** Requires some technical expertise to understand and use effectively.
- **Dependency:** Reliance on a third-party API for server management.
- **Potential for Errors:** Incorrect API usage can lead to unintended consequences.
- **Rate Limits:** Rate limiting can restrict the number of requests you can make in a given time period. See API Rate Limits for details.
- **Maintenance:** The API is subject to updates and changes, which may require adjustments to your code.
- **Debugging:** Debugging API interactions can be complex.
Conclusion
The **API Reference Guide** is a powerful tool for automating and managing your server infrastructure on ServerRental.store. By leveraging the API, you can streamline your workflows, improve efficiency, and scale your operations with ease. While there is a learning curve involved, the benefits of using the API far outweigh the challenges. We are committed to providing a well-documented and reliable API that empowers our clients to build innovative solutions. We encourage you to explore the API documentation and experiment with the various endpoints to discover how it can benefit your organization. Regularly check for updates and improvements to the API, as we are constantly working to enhance its functionality and performance. Remember to adhere to the API’s rate limits and security best practices to ensure a smooth and secure experience. For further assistance, please consult our API Support resources or contact our support team. Consider exploring our range of AMD Servers and Intel Servers to build your ideal infrastructure.
Dedicated servers and VPS rental High-Performance GPU Servers
Intel-Based Server Configurations
| Configuration | Specifications | Price |
|---|---|---|
| Core i7-6700K/7700 Server | 64 GB DDR4, NVMe SSD 2 x 512 GB | 40$ |
| Core i7-8700 Server | 64 GB DDR4, NVMe SSD 2x1 TB | 50$ |
| Core i9-9900K Server | 128 GB DDR4, NVMe SSD 2 x 1 TB | 65$ |
| Core i9-13900 Server (64GB) | 64 GB RAM, 2x2 TB NVMe SSD | 115$ |
| Core i9-13900 Server (128GB) | 128 GB RAM, 2x2 TB NVMe SSD | 145$ |
| Xeon Gold 5412U, (128GB) | 128 GB DDR5 RAM, 2x4 TB NVMe | 180$ |
| Xeon Gold 5412U, (256GB) | 256 GB DDR5 RAM, 2x2 TB NVMe | 180$ |
| Core i5-13500 Workstation | 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000 | 260$ |
AMD-Based Server Configurations
| Configuration | Specifications | Price |
|---|---|---|
| Ryzen 5 3600 Server | 64 GB RAM, 2x480 GB NVMe | 60$ |
| Ryzen 5 3700 Server | 64 GB RAM, 2x1 TB NVMe | 65$ |
| Ryzen 7 7700 Server | 64 GB DDR5 RAM, 2x1 TB NVMe | 80$ |
| Ryzen 7 8700GE Server | 64 GB RAM, 2x500 GB NVMe | 65$ |
| Ryzen 9 3900 Server | 128 GB RAM, 2x2 TB NVMe | 95$ |
| Ryzen 9 5950X Server | 128 GB RAM, 2x4 TB NVMe | 130$ |
| Ryzen 9 7950X Server | 128 GB DDR5 ECC, 2x2 TB NVMe | 140$ |
| EPYC 7502P Server (128GB/1TB) | 128 GB RAM, 1 TB NVMe | 135$ |
| EPYC 9454P Server | 256 GB DDR5 RAM, 2x2 TB NVMe | 270$ |
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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️