Operational Diagnostics Reports
Alert Noise Report
Filter alert counts by duplicate removal and classify the resulting noise level.
Alert Noise Report
alert_noise.lua
local alert_count =
local duplicate_alerts = 2
local useful_alerts = alert_count - duplicate_alerts
local noise_label = "focused"
if useful_alerts <= 1 then
noise_label = "review"
elseif alert_count >= 9 then
noise_label = "noisy"
end
print("alerts=" .. alert_count .. " useful=" .. useful_alerts .. " label=" .. noise_label)
local alert_count =
local duplicate_alerts = 2
local useful_alerts = alert_count - duplicate_alerts
local noise_label = "focused"
if useful_alerts <= 1 then
noise_label = "review"
elseif alert_count >= 9 then
noise_label = "noisy"
end
print("alerts=" .. alert_count .. " useful=" .. useful_alerts .. " label=" .. noise_label)
local alert_count =
local duplicate_alerts = 2
local useful_alerts = alert_count - duplicate_alerts
local noise_label = "focused"
if useful_alerts <= 1 then
noise_label = "review"
elseif alert_count >= 9 then
noise_label = "noisy"
end
print("alerts=" .. alert_count .. " useful=" .. useful_alerts .. " label=" .. noise_label)
alert noise
Alert noise classification separates useful signals from duplicates before escalation.