ハレー彗星が接近する中、亡くなった「偉人たちの脳」ばかりが何者かによって奪われる奇妙な事件が発生。薪と青木が捜査を進める過程で、明らかになった衝撃の真実とは…？　人間の命は蝉のように短い――。「冬蝉」編収録、大ヒットミステリーコミック最新刊。 2018年7月刊。

観た人が死ぬ、とSNSで噂される謎のホラー映画。この映画の秘密とは…!? 衝撃すぎるラストの「増殖」編(5)(6)巻にて完全収録。 2017年9月刊。

在小學裡，因不幸的巧合疊加而發生一件哀傷的意外。 接著在哀傷的深淵當中，一名父親引發不幸的事件。 不過是連續的巧合，任誰都那麼想…除了薪以外。 逼近青木，美少年‧須田光的魔手是？ 與死者腦部有關的精湛懸疑作品，惡作劇（遊戲）篇，啟動…！

Grafana is an open-source analytical platform used to analyze and monitoring time-series data. This beginner's guide will help you get to grips with Grafana's new features for querying, visualizing, and exploring metrics and logs no matter where they are stored.The book begins by showing you how to install and set up the Grafana server. You'll explore the working mechanism of various components of the Grafana interface along with its security features, and learn how to visualize and monitor data using, InfluxDB, Prometheus, Logstash, and Elasticsearch. This Grafana book covers the advanced features of the Graph panel and shows you how Stat, Table, Bar Gauge, and Text are used. You'll build dynamic dashboards to perform end-to-end analytics and label and organize dashboards into folders to make them easier to find. As you progress, the book delves into the administrative aspects of Grafana by creating alerts, setting permissions for teams, and implementing user authentication. Along with exploring Grafana's multi-cloud monitoring support, you'll also learn about Grafana Loki, which is a backend logger for users running Prometheus and Kubernetes.By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards.

Grafana is an open-source analytical platform used to analyze and monitoring time-series data. This beginner's guide will help you get to grips with Grafana's new features for querying, visualizing, and exploring metrics and logs no matter where they are stored.The book begins by showing you how to install and set up the Grafana server. You'll explore the working mechanism of various components of the Grafana interface along with its security features, and learn how to visualize and monitor data using, InfluxDB, Prometheus, Logstash, and Elasticsearch. This Grafana book covers the advanced features of the Graph panel and shows you how Stat, Table, Bar Gauge, and Text are used. You'll build dynamic dashboards to perform end-to-end analytics and label and organize dashboards into folders to make them easier to find. As you progress, the book delves into the administrative aspects of Grafana by creating alerts, setting permissions for teams, and implementing user authentication. Along with exploring Grafana's multi-cloud monitoring support, you'll also learn about Grafana Loki, which is a backend logger for users running Prometheus and Kubernetes.By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards.

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics.Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins.By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics.Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins.By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.

C# 7.0是Microsoft对其旗舰编程语言的第六次重大升级，这次升级大大提高了C#语言的功能和灵活性。一方面，它提供了一些高级的抽象，例如查询表达式和异步延续；另一方面，它允许通过自定义值类型和可选的指针结构进行底层的效率优化。C#语言特性的增长也极大地加重了我们的学习负担。虽然一些工具如Microsoft IntelliSense和在线参考文档可以为工作提供诸多便利，但若要使用它们仍需要一些现有的概念和知识体系作为支撑。本书以简明统一的方式（而非烦琐冗长的介绍）准确阐释了这些知识。与之前的四个版本一样，本书也是围绕概念和用例来进行组织的。因此无论是顺序阅读还是随意浏览都大有裨益。虽然本书只要求读者具备基本的背景知识，但是它仍然有一定的深度，比较适合中高级读者阅读。

本书前三章将集中介绍C#语言。首先介绍基本的语法、类型和变量。而后会介绍一些高级的特性，如不安全代码以及预处理指令。如果你是C#语言的初学者，请循序渐进地阅读这些章节。 其余各章则涵盖了.NET Framework的核心功能，包括LINQ、XML、集合、并发、I/O和网络、内存管理、反射、动态编程、特性、安全、应用程序域和原生互操作性等主题。第6章和第7章是后续主题的基础，除这两章之外，其余各章可以按照需要以任何顺序阅读。LINQ相关的三个章节好按顺序阅读。其中的一些章节需要一些并发相关的知识，这些知识将在第14章中介绍。