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Cover illustration for How queueing theory makes systems reliable

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How queueing theory makes systems reliable
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

Queueing theory for SREs: the M/M/1 model shows why 70% utilisation feels calm and 90% collapses under spikes, and why headroom is insurance, not waste.

Cover illustration for How to read SRE graphs without lying to yourself

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How to read SRE graphs without lying to yourself
Portrait of One2N, Team

One2N

Team

How to read SRE graphs honestly: averages that hide pain, sampling windows that erase spikes, log scales and heatmaps, plus a checklist for incidents.

Cover illustration for Error budget calculation: downtime minutes for every SLO

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Error budget calculation: downtime minutes for every SLO
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

Error budget calculation from your SLO: 99.9% over 30 days is 43 minutes of downtime, 99.95% is 21m 54s. Use burn rate to decide when to ship or pause.

Cover illustration for Percentiles in SRE: Why averages lie about latency

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Percentiles in SRE: Why averages lie about latency
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

Percentiles in SRE: 50 slow requests in 1,000 can leave average latency near 200 ms. How p50, p95 and p99 expose tail latency and which ones to monitor.

Cover illustration for Latency vs throughput: why high utilisation hurts reliability

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Latency vs throughput: why high utilisation hurts reliability
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

Latency vs throughput explained for engineers: how the two interact with utilisation, and why running at 90 percent capacity quietly wrecks your SLOs.

Cover illustration for SRE math every engineer should know: a practical guide

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SRE math every engineer should know: a practical guide
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

SRE math for on-call engineers: percentiles that averages hide, Little's Law, error budgets as downtime minutes, queueing theory and honest graph reading.

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