High Availability on IBM Cloud with OpenShift
Red Hat OpenShift on IBM Cloud (ROKS) is a managed Kubernetes (colloquially referred to as K8s) service that provides a highly resilient foundation for CP4BA deployments through built‑in infrastructure, orchestration, and storage capabilities.
Multi‑Zone Cluster Architecture
OpenShift clusters on IBM Cloud can span multiple availability zones within a single region. Control plane nodes and worker nodes are distributed across at least three zones, thus ensuring that the loss of an entire data center does not interrupt service. IBM recommends a minimum of six worker nodes evenly distributed across three zones for production environments, eliminating single points of failure at the infrastructure level.
Kubernetes Self‑Healing and Load Distribution
OpenShift inherits Kubernetes’ native self‑healing capabilities. CP4BA microservices are deployed with multiple replicas managed by ReplicaSets. If a pod or node fails, workloads are automatically restarted or rescheduled on healthy nodes. Anti‑affinity rules ensure replicas are spread across zones, while liveness and readiness probes detect and recover from unhealthy components without manual intervention.
Traffic is handled through regional load balancers configured for high availability for both ingress and the K8s API. In specific cases and under certain conditions, global load balancing can redirect users to another cluster in a different region, supporting cross‑region resilience.
Highly Available Storage
Stateful workloads such as FileNet’s content management depend heavily on durable storage. IBM Cloud offers multiple HA‑capable options:
- OpenShift Data Foundation (ODF) / IBM Storage Fusion: A software‑defined storage layer using Ceph to replicate data across nodes and zones. This protects against disk, node, or zone failures and supports synchronous replication for metro‑level high availability.
- IBM Cloud Object Storage (COS): Provides highly durable object storage with built‑in redundancy across facilities or regions. When used for CP4BA content binaries, COS adds inherent protection against local and regional storage failures.
A typical HA deployment uses a multi‑zone OpenShift cluster, replicated storage, and highly available databases (such as Db2 HADR or SQL Server Always On) for CP4BA metadata. With this design, the platform can tolerate pod, node, or zone failures without disrupting business operations.
Disaster Recovery on OpenShift
While HA addresses localized failures, disaster recovery protects against large‑scale outages such as a full regional failure. DR strategies on OpenShift typically involve multiple clusters and data replication.
Multi‑Cluster DR with ODF and RHACM
OpenShift Data Foundation supports regional DR, asynchronously replicating persistent volumes to a secondary cluster in another region. In the event of a disaster, workloads can be redeployed on the recovery cluster using current data. Red Hat Advanced Cluster Management (RHACM) is often used to orchestrate application placement, failover, and recovery, enabling low Recovery Time Objectives (RTOs) and near‑zero Recovery Point Objectives (RPOs).
Backup and Restore with OADP (aka Velero)
An alternative DR approach uses regular backups rather than a live secondary cluster. OpenShift API for Data Protection (OADP), based on Velero, captures Kubernetes resources, application definitions, and persistent volume snapshots to external storage such as IBM COS. In a disaster, a new cluster can be provisioned and restored from backups. While recovery takes longer (typically hours), this model is more cost‑effective when maintaining a standby cluster is not feasible.
Active/Passive Cluster Design
Many enterprises adopt an active‑passive DR topology. A secondary OpenShift cluster in another region is kept running at minimal capacity. Key data is continuously replicated, but CP4BA workloads remain scaled down until needed. During failover, applications are scaled up, databases are promoted, and traffic is redirected via DNS or load balancers. This approach balances cost, complexity, and recovery objectives, often achieving RTOs of a few hours with minimal data loss.
High Availability in CP4BA Content Services
On top of the resilient OpenShift platform, CP4BA Content Services (FileNet) provide application‑level HA through containerization and stateless service design.
Redundant Content Platform Engine Instances
The Content Platform Engine (CPE) runs as multiple stateless container instances behind a Kubernetes service. Each instance connects to shared databases and storage. If one instance fails, others continue processing requests seamlessly, mirroring traditional FileNet clustering but implemented through Kubernetes.
Scalable Supporting Services
Other CP4BA components, such as IBM Content Navigator, Content Management Interoperability Services (CMIS), GraphQL, and even Enterprise Records capabilities, are also deployed as scalable containerized services. Kubernetes health checks ensure failed instances are automatically restarted, maintaining continuous availability at the application tier.
Highly Available Persistent Data
CP4BA relies on external systems for persistence:
- Databases hosting metadata and configuration must be deployed in HA configurations.
- Content storage can use replicated OpenShift volumes (via ODF) or external object storage such as IBM COS, both of which provide redundancy and fault tolerance.
Proper storage class selection, HA‑enabled directory services (LDAP), and resilient external dependencies are essential to fully realize CP4BA’s HA capabilities.
Disaster Recovery for CP4BA Content
Effective DR for CP4BA content requires protecting both data and configuration.
Configuration Backup
CP4BA deployments are defined by Kubernetes custom resources and secrets. These artifacts should be regularly backed up so the environment can be recreated on a new cluster. OADP can capture these resources automatically as part of scheduled backup jobs.
Database and Content Protection
The core FileNet databases (including the Global Configuration Database and Object Store databases) should be continuously replicated using database‑native replication where possible. If replication is not available, frequent off‑site backups are required. Content binaries stored in object storage should use cross‑region replication or equivalent durability features.
Recovery Procedures
In an active‑passive design, recovery involves promoting standby databases, deploying CP4BA services on the DR cluster using saved configurations, and redirecting user traffic. Automating these steps through scripts or cluster management tools reduces recovery time and operational risk. Regular DR testing is essential to validate procedures and ensure readiness.
Conclusion
High availability and disaster recovery for IBM Cloud Pak for Business Automation are achieved through a layered resilience strategy. OpenShift on IBM Cloud delivers multi‑zone infrastructure, self‑healing orchestration, and resilient storage. CP4BA builds on this foundation with stateless, scalable content services and externalized HA data stores.
By combining platform‑level HA, application‑level redundancy, and well‑designed DR strategies, organizations can protect CP4BA content services against both localized failures and regional disasters—ensuring business continuity while balancing costs within a gradient of complexity and operational risk.
