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Refactoring and Sharding a Monolithic State

In this hands-on lab, you will decompose a monolithic Terraform configuration into separate, independently manageable state shards. Starting with a single project that manages networking, compute, and security resources in one state file, you will analyze inter-resource dependencies, surgically migrate resources between state files using CLI commands, and validate the split with zero-drift plans. By the end, you will have a sharded architecture where networking and compute teams can deploy independently with reduced blast radius, reconnected through remote state data sources.

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Lab Info
Level
Advanced
Last updated
Apr 16, 2026
Duration
1h 0m

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Table of Contents
  1. Challenge

    Analyze monolithic configurations to identify logical boundaries and inter-resource dependencies suitable for state sharding
    • List and count all resources in the monolithic state.
    • Categorize each resource into networking or compute layers.
    • Trace dependencies to confirm a one-way boundary from compute to networking.
  2. Challenge

    Execute surgical resource migration between state files using CLI commands to achieve a sharded infrastructure architecture
    • Create the networking and compute shard configurations with matching resource addresses.
    • Move networking and compute resources into separate local state files using terraform state mv.
    • Push each shard to its own remote backend key and verify that the monolith state is empty.
  3. Challenge

    Validate the integrity of the split states by performing plan operations and ensuring connectivity between partitioned components
    • Run terraform plan and terraform apply in each shard to confirm zero drift and save outputs.
    • Demonstrate reduced blast radius by applying a networking tag change and confirming that the compute shard remains unaffected.
    • Verify cross-shard connectivity through the remote state data source.
    • Compare resource counts across both shards with the original monolith and confirm that EC2 instances are running in the correct networking infrastructure.
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