Our Benchmark Open Source Repo (GitHub)

Transparent, reproducible performance testing is the cornerstone of trustworthy web infrastructure benchmarking. In the web hosting industry, published hosting reviews and performance comparisons frequently rely on opaque proprietary scoring metrics, hidden affiliate commission incentives, and un-reproducible testing environments. To establish a rigorous, peer-reviewed standard for hosting telemetry, HostBenchLab maintains a fully open-source benchmark repository on GitHub (`github.com/hostbenchlab/hosting-benchmark-suite`). This open framework enables system administrators, hosting engineers, and web developers to audit our testing methodologies, clone our automated benchmarking pipelines, and execute independent performance tests across any cloud or server environment.

Repository Architecture and Automated Testing Stack

Our open-source benchmark suite is engineered using containerized testing scripts, headless browser automation, and Infrastructure-as-Code (IaC) deployment templates.

Repository Core Components:

– `/terraform-templates`: Contains modular HashiCorp Terraform scripts to provision identical server instances across AWS, GCP, DigitalOcean, Vultr, Linode, and Hetzner.

– `/docker-workloads`: Contains standardized Docker containers representing real-world production application stacks (WordPress + WooCommerce, Node.js + PostgreSQL, Python FastAPI + Redis).

– `/k6-load-scripts`: Features Grafana k6 performance testing scripts engineered to execute dynamic user journeys (user registration, catalog browsing, cart checkout operations).

– `/puppeteer-crux`: Contains Puppeteer scripts that measure real-time browser rendering metrics (LCP, FCP, CLS, INP) across simulated desktop and mobile network throttling profiles.

Executing the Benchmark Suite: Step-by-Step Walkthrough

Engineers seeking to execute independent performance benchmarks on their own server infrastructure can run the HostBenchLab suite using three simple commands:

Step 1: Clone Repository and Install Dependencies.

“`bash

git clone https://github.com/hostbenchlab/hosting-benchmark-suite.git

cd hosting-benchmark-suite

pip install -r requirements.txt

“`

Step 2: Configure Infrastructure Parameters. Edit the `config.yaml` file to define target server IP addresses, SSH access keys, database credentials, and concurrency load limits (e.g., ramping from 1 to 200 virtual users over 10 minutes).

Step 3: Execute Automated Benchmark Execution. Run the main orchestration controller to deploy workloads, execute load tests, and export structured telemetry results:

“`bash

python3 run_benchmark.py –target=production-server-01 –output=json

“`

Output Artifacts and Telemetry Export Formats

Upon completion of a benchmark run, the framework generates comprehensive, human-readable and machine-parseable performance artifacts:

– `summary_report.json`: Contains granular latency metrics (p50, p90, p99 TTFB, HTTP error counts, total throughput RPS).

– `resource_utilization.csv`: Tracks server CPU core utilization, memory swapping, disk I/O wait times, and network interface packet counts sampled every 1 second during load testing.

– `waterfall_rendering.html`: Generates an interactive visual waterfall chart detailing resource loading sequences and Core Web Vitals rendering milestones.

Open Source Benchmark Repository Feature Comparison

Community Contributions and Continuous Telemetry Integration

The HostBenchLab repository operates under the MIT Open Source License, welcoming pull requests and community contributions from hosting engineers worldwide. Community members regularly contribute new Terraform provider modules, updated PHP runtime benchmark scripts, and improved edge caching test scenarios. By maintaining an open, community-driven testing standard, HostBenchLab eliminates affiliate bias and advances empirical transparency across the web hosting ecosystem.

Concluding Recommendation

To conduct objective, reproducible web hosting performance evaluations or verify vendor SLA claims on your own infrastructure, clone the HostBenchLab open-source benchmark repository on GitHub and execute automated k6 load testing workloads against your servers.

Designing Synthetic Load Testing Workloads with Grafana k6

To simulate realistic real-world user traffic patterns inside the open-source benchmark suite, our testing framework utilizes Grafana k6 JavaScript load testing scripts. Unlike simple HTTP pings that hammer a single static URL, k6 scripts simulate dynamic user sessions: opening the homepage, executing search queries, adding items to shopping carts, and submitting contact forms.

Sample Grafana k6 Load Test Script Configuration:

“`javascript

import http from ‘k6/http';

import { check, sleep } from ‘k6';

export const options = {

stages: [

{ duration: ‘2m', target: 50 }, // Ramp-up to 50 users over 2 mins

{ duration: ‘5m', target: 100 }, // Sustained load at 100 users for 5 mins

{ duration: ‘2m', target: 0 }, // Ramp-down to 0 users

],

thresholds: {

http_req_duration: [‘p(95)<500'], // 95% of requests must complete under 500ms

},

};

export default function () {

let res = http.get(‘https://target-server.com/product-catalog/');

check(res, { ‘status was 200': (r) => r.status === 200 });

sleep(1);

}

“`

Continuous Integration and GitHub Actions Automation

The HostBenchLab benchmark repository integrates seamlessly with GitHub Actions CI/CD workflows. Development teams can configure scheduled workflow runs (e.g., executing benchmark tests every Sunday at midnight) to track server performance changes over time. When a web host executes silent server migrations or changes PHP worker limits, GitHub Actions workflow alerts automatically flag performance regressions.

Community Peer Review and Security Audit Guidelines

By maintaining a public open-source code repository, HostBenchLab invites security researchers and hosting engineers to audit benchmark script logic. All pull requests submitted to the repository undergo strict security code reviews to ensure that load testing scripts adhere to ethical benchmarking standards and prevent accidental denial-of-service disruptions on production infrastructure.

Additionally, incorporating real user monitoring (RUM) telemetry scripts into the open-source repository allows development teams to correlate synthetic benchmark scores with real-world mobile browser performance metrics.

Benchmarking Database Query Concurrency and Lock Times

Database performance under concurrent load represents a critical testing vector in the open-source repository. When multiple virtual users execute database write queries simultaneously (such as processing WooCommerce order checkouts or updating user profile meta tables), database engines can experience row-level or table-level lock contention. The HostBenchLab benchmark suite measures database query lock duration, transaction rollback frequency, and slow query log execution counts, providing complete diagnostic visibility into backend database scalability under pressure.

Hardware Telemetry Sampling and CPU Core Profiling

During benchmark execution, internal server telemetry scripts sample hardware resource utilization at 1-second intervals. Tracking CPU user time, system kernel time, iowait percentage, and memory swapping frequency isolates hardware bottlenecks. If a web host exhibits high iowait percentages during load testing, it indicates underlying disk storage I/O throttling, helping developers identify server node overcrowding.

Finally, exporting benchmark telemetry into Grafana dashboards allows infrastructure managers to visually compare performance trends across multiple server hosting platforms and track SLA compliance over time.

The open-source benchmark suite provides the definitive empirical standard for evaluating modern web hosting infrastructure.

Running local load tests eliminates vendor marketing bias completely.

Our pick: HostBenchLab Open Source GitHub Benchmark Suite

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