Do I need Kubernetes for self-healing workloads?

Not necessarily.

“Kubernetes” is one way to get self-healing behavior, but it’s not the only way. The real question is: what kind of self-healing do you need?

If you mean basic restart/recovery

You do not need Kubernetes. Examples:

• A process manager like systemd, supervisord, or pm2
• Docker restart policies
• A cloud VM auto-restart / auto-replace setup
• A managed service like ECS, Nomad, or serverless platforms

These can restart crashed processes, replace unhealthy instances, and do simple health checks.

If you mean more advanced self-healing

Kubernetes helps a lot if you need:

• Automatic pod/container restarts
• Rescheduling workloads onto healthy nodes
• Health probes and rollout rollback
• Horizontal scaling and auto-replacement
• Declarative desired state across many services
• Multi-service orchestration with service discovery

You probably don’t need Kubernetes if:

• You only run a few services
• You’re fine with VM-level or container-level restarts
• You want simpler ops
• You don’t need orchestration across many nodes
• Your app is mostly stateless and easy to redeploy

Kubernetes may be worth it if:

• You run lots of services
• You need high availability across nodes
• You want automated failover and scheduling
• You have a platform/team that can support the complexity
• You need consistent deployment and scaling patterns

Bottom line

Kubernetes is a powerful self-healing platform, but it’s not required. For many workloads, simpler tools can provide enough resilience with much less complexity.

If you want, I can help you choose between Kubernetes vs simpler alternatives based on your app size, cloud provider, and uptime needs.