SlideShare a Scribd company logo
1 of 37
Download to read offline
Terraform 101
What’s Infrastructure as Code?
A true story
You are developing a new API
Need an EC2 instance
Easy work - 7 steps
‧ ‧ ‧
humm, time to googling...
After 2 hours of googling...
Need an ELB
Eventually you will get everything work
2 month later
You are releasing the new API to production
‧‧‧‧‧
Agenda
● What is Infrastructure as Code? (IaC)
● History of IaC
● Why IaC?
What is Infrastructure as Code
The process of managing and provisioning computer data centers through
machine-readable definition files.
Rather than physical hardware configuration or interactive configuration tools.
What is Infrastructure as Code - blueprint
What is Infrastructure as Code - 3D printer
History of IaC - the idea
In 2006 specifically, new challenges were brought to the forefront that shook the
technology industry.
The launch of AWS EC2 and the 1.0 version of Ruby on Rails just months before.
With new tools emerging to handle this ever growing field, the idea of Infrastructure
as Code was born.
History of IaC - Continuous Configuration Automation (CCA)
● CFEngine (1993)
● Puppet (2005)
● Chef (2009)
● SaltStack (2011)
● Ansible (2012)
● Otter (2016?)
History of IaC - timeline
● 2011-02-25: Initial release of CloudFormation (AWS)
● 2014-07-28: Initial release of Terraform (HashiCorp)
Why IaC? - value
● Cost (reduction)
● Speed (faster execution)
● Risk (remove errors and security violations)
Why IaC? - cost & speed
● Reduce time costs
○ Change it rapidly
○ Rollback
○ Repeatable (modulize)
● Readability
○ Code as documentation
○ Graph
Why IaC? - risk
● Reduce human error
○ Code review
○ Version control
○ Plan (dry run)
Why IaC? - use cases
● Create different stages
○ test
○ stag
○ prod
● Create similar resources
○ API: EC2 instance group with ELB
○ Thirdparty S3 bucket
○ CloudFront
○ IAM Users
Why IaC - create different stage
● $ ENV=test terraform apply
● $ ENV=stag terraform apply
● $ ENV=prod terraform apply
Why IaC - create infra in different region
● $ AWS_REGION=us-east-1 ENV=prod terraform apply
● $ AWS_REGION=ap-northeast-1 ENV=prod terraform apply
Why IaC - create similar resources
module "kktv-drm" {
source = "./modules/ec2_asg"
name = "kktv-test-drm"
env = "test"
ami = "ami-xxxxxxxx"
instance_type = "t2.medium"
}
Why IaC - create similar resources
module "iam_user_maniacchou" {
source = "./modules/user"
name = "maniacchou"
}
Why IaC - diff
Why not IaC
● Learning curve
○ You need best practice
● It’s not panacea (帕那刻亞)
○ Resource not supported yet
○ Resource cannot be managed
Conclusion
● Agile
● Reduce human error
● Verison control
Live demo?
QA

More Related Content

What's hot

Infrastructure as Code
Infrastructure as CodeInfrastructure as Code
Infrastructure as CodeRobert Greiner
 
Kubernetes Security Best Practices - With tips for the CKS exam
Kubernetes Security Best Practices - With tips for the CKS examKubernetes Security Best Practices - With tips for the CKS exam
Kubernetes Security Best Practices - With tips for the CKS examAhmed AbouZaid
 
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...Amazon Web Services
 
CI-CD Jenkins, GitHub Actions, Tekton
CI-CD Jenkins, GitHub Actions, Tekton CI-CD Jenkins, GitHub Actions, Tekton
CI-CD Jenkins, GitHub Actions, Tekton Araf Karsh Hamid
 
Terraform: An Overview & Introduction
Terraform: An Overview & IntroductionTerraform: An Overview & Introduction
Terraform: An Overview & IntroductionLee Trout
 
Kubernetes
KubernetesKubernetes
Kuberneteserialc_w
 
Amazon EKS - Elastic Container Service for Kubernetes
Amazon EKS - Elastic Container Service for KubernetesAmazon EKS - Elastic Container Service for Kubernetes
Amazon EKS - Elastic Container Service for KubernetesAmazon Web Services
 
Terraform -- Infrastructure as Code
Terraform -- Infrastructure as CodeTerraform -- Infrastructure as Code
Terraform -- Infrastructure as CodeMartin Schütte
 
Open shift 4 infra deep dive
Open shift 4    infra deep diveOpen shift 4    infra deep dive
Open shift 4 infra deep diveWinton Winton
 
Ansible presentation
Ansible presentationAnsible presentation
Ansible presentationSuresh Kumar
 

What's hot (20)

Infrastructure as Code
Infrastructure as CodeInfrastructure as Code
Infrastructure as Code
 
Kubernetes Security Best Practices - With tips for the CKS exam
Kubernetes Security Best Practices - With tips for the CKS examKubernetes Security Best Practices - With tips for the CKS exam
Kubernetes Security Best Practices - With tips for the CKS exam
 
DevOps: Infrastructure as Code
DevOps: Infrastructure as CodeDevOps: Infrastructure as Code
DevOps: Infrastructure as Code
 
Introduction to IAC and Terraform
Introduction to IAC and Terraform Introduction to IAC and Terraform
Introduction to IAC and Terraform
 
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...
Using HashiCorp’s Terraform to build your infrastructure on AWS - Pop-up Loft...
 
infrastructure as code
infrastructure as codeinfrastructure as code
infrastructure as code
 
CI-CD Jenkins, GitHub Actions, Tekton
CI-CD Jenkins, GitHub Actions, Tekton CI-CD Jenkins, GitHub Actions, Tekton
CI-CD Jenkins, GitHub Actions, Tekton
 
Terraform
TerraformTerraform
Terraform
 
Terraform: An Overview & Introduction
Terraform: An Overview & IntroductionTerraform: An Overview & Introduction
Terraform: An Overview & Introduction
 
Kubernetes
KubernetesKubernetes
Kubernetes
 
Amazon EKS - Elastic Container Service for Kubernetes
Amazon EKS - Elastic Container Service for KubernetesAmazon EKS - Elastic Container Service for Kubernetes
Amazon EKS - Elastic Container Service for Kubernetes
 
Final terraform
Final terraformFinal terraform
Final terraform
 
Terraform -- Infrastructure as Code
Terraform -- Infrastructure as CodeTerraform -- Infrastructure as Code
Terraform -- Infrastructure as Code
 
Effective terraform
Effective terraformEffective terraform
Effective terraform
 
Open shift 4 infra deep dive
Open shift 4    infra deep diveOpen shift 4    infra deep dive
Open shift 4 infra deep dive
 
Introduction to Amazon EKS
Introduction to Amazon EKSIntroduction to Amazon EKS
Introduction to Amazon EKS
 
Terraform
TerraformTerraform
Terraform
 
Kubernetes 101
Kubernetes 101Kubernetes 101
Kubernetes 101
 
Terraform Basics
Terraform BasicsTerraform Basics
Terraform Basics
 
Ansible presentation
Ansible presentationAnsible presentation
Ansible presentation
 

Similar to Terraform 101: What's infrastructure as code?

DevOpsDays Taipei 2019 - Mastering IaC the DevOps Way
DevOpsDays Taipei 2019 - Mastering IaC the DevOps WayDevOpsDays Taipei 2019 - Mastering IaC the DevOps Way
DevOpsDays Taipei 2019 - Mastering IaC the DevOps Waysmalltown
 
LCU14 310- Cisco ODP v2
LCU14 310- Cisco ODP v2LCU14 310- Cisco ODP v2
LCU14 310- Cisco ODP v2Linaro
 
CDK Meetup: Rule the World through IaC
CDK Meetup: Rule the World through IaCCDK Meetup: Rule the World through IaC
CDK Meetup: Rule the World through IaCsmalltown
 
Making Service Deployments to AWS a breeze with Nova
Making Service Deployments to AWS a breeze with NovaMaking Service Deployments to AWS a breeze with Nova
Making Service Deployments to AWS a breeze with NovaGregor Heine
 
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)Yohei Onishi
 
Unifying Frontend and Backend Development with Scala - ScalaCon 2021
Unifying Frontend and Backend Development with Scala - ScalaCon 2021Unifying Frontend and Backend Development with Scala - ScalaCon 2021
Unifying Frontend and Backend Development with Scala - ScalaCon 2021Taro L. Saito
 
Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]Kevin Xu
 
KSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success StoryKSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success StoryKristofferson A
 
Bandwidth: Use Cases for Elastic Cloud on Kubernetes
Bandwidth: Use Cases for Elastic Cloud on Kubernetes Bandwidth: Use Cases for Elastic Cloud on Kubernetes
Bandwidth: Use Cases for Elastic Cloud on Kubernetes Elasticsearch
 
Intro to creating kubernetes operators
Intro to creating kubernetes operators Intro to creating kubernetes operators
Intro to creating kubernetes operators Juraj Hantak
 
Déploiement dynamique d'applications OSGi sur le Cloud
Déploiement dynamique d'applications OSGi sur le CloudDéploiement dynamique d'applications OSGi sur le Cloud
Déploiement dynamique d'applications OSGi sur le CloudOSGi User Group France
 
Red Hat Java Update and Quarkus Introduction
Red Hat Java Update and Quarkus IntroductionRed Hat Java Update and Quarkus Introduction
Red Hat Java Update and Quarkus IntroductionJohn Archer
 
Apache Spark Streaming in K8s with ArgoCD & Spark Operator
Apache Spark Streaming in K8s with ArgoCD & Spark OperatorApache Spark Streaming in K8s with ArgoCD & Spark Operator
Apache Spark Streaming in K8s with ArgoCD & Spark OperatorDatabricks
 
Benchx: An XQuery benchmarking web application
Benchx: An XQuery benchmarking web application Benchx: An XQuery benchmarking web application
Benchx: An XQuery benchmarking web application Andy Bunce
 
Profiling & Testing with Spark
Profiling & Testing with SparkProfiling & Testing with Spark
Profiling & Testing with SparkRoger Rafanell Mas
 
Kubernetes Forum Seoul 2019: Re-architecting Data Platform with Kubernetes
Kubernetes Forum Seoul 2019: Re-architecting Data Platform with KubernetesKubernetes Forum Seoul 2019: Re-architecting Data Platform with Kubernetes
Kubernetes Forum Seoul 2019: Re-architecting Data Platform with KubernetesSeungYong Oh
 
Functional APIs with Absinthe GraphQL
Functional APIs with Absinthe GraphQLFunctional APIs with Absinthe GraphQL
Functional APIs with Absinthe GraphQLZvi Avraham
 
Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...
Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...
Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...GetInData
 

Similar to Terraform 101: What's infrastructure as code? (20)

DevOpsDays Taipei 2019 - Mastering IaC the DevOps Way
DevOpsDays Taipei 2019 - Mastering IaC the DevOps WayDevOpsDays Taipei 2019 - Mastering IaC the DevOps Way
DevOpsDays Taipei 2019 - Mastering IaC the DevOps Way
 
LCU14 310- Cisco ODP v2
LCU14 310- Cisco ODP v2LCU14 310- Cisco ODP v2
LCU14 310- Cisco ODP v2
 
CDK Meetup: Rule the World through IaC
CDK Meetup: Rule the World through IaCCDK Meetup: Rule the World through IaC
CDK Meetup: Rule the World through IaC
 
Making Service Deployments to AWS a breeze with Nova
Making Service Deployments to AWS a breeze with NovaMaking Service Deployments to AWS a breeze with Nova
Making Service Deployments to AWS a breeze with Nova
 
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
 
Unifying Frontend and Backend Development with Scala - ScalaCon 2021
Unifying Frontend and Backend Development with Scala - ScalaCon 2021Unifying Frontend and Backend Development with Scala - ScalaCon 2021
Unifying Frontend and Backend Development with Scala - ScalaCon 2021
 
Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]
 
KSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success StoryKSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success Story
 
Bandwidth: Use Cases for Elastic Cloud on Kubernetes
Bandwidth: Use Cases for Elastic Cloud on Kubernetes Bandwidth: Use Cases for Elastic Cloud on Kubernetes
Bandwidth: Use Cases for Elastic Cloud on Kubernetes
 
Intro to creating kubernetes operators
Intro to creating kubernetes operators Intro to creating kubernetes operators
Intro to creating kubernetes operators
 
AMIS Oracle OpenWorld 2015 Review – part 4- PaaS Application Development, Jav...
AMIS Oracle OpenWorld 2015 Review – part 4- PaaS Application Development, Jav...AMIS Oracle OpenWorld 2015 Review – part 4- PaaS Application Development, Jav...
AMIS Oracle OpenWorld 2015 Review – part 4- PaaS Application Development, Jav...
 
Déploiement dynamique d'applications OSGi sur le Cloud
Déploiement dynamique d'applications OSGi sur le CloudDéploiement dynamique d'applications OSGi sur le Cloud
Déploiement dynamique d'applications OSGi sur le Cloud
 
Red Hat Java Update and Quarkus Introduction
Red Hat Java Update and Quarkus IntroductionRed Hat Java Update and Quarkus Introduction
Red Hat Java Update and Quarkus Introduction
 
Apache Spark Streaming in K8s with ArgoCD & Spark Operator
Apache Spark Streaming in K8s with ArgoCD & Spark OperatorApache Spark Streaming in K8s with ArgoCD & Spark Operator
Apache Spark Streaming in K8s with ArgoCD & Spark Operator
 
Benchx: An XQuery benchmarking web application
Benchx: An XQuery benchmarking web application Benchx: An XQuery benchmarking web application
Benchx: An XQuery benchmarking web application
 
Profiling & Testing with Spark
Profiling & Testing with SparkProfiling & Testing with Spark
Profiling & Testing with Spark
 
Google Cloud Dataflow
Google Cloud DataflowGoogle Cloud Dataflow
Google Cloud Dataflow
 
Kubernetes Forum Seoul 2019: Re-architecting Data Platform with Kubernetes
Kubernetes Forum Seoul 2019: Re-architecting Data Platform with KubernetesKubernetes Forum Seoul 2019: Re-architecting Data Platform with Kubernetes
Kubernetes Forum Seoul 2019: Re-architecting Data Platform with Kubernetes
 
Functional APIs with Absinthe GraphQL
Functional APIs with Absinthe GraphQLFunctional APIs with Absinthe GraphQL
Functional APIs with Absinthe GraphQL
 
Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...
Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...
Functioning incessantly of Data Science Platform with Kubeflow - Albert Lewan...
 

Recently uploaded

AIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech studentsAIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech studentsvanyagupta248
 
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptxA CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptxmaisarahman1
 
A Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna MunicipalityA Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna MunicipalityMorshed Ahmed Rahath
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network DevicesChandrakantDivate1
 
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...soginsider
 
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...Arindam Chakraborty, Ph.D., P.E. (CA, TX)
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXssuser89054b
 
Bridge Jacking Design Sample Calculation.pptx
Bridge Jacking Design Sample Calculation.pptxBridge Jacking Design Sample Calculation.pptx
Bridge Jacking Design Sample Calculation.pptxnuruddin69
 
Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . pptDineshKumar4165
 
Computer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to ComputersComputer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to ComputersMairaAshraf6
 
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...HenryBriggs2
 
Unleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leapUnleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leapRishantSharmaFr
 
Introduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaIntroduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaOmar Fathy
 
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTGenerative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTbhaskargani46
 
DeepFakes presentation : brief idea of DeepFakes
DeepFakes presentation : brief idea of DeepFakesDeepFakes presentation : brief idea of DeepFakes
DeepFakes presentation : brief idea of DeepFakesMayuraD1
 
notes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.pptnotes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.pptMsecMca
 
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdfdata_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdfJiananWang21
 
Work-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptxWork-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptxJuliansyahHarahap1
 

Recently uploaded (20)

AIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech studentsAIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech students
 
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptxA CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
 
A Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna MunicipalityA Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna Municipality
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network Devices
 
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
Hazard Identification (HAZID) vs. Hazard and Operability (HAZOP): A Comparati...
 
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
 
Bridge Jacking Design Sample Calculation.pptx
Bridge Jacking Design Sample Calculation.pptxBridge Jacking Design Sample Calculation.pptx
Bridge Jacking Design Sample Calculation.pptx
 
Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
 
Computer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to ComputersComputer Lecture 01.pptxIntroduction to Computers
Computer Lecture 01.pptxIntroduction to Computers
 
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
 
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak HamilCara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
 
Unleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leapUnleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leap
 
Introduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaIntroduction to Serverless with AWS Lambda
Introduction to Serverless with AWS Lambda
 
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTGenerative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPT
 
DeepFakes presentation : brief idea of DeepFakes
DeepFakes presentation : brief idea of DeepFakesDeepFakes presentation : brief idea of DeepFakes
DeepFakes presentation : brief idea of DeepFakes
 
notes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.pptnotes on Evolution Of Analytic Scalability.ppt
notes on Evolution Of Analytic Scalability.ppt
 
Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7
Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7
Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7
 
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdfdata_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdf
 
Work-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptxWork-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptx
 

Terraform 101: What's infrastructure as code?

  • 3. You are developing a new API
  • 4. Need an EC2 instance
  • 5. Easy work - 7 steps
  • 7. humm, time to googling...
  • 8.
  • 9.
  • 10. After 2 hours of googling...
  • 11.
  • 13.
  • 14. Eventually you will get everything work
  • 16. You are releasing the new API to production
  • 18. Agenda ● What is Infrastructure as Code? (IaC) ● History of IaC ● Why IaC?
  • 19. What is Infrastructure as Code The process of managing and provisioning computer data centers through machine-readable definition files. Rather than physical hardware configuration or interactive configuration tools.
  • 20. What is Infrastructure as Code - blueprint
  • 21. What is Infrastructure as Code - 3D printer
  • 22. History of IaC - the idea In 2006 specifically, new challenges were brought to the forefront that shook the technology industry. The launch of AWS EC2 and the 1.0 version of Ruby on Rails just months before. With new tools emerging to handle this ever growing field, the idea of Infrastructure as Code was born.
  • 23. History of IaC - Continuous Configuration Automation (CCA) ● CFEngine (1993) ● Puppet (2005) ● Chef (2009) ● SaltStack (2011) ● Ansible (2012) ● Otter (2016?)
  • 24. History of IaC - timeline ● 2011-02-25: Initial release of CloudFormation (AWS) ● 2014-07-28: Initial release of Terraform (HashiCorp)
  • 25. Why IaC? - value ● Cost (reduction) ● Speed (faster execution) ● Risk (remove errors and security violations)
  • 26. Why IaC? - cost & speed ● Reduce time costs ○ Change it rapidly ○ Rollback ○ Repeatable (modulize) ● Readability ○ Code as documentation ○ Graph
  • 27. Why IaC? - risk ● Reduce human error ○ Code review ○ Version control ○ Plan (dry run)
  • 28. Why IaC? - use cases ● Create different stages ○ test ○ stag ○ prod ● Create similar resources ○ API: EC2 instance group with ELB ○ Thirdparty S3 bucket ○ CloudFront ○ IAM Users
  • 29. Why IaC - create different stage ● $ ENV=test terraform apply ● $ ENV=stag terraform apply ● $ ENV=prod terraform apply
  • 30. Why IaC - create infra in different region ● $ AWS_REGION=us-east-1 ENV=prod terraform apply ● $ AWS_REGION=ap-northeast-1 ENV=prod terraform apply
  • 31. Why IaC - create similar resources module "kktv-drm" { source = "./modules/ec2_asg" name = "kktv-test-drm" env = "test" ami = "ami-xxxxxxxx" instance_type = "t2.medium" }
  • 32. Why IaC - create similar resources module "iam_user_maniacchou" { source = "./modules/user" name = "maniacchou" }
  • 33. Why IaC - diff
  • 34. Why not IaC ● Learning curve ○ You need best practice ● It’s not panacea (帕那刻亞) ○ Resource not supported yet ○ Resource cannot be managed
  • 35. Conclusion ● Agile ● Reduce human error ● Verison control
  • 37. QA