Pavan Bandi

An outstanding, self-motivated professional with around 2.4 years of experience in IT industry with major focus on Linux/Unix administration and Software Configuration Management, Container technology and DevOps Process. Container development, orchestration, management and administration. Advanced container orchestration, cluster implementation, administration and automation.

Strong knowledge on managing the applications in AWS include services like EC2, S3, EBS, EFS, VPC, RDS, IAM, ROUTE 53, CLOUD FRONT, LAMDA, SNS, CLOUD WATCH. Integration of clusters with monitoring and logging solutions. Performs necessary systems maintenance in accordance with RedHat & Containers best practices and Company change management policies.

Troubleshooting issues with Container solution tools, cluster. Understanding of deploying and Application configurations.

Managed

Docker orchestration and Docker containerization using Kubernetes. Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers. Good Knowledge in yml Scripting.

Experience in and demonstrated understanding of source control management concepts such as branching, merging, labelling and integration. Familiar with major PaaS platforms such as OpenShift. Good interaction with developers, managers, and team members to coordinated job tasks and strong commitment to work.

Software Engineer - Accenture Solutions Private Limited

(2024-01)

Software Engineer - ENRIVOLV IT SOLUTIONS PRIVATE LIMITED - Bangalore

(2024-01 - 2024-05)

Software Engineer - kyndryl-Icici (SOFTENGER (INDIA) PVT. LTD as a consultant) - Hyderabad

(2021-10 - 2023-08)

• Implemented a continuous build-test-deployment (CI/CD) system with multiple component pipelines using Jenkins to support weekly releases and out-of-cycle releases based on business needs
• openshift cluster security was improved by usage of pod security policies, network policies, secrets, service account, roles and role bindings
• Have worked in the rightsizing of openshift clusters based on the cluster requirements of applications
• Have managed the persistent volumes of openshift clusters using volume mounts, persistent volume claims, hostpath, etc
• Facilitated dynamic configurations of container pods using Kubernetes concepts of ConfigMaps, Lifecycle postStart hook scripts in deployments
• Configured k8s clusters with proper node specifications based on resource and capacity, proper labelling thereby setting limits which will have better performance
• Troubleshooted issues with k8s clusters with respect to both control plane components including etcd and worker nodes
• Provided isolation between applications and streams using k8s namespaces, rbac roles, and service accounts
• Developed and managed workloads using different controllers like Deployments, ReplicaSet, DaemonSet, StatefulSet, Job, etc
• Created K8S Service to expose the pods using NodePort, ClusterIP and Loadbalancer, both HTTP and secured TLS applications
• Created k8s Ingresss for a multiple backend configuration application and by using Ingress controller nginx
• Managed Kubernetes resources with resource quotas requests and limits thereby maintaining consistent performance of the cluster and application
• Managed multiple k8s clusters with kubeconfig file with user and context configuration
• Usage of helm charts to deploy Kubernetes application pods
• Implemented solutions to accommodate client recommendations for pod scheduling by usage of taints and tolerations of nodes, Node Affinity and Anti-affinity and pod affinity rules
• Integrated solutions of Monitoring in k8s clusters using ELK (Elasticsearch, Logstash, and Kibana) stack for monitoring and logging
• Written bash script to check the health of the Red Hat Linux servers, like CPU usage & memory usage, etc. once it fetches the logs from the respective servers the log files will sent to teams via email. Here I used cron jobs to automate the script execution for a particular interval of time
• Written Ansible playbooks and roles to automate ELK Stack deployments with Ubuntu and Redhat servers
• Developed Kubernetes manifests/yaml files for application build onto Kubernetes clusters
• Written yaml files for pods, deployments, stateful sets, services, secrets, configmaps, daemon sets, replica sets, endpoints, etc
• Automated application checks using shell script, Automation of internal application process using shell script reducing the manual efforts
• Written Ansible playbooks to automate file beat and metric beat to analyse and aggregate the logs in elastic search
• Written Ansible playbooks to automate & integration between Kubernetes and Elastic search
• Experienced Cloud and DevOps engineer in Automating, Configuring and deploying instances on AWS Cloud environment
• Used Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
• Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, Docker, Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy
• Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes
• Writing & Creating yml manifest files for PV, PVC, Deployments, Statefull sets, Daemon sets objects
• Creating users in kubernetes cluster and assign access permissions to projects/Namespaces
• Writing & Creating role, cluster role, role binding and cluster role binding
• Providing object limitations to namespaces/projects using Resource quota and Resource limits
• Worked on deployment automation of all the micro services to pull image from the private Docker registry and deploy to Kubernetes cluster using Ansible
• Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker
• Worked with Open Shift platform in managing Docker containers and Kubernetes Clusters
• Debugging and resolving Pod issues like Crash loop-back of errors, image loopback of error, pending state issues
• Created Kubernetes deployment, statefulsets, Network policy etc
• Worked on infrastructure with Docker containerization and maintained Docker Images and containers
• Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy
• Managed Ansible playbooks/roles to automate system operations
• Integration of Kubernetes/Open shift
• Configured Elastic Load Balancers (ELB) with EC2 Autos calling groups
• Worked on troubleshooting issues with Elastic search cluster health status (Unassigned shards)
• Responsible for product deployments into QA, STAGE and PROD environments
• Procuring and configuring the server as per the needs of the release and the application
• Coordinate with Release Management regarding appropriate system releases among other development platforms

MBA - JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY, KAKINADA (Narasaraopet Engineering college) (2017-01 - 2019-01)

B.com - Computers - Acharya Nagarjuna University Guntur (T.S Reddy Degree College-Piduguralla) (2014-01 - 2017-01)

12th - M.E.C - Board of intermediate Education (Master Minds Junior College-Guntur) (2012-01 - 2014-01)

SSC - Board of Secondary Education (Z.P.H School- Bellamkonda) (2011-01 - 2012-01)