Performance | Hokstad Consulting

Performance

Blog posts in the Performance category

Provisioned Concurrency For Cold Start Reduction

Cut serverless tail latency by pre-warming; size provisioned concurrency for p95/p99, test lighter runtimes and schedule to save cost.

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Right-Sizing Managed Search Services

Cut search costs and improve reliability: keep shard sizes 10–50 GB, match replicas to failure needs, tier old data and review sizing regularly.

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Hybrid Cloud Workload Placement: Cost vs Performance

Score workloads by cost, latency, data locality and compliance to place them on‑prem, private, public or edge, and review placement regularly.

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SLOs and SLIs for Cloud-Native Applications

Use user-focused SLIs, set SLO targets and manage error budgets to guide releases, scaling and cloud spend.

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How to Monitor AWS Lambda Performance

Prioritise p99 latency, errors, throttles, concurrency, memory and cost in CloudWatch; use X‑Ray for tracing and tune memory, timeout and concurrency.

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Service Mesh Overhead: Measuring Resource Costs

Measure service mesh CPU, memory and telemetry overhead, convert deltas to monthly £ and reduce costs by scope, proxy and telemetry tuning.

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Ultimate Guide to CDN Geolocation Strategies

Use minimal CDN geolocation: prioritise compliance and availability, limit cache variants, and measure routing accuracy.

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Enterprise CI/CD Scaling: Key Challenges

Pipelines — not tools — are the real limit: standardise templates, cut queue time, automate policy checks and shift ownership to scale enterprise CI/CD.

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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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