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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.
Lab Info
Table of Contents
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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.
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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.
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Challenge
Validate the integrity of the split states by performing plan operations and ensuring connectivity between partitioned components
- Run
terraform planandterraform applyin 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.
- Run
About the author
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