NOC Analyst | Observability Engineer | SRE Enthusiast
📍 Nairobi County, Kenya

Welcome to my GitHub! I'm a Network Operations Center (NOC) Analyst with 5+ years in financial services, specializing in observability, monitoring, and reliability engineering. I transform complex system data into actionable insights using modern monitoring stacks, automation, and SRE principles to ensure high-availability infrastructure.

• System Observability: Building comprehensive monitoring solutions with ELK, Zabbix, and Grafana
• Site Reliability Engineering: Implementing SLOs, error budgets, and automation for infrastructure resilience
• Security Operations: Integrating security monitoring into observability pipelines
• Infrastructure as Code: Automating deployment and monitoring with Python and Bash scripting

Observability & Monitoring

Data Analytics & ML

Infrastructure & Automation

Network & Security

▶ Python-based dead code detector for identifying unused and orphaned files in repositories
▶ Multi-language support including Python, JavaScript, Java, C++, Go, and 20+ file types
▶ Smart categorization of unreferenced, orphaned, and suspicious files with heuristic analysis
▶ CI/CD integration with JSON output and configurable rules for automated code maintenance
▶ Production-ready tool with comprehensive documentation and example configurations

▶ Production-grade Streamlit application for comprehensive uptime monitoring and SLA management
▶ Advanced analytics engine with adaptive spike detection using Z-score and MAD algorithms
▶ Automated SLA reporting with daily uptime calculations pushed back to Zabbix via trapper items
▶ Cross-host correlation analysis for identifying infrastructure-wide performance patterns
▶ Smart caching system with configurable TTL and auto history/trends switching for optimal performance

▶ Python-based infrastructure provisioning and configuration management
▶ Automated remediation scripts for common NOC incidents (reduced MTTR by 35%)
▶ Health check orchestration with self-healing capabilities
▶ Compliance monitoring with automated security posture assessments

▶ Real-time network telemetry collection from Cisco and SD-WAN infrastructure
▶ Predictive analytics for capacity planning and anomaly detection
▶ Integration with threat intelligence feeds for security-aware monitoring
▶ Custom Grafana panels for executive-level reporting

▶ Incident response automation with Slack/Teams integration
▶ Post-incident analysis templates and blameless culture documentation
▶ Chaos engineering experiments for system resilience testing
▶ Toil identification and elimination tracking

• 99.8% average uptime across monitored services (tracked via custom Zabbix analytics)
• 12 minutes Mean Time to Detection (MTTD) using adaptive spike detection algorithms
• 22 minutes Mean Time to Resolution (MTTR) with automated correlation analysis
• 65% reduction in manual operational tasks through Python automation
• Zero false positive alerts through intelligent filtering and MAD-based anomaly detection
• Production-grade SLA monitoring with automated daily uptime reporting to stakeholders

Certification	Badge	Status
ISC2 Certified in Cybersecurity (CC)		✅ Active
CompTIA Linux+		✅ Active
CISCO Cybersecurity Essentials		✅ Active
AWS Solutions Architect		🎯 In Progress

• Advanced Analytics: Implementing Z-score and MAD algorithms for infrastructure anomaly detection
• SLA Engineering: Building comprehensive uptime calculation engines with automated reporting
• API Integration: Developing robust API clients with OAuth2, caching, and rate limiting
• Statistical Analysis: Cross-host correlation matrices for infrastructure pattern identification
• Performance Optimization: Auto-switching between Zabbix history/trends for optimal query performance
• Production Systems: Deploying enterprise-grade monitoring dashboards with 14-day log retention
• Code Quality Automation: Building dead code detection tools for automated repository maintenance

I'm passionate about advanced observability engineering, statistical monitoring algorithms, and production-grade SLA systems. Whether you're interested in anomaly detection, automated uptime reporting, or building enterprise monitoring dashboards, I'd love to share insights and collaborate!

🔗 LinkedIn: josephkibaki
📧 Email: kibaki.joseph1@gmail.com
🐦 Twitter: @J_Kibaki
💬 Open to: Mentoring, Knowledge Sharing, SRE Discussions