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Infrastructure & Operations / Built / deployed

Production Observability & Alert Validation

Metrics, logs, probes and alerting validated by controlled failures instead of dashboard appearance alone.

STATUSBuilt / deployed
AREAInfrastructure & Operations
STACK6 documented technologies
INTEGRATIONS7 connected / bounded services
01

OVERVIEW

What I built.

Metrics, logs, probes and alerting validated by controlled failures instead of dashboard appearance alone.

02

Validated alerts by deliberately creating controlled failures and then checking the entire detection path.

03

Fixed rule/label issues where metrics existed but alerts did not actually evaluate as intended.

02

SYSTEM ARCHITECTURE

How the system is divided.

01
Architecture boundary

Exporters/probes -> Prometheus -> rule evaluation -> Alertmanager -> private alert delivery.

02
Architecture boundary

Grafana provides investigation views while Loki/Alloy/OpenObserve provide log context.

03
Architecture boundary

Internal process state and external reachability are treated as different signals.

03

NETWORK / DATA FLOW

What talks to what.

TRACE PATHFocus or tap a stage to trace the flow from source to that point.
04

TECHNOLOGY STACK

The technical surface.

01Prometheus
02Grafana
03Alertmanager
04Loki
05Alloy
06Blackbox
05

IMPLEMENTATION

How it works in practice.

  1. 01

    Exporters/probes -> Prometheus -> rule evaluation -> Alertmanager -> private alert delivery.

  2. 02

    Grafana provides investigation views while Loki/Alloy/OpenObserve provide log context.

  3. 03

    Internal process state and external reachability are treated as different signals.

06

TESTING & VALIDATION

How I know it works.

TEST 01

Controlled high-CPU and service-failure experiments

TEST 02

PromQL label-matching diagnosis

TEST 03

Alert firing after rule correction

TEST 04

Internal vs public blackbox probes

TEST 05

Monitoring-stack self-observation

TEST 06

Restore/backup and SIP-specific alert checks

07

EXTERNAL SERVICES & DEPENDENCIES

What sits outside the core.

COREProduction Observability & Alert Validation
08

ENGINEERING EVIDENCE

Artifacts behind the claims.

01NOTEMetrics
02NOTEAlert rules
03NOTEFiring/resolved notifications
04NOTEDashboards
05NOTECentral logs
06NOTEExternal probes
07TESTFailure-test history
09

BOUNDARIES / CONSTRAINTS

What the project does not pretend to solve.

—A green dashboard is not proof of user-visible health

—Metrics collection and alert evaluation are separate failure domains

—Monitoring itself consumes bounded resources

10

RESULT / CURRENT STATE

What this produced.

Monitoring that has been failure-tested rather than assumed correct because dashboards are green.

DEEP CASE STUDY AVAILABLE

Failure modes, investigation path and engineering evidence.

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