Best Practices for Observability in Microservices
Standardise telemetry, alert on user impact, trace critical flows and control telemetry volume to get observability working at scale.
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Blog posts in the Performance category
Rightsizing Kubernetes Pods: Step-by-Step Guide
Measure 2-4 weeks of usage, set requests and limits from p90–p99, and test under live traffic to cut costs and avoid throttling or OOMs.
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Energy Efficiency in Hybrid vs. Public Clouds
Public cloud often uses less energy per workload; hybrid can be greener when latency, data residency or placement matter.
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AI in DevOps: Predictive Scaling Use Cases
Use forecast-led predictive scaling with reactive fallback to reduce latency and cloud spend for repeatable workloads.
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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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