To obtain long-term career with an organization, that has a strong background that provides good opportunity for enhancement of professional and personal skills.
Kubernetes administrator: 2022-2023
1. Creation of pods,deployments,daemonsets,services,namespaces,service accounts, static pods
2. Usage of node selectors, taints/tolerations and node affinity/anti-affinity for pod scheduling.
3. Implementation of sidecar, adapter and ambassador(proxy) containers.
4. Usage of resource limits/requests on pods/deployments and resource quotas/object count quotas on namespaces
5. Usage of liveness/readiness/startup probes.
6. Usage of configmaps/secrets ,PVs ,PVCs and storage classes. Extending PV size.
7. Injecting vault secrets into deployments/pods
8. Usage of network policies ,RBAC(Roles, Rolebindings , ClusterRoles , ClusterRolebindings)
9. Application upgrade using deployment patterns like rolling update , recreate ,canary
10. Cluster management using Rancher
11. Cluster backup/restore using Valero
12. Cluster monitoring using Prometheus/Graphana
13. Using Sysdig secure for vulnerability scanning
14. Injecting Vault secrets into Deployments/pods.
15. Performing drain ,cordon ,uncordon on nodes
16. Upgrade of the controlplane and worker node components using kubeadm.
17. Using etcdctl for ETCD backup/restore.
18. Using private repositories(ecr,gcr) to pull the images for the containers using secrets.
19. Can take care of volume node affinity conflict error(pods in pending),PVC stuck in pending status, CrashloopBackoff, OOM Killed, ImagePullbackoff error etc.
Autosys administrator: 2017-2022
· Monitoring the batch and making sure that the batches meet the SLAs.
· Taking care of all the activities related to job scheduling.
· Working as a level 1 Admin for Autosys.
· Working in troubleshooting of the job failures as part of application support as well as production control.
· Performing JIL loads and JIL reviews.
· Working on data mod activities in Sybase,Oracle and SQL server databases using TOAD,Cyber-arc guided by L3 resources of the application teams
· Ticketing tools used are Remedy and Service now.
Kubernetes,AWS Cloud,Autosys job scheduling,git,Jenkins