2026 MLOps Roadmap: From Agents to Distributed Systems
kmeanskaran · x · 2026-08-24
Karan outlines a 3-phase MLOps roadmap for 2026 covering both agentic and classic ML workflows.
Phase 1 (Basics): Lifecycle, microservices, monitoring, inference engineering, vLLM, FastAPI, Docker, Redis, and agent evaluation.
Phase 2 (CI/CD & Cloud): GitHub Actions, Prometheus/Grafana, AWS IAM, Terraform, ECS deployments, and Celery queues.
Phase 3 (High Availability): Kubernetes, Kubeflow, Airflow/Prefect, Kafka, and distributed systems.
Key takeaway: Multiple technologies don't guarantee a good app; keep it simple and prefer minimal setups.
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