Structured Output from Small Local Models#

Small models (2-7B parameters) produce structured output that is 85-95% as accurate as cloud APIs for well-defined extraction and classification tasks. The key is constraining the output space so the model’s limited reasoning capacity is focused on filling fields rather than deciding what to generate.

This is where local models genuinely compete with — and sometimes match — models 30x their size.

JSON Mode#

Ollama’s JSON mode forces the model to produce valid JSON:

What Modules Are#

A Terraform module is a directory containing .tf files. Every Terraform configuration is already a module (the “root module”). When you call another module from your root module, that is a “child module.” Modules let you encapsulate a set of resources behind a clean interface of input variables and outputs.

Module Structure#

A well-organized module looks like this:

modules/vpc/
  main.tf           # resource definitions
  variables.tf      # input variables
  outputs.tf        # output values
  versions.tf       # required providers and terraform version
  README.md         # usage documentation

The module itself has no backend, no provider configuration, and no hardcoded values. Everything configurable comes in through variables. Everything downstream consumers need comes out through outputs.

When to Write a Custom Exporter#

The Prometheus ecosystem has exporters for most infrastructure components: node_exporter for Linux hosts, kube-state-metrics for Kubernetes objects, mysqld_exporter for MySQL, and hundreds more. You write a custom exporter when your application or service does not have a Prometheus endpoint, you need business metrics that no generic exporter can provide (revenue, signups, queue depth), or you need to adapt a non-Prometheus system that exposes metrics in a proprietary format.