Logs, Metrics, Traces and SLOs

import java.util.*;

class Slo {
    // Nearest-rank percentile, p in (0, 100].
    static double percentile(List<Double> values, double p) {
        List<Double> sorted = new ArrayList<>(values);
        Collections.sort(sorted);
        int rank = (int) Math.ceil(p / 100.0 * sorted.size());
        return sorted.get(Math.max(rank, 1) - 1);
    }

    // Share of the error budget still unspent (negative means the SLO is broken).
    static double budgetRemaining(double slo, long total, long bad) {
        double allowed = (1 - slo) * total;
        return (allowed - bad) / allowed;
    }
}

import math

def percentile(values, p):
    """Nearest-rank percentile, p in (0, 100]."""
    ordered = sorted(values)
    rank = math.ceil(p / 100 * len(ordered))
    return ordered[max(rank, 1) - 1]

def budget_remaining(slo, total, bad):
    """Share of the error budget still unspent (negative means the SLO is broken)."""
    allowed = (1 - slo) * total
    return (allowed - bad) / allowed