Rama Krishna

About

• Experienced in working on Software Development Lifecycle (SDLC), culture, CI/CD pipelines and delivery automation, agile methodologies, values, and procedures. • Experience with Azure Repos, branching Strategy, code review, and code analysis tools like sonarqube. • Experience in Build and release management – Azure DevOps, Gitlab, Jenkins, Jfrog, maven. • Design, implement, build & deploy the containerized application via Docker, Kubernetes, and Azure Container Registry. • Implemented multiple CI/CD pipelines as a part of DevOps role for on-premises and cloud-based software using Azure DevOps, Terraform, Docker, PCF and Kubernetes. • Experience in working with deployment strategies Blue-Green deployment and Canary deployment. • Experience in Azure Kubernetes Service (AKS), Automated the AKS deployment using Azure DevOps. • Having working experience with Helm charts. • Having working experience on network policies on Kubernetes and PCF. • Having working experience with Service Mesh linked, Iso. • Experience working with APIGEE Edge, Developer Portal & and APIGEE Baas platform. • Deployed AKS cluster, Resource group, and deployments using Terraform. • Having working experience in setting up alerts on the AKS cluster. • Having working experience on AKS clusters backup tools like Veloro, and Kasten. • Having working experience in Kub cost on the AKS cluster. • Created Self-hosted agents from AKS deployment for Azure DevOps Projects. • Design, implement, and improve monitoring and alert systems. • Experience in Infrastructure as a code tool terraform. • Implemented Continuous deployment using Argo CD. • Experience in creating fact and dimensional models in MS SQL server and Snowflake Database utilizing Cloud base Matillion ETL tool. • Good experience in developing customized policies in APIGEE Edge and developing API's in APIGEE Baas. • Implemented the server-less and Azure Functions Serverless computing platform provided by Azure Cloud. • Experienced in installing and configuring SAP Redwood CPS Job Scheduler. • Experienced on Ansible and Ansible Tower to automate repetitive tasks, deploy critical applications quickly, proactively manage the changes, and wrote many playbooks to manage Web applications. • Expertise in Azure Development, working on Azure web applications, App services, Azure storage, Azure Resource Manager (ARM), ARM Templates, Azure SQL Database, Virtual Machines, Fabric controller, Azure AD, Azure search, and Notification hub. • Configured Redwood Cronacle to schedule jobs directly from an iPhone on sand box systems. • Expertise in Workflow, increasing in Architecting and Implementing Azure Service Offering, such as Azure cloud services, Azure storage, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Azure, Blob Storage, Azure VMs, SQL Database, Azure Analyze, organize, and provide in depth reviews to improve applications dynamically and ensure the completion of tasks. • Strong experience on DevOps essential tools like Ansible, Docker, Kubernetes, PCF, Subversion (SVN), GIT, Hudson, Jenkins, Ant, Maven and migrated VMWARE VMs to AWS and Managed Services like EC2, S3, Route53, ELB, EBS. • Strong experience in AWS, creating, importing, and launching volumes, EC2, RDS, Lambda, security groups, auto - scaling, load balancers (ELBs), NACL in the defined VPC to design cost effective, fault tolerant and highly available systems. • Experience in developing Splunk queries and dashboards targeted at understanding application performance and capacity analysis. • Experienced in administration/maintenance of source control management (SCM) systems, such as sub version (SVN), GIT. • Experienced in maintaining CI environments with build automation tools like Jenkins, Bamboo and extensively used Jenkins to streamline CI/CD process, automated Master-Slave configuration using temporary slaves. • Maintained a Mul-Datacenter Mongo cluster. Experience in performance tuning a Mongo cluster to optimize writes and reads. Involved in the process of data modeling Mongo Schema. • Installed and Configured DataStax OpsCenter for Mongo Cluster maintenance and alerts. • To achieve Continuous Delivery goal on high scalable environment, used Docker coupled with load-balancing tool Nginx. • Virtualized the servers using Docker for the test environments and dev-environments needs, also configuration automation using Docker containers. • Experience in creating Docker Containers leveraging existing Linux Containers and AMI's in addition to creating Docker Containers from scratch. • Demonstrated expertise in configuring container images for efficient execution on Cloud Run. • Leveraged Google Cloud Run's serverless platform to automatically scale applications based on incoming traffic. • Creation of Matillion Jobs for Redshift to process multiple source systems data into S3, to process all S3 • Implemented security best practices by utilizing Google Cloud's automatic encryption at rest and in transit features. • Wrote prototype and production code in numerous programming language which depends up on language(s) of existing codebase: Golang/Go, Ruby, MySQL and Python. • Integrated Cloud Run into CI/CD pipelines, automating the deployment process and ensuring rapid and consistent releases. • Implemented Google Cloud's Shared VPC architecture to establish a shared network infrastructure across multiple projects. • Proficiently configured network tags for virtual machine instances in Google Cloud. • Implemented tag-based routing strategies for efficient traffic distribution and load balancing in Google Cloud. • Good understanding of the OSI Model, and TCP/IP protocol suite (IP, ARP, TCP, UDP, SMTP, FTP, and TFTP). Used SQL to perform basic database administration. • Strong hands-on experiencea as Middleware Administrator providing Infrastructure support. Build and set up the frontend WebSphere/WebLogic/Apache/Tomcat with JAVA/Apache environment per application requirements, WAS migration, upgrade, certificates renewals, Compliance, and Patching.

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Education