SlideShare una empresa de Scribd logo
1 de 15
Travel & Leisure Platform Dept.
2
RBN
Rakuten Private Cloud Public Cloud
Hardware Provisioning / Management layer
Network Overlay
Storage
Hadoop Bare metal
IaaS
Self Service Portal/APIs Self Service Portal/APIs
OS layer (Kernel tuning)
Data backup & Recovery
Platform management (Exadata, Teradata, Proxy …etc)
Service A Service B Service C Service X
DB schema review, SQL tuning support
VM
Container
Log Storage, Monitoring & Alerting
Web / AP server provisioning
Database provisioning (RDBMS/NoSQL) Toil abolishment & Automation
Travel & Leisure Platform Dept(TLPD)
3
RBN
Rakuten Private Cloud Public Cloud
Hardware Provisioning / Management layer
Network Overlay
Storage
Hadoop Bare metal
IaaS
Self Service Portal/APIs Self Service Portal/APIs
OS layer (Kernel tuning)
Data backup & Recovery
Platform management (Exadata, Teradata, Proxy …etc)
Service A Service B Service C Service X
DB schema review, SQL tuning support
VM
Container
Log Storage, Monitoring & Alerting
Web / AP server provisioning
Database provisioning (RDBMS/NoSQL) Toil abolishment & Automation
DBA DevOps
Travel & Leisure Platform Dept(TLPD)
4
Recent Project
Business Continuity Plan (BCP)
• Multi DC, Multi Cloud
Container-nization
• VM -> K8S
Alert integration
• Manage all alerts by 1 platform
Automation
• Server management, regular work
Life Cycle Management (LCM)
• NAS replace, Oracle DB version upgrade
5
What is Benefit
✓ 機械工学出身だがメーカーと比べると働き方が自由
(フレックスやリモートワークなど)
✓ 部署では色々な技術が使えるのが楽しい。(選定もできる
のが楽しい)
✓ Most of the people want to improve skill / learning.
✓ Trying to very hard push forward.
✓ Not much restriction.
✓ Free Breakfast, Lunch, Dinner !!
21' New grads
20' Joined mid-career
6
Regarding DBA position
7
✓ RDB
✓ NoSQL
✓ KVS
✓ HDFS
Cloud (Public / Private)
Bare Metal / Appliance
To provide best data platform and management as advanced DBA
for Travel & Leisure services
BCP
8
Data Management Group
◆ Long term resource management.
◆ Scale out/up based on load prediction.
◆ Monitoring and Troubleshooting.
◆ Performance tuning.
◆ Version upgrade / Migration.
◆ Backup & Recovery
◆ Provide guidelines for using each DB products.
◆ Making Contingency Plan (BCP).
◆ Verification and evaluation of new architecture.
Role
Responsibility
✓ RDB (Oracle, Exadata, GoldenGate, Timesten, MySQL, ZFS, )
✓ NoSQL (MongoDB, Elasticsearch, Redis)
9
Regarding DevOps position
10
What we do – 1. Infrastructure as Code
Infra Management Config Management Continuous Integration
Terraform Jenkins
Chef & Ansible
11
What we do – 2. Provide platform to Dev and QA
System Monitoring Log Analysis
Support Tool
12
Platform Reliability Group
Role
Responsibility
✓Infrastructure management
✓Platform / Tool / Environment management
◆Long term resource management.
◆Scale out/up based on load prediction.
◆Troubleshooting.
◆Infrastructure consultation.
◆Monitoring / Proxy / Log analysis.
◆Tool management for Developer & QA
◆Provide Server resource.
◆System Log management.
◆Verification and evaluation of new architecture.
13
Person we would like to work with
❖ Always motivated to improve existing process.
❖ Actively communicate with colleagues.
❖ Positive attitude for work.
❖ Quick and positive learner.
Nationality of the engineers : Around 8 countries
Average age : Around 30 years old
Travel & Leisure Platform Department's tech info

Más contenido relacionado

La actualidad más candente

OSC2012Kansai@Kyoto 自宅SAN友の会 - インフラエンジニアなら知っておきたい ストレージのはなし
OSC2012Kansai@Kyoto 自宅SAN友の会 - インフラエンジニアなら知っておきたい ストレージのはなしOSC2012Kansai@Kyoto 自宅SAN友の会 - インフラエンジニアなら知っておきたい ストレージのはなし
OSC2012Kansai@Kyoto 自宅SAN友の会 - インフラエンジニアなら知っておきたい ストレージのはなし
Satoshi Shimazaki
 
Mobage を支える Ruby の技術 ~ 複数DB編 ~
Mobage を支える Ruby の技術 ~ 複数DB編 ~Mobage を支える Ruby の技術 ~ 複数DB編 ~
Mobage を支える Ruby の技術 ~ 複数DB編 ~
Naotoshi Seo
 

La actualidad más candente (20)

楽天サービスを支えるネットワークインフラストラクチャー
楽天サービスを支えるネットワークインフラストラクチャー楽天サービスを支えるネットワークインフラストラクチャー
楽天サービスを支えるネットワークインフラストラクチャー
 
Introduction of Kubernetes - Trang Nguyen
Introduction of Kubernetes - Trang NguyenIntroduction of Kubernetes - Trang Nguyen
Introduction of Kubernetes - Trang Nguyen
 
楽天における大規模データベースの運用
楽天における大規模データベースの運用楽天における大規模データベースの運用
楽天における大規模データベースの運用
 
OSC2012Kansai@Kyoto 自宅SAN友の会 - インフラエンジニアなら知っておきたい ストレージのはなし
OSC2012Kansai@Kyoto 自宅SAN友の会 - インフラエンジニアなら知っておきたい ストレージのはなしOSC2012Kansai@Kyoto 自宅SAN友の会 - インフラエンジニアなら知っておきたい ストレージのはなし
OSC2012Kansai@Kyoto 自宅SAN友の会 - インフラエンジニアなら知っておきたい ストレージのはなし
 
Kinesis + Elasticsearchでつくるさいきょうのログ分析基盤
Kinesis + Elasticsearchでつくるさいきょうのログ分析基盤Kinesis + Elasticsearchでつくるさいきょうのログ分析基盤
Kinesis + Elasticsearchでつくるさいきょうのログ分析基盤
 
Kubernetes環境に対する性能試験(Kubernetes Novice Tokyo #2 発表資料)
Kubernetes環境に対する性能試験(Kubernetes Novice Tokyo #2 発表資料)Kubernetes環境に対する性能試験(Kubernetes Novice Tokyo #2 発表資料)
Kubernetes環境に対する性能試験(Kubernetes Novice Tokyo #2 発表資料)
 
楽天における安全な秘匿情報管理への道のり
楽天における安全な秘匿情報管理への道のり楽天における安全な秘匿情報管理への道のり
楽天における安全な秘匿情報管理への道のり
 
SAP Applicationのソース・エンドポイントとしての利用
SAP Applicationのソース・エンドポイントとしての利用SAP Applicationのソース・エンドポイントとしての利用
SAP Applicationのソース・エンドポイントとしての利用
 
モニタリングプラットフォーム開発の裏側
モニタリングプラットフォーム開発の裏側モニタリングプラットフォーム開発の裏側
モニタリングプラットフォーム開発の裏側
 
Kubernetes Native Infrastructure and CoreOS Operator Framework for 5G Edge Cl...
Kubernetes Native Infrastructure and CoreOS Operator Framework for 5G Edge Cl...Kubernetes Native Infrastructure and CoreOS Operator Framework for 5G Edge Cl...
Kubernetes Native Infrastructure and CoreOS Operator Framework for 5G Edge Cl...
 
Kafkaを活用するためのストリーム処理の基本
Kafkaを活用するためのストリーム処理の基本Kafkaを活用するためのストリーム処理の基本
Kafkaを活用するためのストリーム処理の基本
 
Mobage を支える Ruby の技術 ~ 複数DB編 ~
Mobage を支える Ruby の技術 ~ 複数DB編 ~Mobage を支える Ruby の技術 ~ 複数DB編 ~
Mobage を支える Ruby の技術 ~ 複数DB編 ~
 
Kubernetes Monitoring & Best Practices
Kubernetes Monitoring & Best PracticesKubernetes Monitoring & Best Practices
Kubernetes Monitoring & Best Practices
 
オラクルのDX事例から学ぶ「次世代クラウド・インフラストラクチャとは?」第16回しゃちほこオラクル俱楽部
オラクルのDX事例から学ぶ「次世代クラウド・インフラストラクチャとは?」第16回しゃちほこオラクル俱楽部オラクルのDX事例から学ぶ「次世代クラウド・インフラストラクチャとは?」第16回しゃちほこオラクル俱楽部
オラクルのDX事例から学ぶ「次世代クラウド・インフラストラクチャとは?」第16回しゃちほこオラクル俱楽部
 
Red Hat OpenShift Container Storage
Red Hat OpenShift Container StorageRed Hat OpenShift Container Storage
Red Hat OpenShift Container Storage
 
OpenShift 4, the smarter Kubernetes platform
OpenShift 4, the smarter Kubernetes platformOpenShift 4, the smarter Kubernetes platform
OpenShift 4, the smarter Kubernetes platform
 
WebSphere App Server vs JBoss vs WebLogic vs Tomcat (InterConnect 2016)
WebSphere App Server vs JBoss vs WebLogic vs Tomcat (InterConnect 2016)WebSphere App Server vs JBoss vs WebLogic vs Tomcat (InterConnect 2016)
WebSphere App Server vs JBoss vs WebLogic vs Tomcat (InterConnect 2016)
 
Best Practices for ETL with Apache NiFi on Kubernetes - Albert Lewandowski, G...
Best Practices for ETL with Apache NiFi on Kubernetes - Albert Lewandowski, G...Best Practices for ETL with Apache NiFi on Kubernetes - Albert Lewandowski, G...
Best Practices for ETL with Apache NiFi on Kubernetes - Albert Lewandowski, G...
 
Kubernetes雑にまとめてみた 2020年8月版
Kubernetes雑にまとめてみた 2020年8月版Kubernetes雑にまとめてみた 2020年8月版
Kubernetes雑にまとめてみた 2020年8月版
 
20200721 AWS Black Belt Online Seminar AWS App Mesh
20200721 AWS Black Belt Online Seminar AWS App Mesh20200721 AWS Black Belt Online Seminar AWS App Mesh
20200721 AWS Black Belt Online Seminar AWS App Mesh
 

Similar a Travel & Leisure Platform Department's tech info

Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015
AVI JAIN
 
Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015
AVI JAIN
 

Similar a Travel & Leisure Platform Department's tech info (20)

5 Steps for Migrating Relational Databases to Next-Gen Architectures
5 Steps for Migrating Relational Databases to Next-Gen Architectures5 Steps for Migrating Relational Databases to Next-Gen Architectures
5 Steps for Migrating Relational Databases to Next-Gen Architectures
 
PostgreSQL 10; Long Awaited Enterprise Solutions
PostgreSQL 10; Long Awaited Enterprise SolutionsPostgreSQL 10; Long Awaited Enterprise Solutions
PostgreSQL 10; Long Awaited Enterprise Solutions
 
【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]
【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]
【旧版】Oracle Database Cloud Service:サービス概要のご紹介 [2020年1月版]
 
LALIT-TCS
LALIT-TCSLALIT-TCS
LALIT-TCS
 
Building Analytic Apps for SaaS: “Analytics as a Service”
Building Analytic Apps for SaaS: “Analytics as a Service”Building Analytic Apps for SaaS: “Analytics as a Service”
Building Analytic Apps for SaaS: “Analytics as a Service”
 
Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...
Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...
Ai tour 2019 Mejores Practicas en Entornos de Produccion Big Data Open Source...
 
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017Overview of Oracle Product Portfolio (focus on Platform) - April, 2017
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017
 
Experience sql server on l inux and docker
Experience sql server on l inux and dockerExperience sql server on l inux and docker
Experience sql server on l inux and docker
 
Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)
 
Serverless Data Platform
Serverless Data PlatformServerless Data Platform
Serverless Data Platform
 
Cloud State of the Union for Java Developers
Cloud State of the Union for Java DevelopersCloud State of the Union for Java Developers
Cloud State of the Union for Java Developers
 
【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]
【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]
【旧版】Oracle Autonomous Database:サービス概要のご紹介 [2020年8月版]
 
Solutions for bi-directional integration between Oracle RDBMS & Apache Kafka
Solutions for bi-directional integration between Oracle RDBMS & Apache KafkaSolutions for bi-directional integration between Oracle RDBMS & Apache Kafka
Solutions for bi-directional integration between Oracle RDBMS & Apache Kafka
 
Aneez Hasan_Resume
Aneez Hasan_ResumeAneez Hasan_Resume
Aneez Hasan_Resume
 
Engineering practices in big data storage and processing
Engineering practices in big data storage and processingEngineering practices in big data storage and processing
Engineering practices in big data storage and processing
 
OpenStack Online Meetup
OpenStack Online MeetupOpenStack Online Meetup
OpenStack Online Meetup
 
What is Trove, the Database as a Service on OpenStack?
What is Trove, the Database as a Service on OpenStack?What is Trove, the Database as a Service on OpenStack?
What is Trove, the Database as a Service on OpenStack?
 
Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015
 
Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015Avi Jain - Resume Descriptive 2015
Avi Jain - Resume Descriptive 2015
 
Brk2051 sql server on linux and docker
Brk2051 sql server on linux and dockerBrk2051 sql server on linux and docker
Brk2051 sql server on linux and docker
 

Más de Rakuten Group, Inc.

Más de Rakuten Group, Inc. (18)

コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話
コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話
コードレビュー改善のためにJenkinsとIntelliJ IDEAのプラグインを自作してみた話
 
What Makes Software Green?
What Makes Software Green?What Makes Software Green?
What Makes Software Green?
 
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product At...
 
DataSkillCultureを浸透させる楽天の取り組み
DataSkillCultureを浸透させる楽天の取り組みDataSkillCultureを浸透させる楽天の取り組み
DataSkillCultureを浸透させる楽天の取り組み
 
大規模なリアルタイム監視の導入と展開
大規模なリアルタイム監視の導入と展開大規模なリアルタイム監視の導入と展開
大規模なリアルタイム監視の導入と展開
 
Travel & Leisure Platform Department's tech info
Travel & Leisure Platform Department's tech infoTravel & Leisure Platform Department's tech info
Travel & Leisure Platform Department's tech info
 
OWASPTop10_Introduction
OWASPTop10_IntroductionOWASPTop10_Introduction
OWASPTop10_Introduction
 
100PBを越えるデータプラットフォームの実情
100PBを越えるデータプラットフォームの実情100PBを越えるデータプラットフォームの実情
100PBを越えるデータプラットフォームの実情
 
社内エンジニアを支えるテクニカルアカウントマネージャー
社内エンジニアを支えるテクニカルアカウントマネージャー社内エンジニアを支えるテクニカルアカウントマネージャー
社内エンジニアを支えるテクニカルアカウントマネージャー
 
楽天のインフラ事情 2022
楽天のインフラ事情 2022楽天のインフラ事情 2022
楽天のインフラ事情 2022
 
楽天サービスとインフラ部隊
楽天サービスとインフラ部隊楽天サービスとインフラ部隊
楽天サービスとインフラ部隊
 
Kafka & Hadoop in Rakuten
Kafka & Hadoop in RakutenKafka & Hadoop in Rakuten
Kafka & Hadoop in Rakuten
 
Unclouding Container Challenges
 Unclouding  Container Challenges Unclouding  Container Challenges
Unclouding Container Challenges
 
Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...
Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...
Functional Programming in Pattern-Match-Oriented Programming Style <Programmi...
 
アジャイル開発とメトリクス
アジャイル開発とメトリクスアジャイル開発とメトリクス
アジャイル開発とメトリクス
 
AR/SLAM and IoT
AR/SLAM and IoTAR/SLAM and IoT
AR/SLAM and IoT
 
Introduction of Rakuten Commerce QA Night#2
Introduction of Rakuten Commerce QA Night#2Introduction of Rakuten Commerce QA Night#2
Introduction of Rakuten Commerce QA Night#2
 
Improve test automation operation
Improve test automation operationImprove test automation operation
Improve test automation operation
 

Último

Último (20)

Buy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptxBuy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptx
 
ECS 2024 Teams Premium - Pretty Secure
ECS 2024   Teams Premium - Pretty SecureECS 2024   Teams Premium - Pretty Secure
ECS 2024 Teams Premium - Pretty Secure
 
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsPLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. Startups
 
Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...
 
AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
 
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
Choosing the Right FDO Deployment Model for Your Application _ Geoffrey at In...
 
Demystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyDemystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John Staveley
 
Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024
 
Speed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in MinutesSpeed Wins: From Kafka to APIs in Minutes
Speed Wins: From Kafka to APIs in Minutes
 
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
 
A Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System StrategyA Business-Centric Approach to Design System Strategy
A Business-Centric Approach to Design System Strategy
 
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
 
UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2UiPath Test Automation using UiPath Test Suite series, part 2
UiPath Test Automation using UiPath Test Suite series, part 2
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
 
Agentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdfAgentic RAG What it is its types applications and implementation.pdf
Agentic RAG What it is its types applications and implementation.pdf
 
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří Karpíšek
 

Travel & Leisure Platform Department's tech info

  • 1. Travel & Leisure Platform Dept.
  • 2. 2 RBN Rakuten Private Cloud Public Cloud Hardware Provisioning / Management layer Network Overlay Storage Hadoop Bare metal IaaS Self Service Portal/APIs Self Service Portal/APIs OS layer (Kernel tuning) Data backup & Recovery Platform management (Exadata, Teradata, Proxy …etc) Service A Service B Service C Service X DB schema review, SQL tuning support VM Container Log Storage, Monitoring & Alerting Web / AP server provisioning Database provisioning (RDBMS/NoSQL) Toil abolishment & Automation Travel & Leisure Platform Dept(TLPD)
  • 3. 3 RBN Rakuten Private Cloud Public Cloud Hardware Provisioning / Management layer Network Overlay Storage Hadoop Bare metal IaaS Self Service Portal/APIs Self Service Portal/APIs OS layer (Kernel tuning) Data backup & Recovery Platform management (Exadata, Teradata, Proxy …etc) Service A Service B Service C Service X DB schema review, SQL tuning support VM Container Log Storage, Monitoring & Alerting Web / AP server provisioning Database provisioning (RDBMS/NoSQL) Toil abolishment & Automation DBA DevOps Travel & Leisure Platform Dept(TLPD)
  • 4. 4 Recent Project Business Continuity Plan (BCP) • Multi DC, Multi Cloud Container-nization • VM -> K8S Alert integration • Manage all alerts by 1 platform Automation • Server management, regular work Life Cycle Management (LCM) • NAS replace, Oracle DB version upgrade
  • 5. 5 What is Benefit ✓ 機械工学出身だがメーカーと比べると働き方が自由 (フレックスやリモートワークなど) ✓ 部署では色々な技術が使えるのが楽しい。(選定もできる のが楽しい) ✓ Most of the people want to improve skill / learning. ✓ Trying to very hard push forward. ✓ Not much restriction. ✓ Free Breakfast, Lunch, Dinner !! 21' New grads 20' Joined mid-career
  • 7. 7 ✓ RDB ✓ NoSQL ✓ KVS ✓ HDFS Cloud (Public / Private) Bare Metal / Appliance To provide best data platform and management as advanced DBA for Travel & Leisure services BCP
  • 8. 8 Data Management Group ◆ Long term resource management. ◆ Scale out/up based on load prediction. ◆ Monitoring and Troubleshooting. ◆ Performance tuning. ◆ Version upgrade / Migration. ◆ Backup & Recovery ◆ Provide guidelines for using each DB products. ◆ Making Contingency Plan (BCP). ◆ Verification and evaluation of new architecture. Role Responsibility ✓ RDB (Oracle, Exadata, GoldenGate, Timesten, MySQL, ZFS, ) ✓ NoSQL (MongoDB, Elasticsearch, Redis)
  • 10. 10 What we do – 1. Infrastructure as Code Infra Management Config Management Continuous Integration Terraform Jenkins Chef & Ansible
  • 11. 11 What we do – 2. Provide platform to Dev and QA System Monitoring Log Analysis Support Tool
  • 12. 12 Platform Reliability Group Role Responsibility ✓Infrastructure management ✓Platform / Tool / Environment management ◆Long term resource management. ◆Scale out/up based on load prediction. ◆Troubleshooting. ◆Infrastructure consultation. ◆Monitoring / Proxy / Log analysis. ◆Tool management for Developer & QA ◆Provide Server resource. ◆System Log management. ◆Verification and evaluation of new architecture.
  • 13. 13 Person we would like to work with ❖ Always motivated to improve existing process. ❖ Actively communicate with colleagues. ❖ Positive attitude for work. ❖ Quick and positive learner.
  • 14. Nationality of the engineers : Around 8 countries Average age : Around 30 years old