Þveloper

\n \n \n \n Requirement \n \n \n Grafana SME/Architect \n \n \n \n \n Expertise \n \n \n Grafana Stack ? Grafana Enterprise / Cloud Stack \n \n \n \n \n Key responsibilities \n \n \n \n Design, implement, and configuration of Grafana Enterprise Stack / Grafana visualizations for the Client. \n Present and demonstrate Grafana capabilities \n Responsible for Grafana Enterprise / Cloud deployment \n Administration of Production Systems, where Grafana with data sources as Prometheus, Graphite, M3DB,etc. \n \n \n \n \n \n \n Key Skills \n \n \n \n Good understanding and experience on: \n \n End to end Grafana data Ingestion, enrichment, transformation and visualization \n Deployment Administration of Grafana Stack version 7.x and above \n Container Infrastructure to run Grafana \n Docker, Kubernetes, Artifactory and Gitlab & cloud platforms (preferably Azure / AWS) \n Deeper understanding on VPC, Subnet, NI, LBs and Availability Zones & AWS Services limitations \n \n Should have hands on experience with: \n \n Setting up and configuring Grafana & Integration experience with different multiple data sources like 3rd party monitoring tools Devops / API?s,etc. \n configuring dashboards, alerts and alarms \n Exposure to analyze from dashboard, recommend and problem solving skills to debug issues / integrate using Json, API, CI/CD pipeline using scripts \n Data visualization using Grafana for creating Grafana dashboards to display time-based data plots \n AWS Services \n \n Cloud Formation \n ASG, EC2 \n S3, Route53 \n CloudWatch \n \n \n \n \n \n \n \n Good to have skills \n \n \n \n Experience in Python scripting, Dockers , Kubernetes , Ansible for Run book Automation \n Good understanding of AWS cloud and cloud services \n Grafana certification \n \n \n \n \n \n AIOPS Event Management & Analytics