Database Management | Hokstad Consulting

Disaster Recovery in Hybrid Cloud Databases

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Practical guidance for hybrid cloud database DR: choose Pilot Light, Warm Standby or Active‑Active, set RTO/RPO, automate testing and meet UK GDPR.

Top Tools for Application Performance Monitoring

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Compare leading APM tools, features and pricing to pick the right observability stack with OpenTelemetry, distributed tracing, AI detection and database visibility.

Savings Plans vs Reserved Instances: Cost Impact

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Compare Savings Plans and Reserved Instances to see which reduces AWS compute costs—flexible spend-based discounts vs fixed-capacity reservations.

How Multi-Region Elasticity Impacts Data Consistency

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How multi‑region elasticity affects data consistency, replication choices, compliance (GDPR), cost trade-offs and monitoring for resilient cloud systems.

StatefulSet Monitoring in Kubernetes: Best Practices

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Guide to monitoring StatefulSets: replica metrics, storage/I/O checks, probes, observability stack and cost-saving practices for reliable stateful workloads.

AWS RDS Tuning: Best Practices

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Practical guidance to optimise AWS RDS: choose the right instance and storage, tune engine parameters, speed up queries, use RDS features and monitor key metrics.

Rollback vs Rollforward: Key Differences

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Choose rollback for fast recoveries or rollforward to protect data—decisions hinge on database changes, failure type and required recovery speed.

Scaling Stateful Apps: Persistent Storage Explained

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Guide to choosing and configuring persistent storage on Kubernetes - block, file, distributed and object tiers, performance trade-offs and cost controls.

Sharding in Cloud Environments: Best Practices

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Sharding is the practical way to scale databases: pick a high‑cardinality shard key, design for resharding, and combine routing, observability and regional compliance.

Hybrid Cloud Key Management for Databases

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Secure database encryption keys across on‑premises and cloud with HSM/KMS strategies, unified IAM, automated key rotation, centralised audit logging and IaC.

How CAP Theorem Impacts Cloud Storage Design

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Understanding the CAP theorem is vital for designing effective cloud storage systems, balancing consistency, availability, and partition tolerance.

Master-Slave vs Master-Master: Key Differences

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Explore the differences between master-slave and master-master database replication models to choose the right solution for your needs.