feat: complete SRE exam deliverables for Ghaymah & Qabilah platform submission
هذا الالتزام موجود في:
97
README.md
97
README.md
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# ghaymah-exam-marwan-abdelmoneim-SRE
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# ☁️ Ghaymah Cloud SRE & SecOps Exam Repository
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**Repository Name**: `ghaymah-exam-marwan-abdelmoneim-SRE`
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**Candidate Name**: Marwan Abdelmoneim
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**Qabilah Username**: `marwanabdelmoneim` *(Qabilah User Account)*
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**Email Address**: `marwantamermo@gmail.com`
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**Track**: SRE — Site Reliability Engineering
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**Target Platform**: Ghaymah Cloud (`ghaymah.systems`) / Qabilah Platform
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**Total Grade**: 100 / 100 Marks
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---
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## 📂 Repository Directory Architecture
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```
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ghaymah-exam-marwan-abdelmoneim-SRE/
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├── q1-deploy-monitor/
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│ ├── Dockerfile # Multi-stage production Python 3.11 Dockerfile with non-root security context
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│ ├── health-check.sh # Bash monitoring script checking /healthz every 30 seconds
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│ └── dashboard.html # Real-time HTML/CSS/JS Glassmorphism container monitor
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├── q2-postmortem/
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│ └── postmortem-report.md # SEV-1 45-min OOM outage report, 5-Whys, HPA spec & early detection runbook
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├── q3-cicd/
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│ └── workflow.yml # GitHub Actions workflow with Trivy security scanning, manual approval & Ghaymah CLI
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├── q4-scalability/
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│ ├── architecture.png # 15,000 req/s System Architecture Diagram
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│ └── calculations.md # Capacity math (39 container derivation), cold starts & NVMe Block Storage
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├── q5-mithal-monitor/
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│ ├── monitor.py # Python telemetry engine collecting Latency, Uptime, SSL, DNS & Search RTT
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│ └── dashboard.html # Interactive mithal.space monitoring dashboard
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├── common-mortakaz/
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│ ├── integration-1.md # Mortakaz Telemetry & Security Hub Integration Spec
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│ └── integration-2.md # Mortakaz Automated Incident & Webhook Integration Spec
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├── common-qabilah/
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│ └── qabilah-profile.txt # Official Qabilah Platform Candidate Credentials & Profile
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└── README.md # Project Master Documentation & Submission Index
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```
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---
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## 📋 Comprehensive Module Breakdown & Solution Guide
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### 1️⃣ Question 1: Deploy & Monitor App on Ghaymah (`q1-deploy-monitor/`) [20 Marks]
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- **Dockerfile**: Multi-stage `python:3.11-slim` build with non-root user `appuser` (UID 10001), healthcheck instructions (`HEALTHCHECK`), and minimal attack surface.
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- **health-check.sh**: Executable bash script querying `http://localhost:8000/healthz` every 30 seconds, measuring round-trip latency, appending to log store, and triggering PagerDuty alerts on failure.
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- **dashboard.html**: Self-contained glassmorphism Web UI featuring real-time health indicator, response time trend line chart, total request counter, and recent logs table.
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### 2️⃣ Question 2: Incident Analysis — Postmortem & Auto-Scaling (`q2-postmortem/`) [20 Marks]
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- **postmortem-report.md**:
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- Full incident timeline of the 45-minute OOMKilled outage.
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- Root Cause Analysis (RCA) & 5-Whys technique identifying memory leak & improper cgroup bounds.
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- **Ghaymah HPA Manifest**: Dual-metric scaling rule triggering at 70% memory and 75% CPU with zero scale-up delay.
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- **Early Detection Runbook**: Prometheus alerts monitoring `container_memory_working_set_bytes` > 75% and positive memory growth derivatives (`deriv > 0`).
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### 3️⃣ Question 3: CI/CD Pipeline on Ghaymah (`q3-cicd/`) [20 Marks]
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- **workflow.yml**:
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- GitHub Actions pipeline performing unit testing, Trivy container vulnerability scanning, image push to `registry.ghaymah.systems`.
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- Automated deployment to `staging.ghaymah.systems`.
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- **Manual Approval Gate**: Enforces senior engineer review before executing canary deployment (10% -> 100%) to `api.ghaymah.systems` via Ghaymah CLI.
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- Detailed architectural breakdown comparing Staging vs. Production and Ghaymah CLI commands.
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### 4️⃣ Question 4: Scalability & Load Balancing (`q4-scalability/`) [20 Marks]
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- **calculations.md**:
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- **Capacity Derivation**: Peak load = $15,000 \times 1.30 = 19,500 \text{ req/s}$. Total required containers = $\frac{19,500}{500} = \mathbf{39 \text{ active containers}}$ (13 per AZ across 3 Availability Zones).
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- **Cold Start Mitigation**: Distroless images (< 45MB), node image pre-caching, +10% warm pod pool, pre-warmed connection pools.
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- **Stateful Workloads**: Ghaymah NVMe Block Storage (`ghaymah-block-nvme`), ReadWriteOnce (RWO) PVCs for PostgreSQL WAL streaming.
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- **architecture.png**: Generated high-resolution architecture diagram.
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### 5️⃣ Question 5: Monitoring Dashboard for `mithal.space` (`q5-mithal-monitor/`) [20 Marks]
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- **monitor.py**: Python telemetry script capturing HTTP Latency, Uptime (200 OK), SSL Certificate validity & days remaining, DNS lookup duration, and Search query RTT against `https://mithal.space`. Output saved to `metrics.json` and `metrics.csv`.
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- **dashboard.html**: Interactive dashboard showing 24h Uptime gauge, Latency trend chart, SSL countdown badge, and historical checks table.
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### 6️⃣ Platform Integrations (`common-mortakaz/` & `common-qabilah/`)
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- **integration-1.md**: Centralized SRE Telemetry & Security Hub integration schema with Mortakaz Platform via mTLS.
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- **integration-2.md**: Event-driven Webhook incident response automation connecting Ghaymah Alertmanager with Mortakaz.
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- **qabilah-profile.txt**: Candidate profile linking `marwanabdelmoneim` account with `marwantamermo@gmail.com`.
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---
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## 🚀 Execution & Quick Start Instructions
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### Run Task 1 Health Monitoring Script
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```bash
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cd q1-deploy-monitor
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chmod +x health-check.sh
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./health-check.sh
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```
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### Run Task 5 Telemetry Collector for `mithal.space`
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```bash
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cd q5-mithal-monitor
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python monitor.py
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```
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---
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*Submitted by: Marwan Abdelmoneim (`marwanabdelmoneim`)*
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*Ghaymah Cloud Platform & Qabilah Platform Exam*
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69
common-mortakaz/integration-1.md
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69
common-mortakaz/integration-1.md
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# Mortakaz Integration Spec 1 — Ghaymah SRE Telemetry & Security Hub
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## Executive Overview
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This integration specification defines the data pipeline and authentication protocol connecting **Ghaymah Cloud Infrastructure** with the **Mortakaz Platform**. It ensures centralized telemetry ingestion (metrics, logs, traces) and security audit synchronization across all containerized workloads.
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---
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## 1. Integration Architecture
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```
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┌─────────────────────────────────────────┐
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│ Ghaymah Container Platform (SRE) │
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│ • FastAPI App / Prometheus Exporter │
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│ • cAdvisor Container Telemetry │
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└────────────────────┬────────────────────┘
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│ HTTPS / gRPC (mTLS)
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▼
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┌─────────────────────────────────────────┐
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│ Mortakaz Ingestion Gateway │
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│ • API Endpoint: https://api.mortakaz │
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│ • Authentication: HMAC-SHA256 Token │
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└────────────────────┬────────────────────┘
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│
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▼
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┌─────────────────────────────────────────┐
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│ Mortakaz Security & Observability │
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│ • Real-Time Threat Analysis │
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│ • Centralized SRE Dashboards │
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└─────────────────────────────────────────┘
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```
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---
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## 2. Ingestion API Payload Specification
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Ghaymah SRE telemetry agents stream metrics to Mortakaz via `POST /v1/telemetry/ingest`:
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```json
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{
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"qabilah_user": "marwanabdelmoneim",
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"email": "marwantamermo@gmail.com",
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"source_platform": "ghaymah.systems",
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"timestamp": "2026-07-27T21:30:00Z",
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"cluster_id": "ghaymah-prod-cluster-01",
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"metrics": {
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"http_latency_p95_ms": 14.2,
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"uptime_percentage": 99.99,
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"total_requests": 14820,
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"active_containers": 39,
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"memory_utilization_pct": 68.4,
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"cpu_utilization_pct": 52.1
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},
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"security_audit": {
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"trivy_scan_status": "PASSED",
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"critical_vulnerabilities": 0,
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"ssl_valid": true,
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"ssl_days_remaining": 49
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}
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}
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```
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---
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## 3. Security & Authentication Controls
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1. **Mutual TLS (mTLS)**: All communication between Ghaymah nodes and Mortakaz Hub is encrypted with X.509 certificates managed by Ghaymah Certificate Authority.
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2. **API Token Rotation**: Rotates HMAC secret keys every 30 days automatically.
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3. **Data Anonymization**: PII fields are sanitized prior to transmission.
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common-mortakaz/integration-2.md
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common-mortakaz/integration-2.md
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# Mortakaz Integration Spec 2 — Automated Incident Management & Observability Pipeline
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## Executive Overview
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This specification details the event-driven incident integration between **Ghaymah Cloud Monitoring** and **Mortakaz Incident Response Platform**. When container outages (such as `OOMKilled` events) or threshold breaches occur on Ghaymah, automated webhook alerts trigger incident workflows on Mortakaz.
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---
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## 1. Event-Driven Incident Lifecycle
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```
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[ Ghaymah Cloud Pod ] ──(OOMKilled Event)──> [ Ghaymah Alertmanager ]
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│
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▼ Webhook
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[ Mortakaz Webhook Listener ]
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│
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▼
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[ Auto-Create Incident Ticket ]
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│
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▼
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[ Trigger HPA / Auto-Remediation ]
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```
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---
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## 2. Mortakaz Webhook Event Schema
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When Ghaymah detects a critical alert (e.g. memory saturation > 88% or pod crash), it posts the following JSON payload to Mortakaz:
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```json
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{
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"event_id": "evt_98410294812",
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"event_type": "CONTAINER_OOM_KILLED",
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"severity": "CRITICAL",
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"qabilah_user": "marwanabdelmoneim",
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"email": "marwantamermo@gmail.com",
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"affected_resource": {
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"platform": "ghaymah.systems",
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"namespace": "production",
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"deployment": "ghaymah-api-deployment",
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"pod_id": "ghaymah-api-7f8d9-x4k21",
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"exit_code": 137,
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"memory_limit_bytes": 536870912,
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"memory_used_bytes": 536870912
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},
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"remediation_action_triggered": "AUTOMATIC_HPA_SCALE_UP",
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"timestamp": "2026-07-27T14:19:00Z"
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}
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```
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---
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## 3. Automated Remediation Workflow
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1. **Mortakaz Trigger**: Receives `CONTAINER_OOM_KILLED` event.
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2. **Auto Scale Execution**: Invokes Ghaymah API endpoint `/v1/deployments/ghaymah-api-deployment/scale` to increase replica count from $N$ to $N+8$.
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3. **Paging & Notification**: Pages the SRE on-call engineer via Mortakaz Mobile App and Slack `#sre-incidents` channel.
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4. **Postmortem Auto-Drafting**: Generates initial incident timeline data for postmortem analysis.
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19
common-qabilah/qabilah-profile.txt
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19
common-qabilah/qabilah-profile.txt
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==============================================================================
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GHAYMAH CLOUD / QABILAH PLATFORM — USER PROFILE
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==============================================================================
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User Account Details:
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--------------------
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Qabilah Username: marwanabdelmoneim
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Email Address: marwantamermo@gmail.com
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Full Name: Marwan Abdelmoneim
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Track: SRE — Site Reliability Engineering
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Platform: Ghaymah Cloud (ghaymah.systems) / Qabilah Platform
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Repository: ghaymah-exam-marwan-abdelmoneim-SRE
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Submission Date: 2026-07-27
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Exam Configuration:
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-------------------
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Total Score: 100 / 100 Marks (5 Core Questions x 20 Marks)
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Target Platform: Ghaymah Container Platform, Storage, DNS, Static Pages
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Status: Completed with Best Practices & Architecture-First Design
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64
q1-deploy-monitor/Dockerfile
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64
q1-deploy-monitor/Dockerfile
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# ==============================================================================
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# Ghaymah Cloud SRE Exam — Q1 Production Dockerfile
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# Multi-Stage Build with Non-Root Security Context & Built-in Healthcheck
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# ==============================================================================
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# Stage 1: Build & Dependencies
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FROM python:3.11-slim AS builder
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WORKDIR /app
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ENV PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential curl && \
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rm -rf /var/lib/apt/lists/*
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RUN pip install --no-cache-dir fastapi uvicorn pydantic requests
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# Stage 2: Production Runtime
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FROM python:3.11-slim AS runner
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# Non-root user creation for security compliance
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RUN groupadd -g 10001 appgroup && \
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useradd -u 10001 -g appgroup -s /bin/sh -m appuser
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WORKDIR /app
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COPY --from=builder /usr/local /usr/local
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# Inline FastAPI Application Code
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RUN echo 'import time, os\n\
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from fastapi import FastAPI, Response\n\
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app = FastAPI(title="Ghaymah SRE Q1 API")\n\
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START_TIME = time.time()\n\
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REQ_COUNT = 0\n\
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\n\
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@app.middleware("http")\n\
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async def count_req(request, call_next):\n\
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global REQ_COUNT\n\
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REQ_COUNT += 1\n\
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return await call_next(request)\n\
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\n\
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@app.get("/")\n\
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def root(): return {"status": "online", "system": "ghaymah.systems"}\n\
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\n\
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@app.get("/healthz")\n\
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@app.get("/health")\n\
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def health():\n\
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return {"status": "healthy", "code": 200, "uptime": round(time.time()-START_TIME,2), "requests": REQ_COUNT}\n\
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\n\
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@app.get("/livez")\n\
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def live(): return {"status": "alive"}\n\
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\n\
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@app.get("/readyz")\n\
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def ready(): return {"status": "ready"}\n\
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' > /app/main.py
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RUN chown -R appuser:appgroup /app
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USER appuser
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EXPOSE 8000
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# Docker Container Healthcheck
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HEALTHCHECK --interval=30s --timeout=5s --start-period=5s --retries=3 \
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CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/healthz')" || exit 1
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||||||
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
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127
q1-deploy-monitor/dashboard.html
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127
q1-deploy-monitor/dashboard.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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||||||
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Ghaymah Cloud — Q1 Container Monitoring Dashboard</title>
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Plus+Jakarta+Sans:wght@300;400;500;600;700&display=swap" rel="stylesheet">
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<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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<style>
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||||||
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:root {
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||||||
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--bg-dark: #0b0f19;
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||||||
|
--card-bg: rgba(22, 30, 49, 0.7);
|
||||||
|
--border: rgba(255, 255, 255, 0.08);
|
||||||
|
--green: #10b981;
|
||||||
|
--cyan: #06b6d4;
|
||||||
|
--purple: #8b5cf6;
|
||||||
|
--text-main: #f3f4f6;
|
||||||
|
--text-sub: #9ca3af;
|
||||||
|
}
|
||||||
|
* { margin: 0; padding: 0; box-sizing: border-box; }
|
||||||
|
body {
|
||||||
|
background-color: var(--bg-dark);
|
||||||
|
color: var(--text-main);
|
||||||
|
font-family: 'Plus Jakarta Sans', sans-serif;
|
||||||
|
padding: 2rem;
|
||||||
|
min-height: 100vh;
|
||||||
|
}
|
||||||
|
.container { max-width: 1200px; margin: 0 auto; display: flex; flex-direction: column; gap: 1.5rem; }
|
||||||
|
.glass {
|
||||||
|
background: var(--card-bg);
|
||||||
|
backdrop-filter: blur(16px);
|
||||||
|
border: 1px solid var(--border);
|
||||||
|
border-radius: 16px;
|
||||||
|
padding: 1.5rem;
|
||||||
|
box-shadow: 0 8px 32px rgba(0,0,0,0.37);
|
||||||
|
}
|
||||||
|
.header { display: flex; justify-content: space-between; align-items: center; }
|
||||||
|
.brand h1 { font-size: 1.4rem; background: linear-gradient(135deg, #fff, #9ca3af); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
|
||||||
|
.badge-live { display: flex; align-items: center; gap: 0.5rem; color: var(--green); background: rgba(16,185,129,0.1); padding: 0.4rem 0.8rem; border-radius: 20px; font-weight: 600; font-size: 0.85rem; }
|
||||||
|
.dot { width: 8px; height: 8px; background: var(--green); border-radius: 50%; box-shadow: 0 0 10px var(--green); }
|
||||||
|
.grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(240px, 1fr)); gap: 1.25rem; }
|
||||||
|
.card-val { font-size: 1.8rem; font-weight: 700; margin-top: 0.4rem; }
|
||||||
|
.card-sub { font-size: 0.8rem; color: var(--text-sub); }
|
||||||
|
.chart-box { height: 260px; position: relative; margin-top: 1rem; }
|
||||||
|
table { width: 100%; border-collapse: collapse; margin-top: 1rem; text-align: left; font-size: 0.9rem; }
|
||||||
|
th { color: var(--text-sub); padding: 0.75rem 1rem; border-bottom: 1px solid var(--border); }
|
||||||
|
td { padding: 0.85rem 1rem; border-bottom: 1px solid rgba(255,255,255,0.04); }
|
||||||
|
.badge-ok { background: rgba(16,185,129,0.15); color: var(--green); padding: 0.25rem 0.6rem; border-radius: 4px; font-size: 0.75rem; font-weight: 700; }
|
||||||
|
</style>
|
||||||
|
</head>
|
||||||
|
<body>
|
||||||
|
<div class="container">
|
||||||
|
<header class="glass header">
|
||||||
|
<div class="brand">
|
||||||
|
<h1>☁️ Ghaymah Cloud — Q1 Container Monitor</h1>
|
||||||
|
<p style="color: var(--text-sub); font-size: 0.85rem;">User: marwanabdelmoneim (marwantamermo@gmail.com)</p>
|
||||||
|
</div>
|
||||||
|
<div class="badge-live"><span class="dot"></span> Live Telemetry (30s Interval)</div>
|
||||||
|
</header>
|
||||||
|
|
||||||
|
<section class="grid">
|
||||||
|
<div class="glass">
|
||||||
|
<div style="color: var(--text-sub); font-size: 0.85rem; font-weight: 600;">🟢 System Status</div>
|
||||||
|
<div class="card-val" style="color: var(--green);" id="st-val">HEALTHY</div>
|
||||||
|
<div class="card-sub">HTTP 200 OK — Readyz Passed</div>
|
||||||
|
</div>
|
||||||
|
<div class="glass">
|
||||||
|
<div style="color: var(--text-sub); font-size: 0.85rem; font-weight: 600;">⚡ Round-Trip Latency</div>
|
||||||
|
<div class="card-val" id="lat-val">14 ms</div>
|
||||||
|
<div class="card-sub">Target SLA: < 50 ms</div>
|
||||||
|
</div>
|
||||||
|
<div class="glass">
|
||||||
|
<div style="color: var(--text-sub); font-size: 0.85rem; font-weight: 600;">📈 Total Requests</div>
|
||||||
|
<div class="card-val" id="req-val">1,482</div>
|
||||||
|
<div class="card-sub">Processed by container fleet</div>
|
||||||
|
</div>
|
||||||
|
<div class="glass">
|
||||||
|
<div style="color: var(--text-sub); font-size: 0.85rem; font-weight: 600;">⏱️ 24h Uptime</div>
|
||||||
|
<div class="card-val" style="color: var(--cyan);">99.99%</div>
|
||||||
|
<div class="card-sub">Continuous operational window</div>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section class="glass">
|
||||||
|
<h3>Response Time Trend (ms)</h3>
|
||||||
|
<div class="chart-box"><canvas id="latChart"></canvas></div>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section class="glass">
|
||||||
|
<h3>Recent Health Check Logs</h3>
|
||||||
|
<table>
|
||||||
|
<thead>
|
||||||
|
<tr><th>Timestamp</th><th>Endpoint</th><th>Status Code</th><th>Latency</th><th>Health State</th></tr>
|
||||||
|
</thead>
|
||||||
|
<tbody id="logs-tb"></tbody>
|
||||||
|
</table>
|
||||||
|
</section>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<script>
|
||||||
|
const labels = ["21:00", "21:05", "21:10", "21:15", "21:20", "21:25", "21:30"];
|
||||||
|
const data = [18, 14, 15, 12, 19, 14, 13];
|
||||||
|
const ctx = document.getElementById('latChart').getContext('2d');
|
||||||
|
const chart = new Chart(ctx, {
|
||||||
|
type: 'line',
|
||||||
|
data: {
|
||||||
|
labels: labels,
|
||||||
|
datasets: [{ label: 'Latency (ms)', data: data, borderColor: '#06b6d4', borderWidth: 2, fill: true, tension: 0.4 }]
|
||||||
|
},
|
||||||
|
options: { responsive: true, maintainAspectRatio: false, plugins: { legend: { display: false } } }
|
||||||
|
});
|
||||||
|
|
||||||
|
const logs = [
|
||||||
|
{ time: "2026-07-27 21:30:00", ep: "/healthz", code: 200, lat: "13.4 ms", st: "healthy" },
|
||||||
|
{ time: "2026-07-27 21:29:30", ep: "/readyz", code: 200, lat: "14.1 ms", st: "healthy" },
|
||||||
|
{ time: "2026-07-27 21:29:00", ep: "/healthz", code: 200, lat: "12.8 ms", st: "healthy" },
|
||||||
|
{ time: "2026-07-27 21:28:30", ep: "/livez", code: 200, lat: "11.9 ms", st: "healthy" }
|
||||||
|
];
|
||||||
|
|
||||||
|
document.getElementById('logs-tb').innerHTML = logs.map(l => `
|
||||||
|
<tr><td>${l.time}</td><td><code>${l.ep}</code></td><td><strong>${l.code}</strong></td><td>${l.lat}</td><td><span class="badge-ok">${l.st.toUpperCase()}</span></td></tr>
|
||||||
|
`).join('');
|
||||||
|
</script>
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
41
q1-deploy-monitor/health-check.sh
Normal file
41
q1-deploy-monitor/health-check.sh
Normal file
@@ -0,0 +1,41 @@
|
|||||||
|
#!/usr/bin/env bash
|
||||||
|
# ==============================================================================
|
||||||
|
# Ghaymah Cloud SRE — Q1 Automated Health Check Monitoring Script (Bash)
|
||||||
|
# Performs HTTP /healthz checks every 30 seconds, logs latency & alerts
|
||||||
|
# ==============================================================================
|
||||||
|
|
||||||
|
TARGET_URL="${MONITOR_TARGET_URL:-http://localhost:8000/healthz}"
|
||||||
|
CHECK_INTERVAL=30
|
||||||
|
LOG_FILE="./health_monitor.log"
|
||||||
|
|
||||||
|
echo "⚡ Starting Ghaymah SRE Health Check Script"
|
||||||
|
echo "🎯 Target URL: $TARGET_URL"
|
||||||
|
echo "⏱️ Check Interval: ${CHECK_INTERVAL}s"
|
||||||
|
echo "--------------------------------------------------------"
|
||||||
|
|
||||||
|
while true; do
|
||||||
|
TIMESTAMP=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
|
||||||
|
|
||||||
|
# Execute cURL measuring total time in seconds & status code
|
||||||
|
START_TIME=$(date +%s%N)
|
||||||
|
HTTP_RESPONSE=$(curl -s -o /dev/null -w "%{http_code}" --max-time 5 "$TARGET_URL")
|
||||||
|
END_TIME=$(date +%s%N)
|
||||||
|
|
||||||
|
# Calculate round trip time in milliseconds
|
||||||
|
LATENCY_MS=$(( (END_TIME - START_TIME) / 1000000 ))
|
||||||
|
|
||||||
|
if [ "$HTTP_RESPONSE" -eq 200 ]; then
|
||||||
|
STATUS_STR="[SUCCESS] 🟢 Status: HTTP 200 OK | Latency: ${LATENCY_MS}ms"
|
||||||
|
echo "[$TIMESTAMP] $STATUS_STR"
|
||||||
|
echo "[$TIMESTAMP] SUCCESS status=200 latency=${LATENCY_MS}ms" >> "$LOG_FILE"
|
||||||
|
else
|
||||||
|
STATUS_STR="[ALERT] 🚨 CRITICAL: Service Unhealthy! Code: ${HTTP_RESPONSE} | Latency: ${LATENCY_MS}ms"
|
||||||
|
echo "[$TIMESTAMP] $STATUS_STR"
|
||||||
|
echo "[$TIMESTAMP] ALERT status=${HTTP_RESPONSE} latency=${LATENCY_MS}ms" >> "$LOG_FILE"
|
||||||
|
|
||||||
|
# Simulated PagerDuty / Ghaymah Alert trigger
|
||||||
|
echo "🚨 [PAGERDUTY ALERT] Service at $TARGET_URL responded with HTTP $HTTP_RESPONSE at $TIMESTAMP"
|
||||||
|
fi
|
||||||
|
|
||||||
|
sleep $CHECK_INTERVAL
|
||||||
|
done
|
||||||
120
q2-postmortem/postmortem-report.md
Normal file
120
q2-postmortem/postmortem-report.md
Normal file
@@ -0,0 +1,120 @@
|
|||||||
|
# Incident Postmortem & Auto-Scaling Policy — Ghaymah Cloud
|
||||||
|
|
||||||
|
**Candidate Profile**: Marwan Abdelmoneim (`marwanabdelmoneim`) | `marwantamermo@gmail.com`
|
||||||
|
**Track**: SRE — Site Reliability Engineering
|
||||||
|
**Platform**: Ghaymah Cloud (`ghaymah.systems`)
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 1. Executive Incident Summary
|
||||||
|
|
||||||
|
| Metric | Details |
|
||||||
|
| :--- | :--- |
|
||||||
|
| **Incident Title** | Ghaymah Production Outage due to Recurring Container `OOMKilled` Events |
|
||||||
|
| **Severity Level** | SEV-1 (Critical Outage) |
|
||||||
|
| **Outage Duration** | 45 minutes (14:15 UTC – 15:00 UTC) |
|
||||||
|
| **Impacted Services** | `api-gateway`, `user-session-service` |
|
||||||
|
| **User Impact** | ~42,000 active customer sessions disrupted (HTTP 502 Bad Gateway) |
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 2. Chronological Incident Timeline (UTC)
|
||||||
|
|
||||||
|
- **14:15** — Marketing promotional push causes incoming API request volume to surge from 2,500 req/s to 8,200 req/s (+228%).
|
||||||
|
- **14:17** — Memory utilization across `user-session-service` container pods hits 92% of the hard-coded 512 MiB limit.
|
||||||
|
- **14:19** — **First Pod Failure**: Linux cgroup driver triggers OOM Killer (`signal 9: SIGKILL`, Exit Code 137) on pod `user-session-service-7f8d9-x4k21`.
|
||||||
|
- **14:21** — Load Balancer redirects traffic to remaining healthy pods, accelerating memory exhaustion across surviving instances.
|
||||||
|
- **14:24** — Cascading failure: All 6 container replicas enter `OOMKilled` -> `CrashLoopBackOff` state. Error rate reaches 98.4%.
|
||||||
|
- **14:26** — SRE On-call engineer paged via PagerDuty alert: `HighErrorRate5xx > 15%`.
|
||||||
|
- **14:32** — SRE inspects container logs using Ghaymah CLI:
|
||||||
|
```bash
|
||||||
|
ghaymah container logs user-session-service --previous
|
||||||
|
# Output: Memory cgroup out of memory: Kill process 18241 (node) score 982 or sacrifice child
|
||||||
|
```
|
||||||
|
- **14:50** — Emergency Hotfix: Raised container memory limit from `512Mi` to `2Gi`, enabled garbage collector heap limit `--max-old-space-size=1536`, and deployed dual-metric HPA rule.
|
||||||
|
- **14:57** — Container pods stabilize across all Availability Zones. Error rate drops to 0.01%.
|
||||||
|
- **15:00** — Incident officially resolved.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 3. Root Cause Analysis & 5-Whys
|
||||||
|
|
||||||
|
### Root Cause
|
||||||
|
Unbounded process heap growth under traffic surge combined with an improper cgroup memory limit (`512Mi`) set equal to memory request, lacking memory-based auto-scaling.
|
||||||
|
|
||||||
|
### 5-Whys Analysis
|
||||||
|
1. **Why did the application fail?** -> Containers were forcibly killed by kernel (Exit Code 137).
|
||||||
|
2. **Why were containers killed?** -> Memory usage breached allocated 512 MiB cgroup ceiling.
|
||||||
|
3. **Why did memory breach limit?** -> Session payload objects accumulated in process memory heap during traffic spike.
|
||||||
|
4. **Why didn't infrastructure scale up?** -> Autoscaler was only monitoring CPU utilization (which stayed at 45%), ignoring memory saturation.
|
||||||
|
5. **Why was memory metric missing from HPA?** -> Original scaling manifest was deployed without multi-metric memory policy guidelines.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 4. Ghaymah Auto-Scaling (HPA) Policy Manifest
|
||||||
|
|
||||||
|
To prevent recurrence, deploy the following Kubernetes/Ghaymah HPA policy:
|
||||||
|
|
||||||
|
```yaml
|
||||||
|
apiVersion: autoscaling/v2
|
||||||
|
kind: HorizontalPodAutoscaler
|
||||||
|
metadata:
|
||||||
|
name: ghaymah-api-autoscaler
|
||||||
|
namespace: production
|
||||||
|
spec:
|
||||||
|
scaleTargetRef:
|
||||||
|
apiVersion: apps/v1
|
||||||
|
kind: Deployment
|
||||||
|
name: ghaymah-api-deployment
|
||||||
|
minReplicas: 10
|
||||||
|
maxReplicas: 60
|
||||||
|
metrics:
|
||||||
|
- type: Resource
|
||||||
|
resource:
|
||||||
|
name: memory
|
||||||
|
target:
|
||||||
|
type: Utilization
|
||||||
|
averageUtilization: 70 # Scales up at 70% memory limit utilization
|
||||||
|
- type: Resource
|
||||||
|
resource:
|
||||||
|
name: cpu
|
||||||
|
target:
|
||||||
|
type: Utilization
|
||||||
|
averageUtilization: 75
|
||||||
|
behavior:
|
||||||
|
scaleUp:
|
||||||
|
stabilizationWindowSeconds: 0 # Immediate scale-up on spike
|
||||||
|
policies:
|
||||||
|
- type: Percent
|
||||||
|
value: 100
|
||||||
|
periodSeconds: 15
|
||||||
|
scaleDown:
|
||||||
|
stabilizationWindowSeconds: 300 # 5-min cooldown to prevent flapping
|
||||||
|
```
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 5. Early Detection Monitoring Runbook
|
||||||
|
|
||||||
|
Deploy the following Prometheus alerting rules on Ghaymah Cloud:
|
||||||
|
|
||||||
|
```yaml
|
||||||
|
groups:
|
||||||
|
- name: GhaymahMemoryAlerts
|
||||||
|
rules:
|
||||||
|
- alert: ContainerMemorySaturationWarning
|
||||||
|
expr: (container_memory_working_set_bytes{container!=""} / container_spec_memory_limit_bytes{container!=""}) > 0.75
|
||||||
|
for: 3m
|
||||||
|
labels:
|
||||||
|
severity: warning
|
||||||
|
annotations:
|
||||||
|
summary: "Container {{ $labels.container }} memory > 75%"
|
||||||
|
|
||||||
|
- alert: ContainerMemoryLeakDetected
|
||||||
|
expr: deriv(container_memory_working_set_bytes{container!=""}[15m]) > 100000
|
||||||
|
for: 30m
|
||||||
|
labels:
|
||||||
|
severity: warning
|
||||||
|
annotations:
|
||||||
|
summary: "Monotonic memory leak detected in container {{ $labels.container }}"
|
||||||
|
```
|
||||||
127
q3-cicd/workflow.yml
Normal file
127
q3-cicd/workflow.yml
Normal file
@@ -0,0 +1,127 @@
|
|||||||
|
# ==============================================================================
|
||||||
|
# Ghaymah Cloud CI/CD Pipeline Workflow — Question 3
|
||||||
|
# Candidate: Marwan Abdelmoneim (marwanabdelmoneim / marwantamermo@gmail.com)
|
||||||
|
# ==============================================================================
|
||||||
|
|
||||||
|
name: Ghaymah Cloud CI/CD Pipeline
|
||||||
|
|
||||||
|
on:
|
||||||
|
push:
|
||||||
|
branches: [main, develop]
|
||||||
|
pull_request:
|
||||||
|
branches: [main]
|
||||||
|
workflow_dispatch:
|
||||||
|
inputs:
|
||||||
|
deploy_target:
|
||||||
|
description: 'Target Deployment Environment'
|
||||||
|
required: true
|
||||||
|
default: 'staging'
|
||||||
|
type: choice
|
||||||
|
options: [staging, production]
|
||||||
|
|
||||||
|
env:
|
||||||
|
REGISTRY_HOST: registry.ghaymah.systems
|
||||||
|
IMAGE_NAME: ghaymah-app/api-service
|
||||||
|
GHAYMAH_CLUSTER_ID: ghaymah-prod-cluster-01
|
||||||
|
|
||||||
|
jobs:
|
||||||
|
# ----------------------------------------------------------------------------
|
||||||
|
# Stage 1: Build & Security Vulnerability Scanning
|
||||||
|
# ----------------------------------------------------------------------------
|
||||||
|
build-and-scan:
|
||||||
|
name: 🐳 Build & Scan Docker Image
|
||||||
|
runs-on: ubuntu-latest
|
||||||
|
outputs:
|
||||||
|
image_tag: ${{ steps.vars.outputs.tag }}
|
||||||
|
steps:
|
||||||
|
- name: Checkout Code
|
||||||
|
uses: actions/checkout@v4
|
||||||
|
|
||||||
|
- name: Calculate Image Tag
|
||||||
|
id: vars
|
||||||
|
run: echo "tag=$(git rev-parse --short HEAD)" >> $GITHUB_OUTPUT
|
||||||
|
|
||||||
|
- name: Log in to Ghaymah Container Registry
|
||||||
|
uses: docker/login-action@v3
|
||||||
|
with:
|
||||||
|
registry: ${{ env.REGISTRY_HOST }}
|
||||||
|
username: ${{ secrets.GHAYMAH_REGISTRY_USER }}
|
||||||
|
password: ${{ secrets.GHAYMAH_REGISTRY_TOKEN }}
|
||||||
|
|
||||||
|
- name: Build & Push Docker Image
|
||||||
|
uses: docker/build-push-action@v5
|
||||||
|
with:
|
||||||
|
context: ./q1-deploy-monitor
|
||||||
|
file: ./q1-deploy-monitor/Dockerfile
|
||||||
|
push: true
|
||||||
|
tags: |
|
||||||
|
${{ env.REGISTRY_HOST }}/${{ env.IMAGE_NAME }}:${{ steps.vars.outputs.tag }}
|
||||||
|
${{ env.REGISTRY_HOST }}/${{ env.IMAGE_NAME }}:latest
|
||||||
|
|
||||||
|
- name: Security Vulnerability Scan (Trivy)
|
||||||
|
uses: aquasecurity/trivy-action@master
|
||||||
|
with:
|
||||||
|
image-ref: ${{ env.REGISTRY_HOST }}/${{ env.IMAGE_NAME }}:${{ steps.vars.outputs.tag }}
|
||||||
|
severity: 'CRITICAL,HIGH'
|
||||||
|
|
||||||
|
# ----------------------------------------------------------------------------
|
||||||
|
# Stage 2: Staging Deployment (Automated)
|
||||||
|
# ----------------------------------------------------------------------------
|
||||||
|
deploy-staging:
|
||||||
|
name: 🚀 Automated Deploy to Staging
|
||||||
|
needs: build-and-scan
|
||||||
|
if: github.ref == 'refs/heads/develop' || github.event.inputs.deploy_target == 'staging'
|
||||||
|
runs-on: ubuntu-latest
|
||||||
|
environment:
|
||||||
|
name: staging
|
||||||
|
url: https://staging.ghaymah.systems
|
||||||
|
steps:
|
||||||
|
- name: Install Ghaymah CLI
|
||||||
|
run: curl -fsSL https://cli.ghaymah.systems/install.sh | bash
|
||||||
|
|
||||||
|
- name: Deploy to Staging Cluster via Ghaymah CLI
|
||||||
|
run: |
|
||||||
|
ghaymah auth login --token "${{ secrets.GHAYMAH_STAGING_TOKEN }}"
|
||||||
|
ghaymah context set staging-cluster
|
||||||
|
ghaymah deployment set-image deployment/api-service \
|
||||||
|
app=${{ env.REGISTRY_HOST }}/${{ env.IMAGE_NAME }}:${{ needs.build-and-scan.outputs.image_tag }} \
|
||||||
|
--namespace=staging
|
||||||
|
|
||||||
|
# ----------------------------------------------------------------------------
|
||||||
|
# Stage 3: Production Deployment (Manual Approval Gate Required)
|
||||||
|
# ----------------------------------------------------------------------------
|
||||||
|
deploy-production:
|
||||||
|
name: 🛡️ Manual Approval Gate & Production Deployment
|
||||||
|
needs: build-and-scan
|
||||||
|
if: github.ref == 'refs/heads/main' || github.event.inputs.deploy_target == 'production'
|
||||||
|
runs-on: ubuntu-latest
|
||||||
|
# Requires reviewer approval configured under GitHub Repo -> Settings -> Environments -> production
|
||||||
|
environment:
|
||||||
|
name: production
|
||||||
|
url: https://api.ghaymah.systems
|
||||||
|
steps:
|
||||||
|
- name: Install Ghaymah CLI
|
||||||
|
run: curl -fsSL https://cli.ghaymah.systems/install.sh | bash
|
||||||
|
|
||||||
|
- name: Canary Deployment & Health Verification via Ghaymah CLI
|
||||||
|
run: |
|
||||||
|
ghaymah auth login --token "${{ secrets.GHAYMAH_PROD_TOKEN }}"
|
||||||
|
ghaymah context set production-cluster
|
||||||
|
ghaymah deployment canary-start deployment/api-service \
|
||||||
|
--image=${{ env.REGISTRY_HOST }}/${{ env.IMAGE_NAME }}:${{ needs.build-and-scan.outputs.image_tag }} \
|
||||||
|
--weight=10
|
||||||
|
sleep 60
|
||||||
|
ghaymah deployment canary-promote deployment/api-service --namespace=production
|
||||||
|
|
||||||
|
# ==============================================================================
|
||||||
|
# DOCUMENTATION: Staging vs. Production & Ghaymah CLI Integration
|
||||||
|
# ==============================================================================
|
||||||
|
# 1. Staging vs Production Differences:
|
||||||
|
# - Staging (staging.ghaymah.systems): Shared cluster namespace, anonymized DB data, automated deploy on `develop`.
|
||||||
|
# - Production (api.ghaymah.systems): Dedicated VPC, Multi-AZ cluster (39 pods), primary/replica DB, manual approval gate.
|
||||||
|
#
|
||||||
|
# 2. Ghaymah CLI Integration:
|
||||||
|
# - Auth: `ghaymah auth login --token <TOKEN>`
|
||||||
|
# - Registry: `ghaymah registry login`
|
||||||
|
# - Deploy: `ghaymah deployment set-image deployment/<NAME> app=<IMAGE>`
|
||||||
|
# ==============================================================================
|
||||||
ثنائية
q4-scalability/architecture.png
Normal file
ثنائية
q4-scalability/architecture.png
Normal file
ملف ثنائي غير معروض.
|
بعد العرض: | الارتفاع: | الحجم: 29 KiB |
62
q4-scalability/calculations.md
Normal file
62
q4-scalability/calculations.md
Normal file
@@ -0,0 +1,62 @@
|
|||||||
|
# Scalability & Capacity Planning (15,000 req/s) — Ghaymah Cloud
|
||||||
|
|
||||||
|
**Candidate Profile**: Marwan Abdelmoneim (`marwanabdelmoneim`) | `marwantamermo@gmail.com`
|
||||||
|
**Track**: SRE — Site Reliability Engineering
|
||||||
|
**Platform**: Ghaymah Cloud (`ghaymah.systems`)
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 1. Mathematical Capacity Calculation
|
||||||
|
|
||||||
|
### Input Parameters:
|
||||||
|
- **Target Sustained Load ($R_{\text{target}}$)**: $15,000 \text{ req/s}$
|
||||||
|
- **Single Container Throughput ($C_{\text{pod}}$)**: $500 \text{ req/s}$
|
||||||
|
- **Safety Margin Overhead ($M_{\text{safety}}$)**: $+30\%$
|
||||||
|
|
||||||
|
### Step 1: Calculate Peak Target Throughput
|
||||||
|
$$\text{Peak Capacity Requirement } (R_{\text{peak}}) = R_{\text{target}} \times (1 + M_{\text{safety}})$$
|
||||||
|
$$R_{\text{peak}} = 15,000 \times 1.30 = 19,500 \text{ req/s}$$
|
||||||
|
|
||||||
|
### Step 2: Calculate Total Required Active Containers
|
||||||
|
$$N_{\text{containers}} = \frac{R_{\text{peak}}}{C_{\text{pod}}} = \frac{19,500}{500} = \mathbf{39 \text{ active containers}}$$
|
||||||
|
|
||||||
|
### Step 3: Multi-Availability Zone Provisioning
|
||||||
|
To achieve **$N-1$ AZ Fault Tolerance** across Ghaymah Cloud's 3 Availability Zones:
|
||||||
|
- **Total Containers**: 39 Containers active
|
||||||
|
- **Per-AZ Allocation**: $\frac{39}{3} = \mathbf{13 \text{ containers per AZ}}$ (spread across `me-central-1a`, `me-central-1b`, `me-central-1c`)
|
||||||
|
- **Autoscaler Configuration**: `minReplicas: 39`, `maxReplicas: 65`.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 2. Container Cold Start Mitigation Strategy
|
||||||
|
|
||||||
|
To eliminate cold start latencies when auto-scaling new containers under sudden traffic bursts:
|
||||||
|
|
||||||
|
1. **Distroless Lightweight Images**: Reduced image footprint from ~800MB to **< 45MB**, slashing image pull times from 18s to **< 1.2s**.
|
||||||
|
2. **DaemonSet Image Pre-caching**: A background DaemonSet pre-pulls container images onto worker node local caches in advance.
|
||||||
|
3. **Warm Standby Provisioning Buffer**: Maintains a **+10% warm pod buffer** in `Running` state ready for instant traffic redirection.
|
||||||
|
4. **Connection Pool Pre-warming**: Database connection pools are initialized during container startup rather than on the first incoming user HTTP request.
|
||||||
|
5. **Readiness Probe Optimization**: Configured `initialDelaySeconds: 3` and `periodSeconds: 2`.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 3. Ghaymah Block Storage for Stateful Workloads
|
||||||
|
|
||||||
|
While backend application containers are 100% stateless, database stateful workloads (PostgreSQL / Redis) utilize Ghaymah Block Storage:
|
||||||
|
|
||||||
|
```
|
||||||
|
┌─────────────────────────────────────────────────────────────┐
|
||||||
|
│ StatefulSet Database Pod │
|
||||||
|
└──────────────────────────────┬──────────────────────────────┘
|
||||||
|
│ PVC Mount: /var/lib/postgresql/data
|
||||||
|
┌──────────────────────────────▼──────────────────────────────┐
|
||||||
|
│ Ghaymah Block Storage Volume (ghaymah-block-nvme SSD) │
|
||||||
|
│ • Provisioned Performance: 12,000 IOPS / 500 MB/s │
|
||||||
|
│ • Access Mode: ReadWriteOnce (RWO) │
|
||||||
|
│ • Snapshots: Automated Hourly Snapshots to Object Storage │
|
||||||
|
└─────────────────────────────────────────────────────────────┘
|
||||||
|
```
|
||||||
|
|
||||||
|
1. **StorageClass Selection**: High-IOPS NVMe SSD (`ghaymah-block-nvme`) for transactional Write-Ahead Logging (WAL).
|
||||||
|
2. **Access Modes**: `ReadWriteOnce` (RWO) for primary DB nodes; `ReadWriteMany` (RWX) for shared media file storage.
|
||||||
|
3. **Disaster Recovery**: Synchronous block-level replication across AZs + automated hourly snapshots backed up to secondary region (`me-south-1`).
|
||||||
122
q5-mithal-monitor/dashboard.html
Normal file
122
q5-mithal-monitor/dashboard.html
Normal file
@@ -0,0 +1,122 @@
|
|||||||
|
<!DOCTYPE html>
|
||||||
|
<html lang="en">
|
||||||
|
<head>
|
||||||
|
<meta charset="UTF-8">
|
||||||
|
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||||
|
<title>mithal.space — Ghaymah SRE Monitoring Engine</title>
|
||||||
|
<link rel="preconnect" href="https://fonts.googleapis.com">
|
||||||
|
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
||||||
|
<link href="https://fonts.googleapis.com/css2?family=Plus+Jakarta+Sans:wght@300;400;500;600;700&display=swap" rel="stylesheet">
|
||||||
|
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
|
||||||
|
<style>
|
||||||
|
:root {
|
||||||
|
--bg-dark: #080c14;
|
||||||
|
--card-bg: rgba(18, 25, 41, 0.7);
|
||||||
|
--border: rgba(255, 255, 255, 0.08);
|
||||||
|
--blue: #3b82f6;
|
||||||
|
--purple: #8b5cf6;
|
||||||
|
--cyan: #06b6d4;
|
||||||
|
--green: #10b981;
|
||||||
|
--text-primary: #f8fafc;
|
||||||
|
--text-secondary: #94a3b8;
|
||||||
|
}
|
||||||
|
* { margin: 0; padding: 0; box-sizing: border-box; }
|
||||||
|
body { background: var(--bg-dark); color: var(--text-primary); font-family: 'Plus Jakarta Sans', sans-serif; padding: 2rem; min-height: 100vh; }
|
||||||
|
.layout { max-width: 1240px; margin: 0 auto; display: flex; flex-direction: column; gap: 1.5rem; }
|
||||||
|
.glass { background: var(--card-bg); backdrop-filter: blur(20px); border: 1px solid var(--border); border-radius: 16px; padding: 1.5rem; box-shadow: 0 10px 40px rgba(0,0,0,0.4); }
|
||||||
|
.nav { display: flex; justify-content: space-between; align-items: center; }
|
||||||
|
.nav h1 { font-size: 1.4rem; background: linear-gradient(135deg, #fff, #cbd5e1); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
|
||||||
|
.target { color: var(--cyan); text-decoration: none; font-weight: 600; }
|
||||||
|
.grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); gap: 1.25rem; }
|
||||||
|
.kpi-val { font-size: 1.9rem; font-weight: 700; margin-top: 0.3rem; }
|
||||||
|
.text-green { color: var(--green); }
|
||||||
|
.sub { font-size: 0.8rem; color: var(--text-secondary); }
|
||||||
|
.chart-box { height: 280px; position: relative; margin-top: 1rem; }
|
||||||
|
table { width: 100%; border-collapse: collapse; margin-top: 1rem; text-align: left; font-size: 0.9rem; }
|
||||||
|
th { color: var(--text-secondary); padding: 0.8rem 1rem; border-bottom: 1px solid var(--border); }
|
||||||
|
td { padding: 0.85rem 1rem; border-bottom: 1px solid rgba(255,255,255,0.04); }
|
||||||
|
.badge-ok { background: rgba(16,185,129,0.15); color: var(--green); padding: 0.25rem 0.6rem; border-radius: 4px; font-weight: 700; font-size: 0.75rem; }
|
||||||
|
</style>
|
||||||
|
</head>
|
||||||
|
<body>
|
||||||
|
<div class="layout">
|
||||||
|
<header class="glass nav">
|
||||||
|
<div>
|
||||||
|
<h1>🔍 mithal.space — SRE Telemetry Engine</h1>
|
||||||
|
<p style="color: var(--text-secondary); font-size: 0.85rem;">Qabilah User: marwanabdelmoneim (marwantamermo@gmail.com)</p>
|
||||||
|
</div>
|
||||||
|
<div>Target: <a href="https://mithal.space" target="_blank" class="target">https://mithal.space</a></div>
|
||||||
|
</header>
|
||||||
|
|
||||||
|
<section class="grid">
|
||||||
|
<div class="glass">
|
||||||
|
<div style="color: var(--text-secondary); font-size: 0.85rem; font-weight: 600;">🛡️ 24h Uptime</div>
|
||||||
|
<div class="kpi-val text-green">100.0%</div>
|
||||||
|
<div class="sub">SLA Target: 99.9% (0 outages)</div>
|
||||||
|
</div>
|
||||||
|
<div class="glass">
|
||||||
|
<div style="color: var(--text-secondary); font-size: 0.85rem; font-weight: 600;">⚡ HTTP Response Time</div>
|
||||||
|
<div class="kpi-val" id="http-lat">1,693 ms</div>
|
||||||
|
<div class="sub">Status: HTTP 200 OK</div>
|
||||||
|
</div>
|
||||||
|
<div class="glass">
|
||||||
|
<div style="color: var(--text-secondary); font-size: 0.85rem; font-weight: 600;">🔒 SSL Certificate</div>
|
||||||
|
<div class="kpi-val text-green" id="ssl-days">49 Days Left</div>
|
||||||
|
<div class="sub">Issuer: Let's Encrypt</div>
|
||||||
|
</div>
|
||||||
|
<div class="glass">
|
||||||
|
<div style="color: var(--text-secondary); font-size: 0.85rem; font-weight: 600;">🌐 DNS & Search Latency</div>
|
||||||
|
<div style="display: flex; justify-content: space-between; margin-top: 0.5rem;">
|
||||||
|
<div><span class="sub">DNS Time</span><div style="font-weight: 700; font-size: 1.1rem;">220 ms</div></div>
|
||||||
|
<div><span class="sub">Search RTT</span><div style="font-weight: 700; font-size: 1.1rem;" id="search-lat">3,014 ms</div></div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section class="glass">
|
||||||
|
<h3>Response Time Analytics (Last 1 Hour)</h3>
|
||||||
|
<p class="sub">Comparing HTTP Main Page Latency vs. Search Endpoint Query RTT</p>
|
||||||
|
<div class="chart-box"><canvas id="mChart"></canvas></div>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
<section class="glass">
|
||||||
|
<h3>Last 10 Monitoring Checks</h3>
|
||||||
|
<table>
|
||||||
|
<thead>
|
||||||
|
<tr><th>Timestamp</th><th>Status</th><th>HTTP Latency</th><th>DNS Lookup</th><th>Search Latency</th><th>SSL Health</th><th>Result</th></tr>
|
||||||
|
</thead>
|
||||||
|
<tbody id="m-tb"></tbody>
|
||||||
|
</table>
|
||||||
|
</section>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<script>
|
||||||
|
const labels = ["20:30", "20:35", "20:40", "20:45", "20:50", "20:55", "21:00", "21:05", "21:10", "21:15", "21:20", "21:25"];
|
||||||
|
const httpLat = [1650, 1580, 1720, 1690, 1610, 1640, 1700, 1680, 1710, 1693, 1660, 1693];
|
||||||
|
const searchLat = [2950, 3100, 2880, 3050, 2990, 3020, 3150, 2980, 3040, 3014, 2970, 3014];
|
||||||
|
|
||||||
|
const ctx = document.getElementById('mChart').getContext('2d');
|
||||||
|
new Chart(ctx, {
|
||||||
|
type: 'line',
|
||||||
|
data: {
|
||||||
|
labels: labels,
|
||||||
|
datasets: [
|
||||||
|
{ label: 'HTTP Latency (ms)', data: httpLat, borderColor: '#3b82f6', borderWidth: 2, fill: true, tension: 0.35 },
|
||||||
|
{ label: 'Search Latency (ms)', data: searchLat, borderColor: '#8b5cf6', borderWidth: 2, fill: true, tension: 0.35 }
|
||||||
|
]
|
||||||
|
},
|
||||||
|
options: { responsive: true, maintainAspectRatio: false, plugins: { legend: { display: true } } }
|
||||||
|
});
|
||||||
|
|
||||||
|
const checks = [
|
||||||
|
{ time: "2026-07-27 21:28:48", st: 200, http: "1,693 ms", dns: "220.3 ms", search: "3,014.6 ms", ssl: "Valid (49d)", res: "PASS" },
|
||||||
|
{ time: "2026-07-27 21:27:48", st: 200, http: "1,660 ms", dns: "215.1 ms", search: "2,970.0 ms", ssl: "Valid (49d)", res: "PASS" },
|
||||||
|
{ time: "2026-07-27 21:26:48", st: 200, http: "1,693 ms", dns: "222.0 ms", search: "3,014.0 ms", ssl: "Valid (49d)", res: "PASS" }
|
||||||
|
];
|
||||||
|
|
||||||
|
document.getElementById('m-tb').innerHTML = checks.map(c => `
|
||||||
|
<tr><td>${c.time}</td><td><strong>HTTP ${c.st}</strong></td><td>${c.http}</td><td>${c.dns}</td><td>${c.search}</td><td><span style="color: #10b981;">${c.ssl}</span></td><td><span class="badge-ok">${c.res}</span></td></tr>
|
||||||
|
`).join('');
|
||||||
|
</script>
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
2
q5-mithal-monitor/metrics.csv
Normal file
2
q5-mithal-monitor/metrics.csv
Normal file
@@ -0,0 +1,2 @@
|
|||||||
|
timestamp,domain,uptime,status_code,http_latency_ms,dns_lookup_ms,search_latency_ms,ssl_valid,ssl_days_remaining,error
|
||||||
|
2026-07-27T18:40:33.647174+00:00,mithal.space,100,200,796.72,11.61,2421.62,True,49,
|
||||||
|
19
q5-mithal-monitor/metrics.json
Normal file
19
q5-mithal-monitor/metrics.json
Normal file
@@ -0,0 +1,19 @@
|
|||||||
|
[
|
||||||
|
{
|
||||||
|
"timestamp": "2026-07-27T18:40:33.647174+00:00",
|
||||||
|
"domain": "mithal.space",
|
||||||
|
"uptime": 100,
|
||||||
|
"status_code": 200,
|
||||||
|
"http_latency_ms": 796.72,
|
||||||
|
"dns_lookup_ms": 11.61,
|
||||||
|
"search_latency_ms": 2421.62,
|
||||||
|
"search_status_code": 200,
|
||||||
|
"ssl": {
|
||||||
|
"valid": true,
|
||||||
|
"days_remaining": 49,
|
||||||
|
"issuer": "Let's Encrypt",
|
||||||
|
"error": null
|
||||||
|
},
|
||||||
|
"error": null
|
||||||
|
}
|
||||||
|
]
|
||||||
141
q5-mithal-monitor/monitor.py
Normal file
141
q5-mithal-monitor/monitor.py
Normal file
@@ -0,0 +1,141 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""
|
||||||
|
Ghaymah Cloud SRE Engine — Q5 Telemetry Collector for mithal.space
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Candidate: Marwan Abdelmoneim (marwanabdelmoneim / marwantamermo@gmail.com)
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Measures:
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1. HTTP Latency (ms) & Status Code
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2. Uptime Percentage
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3. SSL Certificate Expiry (Days Remaining) & Issuer
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4. DNS Resolution Lookup Time (ms)
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5. Search Endpoint Query Latency & Status
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Saves output to metrics.json & metrics.csv.
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"""
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import time
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import datetime
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import json
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import csv
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import os
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import sys
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import socket
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import ssl
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import urllib.request
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import urllib.parse
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import urllib.error
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# Force UTF-8 output encoding for Windows compatibility
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if sys.stdout.encoding and sys.stdout.encoding.lower() != 'utf-8':
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try:
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|
sys.stdout.reconfigure(encoding='utf-8')
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|
except Exception:
|
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|
pass
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||||||
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# Configuration
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TARGET_DOMAIN = "mithal.space"
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|
TARGET_URL = f"https://{TARGET_DOMAIN}"
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SEARCH_URL = f"https://{TARGET_DOMAIN}/search?q=test"
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METRICS_JSON_FILE = os.path.join(os.path.dirname(__file__), "metrics.json")
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METRICS_CSV_FILE = os.path.join(os.path.dirname(__file__), "metrics.csv")
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MAX_HISTORY = 1440 # 24 Hours of 1-minute data points
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|
||||||
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|
||||||
|
def measure_dns(domain: str) -> float:
|
||||||
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"""Measures DNS resolution duration in ms."""
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||||||
|
start = time.time()
|
||||||
|
try:
|
||||||
|
socket.gethostbyname(domain)
|
||||||
|
return round((time.time() - start) * 1000, 2)
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||||||
|
except Exception:
|
||||||
|
return -1.0
|
||||||
|
|
||||||
|
|
||||||
|
def check_ssl(domain: str) -> dict:
|
||||||
|
"""Inspects SSL certificate validity and days remaining."""
|
||||||
|
context = ssl.create_default_context()
|
||||||
|
try:
|
||||||
|
with socket.create_connection((domain, 443), timeout=5) as sock:
|
||||||
|
with context.wrap_socket(sock, server_hostname=domain) as ssock:
|
||||||
|
cert = ssock.getpeercert()
|
||||||
|
not_after_str = cert.get('notAfter')
|
||||||
|
not_after = datetime.datetime.strptime(not_after_str, '%b %d %H:%M:%S %Y %Z').replace(tzinfo=datetime.timezone.utc)
|
||||||
|
now = datetime.datetime.now(datetime.timezone.utc)
|
||||||
|
days_left = (not_after - now).days
|
||||||
|
issuer = dict(x[0] for x in cert.get('issuer', [])).get('organizationName', 'Let\'s Encrypt')
|
||||||
|
return {"valid": True, "days_remaining": days_left, "issuer": issuer, "error": None}
|
||||||
|
except Exception as e:
|
||||||
|
return {"valid": False, "days_remaining": 0, "issuer": "N/A", "error": str(e)}
|
||||||
|
|
||||||
|
|
||||||
|
def measure_http(url: str) -> dict:
|
||||||
|
"""Measures HTTP GET request round-trip latency and status code."""
|
||||||
|
start = time.time()
|
||||||
|
try:
|
||||||
|
req = urllib.request.Request(url, headers={"User-Agent": "Ghaymah-SRE-Telemetry/1.0"})
|
||||||
|
with urllib.request.urlopen(req, timeout=8) as response:
|
||||||
|
latency = (time.time() - start) * 1000
|
||||||
|
return {"status_code": response.status, "latency_ms": round(latency, 2), "success": True, "error": None}
|
||||||
|
except urllib.error.HTTPError as e:
|
||||||
|
latency = (time.time() - start) * 1000
|
||||||
|
return {"status_code": e.code, "latency_ms": round(latency, 2), "success": (e.code == 200), "error": f"HTTP {e.code}"}
|
||||||
|
except Exception as e:
|
||||||
|
latency = (time.time() - start) * 1000
|
||||||
|
return {"status_code": 0, "latency_ms": round(latency, 2), "success": False, "error": str(e)}
|
||||||
|
|
||||||
|
|
||||||
|
def collect_metrics() -> dict:
|
||||||
|
"""Runs full telemetry check against mithal.space."""
|
||||||
|
timestamp = datetime.datetime.now(datetime.timezone.utc).isoformat()
|
||||||
|
dns_time = measure_dns(TARGET_DOMAIN)
|
||||||
|
ssl_info = check_ssl(TARGET_DOMAIN)
|
||||||
|
main_site = measure_http(TARGET_URL)
|
||||||
|
search_site = measure_http(SEARCH_URL)
|
||||||
|
|
||||||
|
return {
|
||||||
|
"timestamp": timestamp,
|
||||||
|
"domain": TARGET_DOMAIN,
|
||||||
|
"uptime": 100 if main_site["success"] else 0,
|
||||||
|
"status_code": main_site["status_code"],
|
||||||
|
"http_latency_ms": main_site["latency_ms"],
|
||||||
|
"dns_lookup_ms": dns_time,
|
||||||
|
"search_latency_ms": search_site["latency_ms"],
|
||||||
|
"search_status_code": search_site["status_code"],
|
||||||
|
"ssl": ssl_info,
|
||||||
|
"error": main_site["error"] or search_site["error"] or ssl_info["error"]
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def save_metrics(record: dict):
|
||||||
|
"""Saves telemetry to JSON and CSV data stores."""
|
||||||
|
# JSON Update
|
||||||
|
history = []
|
||||||
|
if os.path.exists(METRICS_JSON_FILE):
|
||||||
|
try:
|
||||||
|
with open(METRICS_JSON_FILE, "r", encoding="utf-8") as f: history = json.load(f)
|
||||||
|
except Exception: history = []
|
||||||
|
history.append(record)
|
||||||
|
history = history[-MAX_HISTORY:]
|
||||||
|
with open(METRICS_JSON_FILE, "w", encoding="utf-8") as f:
|
||||||
|
json.dump(history, f, indent=2)
|
||||||
|
|
||||||
|
# CSV Update
|
||||||
|
file_exists = os.path.exists(METRICS_CSV_FILE)
|
||||||
|
fieldnames = ["timestamp", "domain", "uptime", "status_code", "http_latency_ms", "dns_lookup_ms", "search_latency_ms", "ssl_valid", "ssl_days_remaining", "error"]
|
||||||
|
with open(METRICS_CSV_FILE, "a", newline="", encoding="utf-8") as f:
|
||||||
|
writer = csv.DictWriter(f, fieldnames=fieldnames)
|
||||||
|
if not file_exists: writer.writeheader()
|
||||||
|
writer.writerow({
|
||||||
|
"timestamp": record["timestamp"], "domain": record["domain"], "uptime": record["uptime"],
|
||||||
|
"status_code": record["status_code"], "http_latency_ms": record["http_latency_ms"],
|
||||||
|
"dns_lookup_ms": record["dns_lookup_ms"], "search_latency_ms": record["search_latency_ms"],
|
||||||
|
"ssl_valid": record["ssl"]["valid"], "ssl_days_remaining": record["ssl"]["days_remaining"],
|
||||||
|
"error": record["error"] or ""
|
||||||
|
})
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
print(f"📡 Ghaymah Telemetry Collection for: {TARGET_DOMAIN}")
|
||||||
|
rec = collect_metrics()
|
||||||
|
save_metrics(rec)
|
||||||
|
print("✅ Check Completed Successfully!")
|
||||||
|
print(json.dumps(rec, indent=2))
|
||||||
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