Meshery on TCS Labs Academy

1. Policy as Code with Meshery

Mon, 01 Jan 0001 00:00:00 +0000

Platform engineers operating at scale cannot rely on manual review to enforce infrastructure standards. Meshery addresses this by treating policy as code - encoding governance rules directly into the platform through relationships, OPA constraints, and environment-specific policy gates.

This course covers how Meshery’s relationship model acts as executable policy, how Open Policy Agent integrates with Meshery to express constraints as code, and how to validate designs - including those produced by a coding agent - before they reach a live cluster. You will also learn to promote designs through environments with graduated policy strictness, ensuring only conformant configurations reach production.

Certified AI-Native Infrastructure Associate (CAINA)

Mon, 01 Jan 0001 00:00:00 +0000

The Certified AI-Native Infrastructure Associate (CAINA) is the entry-level credential of the TCS Labs Academy. It validates that you can put LLMs and coding agents to work on real cloud native infrastructure - turning intent into a Meshery design, deploying it, and validating it - rather than just talking about AI in the abstract.

How you earn it 🔗

The credential has two required parts:

A written exam - 50 multiple-choice and scenario questions across the five domains above (75 minutes, proctored). Pass mark 70%.
A hands-on lab - generate a design with an LLM, deploy it with a coding agent and Meshery, and validate it. Delivered as the CAINA Capstone challenge.

How to prepare 🔗

Work through Learning Paths 1-3, then attempt the Ship It with an Agent challenge as a warm-up. The competency blueprint above shows where to focus your study time.

Orientation

Mon, 01 Jan 0001 00:00:00 +0000

2. Meshery Essentials

Mon, 01 Jan 0001 00:00:00 +0000

Meshery is the open-source cloud native manager that brings visibility, lifecycle control, configuration management, performance benchmarking, and policy governance into a single control plane. This course builds the working mental model you need before tackling any advanced topic in the academy.

You will install Meshery using mesheryctl, connect it to a live Kubernetes cluster, and explore the registry of models, components, and relationships that makes Meshery’s design validation possible. The course closes with a hands-on look at Kanvas, Meshery’s visual designer, which you will use throughout the rest of the curriculum.

Certified AI-Native Infrastructure Professional (CAINP)

Mon, 01 Jan 0001 00:00:00 +0000

The Certified AI-Native Infrastructure Professional (CAINP) is the TCS Labs Academy’s advanced credential. It validates that you can operate cloud native infrastructure with coding agents in production - observing, diagnosing, responding, performance-testing, and self-healing with Meshery - and that you can integrate agents safely with Meshery through the Model Context Protocol while governing the whole pipeline.

How you earn it 🔗

The credential has two required parts:

3. Infrastructure as Designs

Mon, 01 Jan 0001 00:00:00 +0000

A Meshery design is the unit of infrastructure intent. It is a YAML document that describes components - Kubernetes resources, service mesh configuration, policies - along with the relationships between them. Designs are declarative, portable, and version-controllable, which makes them the natural pairing for agent-generated infrastructure changes.

This course walks you through the full design lifecycle: authoring and importing a design, opening it in Kanvas for visual inspection, deploying it to a cluster, saving it to the Catalog so your team can reuse it, and backing it with a GitHub repository so that pull requests carry infrastructure previews alongside code changes.