
AWS is incredibly powerful, but if you’re not actively watching your usage, costs can silently grow. The good news? AWS already provides multiple tools (and integrates well with third-party platforms) that can help you analyze, control, and optimize ...
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SDE I – Site Reliability Engineering at Dexcom, working on infrastructure that supports medical-grade, life-critical systems. I specialize in building observable, self-healing, and automated infrastructure — the kind that pages you less and recovers faster. What I work with at Dexcom: Kubernetes · GCP · Pulumi · Python · Linux · CI/CD · GitOps · Datadog What I've shipped independently: → Lumina — AI-powered observability platform ingesting 10K+ logs/hour across 4 microservices, reducing MTTR by 82% with OpenAI-driven RCA and GitOps auto-rollback via ArgoCD + Helm. → Self-Healing AWS Infrastructure — event-driven remediation system where Prometheus monitors EC2 health and triggers automated recovery via Lambda + Terraform, eliminating manual intervention. → Service Mesh Platform — Kubernetes + Istio setup with canary deployments (90/10 split), cutting incident detection from 10 min to 3 min. Also writing about it: · 16+ articles on Kubernetes, AWS, and SRE on Hashnode — debugging guides, cost engineering, production patterns. Stack: Kubernetes · Docker · Terraform · AWS · GCP · ArgoCD · Helm · Prometheus · Grafana · Elasticsearch · Istio · Python · Go · Linux 📩 davesaurabh59@gmail.com
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