Cloud observability architect developing end-to-end monitoring solutions to fulfill customized observability requirements. I am engaged in services and infrastructure monitoring, logging, tracing, profiling, alerting, debugging, performance engineering, DevSecOps, and capacity planning for first party data centers as well as public clouds (AWS/Azure/GCP/Heroku). Leading an eco-system of development, customization, packaging, testing, and deployment around open source log and metrics shipping agents for delivering enterprise telemetry use cases that meet operational SLAs. On-boarding host/network syslog, native/VM/K8s application logs, and system/application/container metrics in multi-cloud environment. Performance engineering of Linux kernel, runtime, and applications hosted on cloud infrastructure. Live site incidents triage, analysis, and debugging with automation to meet service ownership goals for engineering teams.Embedded server and switching platform performance debugging and re-architecting. Performance engineering experience at all levels: application, runtime system, Linux kernel, VMM, hardware architecture, RAM/Flash/HDD/RAID based storage, and special-purpose accelerators. Multiple classes of infrastructure products: compute servers, storage servers, proxy servers, application gateways, router and switch control planes, and software routers. Linux kernel level tuning and debugging for scheduler, memory, time accounting, and udev sub-systems.My objective is to own a product or service end-to-end and deliver reliability, availability, and efficiency goals that are driven through measurements.
Listed skills include Cloud Computing, Software Engineering, Linux, C, and 19 others.