Avinash Maddu
Cloud Admininstrator/DevOps/Linux Admin
- Role
- Devops Linux Admin at DENSO
- Location
- Farmington, MI, US
- LinkedIn followers
- 500 followers
Experience
Devops Linux Admin
Jan 2019 — Present · Southfield, MI, US
Owned the end-to-end design of Oracle Cloud Infrastructure (OCI) environments, building out scalable, monitored, and secured Linux-based systems that supported production 24/7 with over 99.99% uptime during 6.5 years of operations.• Architected and led the transformation of enterprise-wide observability by implementing Dynatrace across Oracle Cloud, AWS, and on-prem systems—creating a unified intelligence layer for performance, alerts, and business impact analytics.• Directed a cross-functional offshore and on-site team in managing prod/non-prod Linux servers, defining operational playbooks, and hardening system access through role-based permissions and auditing.• Spearheaded a tool migration strategy within Oracle Cloud, re-engineering monitoring workflows and alerting hierarchies for improved signal-to-noise ratio and operational response times.• Served as the point-of-contact for network-restricted reverse proxy configurations, enabling internal-only tool access for VIP clients through hardened internal routing and controlled access provisioning.• Led architectural efforts for OS upgrade pathways on Oracle Cloud instances that lacked in-place upgrade support, developing a manual yet standardized approach that minimized downtime and mitigated risk.• Orchestrated full-stack Dynatrace deployment across hybrid environments; established baseline learning, anomaly detection, and service topology mapping that eliminated blind spots across legacy and cloud-native apps.• Integrated Dynatrace with ServiceNow, Jira, and Slack, creating seamless incident lifecycle flows, reducing MTTR by over 50%.• Developed synthetic and RUM dashboards to monitor critical end-user journeys, proactively identifying and resolving degradation before it impacted SLAs.• Configured log analytics pipelines, tuning Dynatrace Davis AI to automatically surface JVM memory leaks, DB latency spikes, and service-level deviations that escaped legacy tools.
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