Work Experience
 Company: CloudThat
Project 1: Monitoring components of EKS Cluster using Prometheus and Grafana
Description:
• Infrastructure design for EKS Cluster.
• Creating EKS Cluster Roles and Node-group Roles for getting resources accessible.
• Deployed an application that is containerized using Docker onto a Kubernetes Cluster.
• Monitoring EKS Cluster components by setting up Prometheus Tool.
• Using helm repos Prometheus has been installed.
• Effective visualization of Prometheus done with the implementation of dashboards in Grafana.
• Implementing the Grafana tool for analyzing the EKS cluster with data source as Prometheus.
• Proactively monitoring performance.

Technologies Used: EKS, Prometheus, Grafana.
Project 2: Generating logs and metrics for components of EKS Cluster using EFK stack and Metricbeat
Description:
• Infrastructure design for EKS Cluster.
• Creating EKS Cluster Roles and Node-group Roles for getting resources accessible.
• Deployed an application that is containerized using Docker onto a Kubernetes Cluster.
• Creating EFK stack for generating logs of EKS Cluster.
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• Implemented Elasticsearch for not only powering the Search but using EFK stack to
logging and as well as monitoring our systems end to end Using Metricbeat.
• Used Kibana plugin to visualize for elasticsearch.
• Build visualization and dashboards for metrics of EKS cluster using Metricbeat and Kibana.
• Responsible to designing and deploying new EFK clusters (Elasticsearch, Fluentbit, Kibana, Metricbeat)
Technologies Used: Elastic Search, Fluentbit, Kibana, MetricBeat, CAdvisor.
Project 3: Tracing EKS Cluster using Jaeger Istio and Kiali
Description:
• Infrastructure design for EKS Cluster.
• Creating EKS Cluster Roles and Node-group Roles for getting resources accessible.
• Deployed an application that is containerized using Docker onto a Kubernetes Cluster.
• Implemented and managed the Jaeger and Istio for distributed tracing of EKS Cluster components.
• Created CICD pipeline using Jenkins for automating monitoring tracing and logging EKS Cluster.

Technologies Used: Jaeger, Istio, Kiali.
Project 4: Managing Big data applications using EMR Serverless
Description:
• Infrastructure design for EKS Cluster.
• Creating EKS Cluster Roles and Node-group Roles for getting resources accessible.
• Deployed an application that is containerized using Docker onto a Kubernetes Cluster.
• Configured EMR Serverless for Big Data Analytics application.
• Setting up several EMR Runtime roles for making job runs successful.

Technologies Used: EMR Serverless, IAM.
Project 5: Managing and configuring container runtime
Description:
• Configuring containerd runtime on several VM.
• Managing the dockerd and runc container runtime for deploying containers.
• Deploying containers using singularity using docker image into cluster.
Technologies Used: containerd, runc, Singularity