data-engineering

MLOps in 2026 — The Canadian Shortlist

July 3, 2026 · 5 min read · Altaris AI Academy

The convergence

LLM ops and classical MLOps are merging. Teams that used to run separate stacks are consolidating on one.

The shortlist

  • Orchestration: Prefect or Dagster.
  • Experiment tracking: Weights and Biases or MLflow.
  • Feature store: often skipped in 2026; teams are moving logic into the warehouse.
  • LLM ops: Langfuse, Braintrust, or self-hosted OpenTelemetry.
  • Model registry: whatever integrates with your governance layer.

Canadian residency

Several of these vendors host in the US only. Check before you commit; retrofitting residency is painful.

What matters more than tools

A runbook every on-call can execute at 2am. Tools change; runbooks are how quality survives.