Building a Production-Grade Kubernetes Observability Stack on AWS
How to design a Kubernetes observability stack on AWS that reduces alert noise, shortens MTTR, and gives engineers the right signal during production incidents.
Designing and operating enterprise-grade AWS and Azure infrastructure. Specializing in Kubernetes, GitOps, and cloud security.
I am a Cloud/DevOps Engineer with over 2+ years of enterprise experience designing and operating mission-critical infrastructure across AWS and Microsoft Azure. I specialize in Kubernetes orchestration, GitOps delivery, and cloud security hardening.
My work centers on the intersection of engineering excellence and operational scale: building production DC-DR architectures for banking workloads achieving near-zero downtime, and automating complex deployment pipelines to reduce cycle times by over 60%.
// A battle-tested toolkit built for enterprise-grade cloud environments and automated delivery pipelines.
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// Production systems with measurable business impact — built to scale, designed for high availability.
Designed production-grade High availability and Disaster Recovery (HA/DR) architecture enabling near-zero downtime failover for banking workloads.
Monitored and optimized large-scale AWS infrastructure. Managed 100+ weekly incidents via Opsgenie and implemented comprehensive observability stack.
Integrated GitOps workflows via Argo CD and automated infrastructure provisioning using Terraform. Applied CIS benchmark hardening across workloads.
Architected secure multi-tenant cloud environments supporting multiple client versions. Strengthened network security via WAF, IPsec VPN, and RBAC.
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// Battle-tested patterns, architecture deep-dives, and operational lessons from production cloud environments.
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My inbox is always open for robust architectural challenges, cross-functional collaboration, or direct technical discussions.
lavisaini322@gmail.com