iabdulzahid

Developed code for monitoring application resource consumption across Kubernetes, Docker, and Docker Swarm infrastructures. Implemented mechanisms to prevent application provisioning when resources are insufficient, ensuring optimal resource utilization and system stability. Developed an application config package feature enabling users to provide multiple config files during app provisioning, with Kubernetes using ConfigMaps and Docker using volumes for seamless configuration management. Integrated GlusterFS with Docker Swarm to create a scalable, high-availability storage solution by configuring replicated volumes across multiple VMs, automating the provisioning of container volumes, and implementing storage quotas to manage resource usage efficiently. Fixed bugs, improved service reliability via health checks, and performed Ansible-based setups for system maintenance.

Developed a health monitoring feature for edge services, Kubernetes infrastructure, and RabbitMQ that triggers alarms for unhealthy services or excessive resource consumption, provides real-time notifications on the alarm page UI, utilizes RabbitMQ for communication and InfluxDB for data storage, and incorporates REST API integration for efficient health checks and fault management. Implemented Huge Pages support in Kubernetes to enhance application performance by enabling access to larger memory pages (1Gi or 2Mi), configured Huge Pages on minion nodes, ensured application compatibility through infra configurations, streamlined provisioning processes via UI/API, and developed an API for monitoring Huge Pages usage and memory consumption in real time.