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Milvus Vector Database Operations

Master Milvus vector database deployment, scaling, and operations — from single-node to billion-scale distributed clusters.

What you'll learn

Deploy Milvus in all modes: Lite, Standalone, Docker Compose, and Kubernetes
Configure etcd, MinIO, and Pulsar for production reliability
Master milvus.yaml with 500+ parameters — know what matters
Design collections and choose indexes for your workload
Scale horizontally and perform rolling upgrades
Optimize query performance and memory usage
Implement security with TLS and RBAC
Backup, restore, and cross-cluster migration
Monitor metrics and troubleshoot common issues

Course content

8 sections · 15 articles · 8h total

Course OverviewArticle
15m
Course RoadmapArticle
15m
Milvus Lite — Local DevelopmentArticle
20m
Standalone — Single ServerArticle
Code30m
Docker Compose SetupArticle
Code25m
Helm on KubernetesArticle
Code45m
etcd — Metadata StoreArticle
30m
MinIO/S3 — Object StorageArticle
25m
Pulsar/Kafka — Message QueueArticle
35m
Understanding milvus.yamlArticle
25m
Collection Design PatternsArticle
30m
Index Types & SelectionArticle
35m
Query PerformanceArticle
25m
Backup StrategiesArticle
30m
Common IssuesArticle
30m

Prerequisites

  • Basic Linux command line knowledge
  • Docker and Docker Compose fundamentals
  • Understanding of JSON and REST APIs
Docker Engine or Docker DesktopInstall or Podman

Container runtime required for all labs in this course.

Docker ComposeInstall or Podman Compose

Multi-container orchestration used in every hands-on exercise.