Disaster Recovery | Hokstad Consulting

Disaster Recovery

Blog posts in the Disaster Recovery category

Best Practices for CI/CD Tool Version Updates

Treat every CI/CD version bump as a risk: check compatibility, test in staging, rehearse rollback, and verify post-release.

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SSO for Hybrid Cloud: Best Practices

Map identity sources, match each app to SAML/OIDC/OAuth, centralise policies, phase rollouts and test failover for resilient hybrid SSO.

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4 Risk Mitigation Strategies for Release Planning

Score change risk, schedule by risk, use staged rollouts, rehearse rollback and monitor live metrics to keep releases safe.

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AWS, Azure, Google Cloud: High Availability Compared

Regional HA handles zone failures, but true resilience needs tested multi-region DR, clear RTO/RPO targets and costed runbooks.

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Edge Computing in Hybrid Cloud Recovery Plans

Place critical workloads at the edge, use cloud for off-site recovery, set RTO/RPO, automate failover and run regular DR tests.

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Compliance Controls for Hybrid Cloud Security

Hybrid cloud compliance holds when every control is defined, owned, logged and reviewed on a fixed cycle.

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Terraform for Private Cloud High Availability: Use Cases

Use Terraform to codify private-cloud HA and DR: repeatable modules, remote state, resilient pipelines and tested failover.

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Cost Benefits of Automating Hybrid Cloud Disaster Recovery

Automating hybrid cloud disaster recovery cuts downtime, hands-on recovery and infrastructure costs while improving RTO and RPO.

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AWS Multi-Region Deployment: Cost and Performance Tips

Pay only for the multi-region resilience and speed you need: limit replication, keep writes local, optimise routing and test failover.

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Hybrid Cloud Disaster Recovery Trends 2026

Hybrid cloud DR now prioritises identity and service recovery, uses DR-as-code, ransomware-safe clean rooms, frequent drills and cost-tiering.

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How to Automate Multi-Cluster Workload Failover

Set RTO/RPO, sync clusters with GitOps, auto-switch traffic for stateless apps, and promote data first for stateful failover.

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Data Sync vs. Replication: Key Differences

Compare data sync and replication: use two‑way sync for shared live records; use one‑way replication for uptime, failover and read scaling.

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