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LINE DEVELOPER DAY 2017 B-2 Currently we are working on the development of new platform for LINE Game, Topping. It enhances the user experiences on LINE Game with many game-oriented functions, such as in-game chat, in-game BBS, virtual graphs and so on. Today, we will speak about how we've tried to manage and process various game data generated within our platform. In particular, we will focus on two specific topics: time-series data processing with Elasticsearch and multi-row transactions on HBase.

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LINE DEVELOPER DAY 2017 A-9 "We will discuss two case studies for data analysis conducted by the LINE Security Department. The first use-case is explanation of how we acquire system logs pertaining to the infrastructure (servers, PCs, and the network), the system that quickly detects unauthorized access, heavy loads, information leaks, and other incidents, and the structure of the platform. In the other, we will discuss the current status of spam countermeasures on LINE and the anti-spam system that analyzes spamminess and automatically blocks based on user reporting data."

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LINE DEVELOPER DAY 2017 A-4 The LINE Android Client is now entering its seventh year of development, and over that time the client implementation accompanying the growth in the service has gotten bloated and become all the more complicated. In order to allow for sustained development going forward under these circumstances, you need to simultaneously move forward with function implementation and repaying technical debt. During this speech, I will discuss what kind of improvements we have made through focusing on code, CI (continuous integration), and team in our efforts to create an environment that can more easily repay technical debt.

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LINE is a messaging service with 200+ million active users. I will introduce why we feed 100+ billion daily messages into Kafka and how various systems such as data sync, abuse detection and analysis are depending on and leveraging it. It will be also introduced how we leverage dynamic tracing tools like SystemTap to inspect broker’s performance on production system, which led me to fix KAFKA-4614. Presented by Yuto Kawamura, LINE Corporation Systems Track

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2011年にリリースした弊社フリューのアプリケーションは、利用者が年々増加し、1000万人を超えました。それに伴い、機能を追加、改修しているため肥大化したモノリシックアプリケーションとなりました。また開発チームも複数あり、それぞれが機能を開発し、毎日のようにデプロイ、リリースしています。こうした現状から、ドメインごとにアプリケーションを分割したいという欲求が生まれ、マイクロサービスアーキテクチャに変えていくことにしました。もちろん今もサービスを運用、新機能開発していく中でゆるやかに実施していくため、完成したわけではありません。このセッションでは、現実に運用しているアプリケーションに対して、マイクロサービス構築に何を使い、どのように一歩踏み出し、その結果チームは何を実現し何を得られたか、ということを話します。 JJUG CCCでは弊社フリューのアーキテクチャの変遷について、2016 Spring、2016 Fallとセッションをしてきました。Springでは"Seasar2で作った俺たちのサービスの今"、Fallでは"10年運用している画像サービスでのJavaの活用と今後の展望"と、Seasar2からSpring Framework/MVCに移行した話をしました。今回は、このアプリケーションから特定の機能を取り出してマイクロサービスとしてSpring Boot、Spring Cloud Netflix(ribbon/Eureka/Hystrix)で構築し、既存の手動テストをパスさせるためSpring Cloud Contract Stub Runnerを活用した点を中心に話します。また、私以外Spring自体をほぼ知らないチームで、どのように習得を進めたかという点にも触れます。すでにこれらの技術をご存知の方にはこのセッションは適切でない可能性があります。また、ベストプラクティスでも、Spring Cloudのすべてのプロダクトを使っているわけでもありません。それでも、1つの現場の事例としてみなさんのご参考になれば幸いです。

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Many presentations on Microservices offer a high level view; rarely does one hear what it’s like to work in such an environment. Individual services are somewhat trivial to develop, but now you suddenly have countless others to track. You’ll become obsessed over how they communicate. You’ll have to start referring to the whole thing as “the Platform”. You will have to take on some DevOps work and start learning about deployment pipelines, metrics, and logging. Don’t panic. In this presentation we’ll discuss what we learned over the past three years. We’ll examine what a development lifecycle might look like for adding a new service, developing a feature, or fixing bugs. We’ll dive a bit into DevOps and see how one will become dependent on various metric and centralized logging tools, like Kubernetes and the ELK stack. Finally we’ll talk about team communication and organization... and how they are likely the most important tool for surviving a Microservices development team.

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