Performance | Hokstad Consulting

Performance

Blog posts in the Performance category

Kubernetes Resource Limits: Predictability vs Performance

Explains Kubernetes requests vs limits, CPU vs memory sizing, QoS choices and rightsizing to balance cost and reliability.

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How To Measure DORA Metrics

Track Deployment Frequency, Lead Time, Change Failure Rate and Time to Restore Service using SCM, CI/CD and incident data with automated baselines.

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AI Monitoring Tools: Cost vs Performance

AI monitoring demands hybrid strategies to cut telemetry costs while improving detection speed and regulatory compliance.

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Ultimate Guide to Multi-Cloud Latency Management

Practical strategies to reduce latency across AWS, Azure and GCP: region choice, private links, monitoring, routing and caching.

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Graceful Degradation in Microservices: Key Patterns

Keep core microservice functions running during failures using circuit breakers, fallbacks, timeouts, bulkheads and async workflows.

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Checklist for API Gateway Performance Tuning

Practical checklist to reduce API gateway latency and costs: connection reuse, compression, caching, tuning, monitoring and scaling.

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Best Practices for Data Access Optimisation in DevOps

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

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Kubernetes Traffic Splitting for Canary Deployments

Kubernetes traffic splitting lowers deployment risk and cost by routing a small share to a canary, monitoring and enabling quick rollbacks.

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How AI Predicts Failures in DevOps Pipelines

AI predicts CI/CD failures by spotting signals in logs, tests and metrics — shifting teams from firefighting to prevention.

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Ultimate Guide to CDN Billing Insights

How CDN charges work and how to cut bills: bandwidth, request fees, cache misses, regional pricing, optimisation and monitoring.

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How to Automate Unit Tests in CI/CD

Run fast, isolated unit tests early in CI/CD, use JUnit XML reports, parallelise suites and monitor flaky tests for reliable pipelines.

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How to Manage Service Mesh Configurations

Manage service mesh configs using version control, preflight validation, staged rollouts, observability and fast rollback to avoid outages.

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