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Sandeep
Sandeep.n9001@gmail.com
248-924-0429
Atlanta Bmc, GA 31197
Sr. DevOps/Cloud Engineer
7 years experience C2C
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Summary

Sr. DevOps/Cloud Engineer having 7 years of experience in IT Industry comprising of Linux Administration, Cloud Computing-Amazon Web Services (AWS), Azure, Build and Release, Configuration Management, Continuous Integration/Continuous Deployment, Micro-services, and performed end-to-end automation using DevOps strategies.

  • Expertise in Designing, Configuring and Maintaining the Private and Public cloud infrastructures through Amazon Web Services such as EC2, Elastic Load-balancers, Elastic Container Service, S3 Buckets, Elastic Beanstalk, Cloud Front, Elastic File System, RDS, Dynamo DB, DMS, VPC, Direct Connect, Route53, Cloud Watch, Cloud Trail, Cloud Formation, IAM, EMR and Elastic Search.
  • Managing Amazon instances by taking AMIs and performing administration and monitoring of Amazon instances using Amazon Cloud Watch.
  • Experience in DevOps tools like Chef in provisioning AWS machines and setting up instances behind Elastic Load Balancer in AWS for high availability.
  • Used Amazon IAM to grant fine access of AWS resources to users and also managed roles and permissions of users to AWS account through IAM.
  • Expertise in writing Lambda scripts for serverless based architectures and Individual task-based process engines.
  • Worked on setting up DynamoDB, kinesis streams, lambda triggers, IAM roles, Glue jobs using CloudFormation.
  • Expertise in using Microsoft Azure solutions like Azure CLI, Azure Management Portal, Azure PowerShell, Azure Service Fabric, AKS, Azure AD, Key vault etc.
  • Extensively worked with Scheduling, deploying, managing container replicas onto a node using Kubernetes and experienced in creating Kubernetes clusters work with Helm-charts running on the same cluster resources.
  • Experience in Implementing a production ready, highly available, fault tolerant Kubernetes infrastructure. Working on Scheduling, deploying and managing container replicas on a node cluster using Kubernetes. Docker container service and Dockerized applications by creating Docker images from Docker file.
  • Written Cloud Formation Templates (CFT) in JSON and YAML format to build the AWS services with the paradigm of Infrastructure as a Code.
  • Expertise in working with UC deploy for automated deployments.
  • Extensively worked on Jenkins for continuous integration and for End-to-End automation for all build and deployments also integrated with GIT using poll SCM.
  • Development Life Cycle (SDLC) and Methodologies Validations to ensure the Quality Assurance Control.
  • Expertise in handling Bug tracking tools like JIRA, Bugzilla and HP Quality center.
  • On call support for 24/7 troubleshooting production issues.
  • Good analytical, problem solving, communication skills and have the ability to work either independently with little or no supervision or as a member of a team. working on Puppet Master and Puppet Agents. Defined Puppet Master and Puppet Agents to manage and configure nodes.
  • Created and wrote shell scripts (Bash), Ruby and Python for automating tasks.
  • Carried automated Deployments and builds on various environments using continuous integration (CI) tool Jenkins.
  • Managing and optimize the Continuous Integration (CI) using Jenkins, Bamboo and troubleshoot the deployment build issues using the trigged logs.
  • Analyze and resolve conflicts related to merging of source code management tools like GIT, Subversion (SVN) and BitBucket.
  • Used Git for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools like Maven and Ant.
  • Worked on build tool like Maven to create Artifacts (.war & .Jar) by using Pom.xml files, which is integrated to Jenkins.
  • Development of Splunk Queries to generate the Report and Notifications in Linux Servers and Monitoring the Traffic.
  • Monitored Application and Servers through Nagios, Web Servers Administration on Apache and Nginx.
  • Worked on implementation team to build and engineer servers on Ubuntu and RHEL Linux. Provisioning virtual servers on VMware and ESX servers using vCloud.
  • Migrated the production SQL server schema to the new AWS RDS aurora instance and wrote SQL queries and worked on administration for optimizing and increasing the performance of database.
  • Worked on NoSQL database DynamoDB to process large data documents.
  • Used the JIRA Confluence for bug tracking, creating the dashboard for issues. Newt Global, Chennai, India June 2014
  • Dec 2015 Build & Release Engineer Responsibilities:
  • Implemented & maintained the branching and build/release strategies utilizing Subversion/GIT Administration of Jenkins server
  • Includes Setup of Jenkins, Configure Nightly builds, and parameterized builds and deployment automation.
  • Experienced in Continuous integration and Continuous delivery (CI/CD) by involving in end-to-end pipeline.
  • Setting up and managing Jenkins for UAT and Production environment and creating jobs for each micro service from scratch.
  • Using Build Tool MAVEN for the building of artifacts such as jar & war from source code.
  • Focused on automation integration monitoring and configuration management.
  • Maintained build related scripts developed in ANT, Python and shell. Modified build configuration files including Ant's build.xml.
  • Worked with development team to migrate Ant scripts to Maven.
  • Experienced in authoring pom.xml files, performing releases with the Maven release plugin, Mavenization of Java projects and managing Maven repositories.
  • Configured and maintained Hudson to implement the CI process and integrated the tool with Ant and Maven to schedule the builds.
  • Work with development/testing, deployment, systems/infrastructure and project teams to ensure continuous operation of build and test systems.
  • Implemented continuous integration using Jenkins.
  • Created repositories according the structure required with branches, tags and trunks.
  • Attended sprint planning sessions and

Experience
Sr. DevOps/Cloud Engineer
Information Technology
May 2020 - present
Responsibilities:
  • Created and configured AWS EC2 instances using preconfigured templates such as AMI, RHEL, Centos, Ubuntu as well as used corporate based VM images which includes complete package to run build and test.
  • Written CloudFormation scripts for Lambda Functions, Kinesis, DynamoDB, SQS, S3, KMS, API Gateway, CloudWatch Rules, Fargate, ECS etc.
  • Setup lambda functions using Python Boto3 module to map various AWS services for data transformations and deploying into multiple targets.
  • Written Templates for AWS infrastructure as a code using Terraform to build staging and production environments.
  • Configured RDS instances using Cloud formations and Terraform and used Terraform to map more complex dependencies and identify network issue. Implement infrastructure as code and automate infrastructure and EC2 deployments with Terraform.
  • writing complex python scripts to scrape unstructured data, unstructured to structured data transformation, and responsible for developing, managing and maintaining ETL pipelines to modularize machine learning models.
  • Use multiple data scraping techniques to pull data from internal web-based applications like confluence, databases like oracle, mongodb and load them for further processing.
  • Setup process engines to clean and perform multiple data engineering techniques using complex python libraries like pandas, NumPy, beautiful soup.
  • Wrote testcases using pytest, unittest libraries to test the python code for desired output.
  • Maintain code repositories and their dependencies to support continuous delivery of code, Manage and maintain source code repository in GIT, follow and improve practices of branching, code merge & tagging policies.
  • Build artifacts for applications by following build & setup engineering guidelines, understanding build framework, following best practices for Build and configuring entities & applications as required.
  • Wrote Groovy scripts to implemented multi-branch-pipeline jobs in Jenkins to troubleshoot the build failures at glance.
  • Manage and maintain continuous integration system in Jenkins to automate build and deployment process for applications.
  • Manage and maintain build tools like MSBuild, MAVEN and Gradle for the building of deployable artifacts from using source code.
  • Manage and maintain JFROG Artifactory to deploy build artifacts and retrieve them for consecutive builds.
  • Setup SonarQube code quality tool and integrated it with Jenkins to maintain static and dynamic code analysis.
  • Orchestrated automated deployments using UrbanCode Deploy across the Dev, Test and Prod environments, configured UC Deployments and managed different versions of deployments.
  • Administering various Linux servers as a STO and maintaining distros like Ubuntu, CentOS etc. Also provisioning the servers using Ansible by writing playbooks to setup desired server configuration.
  • Setup middleware application infrastructure by installing Jboss and Tomcat on top of Linux servers.
  • Worked with Ansible Tower to manage Multiple Nodes and Manage Inventory for different Environments and developed YAML Modules for Ansible Customizations.
  • Automated various infrastructure activities like Continuous Deployment, application server setup, stack monitoring using Ansible playbooks.
  • Created Docker images using a Docker file, worked on Docker container snapshots, managing Docker volumes and experienced with Docker container service.
  • experience in writing Helm Charts, Kubernetes yaml files for deployment of microservices into kubernetes clusters.
  • Hosted the containerized applications using Kubernetes and worked with API server, Scheduler, and replica controller in master node to orchestrate the minions using kubelet and Kubeproxy.
  • Configuring Kubernetes cluster to make sure there is enough resource availability for etcd members for making cluster more robust and reliable and taking the regular etcd backups.
  • Monitoring the Kubernetes cluster using Prometheus, setup Prometheus to auto discover targets and colleting metrics from nodes and setup Grafana to pull metrics from Prometheus server for displaying Dashboards.
Ansible Apache Tomcat Artifactory AWS AWS CloudFormation AWS EC2 AWS S3 CentOS Cloudwatch Continuous Deployment Continuous Integration Database Backups Devops Docker Containers ETL Groovy JBOSS Jenkins Linux Maven MongoDB Oracle Python RHEL SonarQube Terraform Ubuntu
Remove Skill
Sr. Cloud/DevOps Engineer
Information Technology
Sep 2019 - May 2020
Responsibilities:
  • Responsible for both python development and creating and maintaining infrastructure in all environments Dev, Test and Prod.
  • Setup lambda functions using python boto3 extensively for calling various AWS resource calls.
  • Worked on containerizing python boto3 code into Docker and eventually deploy the container into AWS ECS Fargate to accomplish tasks longer than 15 minutes to overcome lambda time constraint.
  • Declaring IAM policies using Cloud Formation templates to allow access for one service to another in AWS environments.
  • Setup Athena databases and tables to query data out of S3 buckets for analysts to make use of the data.
  • Configured API Gateway to get Data from Third party companies into S3 buckets, DynamoDB using Lambda Functions with python boto3 as a proxy for API's.
  • Utilized AWS Kinesis streams and DynamoDB streams to provide data in a real time fashion to the third-party teams.
  • Created and configured AWS EC2 instances using preconfigured templates such as AMI, RHEL, Centos, Ubuntu as well as used corporate based VM images which includes complete packages to run build and test in those EC2 Instances.
  • Implemented load balancing for application hosted on EC2 servers to control HTTP and HTTPS traffic within Amazon VPC.
  • Provided highly durable and highly available data by using Amazon S3 (Buckets), versioning, lifecycle policies, and create AMIs for backup.
  • Implemented AWS Autoscaling for EC2 servers for performance optimization and application scaling for multiple resources.
  • Develop and Deploy multiple API's for the purpose to serve multiple methods such as POST, GET, DELETE with lambda/s3 as a proxy.
  • Deployed and managed web services with Nginx, Tomcat, JBOSS servers and Responsible for creating and managing user accounts, security groups, disk space, Process monitoring in Linux/Unix.
  • Instituted Ansible for configuration management and automation across all the environments and wrote Yaml scripts to configure the nodes and managed Ansible Playbooks with Ansible modules, implemented CD automation using Ansible, managing existing servers and automation of build/configuration of new servers and created inventory in Ansible for automating continuous deployment.
  • Manage and maintain continuous integration system in Jenkins to automate build and deployment process for applications.
  • Work with Jenkins opensource tool to build/deploy artifacts and also update the current code in production.
  • Setup SonarQube code quality tool and integrated it with Jenkins to maintain static and dynamic code analysis.
  • Managed and configured the GitHub using Nexus repository to automate the build process and used the same to share snapshots and releases of internal projects.
  • Created manifests in UrbanCode to promote deployments from one environment to another by creating release snapshots.
  • Developed and Implemented kubernetes manifests, helm charts for deployment of microservices into k8s clusters.
  • Use GPU supported docker images to build artifacts and deploy them on to Kubernetes cluster.
  • Implemented networking model for kubernetes cluster using Flannel to establish a traffic transportation between hosts.
  • Designed distributed private cloud system solution using Kubernetes on CoreOS and used it to deploy scale, load balance and manage Pods and to maintain consistent service through containers.
  • Utilize multiple python libraries like boto3, pyspark, bots-edi, jinja2, flatdict, base64 encryption etc.
  • Monitor cloud resources using cloud-watch logs and X-ray services on AWS.
  • Research different options to forecast sales other than LSTM Deep learning models.
Ansible Apache Tomcat AWS AWS CloudFormation AWS EC2 AWS S3 Continuous Deployment Continuous Integration Database Backups Devops Docker Containers JBOSS Jenkins Linux Private Cloud Python SonarQube WebServices
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DevOps Build/Release Cloud Engineer
Information Technology
Oct 2018 - Aug 2019
Responsibilities:
  • Managed AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing (ELB) and Glacier for our Dev, QA and Prod environments.
  • Provided highly durable and highly available data by using Amazon S3 (Buckets), versioning, lifecycle policies, and create AMIs for backup.
  • Hands-on experience in Azure Cloud Services (PaaS & IaaS), Storage, Web Apps, Active Directory, Application Insights, Logic Apps, Data Factory, Service Bus, Traffic Manager, Azure Monitoring, OMS, Key Vault, Visual Studio Online (VSO), Cognitive Services (LUIS) and SQL Azure.
  • Wrote Azure Resource Manager (ARM) Templates in JSON format to implement Solution as a Group and deploy resources and managing, monitoring as well.
  • Creating and configuring Azure Active Directory services for authenticating application in Azure cloud office 365. Configuring Azure Backup Service for taking backup of Azure VM and data of on premise to Azure.
  • Deployed Virtual Machines (VMs) into Azure VNet and have experience in creating various Subnets separately for multiple Tiers.
  • Setup Azure Load balancers to distribute the requests in between VMs and to manage the flow of incoming web traffic and network traffic too.
  • Manage and maintain various scripts like Perl, Shell, and batch in Jenkins to configure the builds.
  • Implemented the build improvements in current infrastructure to enhance the efficient delivery of software.
  • Moved the current Jenkins isolated builds to one-click-builds i.e. multi-branch-pipelines by writing the Jenkinsfile in Groovy script in code branches.
  • Developing Pom.xml and build.gradle for maven and gradle related projects from scratch to execute the builds in Jenkins.
  • Executing the gradle and shell scripts to automate the build process and implemented various methodologies for automation.
  • Designed distributed private cloud system solution using Kubernetes on CoreOS and used it to deploy scale, load balance and manage Pods and to maintain consistent service through containers.
  • Worked on infrastructure with Docker containerization and collaborated with development support teams to setup a continuous delivery environment with the use of Docker. Created Docker images using a Docker file, worked on Docker container snapshots, managing Docker volumes and experienced with Docker container service.
  • Configure ELK stack in conjunction with AWS and using LogStash to export data to AWS S3 buckets.
AWS AWS EC2 AWS S3 Azure Active Directory Azure App Insights Azure Data Factory Azure Resource Manager Database Backups Devops Docker Containers ELK Groovy Jenkins JSON Load Balancing Maven MS Active Directory MS Azure Perl Private Cloud Shell Scripts SQL
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DevOps/Cloud Engineer
Information Technology
Mar 2017 - Oct 2018
Responsibilities:
  • Worked on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites, Caching, SQL, Azure NoSQL, Storage, Network services, Azure Active Directory, API Management, Scheduling, Auto Scaling, and PowerShell Automation.
  • Managed AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing (ELB) and Glacier for Dev, QA and Prod environments.
  • Created snapshots and Amazon machine images (AMI) of the instances for backup and created access Management (IAM) policies for delegated administration within AWS.
  • Implemented and maintained monitoring and alerting of production and corporate servers such as EC2 and storage such as S3 buckets using AWS Cloud Watch.
  • Worked on server less architecture Lambda and configured it to receive events from the S3 buckets.
  • Configured RDS instances using Cloud formations and Terraform and used Terraform to map more complex dependencies and identify network issue. Implement infrastructure as code and automate infrastructure and EC2 deployments with Terraform.
  • Utilized Configuration Management Tool Chef & created Chef Cookbooks using recipes to automate system operations.
  • Written Chef Cookbooks for various DB configurations to modularize and optimize end-product configuration, converting production support scripts to Chef Recipes and server provisioning using Chef Recipes.
  • Installed and configured configuration tool such as Chef Server/workstation and nodes via CLI tools to AWS nodes.
  • Created Docker images using a Docker file, worked on Docker container snapshots, removing images and managing Docker volumes and also virtualized servers in Docker as per QA and Dev-environment requirements and configured automation using Docker containers.
  • Developed Python and Shell scripts for system administration and automation tasks, such as automating tasks like removing old files, taking backups of important files, file transfers among servers, etc.
  • Created the automated build and deployment process for applications, by using Jenkins as CI tool and integrated plugins like GIT, Maven to build CI/CD pipeline.
  • Deployed applications using Jenkins server and troubleshooted build and release job failures, resolve, work with engineers on resolution.
  • Configured SonarQube code quality tool and integrated it with Jenkins. Implemented to analyze code quality metrics, to verify the code standards.
  • Experience in installing, configuring, troubleshooting, maintaining, implementation, and support on various Linux flavors like Red hat Linux, CentOS, and Ubuntu.
  • Expertise in using Routed Protocols: FTP, SFTP, SSH, HTTP, HTTPS and coordinated with the Offshore and Onshore teams for Production Releases.
  • Experience with Oracle and MS SQL Server DB Tasks (DML, DDL Executions, Log Rotations, Table space adjustments, client administration).
  • Worked on Deployment and configuration of ELK stack for log analytics (log pipeline), full text search, application monitoring.
  • Maintained JIRA for tracking and updating project defects and tasks ensuring the successful completion of tasks in a sprint.
AWS AWS EC2 AWS S3 Azure Active Directory CentOS Chef Continuous Deployment Continuous Integration Database Backups Devops Docker Containers ELK FTP Jenkins JIRA Linux Load Balancing Maven MongoDB MS Active Directory MS Azure OpenShift Oracle PowerShell Python Shell Scripts SonarQube SQL SQL Server SSH System Administration Terraform Ubuntu
Remove Skill
DevOps/Cloud Engineer
Information Technology
Jan 2016 - Mar 2017
Responsibilities:
  • Set up preconfigured RHEL5.x and 6.x on local and in the cloud on AWS EC2 and defined AWS Security Groups (IAM) which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances.
  • Written Templates for AWS infrastructure as a code using Terraform to build staging and production environments.
  • Automated various infrastructure activities like Continuous Deployment, application server setup, stack monitoring using Ansible playbooks. Automate infrastructure build-out and systems provisioning using Ansible and Ansible Tower.
  • Used Ansible to manage Web applications, Environments configuration Files, Users, Mount points and Packages.
  • Deployed Puppet for configuration management to existing infrastructure.
  • Developed automation scripting in Python using Puppet to deploy and manage Java applications across Linux servers also created and updated Puppet manifests and modules, files, and packages. Experienced with working on Puppet Master and Puppet Agents. Defined Puppet Master and Puppet Agents to manage and configure nodes.
  • Created and wrote shell scripts (Bash), Ruby and Python for automating tasks.
  • Carried automated Deployments and builds on various environments using continuous integration (CI) tool Jenkins.
  • Managing and optimize the Continuous Integration (CI) using Jenkins, Bamboo and troubleshoot the deployment build issues using the trigged logs.
  • Analyze and resolve conflicts related to merging of source code management tools like GIT, Subversion (SVN) and BitBucket.
  • Used Git for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools like Maven and Ant.
  • Worked on build tool like Maven to create Artifacts (.war & .Jar) by using Pom.xml files, which is integrated to Jenkins.
  • Development of Splunk Queries to generate the Report and Notifications in Linux Servers and Monitoring the Traffic.
  • Monitored Application and Servers through Nagios, Web Servers Administration on Apache and Nginx.
  • Worked on implementation team to build and engineer servers on Ubuntu and RHEL Linux. Provisioning virtual servers on VMware and ESX servers using vCloud.
  • Migrated the production SQL server schema to the new AWS RDS aurora instance and wrote SQL queries and worked on administration for optimizing and increasing the performance of database.
  • Worked on NoSQL database DynamoDB to process large data documents.
  • Used the JIRA Confluence for bug tracking, creating the dashboard for issues.
Ansible AWS AWS EC2 AWS RDS Bamboo Continuous Deployment Continuous Integration Devops Firewall Java Jenkins JIRA Linux Maven MongoDB Nagios Puppet Python RHEL Ruby Scripting Shell Scripts Splunk SQL SQL Server SVN Terraform Ubuntu vcloud VMWare
Remove Skill
Build & Release Engineer
Information Technology
Jun 2014 - Dec 2015
Responsibilities:
  • Implemented & maintained the branching and build/release strategies utilizing Subversion/GIT Administration of Jenkins server
  • Includes Setup of Jenkins, Configure Nightly builds, and parameterized builds and deployment automation.
  • Experienced in Continuous integration and Continuous delivery (CI/CD) by involving in end-to-end pipeline.
  • Setting up and managing Jenkins for UAT and Production environment and creating jobs for each micro service from scratch.
  • Using Build Tool MAVEN for the building of artifacts such as jar & war from source code.
  • Focused on automation integration monitoring and configuration management.
  • Maintained build related scripts developed in ANT, Python and shell. Modified build configuration files including Ant's build.xml.
  • Worked with development team to migrate Ant scripts to Maven.
  • Experienced in authoring pom.xml files, performing releases with the Maven release plugin, Mavenization of Java projects and managing Maven repositories.
  • Configured and maintained Hudson to implement the CI process and integrated the tool with Ant and Maven to schedule the builds.
  • Work with development/testing, deployment, systems/infrastructure and project teams to ensure continuous operation of build and test systems.
  • Implemented continuous integration using Jenkins.
  • Created repositories according the structure required with branches, tags and trunks.
  • Attended sprint planning sessions and daily sprint stand-up meetings.
  • Configured application servers (JBOSS) to deploy the code.
  • Configured plugins for the integration tools to the version control tools.
  • Worked with the developers to configure plugins trough Eclipse to develop the code.
  • Extensively used ANT tool to do the builds, integrated ANT to Eclipse and did local builds.
  • Integrated Apache Maven with Jenkins for the builds as the Continuous Integration process.
  • Build Java code and .NET code on to different Jenkins servers as per the schedule.
  • When required applied patches as per the release process.
  • Maintained JIRA for tracking and updating project defects and tasks.
  • Managed and document all post deployment issues utilizing the Post Deployments Issue Log.
  • Responsible for communicating next steps, deployment schedules, quality assurance, validation and defect tracking/ resolution.
Ant Continuous Integration Eclipse Java JBOSS Jenkins JIRA Maven Python SVN
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Edit Skills
Non-cloudteam Skill
Education
Skills
Continuous Integration
2021
20
Jenkins
2021
20
Maven
2021
19
Python
2021
17
Devops
2021
16
Linux
2021
15
Shell Scripts
2021
15
AWS
2021
14
AWS EC2
2021
14
Continuous Deployment
2021
13
Docker Containers
2021
13
Java
2021
11
SVN
2021
11
Ansible
2021
10
Ant
2017
10
Chef
2018
10
AWS S3
2021
9
PowerShell
2018
9
Private Cloud
2021
8
SonarQube
2021
8
Ubuntu
2021
8
Apache Tomcat
2021
7
Database Backups
2021
7
ELK
2019
7
JBOSS
2021
7
MS Azure
2019
7
Azure Active Directory
2019
6
BaSH
2018
6
CentOS
2021
6
JIRA
2018
6
MS Active Directory
2019
6
Nagios
2017
6
Perl
2021
6
RHEL
2021
6
SQL
2019
6
VMWare
2021
6
WebServices
2020
6
Agile Methodology
2021
5
Bamboo
2017
5
Load Balancing
2021
5
MongoDB
2021
5
Puppet
2017
5
Terraform
2021
5
Artifactory
2021
4
AWS Cloudfront
2017
4
Azure Resource Manager
2019
4
Cloudwatch
2021
4
Groovy
2021
4
IBM WebSphere
2013
4
Oracle
2021
4
Ruby
2018
4
SQL Server
2018
4
System Administration
2018
4
UNIX
2015
4
AWS CloudFormation
2021
3
Azure App Insights
2019
3
Azure Data Factory
2019
3
Citrix
2021
3
Elastic Load Balancer
2018
3
Firewall
2017
3
J2EE
2015
3
JSON
2019
3
Splunk
2017
3
vcloud
2017
3
AWS RDS
2017
2
BEA WebLogic
2015
2
Citrix Provisioning Server
2021
2
Eclipse
2015
2
Elastic Container Service
2015
2
FTP
2018
2
OpenShift
2018
2
Scripting
2017
2
SSH
2018
2
XML
2021
2
AIX
2011
1
AWS Lambda
2017
1
Cisco
2011
1
DHCP
2011
1
Elasticsearch
2017
1
ETL
2021
1
HP QC
2013
1
Hyper-V
2011
1
MySQL
2015
1
Network Monitoring
2012
1
NFS
2011
1
NIS
2011
1
Patch Management
2012
1
Solaris
2012
1
Spring
2015
1
Spring Boot
2015
1
Systems Engineering
2012
1
VPN
2011
1
Windows
2015
1
Windows Server
2011
1
WSUS
2012
1
Cloud Foundry
0
1
Cloud Infrastructure
0
1
DNS
0
1
Elastic Beanstalk
0
1
IIS
0
1
NAT
0
1
Public Cloud
0
1
TCP/IP
0
1
Triggers
0
1