Ashish Dwivedi

About Ashish Dwivedi

I studied Civil Engineering. I ended up building and managing distributed systems.That detour taught me the most important lesson of my career — the best engineers are not the ones who know the most tools. They are the ones who see patterns where others see noise.Today I work as an Observability Engineer, designing monitoring systems, anomaly detection pipelines and intelligent alerting frameworks that keep mission-critical production environments running at their best — using New Relic, Grafana, VictoriaMetrics, ELK Stack and AI-driven detection models.What I do every day:→ Build dashboards that tell a story, not just show numbers→ Design anomaly detection systems that catch issues before users do→ Conduct Root Cause Analysis that goes deeper than the obvious→ Bridge the gap between DevOps, engineering and business teamsBut here is what I have also learned — the most complex system I have ever had to monitor is my own mind.High-pressure environments, production incidents at 2am, always-on culture — I have lived it all. And alongside my technical journey, I have built a daily practice of mindfulness and gratitude that keeps me sharp, calm and purposeful through all of it.I share both worlds here — deep technical insights on observability and AI, and honest reflections on what it means to perform at your best without losing yourself in the process. Certifications: New Relic Verified Foundation · Red Hat OpenShift (DO280) Stack: New Relic · Grafana · VictoriaMetrics · ELK · Prometheus · Kubernetes · AWS · AzureLet us connect if you are building resilient systems — technical or human.

Experience

1. Observability Engineer

   Sardeck Services Private Limited

   May 2025 — Present · Jaipur, IN

   Working as an Observability Engineer, responsible for end-to-end system observability, intelligent monitoring, and AI-powered anomaly detection across production environments. Key Responsibilities & Achievements:→ Designed and maintained real-time monitoring dashboards using Grafana and VictoriaMetrics to track infrastructure health, application performance and business KPIs→ Implemented AI-driven anomaly detection pipelines to proactively identify irregular patterns in system behaviour — reducing incident response time significantly→ Built and optimised alerting frameworks using Prometheus and ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation, correlation and root cause analysis→ Conducted deep Root Cause Analysis (RCA) for production incidents — documenting resolutions and building runbooks to prevent recurrence→ Collaborated with DevOps, development and QA teams to ensure end-to-end observability coverage across microservices and distributed systems→ Optimised monitoring configurations reducing alert noise and improving signal-to-noise ratio across the entire observability stack→ Maintained Apache Superset dashboards for data visualisation and business intelligence reporting→ Documented alert policies, monitoring procedures and troubleshooting guides for operational continuity Stack: VictoriaMetrics · Grafana · New Relic · ELK Stack · Prometheus · Apache Superset · Python · Bash · SQL · Kubernetes · AWS · Linux

Education

• Jaipur Engineering College and Research Centre (JECRC)

  Bachelor's degree, Civil Engineering

  2017 — 2021