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Microservices
Deployment
Service Deployment Platform
Automate how services are packaged, placed, and run — let the platform handle the ops.
Intent & Description
Real-world Use Case
Team defines K8s Deployment with 3 replicas, resource limits, health probes. kubectl apply ships a new version. K8s rolling-updates instances, health checks each pod before killing the old ones. Zero-downtime deploy, zero manual steps.
Source
📌 TL;DR
Deployment platform = your service’s ops brain. Declare what you want, platform makes it happen. Kubernetes dominates here.
Advantages
- Standardized deployment across all services
- Built-in rolling deploys, rollback, and health-check-gated releases
- Auto-restart on crash — no manual intervention
- Consistent service discovery and load balancing
Disadvantages
- Kubernetes is famously complex to set up and operate correctly
- Platform becomes critical infra — must be HA and well-understood
- Resource right-sizing requires ongoing tuning
- Teams need platform knowledge (K8s YAML, Helm) on top of their service code