NIKKEI TECHNOLOGY AND CAREER

技術スタック

日経のデジタルサービスの技術スタック

日経の技術スタック

日経のデジタルサービスの技術スタックをご紹介します。サービスやプロダクトに相応しい最適な技術を各リードが選定していくカルチャーがあります。

*最終更新日: 2022年8月9日

CategoryTechnology Stack
Programming Languages/ Library etc.Web Frontend
JavaScript, TypeScript, HTML, CSS, Sass, Next.js, React, Vue.js, Cypress, GraphQL, Vite
Android
Kotlin, Java, RxJava, Kotlin Coroutines, Android Jetpack(ex. DataBinding, Room, Navigation, WorkManager), Retrofit, Firebase, Dagger Hilt, JUnit, Mockito-Kotlin, fastlane, Danger
iOS
SwiftUI, Combine, Swift Concurrency, Swift Package Manager, UIKit, TestPlan, XCTest, XcodeGen, Firebase, RxSwift, Realm, fastlane
Backend
Go, Java, Kotlin, PHP, Python, TypeScript, Django, FastAPI, Flask, Node.js, Spring Framework, Symfony, gRPC, Strapi
DataPlatform
Go, JavaScript,
InfrastructureAmazon Web services, Google Cloud Platform, On-premise
MiddlewareAmazon SQS, AWS Lambda, Cloud Functions, Cloud Pub/Sub, nginx,
DatabaseAmazon Aurora(MySQL), Amazon RDS(MySQL), Amazon DynamoDB, Amazon ElastiCache, Amazon S3, Athena, MemSQL, Oracle Database, SingleStore
MonitoringCrashlytics, Datadog, Fluentd, Kibana, PagerDuty, Prometeus, Sentry
Data analyticsAmazon Redshift, BigQuery, Cloud Functions, Data Studio, Google Data Catalog, Looker, R, Redash, Tableau
Environment setup (環境構築)Ansible, AWS CloudFormation, Docker, Terraform
Container OrchestrationAmazon ECS, AWS Elastic Beanstalk, Kubernetes
CIAWS CodeDeploy, AWS CodePipeline, GitHub Actions, Bitrise, CircleCI
Machine learning LibraryLightGBM, Neo4j, PyTorch, PyTorch Image Models, scikit-learn, spaCy, TensorFlow, Transformers
Search EngineElasticsearch
Workflow EngineApache Airflow, Amazon Kinesis, Embulk
Code ManagementGitHub
Test automation toolsAutify, pytest
CDNAmazon CloudFront, Fastly

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