Database Management | Hokstad Consulting

AWS, Azure, Google Cloud: High Availability Compared

Disaster Recovery Cloud Optimization Database Management

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

Data Sync vs. Replication: Key Differences

Database Management Cloud Optimization Disaster Recovery

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

Reserved Instances vs Savings Plans: When to Use Each

Cloud Optimization Cost Management Database Management

Match commitment to workload: use Reserved Instances for stable, database-heavy systems and Savings Plans for shifting compute.

Automated Testing for Data Integrity in Migration

Database Management Automation Compliance Management

Layered automated validation ensures data completeness, accuracy and business parity during migration while reducing validation effort.

Best Practices for Data Access Optimisation in DevOps

DevOps Management Cloud Optimization Database Management Performance

Embed observability, optimise queries, caching and storage, and add CI/CD checks and AI monitoring to cut latency and cloud costs in DevOps.

Data Replication: Cost vs Performance

Database Management Cloud Optimization Cost Management

Compare replication strategies, storage tiers and network costs to balance performance with cloud expenses.

Data Access Patterns: Cost vs Performance

Database Management Cloud Optimization Cost Management

Choose data access patterns by workload — how row, column, key-value, time-series and graph choices drive cloud costs and performance.

Kubernetes Scaling Policies: Stateful vs Stateless

DevOps Management Cloud Optimization Database Management

Compare Kubernetes scaling for stateful and stateless apps: speed, resource use, fault tolerance and cost trade-offs.

Integrating Test Data in CI/CD Workflows

DevOps Management Automation Compliance Management Database Management

Automate test data in CI/CD to cut delays, ensure GDPR compliance, and use synthetic, masked or containerised datasets.

Scaling Stateful Workloads: Persistent Storage Guide

Database Management Cloud Optimization DevOps Management

How to use PVs, PVCs, StorageClasses and StatefulSets to scale stateful apps in Kubernetes while avoiding data loss, I/O bottlenecks and cost overruns.

Ultimate Guide to Scaling Stateful Applications

DevOps Management Cloud Optimization Database Management

Guide to scaling stateful apps on Kubernetes: sharding, replication, StatefulSets, persistent storage, monitoring and autoscaling best practices.

Managed vs Self-Hosted Databases: Pros and Cons

Database Management Cloud Optimization Cost Management

Compare managed and self-hosted databases: managed reduces maintenance and eases scaling; self-hosted gives full control and cost savings but needs expertise.