High availability to keep critical services running.

We design clustering, redundancy and failover to reduce interruptions and control platform behavior during failures.

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Clustering · Redundancy · Failover · Testing
Clustering · Redundancy · Failover · Testing
High Availability

Reducing interruptions requires removing single points of failure.

Redundancy and clustering are designed around service, operating system, database, network and storage.

Clustering

High-availability topologies aligned to the platform.

  • Oracle RAC
  • Solaris Cluster
  • Linux Cluster
  • Oracle Linux Cluster

Ibm powerha

High availability for IBM Power and AIX.

  • Topology
  • Resources
  • Dependencies
  • Failover
Validation

High availability must be tested.

A configured cluster is not enough: behavior is validated during component loss and maintenance.

Failure testing

Controlled execution of failure scenarios.

  • Node
  • Network
  • Storage
  • Service

Operations

Documentation makes behavior known and repeatable.

  • Monitoring
  • Runbook
  • Escalation
  • Evidence
Failure Domains

High availability starts by defining what can fail without stopping the service.

Duplicating components is not enough. We review what the cluster protects, what remains a single point and how the service behaves during maintenance or failure.

Service

We define which process or resource must remain available.

  • Application
  • Database
  • IP / service
  • Filesystem

Host and os

The cluster must detect, isolate and recover correctly.

  • Node
  • OS
  • Heartbeat
  • Fencing

Network and storage

Shared paths must also be redundant and tested.

  • NIC / HBA
  • Switch / fabric
  • Multipath
  • Storage

Operations

The design must include maintenance, testing and procedures.

  • Switchover
  • Failover
  • Patching
  • Evidence
Next Step

Review what can fail, what must continue and how it recovers.

Architecture follows real dependencies and service criticality.

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