Learn SRE by Doing: An AI-Mentored Lab for Production-Ready Systems

Research context and background

Blast Radius Lab is a hands-on learning platform designed to teach Site Reliability Engineering skills through real-world practice. Unlike traditional courses that rely on videos or toy examples, this platform puts users in a live environment where they build actual infrastructure on AWS. An AI mentor acts as a senior engineer, guiding users through challenges without giving away answers. The goal is to help learners develop the instincts needed to handle real production incidents.

Benefits

The platform offers several key advantages for aspiring engineers. First, it uses real infrastructure, meaning users work with actual AWS accounts, Terraform, and ECS services that persist over time. Second, the AI mentor provides active guidance by challenging decisions and refusing shortcuts, which builds stronger problem-solving skills. Third, the platform includes a full observability stack with tools like Prometheus, Grafana, and Loki, allowing users to monitor and debug systems using real data. Finally, the curriculum forces users to face controlled chaos, such as latency spikes and resource exhaustion, preparing them for high-pressure situations.

Use Cases

Blast Radius Lab is ideal for developers and engineers who want to master Site Reliability Engineering without getting stuck in tutorial hell. The platform guides users through six sequential phases that build a complete trading platform. Phase A focuses on containerizing applications securely. Phase B teaches how to build robust CI pipelines for automated testing. Phase C covers setting up observability tools to track system health. Phase D introduces Service Level Indicators and Objectives to define reliability goals. Phase E simulates real incidents to test response instincts. Phase F deploys the entire system to AWS using Terraform and ECS. This structured approach ensures users gain practical experience with modern cloud tools and practices.

Pricing

The platform uses a pay-once model with no recurring subscription fees. There are four access tiers available. The Intern tier is free and grants access to Phase A, including five hands-on tasks and AI mentor support. The Associate tier costs $25 and unlocks Phases B through D, covering CI pipelines, observability, and reliability goals. The Senior tier also costs $25 and provides access to Phases E and F, which include chaos engineering and AWS deployment. Users can also choose the All-Access tier for $75, which grants immediate entry to all six phases of the program.

Vibes

While specific user reviews are not included in the provided information, the platform is designed to be rigorous and effective. The approach of using an AI mentor that pushes back on bad answers suggests a challenging but supportive learning environment. The emphasis on building a single, cohesive production system rather than isolated exercises indicates a focus on practical, transferable skills. The pay-once model also appeals to learners who want to avoid ongoing costs while gaining comprehensive training.

Additional Information

The platform is structured around a curriculum developed to mimic the journey from a local development setup to a production-ready system on AWS. It integrates over a dozen tools and technologies commonly used in the industry, including Docker, GitHub Actions, OpenTelemetry, and Route 53. By the end of the program, users have constructed a fully functional trading platform and gained the confidence and skills of a senior Site Reliability Engineer through direct experience rather than passive learning.