Cloud Engineer Devops

Aravind Reddy. V

Sr. DevOps Cloud Engineer Platform Engineer Cloud Engineer Email: ****************@*****.***

Phone: 682-***-****

www.linkedin.com/in/aravindreddy3339

As a Certified Senior DevOps Cloud Engineer With more than 8 years of experience, I have honed my expertise in cloud technologies, specializing in AWS, Azure, and GCP. My extensive hands-on experience across these platforms enables me to design, implement, and optimize robust and scalable cloud infrastructures tailored to diverse business needs. With a deep understanding of DevOps principles and best practices, I consistently drive efficiency, reliability, and innovation in cloud environments to facilitate seamless software delivery and deployment pipelines.

PROFESSIONAL SUMMARY:

Utilized Azure services like Virtual Machines, Azure Blob Storage, Azure SQL Database, and Azure Virtual Network to design and deploy robust infrastructure solutions that meet performance, scalability, and security requirements for client applications.

Implemented Azure SQL Database for efficient data management, ensuring high performance and scalability for relational database workloads.

Utilized AWS services like EC2, RDS, S3, Azure services like Storage, Web Apps, and GCP services like Compute Engine, and Cloud Storage, showcasing extensive experience across all major cloud providers.

Designed and executed complex AWS migration projects, including lift-and-shift and re-architecting strategies, resulting in seamless transitions with minimal downtime and disruption to business operations.

Experienced in setting up database instances in Amazon Web Services (AWS) using RDS, DynamoDB, storage using S3 bucket and configuring instance backups and archives to Amazon Glacier archives, and configured AWS Redshift for Data Warehousing.

Designed and implemented scalable and resilient GCP infrastructure solutions, utilizing services such as Compute Engine, Cloud Storage, Cloud SQL, and VPC networking to meet performance and availability requirements.

Implement security controls on GCP, including IAM roles and permissions, encryption, and identity management, to protect data and resources.

Managed Docker container clusters on GCP, utilizing Kubernetes for scalable application management.

Experienced in a microservice architecture, utilizing Docker and Kubernetes across multiple cloud platforms for robust application deployment and management.

Designed and implemented a Docker-based containerization strategy for multiple applications, reducing deployment time by 50%.

Skilled in managing Docker images, including tagging, versioning, and optimizing image size for improved performance.

Utilized Kubernetes for the runtime environment of the CI/CD system to build, test, and deploy.

Proficient in integrating Kubernetes with CI/CD pipelines using tools like Jenkins, GitLab CI/CD, and Tekton, for automated building, testing, and deployment of containerized applications.

Skilled in setting up monitoring and logging solutions in Kubernetes using tools like Prometheus, Grafana, and

Elasticsearch, to track cluster performance, troubleshoot issues, and ensure operational visibility.

Specialized in employing Terraform for Infrastructure as Code (IAC) to construct and manage multi-cloud setups

across AWS and Azure.

Integrated Terraform with Python scripting to introduce new features and manage a wide range of resources, improving infrastructure reliability and scalability.

Managed Jenkins plugins, ensuring they are up to date and compatible with project requirements.

Designed and developed Terraform templates to define infrastructure elements such as virtual machines, storage accounts, and networking components in Azure, streamlining deployment processes

Implemented automated tests within Jenkins pipelines to ensure code quality and reliability throughout the development lifecycle.

Conduct performance benchmarking tests on Azure Databricks to evaluate and optimize system performance under different workloads and configurations.

Implemented infrastructure as code (IAC) using Azure Resource Manager (ARM) templates within Azure DevOps pipelines for provisioning and managing cloud resources.

Collaborated with development and operations teams to optimize CI/CD workflows in Azure DevOps, driving efficiency and continuous improvement.

Integrated Terraform with version control systems like Git for collaborative development and code management, enabling versioning and rollback capabilities.

Automated deployment and configuration management of Open TSDB clusters using tools like Ansible, Chef, or Puppet. Implemented Azure DevOps pipelines for continuous integration and continuous deployment (CI/CD), ensuring automated and streamlined application delivery.

Developed, tested, and deployed scalable and high-performance backend services using Golang.

Implemented security features such as ACLs, port security, and DHCP snooping on Nexus devices to enhance network security. Integrated SonarQube into CI/CD pipelines to automate code analysis and enforce quality gates for code commits.

Streamlined system installations, configurations, and deployments across multiple environments using configuration management and automation tools like Chef, Puppet, and Ansible.

Configured Chef Workstations, Created Cookbooks and Recipes, and utilized Ansible playbooks for AWS node management and deployment procedures.

Implemented Azure Data Factory for data integration and orchestration across various data sources and destinations.

Enhanced system administration and infrastructure automation through Python scripting, automating pipelines for

continuous delivery and improving operational efficiencies.

Used Python for various tasks such as creating startup and shutdown scripts, managing highly available EC2 instances, and performing maintenance chores.

Configured the WebSphere/Web logic application server jvm’s with Dynatrace agents and setting up the Dynatrace

setup for the production environment.

Advanced proficiency in utilizing Build Management Tools like Maven and Ant for writing build.xml and pom.xml

and creating deployable artifacts from source code, enhancing development workflows.

Identified and resolving operational issues by extracting and quantifying data, ensuring effective and timely resolution in the production environment, and troubleshooting customer-impacting issues.

Experienced with the GoLang language and integrating various stacks including Java, JavaScript, AJAX, jQuery, AngularJS, ReactJS, NodeJS, Angular, Bootstrap, JSON, XML and Python.

Proficient in managing and troubleshooting Version Control Systems (VCS) including Git, SVN, and GitHub, ensuring optimal performance and reliability of source code repositories.

Orchestrated the setup of infrastructure environments using Terraform, enabling rapid and reproducible deployments for development, testing, and production environments.

Implemented Azure Backup and Azure Site Recovery services to establish robust disaster recovery and backup solutions, ensuring data resilience and business continuity.

TECHNICAL SKILLS:

Operating System

Linux (RedHat 4/5/6/7, CENTOS), Unix, Solaris 11/10/9/8, Ubuntu 12/13/14,

Windows NT, Windows 8, 12, 12R2, MacOS.

Cloud Platforms

AWS, Azure, GCP.

ConfigurationTools

Jenkins, Chef, Ansible, Terraform.

Virtualization Technologies

Windows Hyper-V, VMware ESXi, Virtual Box, vCenter, vSphere, Power VM.

Containerization Tools

Kubernetes, Docker, OpenShift.

PaaS

PCF (Pivotal Cloud Foundry), Open stack.

Application/Web Server

Tomcat, Apache, Application Server, IIS, Oracle WebLogic Server 11g.

CI/CD Deployment pipelines

Azure DevOps, Team city, Git, Jenkins

CI and Build Tools

ANT, Maven, Hudson, Bamboo.

Testing and ticketing tools

SonarQube, Selenium, JIRA, ServiceNow.

Monitoring and Logging Tools

Datadog, Splunk, ELK Stack, CloudWatch, Prometheus, Grafana, Dynatrace.

Version Control Tools

GIT, GitHub, Subversion, Bit-Bucket, CVS.

Scripting

Python, Shell Scripting, Ruby Scripting, Power Shell, YAML Perl, Golang.

Software Development

Java API, Open link Endur.

Database Systems

Oracle, Microsoft SQL, Snowflake, PostgreSQL, Cassandra, MongoDB,

DynamoDB, Cosmos DB Elastic Cache, Open TSDB.

PROFESSIONAL EXPERIENCE:

Pfizer, New York, NY October2023-Present

Sr. DevOps Cloud Engineer:

Responsibilities:

Implemented Docker containers for application packaging and deployment, ensuring consistency and portability across different environments within Azure infrastructure.

Integrated Docker containers with Azure Container Registry (ACR) for secure storage and distribution of container images, facilitating seamless deployment and management.

Developed and maintained infrastructure as code (IAC) templates using Terraform and ARM templates.

Experienced in designing and implementing CI/CD pipelines using Azure DevOps for cloud-native applications, integrating with Azure services like Blob Storage and Monitor for application management.

Optimized and fine-tuned data processing workflows on Azure Databricks to improve performance, reliability, and cost-effectiveness.

Developed automation scripts and templates using Python and YAML to streamline provisioning and configuration of resources, working with Google Cloud Deployment Manager and Terraform for GCP deployments.

Configured monitoring and logging solutions using IaaS and PaaS services, including Nagios, Datadog, New Relic, and Splunk.

Proficient in scripting languages like Bash, Python, PowerShell, and YAML for automation tasks, implementing Git branching strategy and code review processes for version control and collaboration.

Integrated Jira with Azure DevOps for streamlined project management and agile workflows, proficient in

Experienced in Azure Resource Manager (ARM) template development for infrastructure provisioning, and integration of Azure services like Azure Key Vault and Azure Storage into CI/CD pipelines for secure application deployment. Utilized Azure Virtual Networks, Virtual Machines, Resource Groups, and Networking configurations to establish a secure and scalable infrastructure.

Implemented containerization using Docker and orchestrated containers with Kubernetes on Azure Kubernetes Service (AKS) for efficient workload management.

Configured Azure Databricks for distributed data processing, leveraging Spark for analytics and insights generation.

Implemented Infrastructure as Code (IAC) using Terraform and ARM templates for rapid provisioning and management of Azure resources.

Developed and maintained CI/CD pipelines using Azure DevOps for automated application deployment and management. Integrated Docker containers with Azure Container Registry (ACR) and Kubernetes clusters for seamless deployment and scaling.

Configured monitoring and logging solutions using Azure Monitor and Azure Security Center for continuous performance monitoring and threat detection.

Developed robust data processing pipelines on Azure Databricks using Spark for ETL (Extract, Transform, Load)

operations.

Utilized Azure Data Factory, T-SQL, Spark SQL, and U-SQL for data ingestion, processing, and storage in Azure Data Lake, Azure Storage, Azure SQL, and Azure DW.

Implemented streaming data processing using Azure Event Hubs, Azure Stream Analytics, and Apache Kafka for real-time analytics. Developed Rest Api to processes the data from DB to another Rest Service using GoLang.

Design, develop, and optimize Oracle databases, ensuring efficient performance and scalability.

Conduct Oracle application system reviews to identify areas for improvement and optimize application performance and efficiency.

Implemented secure connectivity between on-premise data centers and Azure using VPNs and Azure Security Center for continuous security monitoring.

Configured Azure Active Directory for secure authentication and role-based access control (RBAC) within the Azure environment. Integrated Azure Key Vault and Azure Storage into CI/CD pipelines for secure application deployment and management.

Conducted automated testing using tools like Selenium and performed manual testing as needed to validate system functionality and integrity. Identified and mitigate risks related to data governance, including data breaches, data loss, and regulatory non-compliance.

Managed Azure networking components such as load balancers, NSGs, and application groups for efficient traffic

routing and security.

Developed and maintained interfaces with external systems, such as market data providers, exchanges, and clearinghouses, to facilitate data exchange and integration.

Integrated Jira with Azure DevOps for streamlined project management and agile workflows, ensuring seamless collaboration and communication within the team.

Managed the Dynatrace agents for application servers and Analyzing issue’s using the Dynatrace.

Ensured compliance with data privacy regulations (e.g., GDPR, CCPA) by implementing and maintaining data governance practices that safeguard sensitive information. Analyzed system metrics and logs, setting up alerts for performance degradation or security threats, and taking proactive measures to mitigate risks.

Designed, implemented, and maintained MongoDB database solutions for various projects, ensuring optimal performance, reliability, and scalability.

Developed CI/CD pipelines using Jenkins, GitLab, or Azure DevOps for automated testing, building, and deploying

Snowflake data warehouse configurations and objects.

Configured monitoring solutions using Nagios, Datadog, New Relic, and Splunk for performance monitoring, alerting, and reporting.

Cox Communications, Chicago, IL. January2023-September 2023 Cloud Platform Engineer:

Responsibilities:

proficient in deploying and managing AWS cloud infrastructure services such as VPC, EC2, S3, EBS, IAM, ELB, CloudFormation, and CloudWatch.

Expertized in designing adaptable and cost-efficient cloud solutions on AWS and GCP platforms, ensuring optimal resource utilization.

Led migrating legacy web applications to AWS, enhancing operational efficiency by leveraging services like RDS, S3, and EC2. Automated infrastructure setup using AWS CloudFormation and GCP Deployment Manager, streamlining resource provisioning.

Implemented GKE on GCP using Terraform, Gitlab-Jenkins integration, and service account creation for efficient cloud deployment. Ensured compliance with security standards like GDPR and HIPAA, configuring IAM policies and permissions on AWS.

integrated Azure Databricks with Azure Data Lake Storage for scalable data storage and processing capabilities. Deployed serverless applications using AWS Lambda and Google Cloud Functions, reducing the need for server management.

Configured GCP Firewall rules and CDN to optimize traffic flow and enhance user experience.

Configured high-availability setups and CI/CD pipelines using Ansible and Docker/Kubernetes.

Developed YAML configurations for defining CI/CD pipelines, Docker Compose files, and Kubernetes manifests.

Lead the design, development, and implementation of scalable and efficient data science and data engineering solutions using Databricks and related technologies. Design data processing pipelines that can handle large volumes of data while maintaining performance and reliability.

Automated Docker container deployment and management tasks using scripts and automation tools.

Implemented Docker Swarm on AWS and GCP for container orchestration in smaller-scale deployments.

Orchestrated Kubernetes clusters on AWS (Amazon EKS) and GCP (GKE), ensuring scalability and reliability.

Configured persistent storage solutions like AWS EBS and GCP persistent disks in Kubernetes for data persistence.

Integrated monitoring tools like Prometheus, Grafana, and ELK Stack with Kubernetes for enhanced observability.

Implemented Ansible for infrastructure automation and dynamic inventory management across AWS and GCP.

Leveraged Ansible Galaxy and community-contributed roles for accelerated development tasks.

Conducted periodic reviews and assessments of Snowflake configurations and deployments to ensure adherence to security, compliance, and performance standards.

Managed fault-tolerant infrastructure using Terraform and Ansible, ensuring high availability of services.

Utilized Terraform for infrastructure as code (IAC), enabling faster deployments and improved consistency.

Developed Python scripts for automating Terraform plans and Ansible playbooks, enhancing operational efficiency. Integrated Jenkins with Terraform and Ansible for automated infrastructure provisioning within CI/CD pipelines. Stayed updated with industry trends and best practices in cloud computing and IAC.

Implemented automated deployment processes through Jenkins pipelines for consistent application deployments.

monitored integrations with Datadog, AWS CloudWatch, and GCP Monitoring for proactive issue resolution.

Created Scatter Plots, Stacked Bars, Box and Whisker plots using reference, Bullet charts, Heat Maps, Filled Maps and Symbol Maps according to deliverable specifications.

Performed end-to-end delivery of pyspark ETL pipelines on Azure-data bricks to perform the transformation of data orchestrated via Azure Data Factory (ADF) scheduled through Azure automation accounts and trigger them using Tidal Schedular.

Created multiple Dynatrace dashboards for different applications/Infrastructure with specific level of metrics.

Proficient with Azure Data Lake Services (ADLS), Databricks & iPython Notebooks formats, Databricks Delta lakes & Amazon Web Services (AWS).

Worked with Data Engineers and Data Scientists to help and understand the gaps between the Product Integrity Datasets and Digital Manufacturing by leveraging the Advanced Analytics.

Utilized Git branches and pull requests for integration testing and codebase management.

Managed GCP services like Compute Engine, Cloud Storage, and Cloud SQL for scalable infrastructure.

Configured GCP Firewall rules and cloud CDN to optimize traffic and enhance user experience.

Designed GKE clusters and managed environments using Terraform for consistency.

Created Jenkins pipelines for automated builds, testing, and deployments across multiple environments.

Deployed and monitored scalable infrastructure on AWS using services like EC2, S3, and CloudFormation.

Managed AWS infrastructure as code using Terraform and CloudFormation for high availability.

Implemented cloud migration strategies and best practices using AWS services like DMS and SMS.

Ensured monitoring and alerting of production servers/storage using AWS CloudWatch/Splunk for proactive management. Experienced writing data APIs and multi-server applications to meet product needs in GoLang. Created RPC-based service for reading large volume of data from PostgreSQL using GoLang.

Implemented data migration strategies and best practices for transferring data into Snowflake from various sources, ensuring data integrity and accuracy. Served as the senior subject matter expert and technical lead for Oracle database technologies, providing guidance and support to team members.

Monitoring database performance using Oracle Enterprise Manager (OEM) or other monitoring tools to identify bottlenecks, resource contention, and performance issues.

Implemented and configured Nagios monitoring solutions to monitor the health and performance of critical

Monitored and optimized Kubernetes cluster performance using tools like Prometheus and Grafana, ensuring efficient resource utilization and proactive issue resolution.

Provisioned highly available EC2 instances using Terraform and cloud formation. Designed AWS CloudFormation

templates for creating custom-sized VPCs and IAM policies.

Orchestrated Docker containers using Kubernetes for deployment, scaling, and management. Developed Docker images and managed Docker containers for testing applications in QA environments.

Implemented Ansible for configuration management, automation, and server provisioning. Developed build and deployment scripts using Maven and Jenkins for seamless CI/CD processes. Built and maintained ELK stack for centralized log collection and monitoring of applications.

Implemented and managed MongoDB clusters, including replication, sharding, and failover configurations to ensure high availability and disaster recovery.

Leaded change management efforts to drive adoption of data governance policies and practices throughout the organization.

Albertsons, Pleasanton, CA (Offshore – Hyderabad). December2020-July2022

DevOps Cloud Engineer:

Responsibilities:

Successfully migrated multi-tier applications from AWS to Azure, optimizing cloud resources and scalability.

Managed the migration of AWS RDS databases to Azure SQL Database, leveraging advanced data management capabilities to enhance performance.

Leveraged AWS CloudFormation and Azure Resource Manager (ARM) templates to automate the provisioning and configuration of infrastructure resources.

Implemented AWS Identity and Access Management (IAM) and Azure Active Directory (AAD) for secure authentication and authorization across hybrid cloud environments.

Utilized AWS Lambda and Azure Functions for serverless computing, optimizing resource utilization and reducing operational overhead.

Employed AWS Elastic Compute Cloud (EC2) instances and Azure Virtual Machines (VMs) to deploy and scale application workloads based on dynamic demand patterns.

Configured AWS Elastic Load Balancing (ELB) and Azure Load Balancer for efficient traffic distribution and high availability of applications.

Orchestrated containerized applications using Amazon Elastic Container Service (ECS) and Azure Kubernetes Service (AKS) for improved scalability and resource utilization.

Implemented AWS Relational Database Service (RDS) and Azure SQL Database to manage relational databases, ensuring data integrity and high availability.

Designed and implemented automated process of build and deployment for various .Net and Java applications using various tools as per the needs of projects which includes TFS, GIT, Jenkins and Anthill pro.

Experienced in web development, application development using Visual Studio.NET technologies like C#, ASP.NET MVC 5, ASP.NET, ADO.NET, XML, Web Services, WCF, and WPF.

Experienced in developing Client/Server Applications on Three Tier Architecture, N-Tier Architecture, SOA

(Service-oriented Architecture), MVC (Model View Controller).

Managed C#.NET as language to develop code behind business logic. Managed Web services using C# to interact with the other applications and exposed them using SOAP and HTTP.

Developed REST based Web API to interact with entity framework.

Designed the UI using the Html, AngularJs, JavaScript, CSS3, Bootstrap, and JQuery. Involved in Conversion of classic ASP web application to latest ASP.NET MVC5 and Angular JS.

Established automated deployment pipelines using AWS Code Pipeline and Azure DevOps, streamlining the continuous integration and delivery (CI/CD) process.

Designed, develop, and maintain infrastructure code using Terraform to provision and manage infrastructure resources such as virtual machines, networks, storage, and more.

Implemented automated processes for provisioning development, testing, staging, and production environments using

Terraform, ensuring consistency across different environments.

Monitored Snowflake usage and performance metrics using Snowflake's native monitoring tools or third-party monitoring solutions like Prometheus and Grafana.

Integrated AWS CloudWatch and Azure Monitor for centralized logging, monitoring, and performance analysis of cloud resources. Implemented AWS CloudTrail and Azure Monitor Logs for auditing and compliance monitoring, ensuring adherence to regulatory requirements.

Leveraged AWS S3 and Azure Blob Storage for cost-effective and scalable object storage solutions, optimizing data management workflows.

Designed disaster recovery strategies using AWS Backup and Azure Site Recovery, ensuring business continuity and data resilience across cloud environments.

Conducted comprehensive cost analysis using AWS Cost Explorer and Azure Cost Management, optimizing cloud spending and resource utilization.

Implemented AWS Route 53 and Azure DNS for domain management and DNS resolution, ensuring reliable and scalable access to cloud services.

Configured AWS VPC (Virtual Private Cloud) and Azure Virtual Network (VNet) to establish secure network connectivity and isolation for cloud resources.

Utilized AWS Direct Connect and Azure ExpressRoute for dedicated, high-speed connections between on-premises data centers and cloud environments.

Integrated AWS Code Deploy and Azure DevOps Release Pipelines for automated application deployment and configuration management.

Designed and implemented automated process of build and deployment for various .Net and Java applications using various tools as per the needs of projects which includes TFS, GIT, Jenkins and Anthillpro.

Collaborated with development teams to refactor applications for cloud-native architectures, leveraging AWS Lambda

and Azure Functions for event-driven processing.

Implemented AWS API Gateway and Azure API Management for building, securing, and managing APIs to facilitate seamless communication between microservices.

Leveraged AWS CloudFormation Stack Sets and Azure Resource Manager Templates for managing infrastructure as code across multiple AWS and Azure regions.

Conducted performance testing and optimization using AWS CloudWatch Insights and Azure Monitor Metrics, identifying bottlenecks and optimizing resource utilization.

Implemented AWS Transit Gateway and Azure Virtual WAN for centralized network connectivity and management across distributed cloud environments.

Utilized AWS Key Management Service (KMS) and Azure Key Vault for secure storage and management of encryption keys and secrets.

Implemented AWS Config and Azure Policy for enforcing compliance policies and ensuring adherence to security best practices across cloud resources.

Collaborated with stakeholders to define migration strategies, including rehosting, replat forming, or refactoring applications based on business requirements and constraints.

Implemented AWS Service Catalog and Azure Resource Manager Templates for standardized deployment and governance of cloud resources.

Conducted thorough dependency analysis of existing AWS services and corresponding Azure equivalents to ensure seamless compatibility and functionality post-migration.

Implemented AWS CloudTrail and Azure Security Center for real-time threat detection, incident response, and compliance management across cloud environments.

Utilized AWS Systems Manager and Azure Automation for centralized management and automation of administrative tasks and configuration management.

Designed and implemented disaster recovery drills and failover tests using AWS Cloud Endure and Azure Site Recovery, ensuring minimal downtime and data loss.

Integrated AWS Secrets Manager and Azure Key Vault with CI/CD pipelines for secure and automated management of sensitive credentials and configuration data.

Implemented AWS Step Functions and Azure Logic Apps for orchestrating complex workflows and automating business processes across cloud services.

Collaborated with security teams to implement AWS Security Hub and Azure Security Center policies for continuous compliance monitoring and remediation.

Developed custom scripts and automation workflows using AWS CLI, AWS SDK, Azure CLI, and Azure PowerShell to streamline repetitive tasks and enhance productivity.

Collaborated with AWS and Azure support teams to troubleshoot and resolve complex technical issues and performance bottlenecks during migration and post-migration phases.

Conducted performance and scalability testing using AWS Load Testing Tools and Azure Load Testing Services to ensure applications meet performance requirements under various loads.

Implemented AWS Transit Gateway Connect and Azure Virtual WAN Hub-to-Hub connectivity for simplified and scalable connectivity between multiple cloud regions and on-premises locations.

Monitored the JVM’s and applications in production environment using the tools like Dynatrace and Splunk.

Utilized AWS CloudWatch Logs Insights and Azure Log Analytics for advanced log management and analysis, enabling proactive troubleshooting and performance optimization.

Implemented AWS Transit Gateway Network Manager and Azure Virtual WAN Hub-to-Spoke connectivity for simplified network architecture and centralized management of connectivity across multiple regions.

Integrated AWS Config Rules and Azure Policy Initiatives for automated enforcement of security and compliance policies, ensuring continuous governance of cloud resources.

Conducted cost optimization reviews using AWS Cost Explorer and Azure Cost Management, identifying opportunities to right-size resources and optimize spending without sacrificing performance.

Implemented AWS Certificate Manager and Azure App Service Certificates for secure SSL/TLS certificate management and encryption of data in transit.

Leveraged AWS Direct Connect Gateway and Azure Virtual Network Gateways for secure and reliable connectivity between cloud regions and on-premises data centers.

Implemented AWS Organizations and Azure Management Groups for centralized management and governance of multiple AWS and Azure accounts, streamlining administrative tasks and enforcing policies.

Utilized AWS Code Artifact and Azure Artifacts for artifact management and dependency resolution, ensuring consistency and reproducibility in software builds and deployments.

Integrated AWS Lambda Edge and Azure CDN for edge computing and content delivery, improving the performance and scalability of web

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