Labs & Simulations

The Inference Sandbox

37 hands-on labs across four tiers. Configure meshes, build apps, simulate routing, design agents, architect production systems, deploy enterprise meshes, and master CI/CD, MLOps, observability, IaC, disaster recovery, IAM, data engineering, FinOps, and security operations.

Tier 02Developer
Lab 06

Build Your First Mesh-Native App

Build a simple mesh-native counter app.

5 tasks
Lab 07

Multi-Device Chat App

Build a distributed chat app.

5 tasks
Lab 08

Distributed Sensor App

Build a mesh-native sensor aggregator.

3 tasks
Lab 09

Multi-Node To-Do App

Build a mesh-native productivity app.

4 tasks
Lab 10

Build a Custom Routing Policy

Learn routing policy design.

3 tasks
Lab 11

Mesh-Native UI Builder

Build a UI schema for a multi-device app.

3 tasks
Lab 12

Storage Schema Integration

Persist app data across devices.

3 tasks
Lab 16

Design a Mesh-Native Agent

Declare a complete Mesh-Native Agent bundle with the five components, execution tags, and privacy tier.

4 tasks
Lab 17

Test Multi-Node Execution

Run an agent across a multi-node mesh and observe distributed state coordination.

4 tasks
Lab 18

Debug Routing Failures

Diagnose and fix routing failures using the five-step mesh debugging methodology.

4 tasks
Lab 19

Publish an Agent to the Marketplace

Complete the publisher onboarding flow and list an agent on MeshNativeExchange.

4 tasks
Lab 20

Monitor a Distributed Agent Workload

Monitor a distributed agent workload using MeshInfer runtime APIs.

4 tasks
Lab 27

Mesh Debugging Pipeline — Cascading Failure

Diagnose and fix a cascading routing failure using the five-step mesh debugging methodology.

5 tasks
Lab 28

Performance Engineering Workbench

Apply the USE method to benchmark and optimize mesh performance across three configurations.

4 tasks
Lab 29

Build a Mesh-Native CI/CD Pipeline

Create an automated build, test, and deploy pipeline for a mesh-native app with canary deployment and rollback automation.

5 tasks
Lab 30

Model Lifecycle & Drift Detection

Deploy, monitor, and detect drift in a distributed inference model with automated retraining triggers.

5 tasks