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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Blog posts in the Performance category
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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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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