· DISASTER RECOVERY & HA
Resilience that’s planned, tested and measurable.
What we implement.
Practical resilience across infrastructure, Kubernetes, data and application layers.
Recovery targets (RPO/RTO) and failure scenarios
Define what “acceptable downtime” actually is
Identify failure modes (host, storage, network, app, human error)
Match design decisions to business impact
Backup design and verification
Backup strategy aligned to recovery objectives
Retention policies and off-site / immutable options
Restore testing so backups are proven, not assumed
High availability (HA) architecture
Redundancy for critical components and services
Load balancing and failover patterns
Remove single points of failure where it matters
Kubernetes resilience
Node redundancy, disruption budgets and rollout safety
Cluster backups and restore patterns
Storage strategy for stateful workloads (including NFS where appropriate)
Data and stateful service continuity
Database backup/restore patterns and verification
Replication options when required
Recovery plans for file shares and NFS-backed services
Documented recovery and escalation
Clear recovery steps and roles during incidents
Runbooks for common failure scenarios
Post-incident reviews and reliability improvements
How we roll it out.
A pragmatic approach: high-signal alerts first, then dashboards and refinement.
1
Assess
Identify critical services, current risk, and real recovery expectations.
2
Design
Define HA/DR patterns and backup strategy aligned to RPO/RTO.
3
Implement
Put resilience into place: backups, failover patterns, and restore processes.
4
Test
Restore drills and failure simulations so recovery is proven and repeatable.
DR/HA FAQs.
Common questions before teams upgrade their resilience and recovery posture.
Is “we have backups” enough?
No. Backups help, but DR requires tested restores, clear recovery steps, and defined recovery targets.
How often should restores be tested?
At minimum quarterly for critical services - and whenever major infrastructure or application changes occur.
Can you design DR for Kubernetes?
Yes. We handle cluster restore patterns, workload recovery, and storage strategy for stateful services.
Do you support hybrid DR (on-prem + cloud)?
Yes. Hybrid DR is common, and we design it to avoid brittle dependencies and surprise costs.
Will HA remove all outages?
No - but it significantly reduces downtime for predictable failures, and DR ensures recovery when larger incidents occur.
Want recovery that’s tested and predictable?
We’ll review your DR/HA posture and give you a clear plan to reduce downtime and improve resilience.