Aws Cloud Azure Devops
Resume:
RAJA ALETI
*********@*******.***
PROFESSIONAL SUMMARY
Experienced and certified IT professional specializing in facilitating seamless migration of on-premises infrastructure to multi-cloud environments, including Azure and AWS. Adept at leveraging innovative technologies to drive efficiency and innovation.
Proficient in Administrating Azure IaaS/PaaS Services like Compute Azure Virtual Machines, Web, and Worker roles, VNET, Network Services, Azure DevOps, SQL Databases, Storages, Azure Active Directory, Monitoring, Auto scaling, PowerShell Automation, Azure Search, DNS, VPN.
Implement automation tools such as Azure PowerShell, Terraform, and ARM templates to streamline network management, seamlessly integrating with various Azure services to enhance overall operational efficiency.
Worked on Azure Log Analytics Workspace to manage the log data which is collected from various data sources like Azure Virtual Machines.
Leveraged Argo CD & Spacelift for automated deployments of AKS, API services, and network resources, integrating Terraform execution policies and compliance enforcement.
Ability in deploying Microservices, their application improvement and upgradation using Azure administrations like Azure DevOps, Kubernetes Service (AKS), Container Services, MySQL DB, Grafana, Azure pipelines, RBAC, and Checking Groups.
Managed Azure Kubernetes Service (AKS) & AWS Elastic Kubernetes Service (EKS) clusters, optimized networking, scaling policies, and automated deployments using Helm, ArgoCD, and Kubernetes Operators. Implemented Kubernetes RBAC, Pod Security Policies (PSP), and Istio-based service mesh.
Experience in writing Infrastructure as a code (IaaC) in Terraform, Azure resource management, and AWS Cloud formation. Created reusable Terraform modules in both Azure and AWS cloud environments.
Experience in deploying Cluster on AWS cloud developed YAML to create many services like pods, deployments, auto-scaling, load balancers, labels, health checks, Namespaces, Config Map, etc.
Used various triggers and configured various AWS messaging services like SNS, SQS, SES, and Pinpoint and acquainted with database services like Amazon Aurora, RDS, DynamoDB, and Redshift.
Experience in Kubernetes to deploy scale, load balance, and manage Docker containers with multiple names spaced versions using Helm charts.
Experience in configuring Azure Traffic Manager, Analyzing Azure Networks with Azure Network Watcher, Implementing Azure Web Apps, Azure App Services, Azure Application Insights, Azure Application Gateway, Azure DNS, Azure Stack, Azure Backup and Azure Automation.
Thorough knowledge of Azure Cloud Services, Storage Accounts, and Virtual Networks, as well as the ability to configure and maintain ExpressRoute, VPN, load balancers, V-nets, and Subnets on Azure Virtual Machines (VM), Auto-Scaling and Traffic Manager.
Drive the implementation of secure connectivity solutions, using VPN Gateway and ExpressRoute to extend on-premises networks into Azure with a focus on reliability.
Created Python scripts to automate AWS services which include web servers, ELB, Cloud Front distribution, database, EC2, and database security groups and application configuration, this script creates stacks, single servers, or joins web servers to stacks.
Designed and configured AWS Cloud Formation templates to create custom-sized VPC, subnets, EC2 instances, ELB, and security groups. Converted existing AWS infrastructure to server-less architecture (AWS Lambda) and deployed it via Terraform.
Integrate Terraform and Azure Resource Manager (ARM) templates for Infrastructure as Code (IaC), ensuring consistent and scalable deployment practices.
Establish a resilient network infrastructure using Network Security Groups (NSGs), Azure Firewall, and Load Balancers, ensuring granular traffic control and heightened system availability.
Fine-tune load distribution mechanisms through Azure Load Balancer and Application Gateway, enhancing fault tolerance and responsiveness of critical applications.
Deploy Azure Network Watcher for proactive monitoring and diagnostics, ensuring consistent best performance across the network.
Ability in using Docker Hub, Docker Engine, Docker images, Docker Weave, Docker Compose, Docker Swarm, and Docker Registry and used containerization to make applications platform when moved into different environments.
Ability in configuring the monitoring and alerting tools according to the requirement like Prometheus and Grafana setting up alerts and deploying multiple dashboards for individual applications in Kubernetes.
Analyzed system issues using Grafana, Prometheus, and Azure Monitor logs, finding and resolving performance bottlenecks by optimizing configurations. Improved monitoring scalability and reduced latency through strategic implementation of Prometheus recording rules and aggregation strategies.
Integrated the automation with GitHub APIs, enabling automated updates to CODEOWNERS files based on team structures, repository ownership, and access control policies.
Experienced in Ansible Tower, developing Ansible playbooks for managing the application/OS configuration files in the GIT hub, integrating with Jenkins, verifying with Jenkins plugins, and deploying the application in a Linux environment.
Maintained repositories in the Bit Bucket for the services developed and set up automated testing and
deployments using Jenkins.
Well versed with Software development life cycle (SDLC), Software Test life cycle (STLC), and Bug life cycle and worked with testing methodologies like Waterfall and Agile (SCRUM).
Extensively worked on monitoring tools like Splunk, Nagios, Elasticsearch Logstash Kibana, and worked on ticketing tools like JIRA, and ServiceNow.
Technical Skills:
Cloud Services
Azure, AWS, GCP
Infrastructure Management Tools
Terraform, ARM Templates, Cloud Formation
Configuration Management Tools
Ansible, Chef, Puppet
CI/CD Tools
Jenkins, Azure DevOps, GitHub Actions, Spacelift
Build Tools
Maven, Gradle, Ant
Container Orchestration Tools
Docker, Kubernetes, Docker Swarm
Version-Control Tools
GIT, GitHub, Azure Repo, Bit Bucket
Monitoring Tools
ELK, Cloud watch, Splunk, Grafana, Data dog
Scripting
Python, Shell, PowerShell, Json, YAML
Application/Web Servers
Apache Tomcat, NGINX, JBoss, Web Logic
Networking
TCP/IP, DHCP, DNS, SNMP, SMTP, Ethernet, NFS
Bug Tracking Tools
Bugzilla, JIRA, ServiceNow
Operating Systems
Ubuntu, CentOS, Red hat, Linux, Windows.
Repository Management
Nexus, JFrog
Languages
Java, SQL, HTML, JavaScript, XML
EXPERIENCE:
Client: Starbucks, WA TEKsystems
.
May 2024– Present
Sr. Cloud DevOps Engineer
Key Responsibilities:
Managed and optimized Azure cloud infrastructure, including Azure Kubernetes Service (AKS), Azure Landing Zone, Azure Stack HCI (used in hybrid scenarios and workload extensions), and Terraform Cloud, ensuring enterprise-wide scalability, security compliance, and operational efficiency.
Reviewed and validated customer requests for non-production and production environments through Verde, ensuring compliance with required configurations (including VMware workloads migrated to Azure and Azure Stack HCI) and organizational standards as part of Cloud Operations.
Developed and validated EPAC (Enterprise Policy as Code) policies, enforcing governance, security compliance, and automation-driven infrastructure standardization across cloud environments.
Created reusable Terraform modules with Go tests and Terraform tests, targeting sandbox, non-prod, and production environments, ensuring robust infrastructure-as-code deployments, modularization, and reusability.
Implemented GitOps workflows with Argo CD and Spacelift, optimizing CI/CD pipelines for cloud infrastructure deployments, ensuring automated and version-controlled infrastructure updates.
Performed Azure subscription cleanup, finding and decommissioning unused resources, orphaned VMs, and unattached storage accounts, improving cost efficiency and governance.
Developed and implemented a Network API to automate deployment of Virtual Networks (VNETs including peering and custom route tables) and Network Security Groups (NSGs with fine-grained rules for east-west and north-south traffic) to specified resource groups, standardizing network provisioning.
Troubleshooted Terraform state issues using Spacelift tasks and workflow, ensuring state consistency, version control integrity, and automated rollback mechanisms.
Created Spacelift stacks in different spaces, enabling segregation of environments, multi-tenant governance, and controlled infrastructure deployments across various teams.
Configured VMSS worker pools for Spacelift, refining infrastructure scalability and distributed workload execution, ensuring efficient Terraform plan and apply execution.
Built and automated CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, and Spacelift, ensuring secure and efficient deployments. Deployed multi-cloud workloads across Kubernetes and serverless environments (AWS Lambda, Azure Functions).
Implemented GitHub Actions to enforce code consistency and best practices, automating Terraform formatting (terraform fmt), linting, and validation across repositories, ensuring standardized and error-free infrastructure as code (IaaC) deployments.
Provisioned and managed AKS worker pools, ensuring optimal node utilization, workload balancing, and auto-scaling configurations for containerized applications.
Managed Spacelift stacks and state files, ensuring secure, automated Terraform workflows, preventing drift, and maintaining state integrity across multiple environments.
Created and assigned managed identities, ensuring secure resource authentication, and eliminating the need for explicit credentials in Terraform-based deployments across subnets (including delegated configurations) and resource groups.
Used RBAC API to automate role assignments, ensuring the least privilege access control across multiple resource groups and subscriptions.
Implemented role assignments on different Azure resources, minimizing access privileges while ensuring principle of least privilege (PoLP) enforcement across cloud environments.
Automated cloud operations using PowerShell scripts and Runbooks, streamlining subscription management, cost optimization, and infrastructure provisioning while reducing manual effort.
Designed and enforced cloud security compliance, implementing TLS 1.2+ upgrades, Azure Key Vault secret rotation, and CyberArk privileged access management, mitigating security risks and ensuring regulatory compliance.
Implemented GitHub Actions to enforce code consistency and best practices, automating Terraform formatting (terraform fmt), linting, and validation across repositories, ensuring standardized and error-free infrastructure as code (IaaC) deployments.
Provisioned and secured Jump boxes, ensuring controlled access to production and non-production environments by enforcing least privilege access and multi-factor authentication.
Leveraged Azure Key Vault to securely store and manage sensitive configuration data, such as connection strings, API keys, and certificates, ensuring secure integrations and automated rotation policies.
Validated and optimized cloud resources, ensuring cost efficiency, security best practices, and performance enhancements, while implementing auto-scaling policies and resource lifecycle management.
Managed Shared Image Gallery, standardizing VM images for consistent deployments across enterprise environments, reducing configuration drift and enhancing deployment efficiency.
Enabled Azure VNets Flow Logs to monitor and diagnose network performance, troubleshoot connectivity issues, and optimize network resources for improved reliability and latency reduction using Azure network services (App Gateway, Network Watcher, Load Balancer).
Implemented automated secrets rotation for enhanced security and compliance, ensuring seamless updates across cloud environments and minimizing human intervention.
Managed Certificate Renewal (CR) processes, streamlining certificate lifecycle management, reducing downtime risks, and ensuring timely certificate renewals.
Developed and standardized the Change Request (CR) process for certificate renewals using Venafi, ensuring controlled, auditable, and compliant updates for secure application communication.
Configured and enabled Diagnostic Logs for Azure resources, ensuring log data is routed to Event Hubs for seamless monitoring, security auditing, and analysis through Datadog, as per Proof of Value (PoV) requirements.
Automated Code Owner assignments across multiple GitHub organizations using Python scripts and GitHub APIs, dynamically updating CODEOWNERS files to ensure proper repository ownership, streamlined code reviews, and compliance with CI/CD governance policies.
Integrated REST APIs and Postman for cloud resource validation, API security testing, and automation-driven monitoring, ensuring compliance with security policies.
Maintained cloud documentation in Confluence, providing detailed infrastructure designs, operational runbooks, automation workflows, and troubleshooting guides, ensuring knowledge sharing and onboarding efficiency.
Collaborated with cross-functional teams using Miro Boards for architecture planning, infrastructure optimization, cloud governance, and automation workflows, ensuring alignment between DevOps, Security, and Cloud Engineering teams.
Provisioned GitHub self-hosted runners using Terraform, automating CI/CD workflows for multiple GitHub organizations to enhance pipeline efficiency and scalability.
Deployed and configured Splunk Forwarders using Terraform, ensuring real-time log collection and forwarding for Azure infrastructure monitoring, enhancing incident detection and response time.
Implemented proactive monitoring and alerting by integrating Azure Monitor, Log Analytics, Datadog, and Splunk, ensuring real-time visibility, anomaly detection, and security compliance.
Automated infrastructure scaling policies for AKS clusters and VMSS, optimizing resource utilization while maintaining performance and cost-efficiency.
Designed cloud cost optimization strategies, identifying underutilized resources, implementing cost-saving recommendations, and automating deprovisioning of unused resources to reduce cloud expenditure.
Led incident response and troubleshooting for cloud environments, diagnosing network, compute, and storage-related issues while collaborating with support teams for efficient resolution.
Enforced compliance and governance policies, ensuring infrastructure follows CIS benchmarks, Azure Security Center recommendations, and corporate security policies to meet audit and regulatory standards.
Developed and validated EPAC (Enterprise Policy as Code) policies, enforcing governance and security compliance across cloud environments.
Client: Fisher Investments, CA TEKsystems
.
May 2022 – April 2024
Sr. Cloud Infrastructure Engineer
Key Responsibilities:
Engineered end-to-end CI/CD pipelines leveraging GitHub Actions, automating build, test, and deployment processes across diverse projects. Created customized workflows using YAML syntax to trigger actions on code events, pull requests, and releases. Implemented secure practices by employing secrets and environment variables to protect sensitive information such as API keys and access tokens.
Engineered cohesive workflows by integrating SonarQube and JFrog Artifactory into GitHub repositories, ensuring consistent code quality analysis, secure artifact management, and collaborative development practices.
Orchestrated efficient CI/CD pipelines using GitHub Actions, incorporating SonarQube analysis and Artifactory artifact deployment for reliable software delivery.
Implemented versioning and state-locking mechanisms to ensure the reliability and integrity of the Cloud infrastructure deployment process.
Configured Azure cloud services, Azure storage, Azure active directory, Azure Service Bus, VPN (site-to-site and point-to-site using Azure VPN Gateway), Virtual Networks, Azure Functions, Azure Custom security, Endpoint Security. Created and managed Azure AD tenants and configured application integration with Azure AD.
Designed and Architecture for multiple subscriptions in Azure and involved with the Network team in setting connection from online to multiple VNETs (with peering and custom routing) using Azure through VNet Peering.
Designed modular and reusable Terraform modules to abstract and standardize the creation of infrastructure components, promoting consistency.
Implemented Terraform modules enabling application deployment across different cloud providers such as Azure and AWS, as well as infrastructure management through the creation of reusable modules. Worked on creating the modules-driven AZURE Infrastructure with Terraform.
Designed, deployed, and managed cloud infrastructure on Microsoft Azure, including virtual machines, Azure networking, storage, and databases.
Implemented Azure Active Directory for authentication and authorization, enabling secure access control to applications and resources.
Employed Azure Custom Script Extension to automate post-deployment configurations on virtual machines. AW
Developed PowerShell scripts to configure and customize virtual machine settings, software installations, and application setups.
Created PowerShell scripts to automate complex configuration tasks on Windows-based virtual machines.
Implemented security practices in Azure, such as network security groups (NSGs with granular rules) and supported VMware (including migrations to Azure and Azure Stack HCI) using Azure Site Recovery and Azure Migrate.
Designed disaster recovery strategies using Azure Site Recovery and backup services, ensuring business continuity and data protection.
Written Terraform Module to Deploy Azure Kubernetes Service (AKS) Cluster enabling the logging and monitoring with many VMSS scaling nodes, to deploy the multiple environments of applications into the single cluster.
Used Azure Kubernetes Service to deploy a managed Kubernetes cluster in Azure and integrated with Azure Stack HCI (used for hybrid and edge workloads) for workload extension and unified management.
Created Terraform modules for provisioning virtual networks, VM Scale sets, Load balancers, and NAT rules and used Terraform graph to visualize execution plan using the graph command. Used Terraform to deploy the infrastructure necessary to create development, test, and production environments for software development projects.
Provisioned the high availability of Azure VMs using Terraform and ARM templates, wrote new plugins to support new functionality in Terraform, and was involved in using Terraform to migrate legacy and monolithic systems to AZURE.
Worked on Docker container snapshots, removing images and managing Docker volumes for branching purposes by Provisioning and Configuring the Docker containers and creating Docker files for different environments.
Integrated Docker container orchestration framework using Kubernetes by creating pods, Config Maps, and deployments. Development of automation of Kubernetes clusters with Ansible, writing playbooks.
Worked on CI/CD system with Git Actions on GKE utilizing Kubernetes helm and Docker for the runtime environment for the CI/CD systems to build test and deploy.
Integrated on-premises networks with Azure VNets through VPN gateways or Azure ExpressRoute, enabling seamless hybrid connectivity and data exchange.
Designed and implemented monitoring and automation solutions by integrating Grafana dashboards with Prometheus for real-time visualization of Azure infrastructure metrics. Orchestrated through Git Actions for seamless CI/CD pipelines, including infrastructure provisioning, application deployment, and performance optimization.
Enabled Azure Network Watcher to monitor and diagnose network performance, troubleshoot connectivity issues, and optimize network resources.
Configured Azure Monitor to capture and consolidate telemetry data from various Azure resources, including virtual machines, databases, and applications.
Configured Azure Log Analytics to ingest and analyze logs from various Azure sources, enabling comprehensive log-based monitoring and troubleshooting as part of the DevSecOps strategy.
For DevSecOps Collaborated with the observability team to ensure seamless integration of Azure Monitor with Splunk and Dynatrace to collect, index, and visualize Azure telemetry data, enabling real-time insights into application and infrastructure performance.
Managed Azure Container Registry to store private Docker images and used Azure pipelines to build, test, and deploy.
Deployed Dynatrace for real-time application insights, Splunk for log analysis, and Grafana for dynamic dashboards.
Automated infrastructure monitoring setup and integrated tools for proactive issue detection and incident response.
Optimized performance through detailed analysis, collaborated with teams and provided training on monitoring tools.
Documented architectures, configurations, and best practices for effective Azure monitoring solutions.
Implemented PowerShell Remoting and generated many PowerShell scripts to aid the Security Team's management of AD.
Collaborated with cross-functional teams to align high-availability configurations with application requirements.
Documented and communicated high availability and disaster recovery procedures, fostering effective teamwork.
Verizon, Cary, NC, USA
Duration:
Dec 2020 – May 2022
Azure Cloud Infrastructure Engineer
Key Responsibilities:
Configured Azure App Services, Azure App Service Environment, Azure Function App, Azure Application Insights, Azure Application Gateway, and Azure DNS, using ARM templates and Azure DevOps YAML pipelines.
Created Network Security Groups to filter the traffic and Azure Resources by configuring the inbound and outbound rules and associating them with subnet and network interfaces through PowerShell scripts Creating Azure Key Vault to store Certificates, Secrets, and Keys.
Designed Azure Automation Accounts, Graphical runbooks, and PowerShell runbooks to automate specific tasks. Migrated on-prem AD to Azure AD using Azure AD Connect.
Worked on Site-to-site & Point-to-Site VPNs, Virtual Networks, Network Security Groups, Load balancers, and Storage Accounts. Configured RBAC and Azure Monitor for adding security in Azure Cloud and Network Security Groups for Subnet and NIC level for Azure Virtual Machine.
Provisioned Azure resources such as Compute, Network, and Application Gateway while maintaining dev, test, staging, and production environments using Azure ARM templates.
Created CI/CD pipelines for .NET, Nodejs, and Python Apps in Azure DevOps by integrating source codes GitHub, VSTS, and artifacts.
Orchestrated effective release management strategies within Azure DevOps, including deployment and rollback procedures, resulting in smooth and reliable software releases.
Integrated robust testing strategies into Azure DevOps pipelines, enhancing code quality and enabling early issue identification.
Ensured compliance with security best practices by implementing policies and controls within Azure DevOps, contributing to a secure software development lifecycle.
Wrote several Playbooks and created various roles for applications using Ansible and deployed the Applications/Services on the client hosts.
Automated Builds using Subversion (SVN), Maven, and Visual Studio as part of continuous integration.
Developed Ansible playbooks, inventories, and custom playbooks in YAML encrypted the data, using Ansible Vault, and maintained role-based access control by using Ansible Tower. Implemented IT orchestration using Ansible to run tasks in a sequence that can work on different servers.
Expert on Serverless services, created and configured HTTP Triggers in the Azure Functions with application insights for monitoring and performing load testing on the applications using the Azure DevOps Services.
Created deployment areas such as development, testing, quality assurance, and production environment in Azure Kubernetes Services (AKS) cluster and configured App Insights, Prometheus, and Grafana dashboard for analysis.
Managed Kubernetes charts using Helm, and created reproducible builds of the Kubernetes applications, managed Kubernetes deployment and service files, and managed releases of Helm packages.
Experience in Kubernetes sigs projects such as CAPI/ CAPZ deployed machines in Azure, automatically scaled virtual machines, and performed recycling for machine upgrades.
Responsible for implementing containerized applications on Azure Kubernetes by using Azure Kubernetes Service (AKS), and Kubernetes cluster, which is responsible for cluster management, virtual network to deploy agent nodes, ingress API gateway, MySQL databases, and cosmos DB for stateless storage of external data, and set up reverse proxy Nginx in the cluster.
Created dashboards in Azure DevOps for ci/cd pipelines, work items, and bugs, Identified and logged defects in Azure DevOps, and interacted with developers to prioritize the issues.
Deployed on-premises Kubernetes cluster using kubeADM and was responsible for performing cluster upgrades and chart upgrades.
Migrated legacy applications running in virtual machines into Kubernetes cluster using kubeVirt and ran application along with other microservices in Kubernetes.
Integrated Istio and Helm packages with Kubernetes clusters for the Service Mesh. Deployed Flux in Kubernetes Cluster for continuous delivery of Helm Charts.
Created Azure Infrastructure using ARM templates, and Azure Pipelines to build, test, release, and managed Azure Container Registry to store private Docker images which are deployed to Grafana to collect metrics and logs.
Configured Azure Role-based Access Control (RBAC) to increase the granularity of access management to segregate duties within our team and grant only the amount of access to users that they need to perform their jobs.
Experienced in Azure Log Analytics to receive events from a range of other Azure services providing a holistic view of diagnostic logging data across customer architectures.
Implemented security auditing, and continuous monitoring of the entire infrastructure as part of DevSecOps strategy to facilitate enhanced compliance and eliminate security breaches/vulnerabilities.
Configured Docker applications that run on multiple containers by utilizing the Docker-Compose tool which uses a file configured in YAML format and used Azure Kubernetes Service to manage containerized applications using its nodes, Config Maps, Selector, Services, and deployed application containers as Pods.
Experienced in Bluegreen Deployment and Canary Deployment in production. Managed Kubernetes cluster in the rollback and rollout methods in the deployment strategies.
Experienced in Azure Kubernetes service to produce production-upgrade Kubernetes that allow enterprises to reliably deploy and run containerized workloads across private and public clouds.
Worked on Azure Site Recovery (ASR) for migrating on-premises physical servers and VMware into the Azure environment and disaster recovery options. Worked on the creation and maintenance of Azure resources using a combination of Terraform templates and Azure Resource Manager (ARM) templates.
Deployed Nagios onto Kubernetes cluster as DaemonSet for agent node monitoring, to collect health details of the node. Configured Alerts for critical health cases.
Created Terraform templates for provisioning Azure resources and used Terraform graph to visualize execution plan. Used Terraform to deploy the infrastructure necessary to create development, test, and production environments for software development projects.
Mastercard, St. Louis, USA
Duration:
Nov 2018 – Nov 2020
AWS Cloud Engineer
Key Responsibilities:
Key Responsibilities:
Worked on different AWS services like S3, route53, EFS, EKS, and ECS to manage and maintain the workloads in the EKS cluster. Used different storage services like EBS volumes, EFS, and RDS Aurora in a Kubernetes application as shared and un-shared storage classes.
Used S3 buckets to store data across regions for backup, restore, and disaster recovery purposes.
Used Terraform in AWS Virtual Private Cloud to automatically set up and modify settings by interfacing with the control layer.
Used Terraform for Infrastructure as code to deploy EKS clusters and spin up an agent to access the cluster. Created many AWS services using Terraform to automate the process for higher environments.
Developed many Terraform modules to create IAM roles and policies for different third-party applications and used Kubernetes service accounts to use the roles.
Created a WordPress environment on AWS using Terraform and Ansible, which consists of custom VPC, S3, RDS, EC2, Public and Private subnets, Security Groups, Auto Scaling Groups, ELB, and Route53.
Worked with Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts and managed containerized applications using its nodes.
Deployed Kubernetes Clusters on cloud environments, wrote many YAML files to create many services like pods, deployments, auto-scaling, load balancers, and Managed Kubernetes charts using Helm.
Extensively worked on deploying several third-party applications onto the EKS cluster using helm charts and automated the complete process of building and deploying the charts using Jenkins.
Used Prometheus for Kubernetes integration for service discovery and monitoring of metrics of the application and integrated the Prometheus endpoint into Datadog agent to visualize them.
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