Performance | Hokstad Consulting

Performance

Blog posts in the Performance category

About IBM Cloud Global Load Balancers

DNS-based global load balancers prevent regional outages, reduce latency and unify multi-region services under one hostname.

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How AI Agents Trace Root Cause in DevOps

AI agents cut DevOps RCA time by linking clean telemetry, traces and change records to surface ranked root-cause hypotheses for human approval.

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Multi-Cloud Performance Bottlenecks and Fixes

Remove avoidable cross-cloud distance, scale on real signals, and unify observability to stop multi-cloud slowdowns.

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10 Cloud SLA Monitoring Tools For DevOps

Compare 10 cloud SLA monitoring tools by uptime checks, alerting, latency views and pricing to find the right fit for your DevOps team.

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End-to-End Tracing in Kubernetes: 6 Examples

Instrument Kubernetes with OpenTelemetry: six end-to-end tracing patterns, propagation rules, Collector options and common break points.

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AI Resource Allocation: Cost vs. Performance

Compare cost‑optimised, performance‑optimised, balanced and static AI allocation strategies to align latency SLOs, utilisation and spend.

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How Cache Expiry Reduces Cloud Costs

Match TTLs to content: long for versioned assets, short micro-caches for bursty APIs to reduce origin egress, compute and DB costs.

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Node Pool Autoscaling Policies: Cost vs Performance

Compare autoscaling strategies—conservative, headroom, spot, bin-packing and multi-pool—to balance cloud cost and p95 latency.

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Checklist for Load Balancer Configuration Best Practices

Practical checklist to configure resilient, secure load balancers: layer choice, backends, health checks, TLS, timeouts and failover.

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AWS Auto Scaling: Best Practices for Performance

Set proper min/max capacity, use baked AMIs, choose workload metrics, enable 1‑minute monitoring and tune warmup for steady Auto Scaling.

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Ultimate Guide to Database Scalability Testing

Test databases at 1×, 2× and 5× scale: set numeric SLAs, mirror production, run stepped/burst/endurance tests and fix bottlenecks.

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AWS vs Azure vs GCP: App Performance Compared

Small latency gaps hide bigger trade-offs; region choice, storage tier and autoscaling usually decide which cloud is best for UK apps.

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