Minikube Application Deployment Patterns: Production-Ready Manifests for Four Common Workloads

February 22, 2026

Kubernetes-Deployment, Manifest-Authoring, Workload-Selection

Deployment, Statefulset, Cronjob, Minikube, Manifests, Security-Context, Health-Checks

Choosing the Right Workload Type#

Every application fits one of four deployment patterns. Choosing the wrong one creates problems that are hard to fix later – a database deployed as a Deployment loses data on reschedule, a batch job deployed as a Deployment wastes resources running 24/7.

Pattern	Kubernetes Resource	Use When
Stateless web app	Deployment + Service + Ingress	HTTP APIs, frontends, microservices
Stateful app	StatefulSet + Headless Service + PVC	Databases, caches with persistence, message brokers
Background worker	Deployment (no Service)	Queue consumers, event processors, stream readers
Batch processing	CronJob	Scheduled reports, data cleanup, periodic syncs

Pattern 1: Stateless Web App#

A web API that can be scaled horizontally with no persistent state. Any pod can handle any request.

Choosing Kubernetes Workload Types: Deployment vs StatefulSet vs DaemonSet vs Job

February 22, 2026

Kubernetes

Intermediate

Workload-Selection, Architecture-Decisions, Capacity-Planning

Deployments, Statefulsets, Daemonsets, Jobs, Cronjobs, Workload-Types, Decision-Framework

Kubectl

Choosing Kubernetes Workload Types#

Kubernetes provides several workload controllers, each designed for a specific class of application behavior. Choosing the wrong one leads to data loss, unnecessary complexity, or workloads that fight the platform instead of leveraging it. This guide walks through the decision criteria and tradeoffs for each type.

The Workload Types at a Glance#

Workload Type	Lifecycle	Pod Identity	Scaling Model	Storage Model	Typical Use
Deployment	Long-running	Interchangeable	Horizontal replicas	Shared or none	Web servers, APIs, stateless microservices
StatefulSet	Long-running	Stable, ordered	Ordered horizontal	Per-pod persistent	Databases, message queues, distributed consensus
DaemonSet	Long-running	One per node	Tied to node count	Node-local	Log collectors, monitoring agents, network plugins
Job	Run to completion	Disposable	Parallel completions	Ephemeral	Batch processing, migrations, one-time tasks
CronJob	Scheduled	Disposable	Per-schedule run	Ephemeral	Periodic backups, cleanup, scheduled reports
ReplicaSet	Long-running	Interchangeable	Horizontal replicas	Shared or none	Almost never used directly

Decision Criteria#

The choice comes down to four questions: