Vishnu Madle

· Configured Azure SQL Database and Azure Cosmos DB instances for high performance and scalability.

· Managed Azure Kubernetes Service (AKS) clusters for containerized applications, ensuring high availability and scalability.

· Provided technical guidance to project teams on best practices for deploying applications to Microsoft Azure platform.

· Deployed virtual machines for cloud hosting solutions such as Azure and AWS.

· Assisted customers with the configuration and deployment of their applications in an Azure environment.

· Designed and implemented automated deployment of Azure services using ARM templates, PowerShell, and other scripting languages.

· Led the creation and implementation of comprehensive CI/CD pipelines, integrating various DevOps tools to automate deployment processes.

· Managed ports and keys according to the requirements to ensure that there is no unauthorized access.

· Installation and configuration of Linux operating systems from the RedHat and Debian families

· Solved day-to-day issues raised by developers and testers by remotely controlling their machines with RDP and SSH, and resolved issues raised by developers and testers.

· Jenkins jobs' console output is sent to developers and testers as soon as a build fails. This is in order to allow them to take the appropriate steps to resolve the issue

· Connected maven to Jenkins in order to automate the process of building the source code written by developers and to create the end product by running maven jobs.

· Provided assistance to developers as far as the creation and management of Maven directories, adding code to them, and pushing to GitHub.

· With the help of Jenkins plugins, I have connected Jenkins to DevOps tools such as Git, Maven, Ansible, Docker, and Tomcat in order to automate the deployment of our end products to production with the help of CI/CD.

· Using Jenkins roles, I created several user accounts to provide limited access to users in Jenkins in order to improve security.

· Integrate the Jenkins Master with internal and external worker nodes in order to distribute the workload from the Jenkins Master to the worker nodes.

· Jenkins job build history was sent in an automated manner to team members for action if any errors occurred.

· Setting up upstream and downstream jobs to build jobs continuously without manual intervention as part of CI-CD.

· Revolutionized a legacy data distribution platform through the adoption of GCP technologies, reducing retrieval times by 45% Implemented CI/CD pipelines using Jenkins and Kubernetes, increasing software delivery rates by 30%

· Reduced downtime risk by 70% by redesigning the system architecture, dividing it into microservices running on GCP Cloud Functions.

· Executed automated deployments on the Google Kubernetes Engine, improving the deployment speed by 55%.

· Proactively identified security risks while migrating to the cloud, and implemented appropriate solutions, preventing potential data breaches.

· Leveraged GCP tools to redesign data infrastructure, increasing data processing speed by 25%.

· Led a team of junior engineers, facilitated upskilling sessions that increased their productivity by 40%. Implemented a disaster recovery plan that shrank the recovery time objective by 60%.

.Worked on some Jenkins concepts, such as View, Poll SCM, Build Periodically, Web Hooks, Jenkins Plugins, and Global Configurations.

· Scheduled some jobs that require frequent execution using Poll SCM.

· Setting up the pipelines to automate the flow of the deployment process.

· Connected CloudWatch with SNS for monitoring and alerting purposes.

· Monitored CPU and RAM usage on Web servers and Database servers by creating automated alarms and sending notifications with the help of SNS (simple Notification service).

· In order to receive notifications regarding the status of servers, I have created SNS topics for different teams, and added subscribers to those topics.

· Created customized graphs and dashboards in CloudWatch for ease of monitoring.

Billing alarms were created for AWS accounts, suggested mechanisms for reducing charges, and good practices.

· In order to meet the project requirements, both default and detailed monitoring have been used in CloudWatch.

· Used Terraform to manage AWS cloud infrastructure in the areas of EC2, S3, IAM, Load Balancer, Auto Scaling, and VPCs.

· In addition to having extensive experience in creating Terraform files using HCL script, I have also conducted training sessions on Terraform for members of my team.