Self-Healing

Introduction

Clusters managed by Syself Autopilot can recover automatically from failure, with no manual intervention. This self-healing behavior is core to how the platform ensures stability, uptime, and predictable operations.

A continuous feedback and remediation loop built into every cluster managed by Syself. Whether it's a crashed node, an unreachable control plane, or a failing pod, recovery is immediate, automated, and requires no human intervention.

What Self-Healing Means in Practice

When a node crashes, a pod gets stuck, or a control plane component becomes unresponsive, Syself Autopilot detects the failure and takes automated action to restore the system to a healthy state.

Syself Autopilot continuously detects and remediates:

  • Crashed nodes: replaced or rebooted based on the nature of the failure.
  • Unhealthy control plane components: restarted or migrated.
  • Misbehaving pods: rescheduled automatically on healthy nodes.
  • Configuration drift: declarative state is re-applied if resources disappear or diverge.

All this happens without engineers being paged or dashboards lighting up.

Local & Cluster-Lvel Failure Detection

Unlike generic Kubernetes setups that depend on external monitoring stacks and slow default checks, Syself runs a health daemon directly on each node. This system-level agent performs hundreds of lightweight diagnostic checks in real time, covering:

  • Hardware degradation (CPU, disk, memory)
  • Kubelet and container runtime health
  • Network latency, connectivity, and packet loss

At the cluster level, Syself validates node health from outside the node, enabling it to catch and act on silent network partitions or unreachable nodes instantly.

Kubernetes Native

Self-healing isn’t a magic script — it’s an inherent property of Kubernetes when configured and managed correctly. Syself Autopilot extends and reinforces this behavior through:

  • Declarative cluster state: What you declare is always reconciled — our platform ensures your infrastructure matches the desired state.
  • Automated reconciliation loops: Controllers constantly monitor the system and fix what’s out of place.
  • Health checks and remediation: Nodes and machines are continuously checked, and failures are acted upon using safe remediation strategies.