hitesh b.

Observability is not just about installing agents and building dashboards—it’s about creating a unified telemetry strategy that reduces MTTR and ensures 99.9% uptime. I am a Senior Observability Engineer specializing in transforming complex, fragmented infrastructures—from legacy monoliths to modern Kubernetes environments—into actionable, high-visibility ecosystems. I bridge the gap between engineering noise and business value by implementing proactive, zero-blind-spot monitoring. 🚀 Where I Specialize Cloud-Native (K8s/Docker): Expertise in the modern LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus). I deploy OpenTelemetry (OTEL) Operators and Alloy collectors to ensure granular microservice monitoring. Experience with Grafana Cloud and self-hosted Grafana setups. Telemetry & Data Pipelines: Custom ingestion scripts to push data into Grafana Data scraping from Apache, Kafka/MSK streams, and custom systems Python-based API ingestion and transformation pipelines Legacy Infrastructure Modernization: I leverage AppDynamics for deep APM transaction tracing and Zabbix for robust infrastructure health (SNMP/Hardware/VMs) without containerization. SaaS & Custom Integrations: I build custom Python API Bridges to pull performance metrics from platforms like Salesforce (SFDC) and ServiceNow, pushing them into Grafana for a "Single Pane of Glass" view. ⚡ My Proactive Approach I don’t wait for users to report issues. I engineer high-impact Synthetic Monitoring systems using Selenium scripts within Zabbix to simulate real-user journeys. These are directly integrated with: PagerDuty (alerting & escalation) ServiceNow (incident lifecycle automation)\ 🔧 DevOps & Automation GitHub Actions (CI/CD automation) Monitoring-as-Code implementations Automated alerting and observability workflows 🤖 AI-Driven Observability AI agents for anomaly detection Alert noise reduction Faster root cause analysis 📊 Focus on Business Value My implementation strategy is driven by SLA, SLO, and SLI level metrics. At companies like Equinix, my monitoring architectures have reduced MTTR by 40%, directly enhancing system reliability and team efficiency.