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Atul (RID : 210ulozh0792)

designation   AWS DevOps Engineer

location   Location : Gurgaon

experience   Experience : 4 Year

rate   Rate: $9 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 0
Total Views : 84
Key Skills
AWS DevOps UNIX GitHub Jenkins
Discription

ProjectName:Awsdevopsinfrastructureautomationwithterraform

Tenure:June2019toSep 2020

Objective:automatetheprovisioninganddeploymentofawebapplicationinfrastructureonawsusingterraform.

 

Outcome:successfullyprovisionanawsvpc,ec2instances,anapplicationloadbalancer,andanrdsdatabaseinstance using terraform. Deploy a sample web application on the infrastructure.

ProjectStructure:

  • main.tf:definestheawsproviderandresourcestobeprovisioned.
  • Variables.tf:containstheinputvariablesusedintheterraformconfiguration.
  • Terraform.tfvars:storesthevaluesforinputvariables.
  • Output.tf:definestheoutputvariablestobedisplayedafterprovisioning.

 

  • Ec2-instance.tf:configurestheec2instanceresource.
  • Alb.tf:configurestheapplicationloadbalancerresource.
  • Rds.tf:configurestherdsdatabaseinstanceresource.
  • Userdata.sh:userdatascriptforec2instanceconfiguration.

ProjectSteps:

 

  • Definetherequiredawsproviderinmain.tf.
  • Configurethevpc,subnets,securitygroups,andothernetworkingresources.
  • Definetheec2instanceresourceinec2-instance.tf,includinginstancetype,ami,keypair,securitygroups,anduser data script.
  • Configuretheapplicationloadbalancer(alb)resourceinalb.tf,includinglistener,targetgroup,andsecurity groups.
  • Definetherdsdatabaseinstanceresourceinrds.tf,includingengine,instancetype,storage,username,and password.
  • Configureoutputvariablesinoutput.tftodisplayrelevantinformationafterprovisioning.
  • Createvariables.tftodefineinputvariablesfortheproject.
  • Createaterraform.tfvarsfiletoprovidevaluesfortheinputvariables.
  • Runterraforminittoinitializetheterraformproject.
  • Runterraformplantoreviewtheexecutionplanandverifyresourcecreation.
  • Runterraformapplytoprovisiontheinfrastructure.
  • Oncetheinfrastructureisprovisioned,deploythesamplewebapplicationontheec2instances.Verifythe application's accessibility via the alb endpoint.
  • Runterraformdestroytoteardowntheinfrastructurewhenitisnolongerneeded.

ProjectName:deploykubernetesapplicationusingawsterraform

Tenure:Nov2020toOct2022

 

ProjectDescription:theprojectaimstoautomatethedeploymentofkubernetesapplicationsonawsusingterraform.It will provision the necessary infrastructure, set up a kubernetes cluster, and deploy a sample application.

ProjectSteps:

  • provisioninfrastructure:useterraformtoprovisionawsresourcessuchasvpc,subnets,securitygroups,andec2 instances.Configurenetworkingandsecuritysettingstoensurecommunicationbetweentheclusterandotherawsservices.

 

  • Setupkubernetescluster:useterraformtodeployakubernetesclusterusingtoolslikeamazonelastickubernetes service (eks) or self-managed kubernetes. Configure the necessary components like the control plane, worker nodes, and networking.

 

  • Deployapplication:containerizeyourapplicationusingdocker.Createkubernetesmanifests(yamlfiles)todefine the deployment, services, and other resources needed for your application. Use terraform to deploy the application manifests to the kubernetes cluster.
  • Implementci/cd:setupaci/cdpipelineusingtoolslikeawscodepipelineorjenkins.Configurethepipelineto automatically build, test, and deploy the application whenever changes are made to the source code.
  • Monitoringandlogging:configuremonitoringandloggingsolutionslikeawscloudwatch,prometheus,orelkstack tomonitortheclusterandapplicationperformance.Implementalertsanddashboardstotrackthehealthandmetrics of the kubernetes cluster and application.

 

ProjectName:Awsdevopsdockerproject

Tenure:Nov2022totill(ongoing)

 

ProjectDescription:inthisproject,idesignedandimplementedanend-to-enddevopsworkflowusingawsservicesand docker. The goal was to showcase my skills in containerization, infrastructure automation, and continuous deployment

 

usingindustrybestpractices.Theprojectinvolvedsettingupascalableandautomateddeploymentpipelineforasample application using docker containers.

 
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