SlideShare a Scribd company logo
1 of 21
Download to read offline
Copyright ©2015 Treasure Data. All Rights Reserved.
hotdog
a TD tool for DD
Yamashita, Yuu (@yyuu) 

Treasure Data, Inc.
yuu@treasure-data.com
March 11, 2015
Copyright ©2015 Treasure Data. All Rights Reserved.
about:yyuu
• 2014/10 - Software Engineer at Treasure Data Inc.
• Past: Infrastructure Engineer at Geisha Tokyo Entertainment Inc.
• OSS
• pyenv (github: yyuu/pyenv)
• xtc (bitbucket: yyuu/xtc)
• jetty-nosql-memcached (github: yyuu/jetty-nosql-memcached)
• botornado (github: yyuu/botornado)
• sbt-extras (github: paulp/sbt-extras)
2
Copyright ©2015 Treasure Data. All Rights Reserved.
about:yyuu
3
Copyright ©2015 Treasure Data. All Rights Reserved.
Today’s topic
• hotdog - yet another command line tool for DataDog
4
Copyright ©2015 Treasure Data. All Rights Reserved.
What’s DD?
5
Copyright ©2015 Treasure Data. All Rights Reserved.
What’s DD?
6
• System metrics
• dd-agent
• Application metrics
• fluent-logger
• td-agent
• fluent-plugin-metricsense
Copyright ©2015 Treasure Data. All Rights Reserved.
TD on DD
7
Copyright ©2015 Treasure Data. All Rights Reserved.
TD on DD
• We have *MANY* servers on DD
• BIG DATA NEEDS PROCESSORS
• We have many DataDog monitors to detect failures
• Send notification from DD to Slack and/or PagerDuty
8
Copyright ©2015 Treasure Data. All Rights Reserved.
TD ❤️ DD
9
Copyright ©2015 Treasure Data. All Rights Reserved.
Today’s topic
• hotdog - yet another command line tool for DataDog
10
Copyright ©2015 Treasure Data. All Rights Reserved.
TD 😱 PD
11
So, what is i-XXXXXXXX?
Copyright ©2015 Treasure Data. All Rights Reserved.
How to get node info of i-XXXXXXXX?
• AWS Management Console
• DataDog Infrastructure List
• Chef / Knife
• …
12
Copyright ©2015 Treasure Data. All Rights Reserved.
My solution; hotdog
13
Copyright ©2015 Treasure Data. All Rights Reserved.
My solution; hotdog
• Search hosts from DD tags
• Search hosts from instance-id
• Support expressions on DD tags
• AND, OR, NOT
• wildcard characters (‘*’, ‘?’, ‘[‘, ‘]’)
• Supports cooperation with pssh/GNU Parallel
14
Copyright ©2015 Treasure Data. All Rights Reserved.
How hotdog works
• Parse given expression by PEG parser
15
Copyright ©2015 Treasure Data. All Rights Reserved.
How hotdog works
• Parse given expression by PEG parser
• Get tag->hosts map from “GET /api/v1/tags/hosts”
16
Copyright ©2015 Treasure Data. All Rights Reserved.
How hotdog works
• Parse given expression by PEG parser
• Get tag->hosts map from “GET /api/v1/tags/hosts”
• Build host<->tag index on on-memory SQLite
17
Copyright ©2015 Treasure Data. All Rights Reserved.
How hotdog works
• Parse given expression by PEG parser
• Get tag->hosts map from “GET /api/v1/tags/hosts”
• Build host<->tag index on on-memory SQLite
• Evaluate the expression
18
Copyright ©2015 Treasure Data. All Rights Reserved.
How hotdog works
• Parse given expression by PEG parser
• Get tag->hosts map from “GET /api/v1/tags/hosts”
• Build host<->tag index on on-memory SQLite
• Evaluate the expression
• Print the results in specified format (text, json, yam, etc.)
19
small expression interpreter based on parslet
Copyright ©2015 Treasure Data. All Rights Reserved.
How hotdog works
• https://github.com/yyuu/hotdog
20
Copyright ©2015 Treasure Data. All Rights Reserved.
WE ARE HIRING!
21
Check: www.treasuredata.com

More Related Content

What's hot

Programmatic Bidding Data Streams & Druid
Programmatic Bidding Data Streams & DruidProgrammatic Bidding Data Streams & Druid
Programmatic Bidding Data Streams & DruidCharles Allen
 
data science toolkit 101: set up Python, Spark, & Jupyter
data science toolkit 101: set up Python, Spark, & Jupyterdata science toolkit 101: set up Python, Spark, & Jupyter
data science toolkit 101: set up Python, Spark, & JupyterRaj Singh
 
Apache Druid®: A Dance of Distributed Processes
 Apache Druid®: A Dance of Distributed Processes Apache Druid®: A Dance of Distributed Processes
Apache Druid®: A Dance of Distributed ProcessesImply
 
Apache Arrow: In Theory, In Practice
Apache Arrow: In Theory, In PracticeApache Arrow: In Theory, In Practice
Apache Arrow: In Theory, In PracticeDremio Corporation
 
Building a Virtual Data Lake with Apache Arrow
Building a Virtual Data Lake with Apache ArrowBuilding a Virtual Data Lake with Apache Arrow
Building a Virtual Data Lake with Apache ArrowDremio Corporation
 
A Day in the Life of a Druid Implementor and Druid's Roadmap
A Day in the Life of a Druid Implementor and Druid's RoadmapA Day in the Life of a Druid Implementor and Druid's Roadmap
A Day in the Life of a Druid Implementor and Druid's RoadmapItai Yaffe
 
My Data Journey with Python (SciPy 2015 Keynote)
My Data Journey with Python (SciPy 2015 Keynote)My Data Journey with Python (SciPy 2015 Keynote)
My Data Journey with Python (SciPy 2015 Keynote)Wes McKinney
 
Powering Predictive Mapping at Scale with Spark, Kafka, and Elastic Search: S...
Powering Predictive Mapping at Scale with Spark, Kafka, and Elastic Search: S...Powering Predictive Mapping at Scale with Spark, Kafka, and Elastic Search: S...
Powering Predictive Mapping at Scale with Spark, Kafka, and Elastic Search: S...Spark Summit
 
Using PostgreSQL with Bibliographic Data
Using PostgreSQL with Bibliographic DataUsing PostgreSQL with Bibliographic Data
Using PostgreSQL with Bibliographic DataJimmy Angelakos
 
Real-time analytics with Druid at Appsflyer
Real-time analytics with Druid at AppsflyerReal-time analytics with Druid at Appsflyer
Real-time analytics with Druid at AppsflyerMichael Spector
 
July 2014 HUG : Pushing the limits of Realtime Analytics using Druid
July 2014 HUG : Pushing the limits of Realtime Analytics using DruidJuly 2014 HUG : Pushing the limits of Realtime Analytics using Druid
July 2014 HUG : Pushing the limits of Realtime Analytics using DruidYahoo Developer Network
 
The architecture of data analytics PaaS on AWS
The architecture of data analytics PaaS on AWSThe architecture of data analytics PaaS on AWS
The architecture of data analytics PaaS on AWSTreasure Data, Inc.
 
Apache Arrow and Python: The latest
Apache Arrow and Python: The latestApache Arrow and Python: The latest
Apache Arrow and Python: The latestWes McKinney
 
Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Imply
 
Bringing the Semantic Web closer to reality: PostgreSQL as RDF Graph Database
Bringing the Semantic Web closer to reality: PostgreSQL as RDF Graph DatabaseBringing the Semantic Web closer to reality: PostgreSQL as RDF Graph Database
Bringing the Semantic Web closer to reality: PostgreSQL as RDF Graph DatabaseJimmy Angelakos
 
Where Is My Data - ILTAM Session
Where Is My Data - ILTAM SessionWhere Is My Data - ILTAM Session
Where Is My Data - ILTAM SessionTamir Dresher
 
Big Telco - Yousun Jeong
Big Telco - Yousun JeongBig Telco - Yousun Jeong
Big Telco - Yousun JeongSpark Summit
 
Microservices, Continuous Delivery, and Elasticsearch at Capital One
Microservices, Continuous Delivery, and Elasticsearch at Capital OneMicroservices, Continuous Delivery, and Elasticsearch at Capital One
Microservices, Continuous Delivery, and Elasticsearch at Capital OneNoriaki Tatsumi
 
Hadoop at ayasdi
Hadoop at ayasdiHadoop at ayasdi
Hadoop at ayasdiMohit Jaggi
 

What's hot (20)

Programmatic Bidding Data Streams & Druid
Programmatic Bidding Data Streams & DruidProgrammatic Bidding Data Streams & Druid
Programmatic Bidding Data Streams & Druid
 
data science toolkit 101: set up Python, Spark, & Jupyter
data science toolkit 101: set up Python, Spark, & Jupyterdata science toolkit 101: set up Python, Spark, & Jupyter
data science toolkit 101: set up Python, Spark, & Jupyter
 
Apache Druid®: A Dance of Distributed Processes
 Apache Druid®: A Dance of Distributed Processes Apache Druid®: A Dance of Distributed Processes
Apache Druid®: A Dance of Distributed Processes
 
Apache Arrow: In Theory, In Practice
Apache Arrow: In Theory, In PracticeApache Arrow: In Theory, In Practice
Apache Arrow: In Theory, In Practice
 
Building a Virtual Data Lake with Apache Arrow
Building a Virtual Data Lake with Apache ArrowBuilding a Virtual Data Lake with Apache Arrow
Building a Virtual Data Lake with Apache Arrow
 
A Day in the Life of a Druid Implementor and Druid's Roadmap
A Day in the Life of a Druid Implementor and Druid's RoadmapA Day in the Life of a Druid Implementor and Druid's Roadmap
A Day in the Life of a Druid Implementor and Druid's Roadmap
 
My Data Journey with Python (SciPy 2015 Keynote)
My Data Journey with Python (SciPy 2015 Keynote)My Data Journey with Python (SciPy 2015 Keynote)
My Data Journey with Python (SciPy 2015 Keynote)
 
Powering Predictive Mapping at Scale with Spark, Kafka, and Elastic Search: S...
Powering Predictive Mapping at Scale with Spark, Kafka, and Elastic Search: S...Powering Predictive Mapping at Scale with Spark, Kafka, and Elastic Search: S...
Powering Predictive Mapping at Scale with Spark, Kafka, and Elastic Search: S...
 
Using PostgreSQL with Bibliographic Data
Using PostgreSQL with Bibliographic DataUsing PostgreSQL with Bibliographic Data
Using PostgreSQL with Bibliographic Data
 
Real-time analytics with Druid at Appsflyer
Real-time analytics with Druid at AppsflyerReal-time analytics with Druid at Appsflyer
Real-time analytics with Druid at Appsflyer
 
July 2014 HUG : Pushing the limits of Realtime Analytics using Druid
July 2014 HUG : Pushing the limits of Realtime Analytics using DruidJuly 2014 HUG : Pushing the limits of Realtime Analytics using Druid
July 2014 HUG : Pushing the limits of Realtime Analytics using Druid
 
Apache Arrow - An Overview
Apache Arrow - An OverviewApache Arrow - An Overview
Apache Arrow - An Overview
 
The architecture of data analytics PaaS on AWS
The architecture of data analytics PaaS on AWSThe architecture of data analytics PaaS on AWS
The architecture of data analytics PaaS on AWS
 
Apache Arrow and Python: The latest
Apache Arrow and Python: The latestApache Arrow and Python: The latest
Apache Arrow and Python: The latest
 
Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)
 
Bringing the Semantic Web closer to reality: PostgreSQL as RDF Graph Database
Bringing the Semantic Web closer to reality: PostgreSQL as RDF Graph DatabaseBringing the Semantic Web closer to reality: PostgreSQL as RDF Graph Database
Bringing the Semantic Web closer to reality: PostgreSQL as RDF Graph Database
 
Where Is My Data - ILTAM Session
Where Is My Data - ILTAM SessionWhere Is My Data - ILTAM Session
Where Is My Data - ILTAM Session
 
Big Telco - Yousun Jeong
Big Telco - Yousun JeongBig Telco - Yousun Jeong
Big Telco - Yousun Jeong
 
Microservices, Continuous Delivery, and Elasticsearch at Capital One
Microservices, Continuous Delivery, and Elasticsearch at Capital OneMicroservices, Continuous Delivery, and Elasticsearch at Capital One
Microservices, Continuous Delivery, and Elasticsearch at Capital One
 
Hadoop at ayasdi
Hadoop at ayasdiHadoop at ayasdi
Hadoop at ayasdi
 

Viewers also liked

Building Physical in a Virtual World
Building Physical in a Virtual WorldBuilding Physical in a Virtual World
Building Physical in a Virtual WorldChris Maxwell
 
20140708 オンラインゲームソリューション
20140708 オンラインゲームソリューション20140708 オンラインゲームソリューション
20140708 オンラインゲームソリューションTakahiro Inoue
 
Presto as a Service - Tips for operation and monitoring
Presto as a Service - Tips for operation and monitoringPresto as a Service - Tips for operation and monitoring
Presto as a Service - Tips for operation and monitoringTaro L. Saito
 
トレジャーデータ株式会社について(for all Data_Enthusiast!!)
トレジャーデータ株式会社について(for all Data_Enthusiast!!)トレジャーデータ株式会社について(for all Data_Enthusiast!!)
トレジャーデータ株式会社について(for all Data_Enthusiast!!)Takahiro Inoue
 
Understanding Presto - Presto meetup @ Tokyo #1
Understanding Presto - Presto meetup @ Tokyo #1Understanding Presto - Presto meetup @ Tokyo #1
Understanding Presto - Presto meetup @ Tokyo #1Sadayuki Furuhashi
 
事例で学ぶトレジャーデータ 20140612
事例で学ぶトレジャーデータ 20140612事例で学ぶトレジャーデータ 20140612
事例で学ぶトレジャーデータ 20140612Takahiro Inoue
 
オンラインゲームソリューション@トレジャーデータ
オンラインゲームソリューション@トレジャーデータオンラインゲームソリューション@トレジャーデータ
オンラインゲームソリューション@トレジャーデータTakahiro Inoue
 
この Visualization がすごい2014 〜データ世界を彩るツール6選〜
この Visualization がすごい2014 〜データ世界を彩るツール6選〜この Visualization がすごい2014 〜データ世界を彩るツール6選〜
この Visualization がすごい2014 〜データ世界を彩るツール6選〜Takahiro Inoue
 
Tableauが魅せる Data Visualization の世界
Tableauが魅せる Data Visualization の世界Tableauが魅せる Data Visualization の世界
Tableauが魅せる Data Visualization の世界Takahiro Inoue
 
MongoDBを用いたソーシャルアプリのログ解析 〜解析基盤構築からフロントUIまで、MongoDBを最大限に活用する〜
MongoDBを用いたソーシャルアプリのログ解析 〜解析基盤構築からフロントUIまで、MongoDBを最大限に活用する〜MongoDBを用いたソーシャルアプリのログ解析 〜解析基盤構築からフロントUIまで、MongoDBを最大限に活用する〜
MongoDBを用いたソーシャルアプリのログ解析 〜解析基盤構築からフロントUIまで、MongoDBを最大限に活用する〜Takahiro Inoue
 
トレジャーデータ流,データ分析の始め方
トレジャーデータ流,データ分析の始め方トレジャーデータ流,データ分析の始め方
トレジャーデータ流,データ分析の始め方Takahiro Inoue
 
「GraphDB徹底入門」〜構造や仕組み理解から使いどころ・種々のGraphDBの比較まで幅広く〜
「GraphDB徹底入門」〜構造や仕組み理解から使いどころ・種々のGraphDBの比較まで幅広く〜「GraphDB徹底入門」〜構造や仕組み理解から使いどころ・種々のGraphDBの比較まで幅広く〜
「GraphDB徹底入門」〜構造や仕組み理解から使いどころ・種々のGraphDBの比較まで幅広く〜Takahiro Inoue
 
Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014Sadayuki Furuhashi
 
トレジャーデータのバッチクエリとアドホッククエリを理解する
トレジャーデータのバッチクエリとアドホッククエリを理解するトレジャーデータのバッチクエリとアドホッククエリを理解する
トレジャーデータのバッチクエリとアドホッククエリを理解するTakahiro Inoue
 
トレジャーデータとtableau実現する自動レポーティング
トレジャーデータとtableau実現する自動レポーティングトレジャーデータとtableau実現する自動レポーティング
トレジャーデータとtableau実現する自動レポーティングTakahiro Inoue
 
Treasure Data Intro for Data Enthusiast!!
Treasure Data Intro for Data Enthusiast!!Treasure Data Intro for Data Enthusiast!!
Treasure Data Intro for Data Enthusiast!!Takahiro Inoue
 
Lightning fast genomics with Spark, Adam and Scala
Lightning fast genomics with Spark, Adam and ScalaLightning fast genomics with Spark, Adam and Scala
Lightning fast genomics with Spark, Adam and ScalaAndy Petrella
 

Viewers also liked (20)

Diary of Support Engineer
Diary of Support EngineerDiary of Support Engineer
Diary of Support Engineer
 
Internals of Presto Service
Internals of Presto ServiceInternals of Presto Service
Internals of Presto Service
 
Building Physical in a Virtual World
Building Physical in a Virtual WorldBuilding Physical in a Virtual World
Building Physical in a Virtual World
 
20140708 オンラインゲームソリューション
20140708 オンラインゲームソリューション20140708 オンラインゲームソリューション
20140708 オンラインゲームソリューション
 
Presto as a Service - Tips for operation and monitoring
Presto as a Service - Tips for operation and monitoringPresto as a Service - Tips for operation and monitoring
Presto as a Service - Tips for operation and monitoring
 
トレジャーデータ株式会社について(for all Data_Enthusiast!!)
トレジャーデータ株式会社について(for all Data_Enthusiast!!)トレジャーデータ株式会社について(for all Data_Enthusiast!!)
トレジャーデータ株式会社について(for all Data_Enthusiast!!)
 
Understanding Presto - Presto meetup @ Tokyo #1
Understanding Presto - Presto meetup @ Tokyo #1Understanding Presto - Presto meetup @ Tokyo #1
Understanding Presto - Presto meetup @ Tokyo #1
 
事例で学ぶトレジャーデータ 20140612
事例で学ぶトレジャーデータ 20140612事例で学ぶトレジャーデータ 20140612
事例で学ぶトレジャーデータ 20140612
 
オンラインゲームソリューション@トレジャーデータ
オンラインゲームソリューション@トレジャーデータオンラインゲームソリューション@トレジャーデータ
オンラインゲームソリューション@トレジャーデータ
 
Presto in Treasure Data
Presto in Treasure DataPresto in Treasure Data
Presto in Treasure Data
 
この Visualization がすごい2014 〜データ世界を彩るツール6選〜
この Visualization がすごい2014 〜データ世界を彩るツール6選〜この Visualization がすごい2014 〜データ世界を彩るツール6選〜
この Visualization がすごい2014 〜データ世界を彩るツール6選〜
 
Tableauが魅せる Data Visualization の世界
Tableauが魅せる Data Visualization の世界Tableauが魅せる Data Visualization の世界
Tableauが魅せる Data Visualization の世界
 
MongoDBを用いたソーシャルアプリのログ解析 〜解析基盤構築からフロントUIまで、MongoDBを最大限に活用する〜
MongoDBを用いたソーシャルアプリのログ解析 〜解析基盤構築からフロントUIまで、MongoDBを最大限に活用する〜MongoDBを用いたソーシャルアプリのログ解析 〜解析基盤構築からフロントUIまで、MongoDBを最大限に活用する〜
MongoDBを用いたソーシャルアプリのログ解析 〜解析基盤構築からフロントUIまで、MongoDBを最大限に活用する〜
 
トレジャーデータ流,データ分析の始め方
トレジャーデータ流,データ分析の始め方トレジャーデータ流,データ分析の始め方
トレジャーデータ流,データ分析の始め方
 
「GraphDB徹底入門」〜構造や仕組み理解から使いどころ・種々のGraphDBの比較まで幅広く〜
「GraphDB徹底入門」〜構造や仕組み理解から使いどころ・種々のGraphDBの比較まで幅広く〜「GraphDB徹底入門」〜構造や仕組み理解から使いどころ・種々のGraphDBの比較まで幅広く〜
「GraphDB徹底入門」〜構造や仕組み理解から使いどころ・種々のGraphDBの比較まで幅広く〜
 
Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014Presto - Hadoop Conference Japan 2014
Presto - Hadoop Conference Japan 2014
 
トレジャーデータのバッチクエリとアドホッククエリを理解する
トレジャーデータのバッチクエリとアドホッククエリを理解するトレジャーデータのバッチクエリとアドホッククエリを理解する
トレジャーデータのバッチクエリとアドホッククエリを理解する
 
トレジャーデータとtableau実現する自動レポーティング
トレジャーデータとtableau実現する自動レポーティングトレジャーデータとtableau実現する自動レポーティング
トレジャーデータとtableau実現する自動レポーティング
 
Treasure Data Intro for Data Enthusiast!!
Treasure Data Intro for Data Enthusiast!!Treasure Data Intro for Data Enthusiast!!
Treasure Data Intro for Data Enthusiast!!
 
Lightning fast genomics with Spark, Adam and Scala
Lightning fast genomics with Spark, Adam and ScalaLightning fast genomics with Spark, Adam and Scala
Lightning fast genomics with Spark, Adam and Scala
 

Similar to Treasure Data engineer introduces hotdog CLI for DataDog monitoring

Presto: SQL-on-Anything. Netherlands Hadoop User Group Meetup
Presto: SQL-on-Anything. Netherlands Hadoop User Group MeetupPresto: SQL-on-Anything. Netherlands Hadoop User Group Meetup
Presto: SQL-on-Anything. Netherlands Hadoop User Group MeetupWojciech Biela
 
PyDriller: Python Framework for Mining Software Repositories
PyDriller: Python Framework for Mining Software RepositoriesPyDriller: Python Framework for Mining Software Repositories
PyDriller: Python Framework for Mining Software RepositoriesDelft University of Technology
 
SDEC2011 Essentials of Pig
SDEC2011 Essentials of PigSDEC2011 Essentials of Pig
SDEC2011 Essentials of PigKorea Sdec
 
Achieve Blazing-Fast Ingest Speeds with Apache Arrow
Achieve Blazing-Fast Ingest Speeds with Apache ArrowAchieve Blazing-Fast Ingest Speeds with Apache Arrow
Achieve Blazing-Fast Ingest Speeds with Apache ArrowNeo4j
 
Enterprise git
Enterprise gitEnterprise git
Enterprise gitPedro Melo
 
Inside Of Mbga Open Platform
Inside Of Mbga Open PlatformInside Of Mbga Open Platform
Inside Of Mbga Open PlatformHideo Kimura
 
Dragon: A Distributed Object Storage at Yahoo! JAPAN (WebDB Forum 2017 / E...
   Dragon: A Distributed Object Storage at Yahoo! JAPAN (WebDB Forum 2017 / E...   Dragon: A Distributed Object Storage at Yahoo! JAPAN (WebDB Forum 2017 / E...
Dragon: A Distributed Object Storage at Yahoo! JAPAN (WebDB Forum 2017 / E...Yahoo!デベロッパーネットワーク
 
Open Source Monitoring Tools
Open Source Monitoring ToolsOpen Source Monitoring Tools
Open Source Monitoring Toolsm_richardson
 
Ducksboard - A real-time data oriented webservice architecture
Ducksboard - A real-time data oriented webservice architectureDucksboard - A real-time data oriented webservice architecture
Ducksboard - A real-time data oriented webservice architectureDucksboard
 
OSINT tools for security auditing [FOSDEM edition]
OSINT tools for security auditing [FOSDEM edition] OSINT tools for security auditing [FOSDEM edition]
OSINT tools for security auditing [FOSDEM edition] Jose Manuel Ortega Candel
 
fluent-plugin-beats at Elasticsearch meetup #14
fluent-plugin-beats at Elasticsearch meetup #14fluent-plugin-beats at Elasticsearch meetup #14
fluent-plugin-beats at Elasticsearch meetup #14N Masahiro
 
Updates on webSpoon and other innovations from Hitachi R&D
Updates on webSpoon and other innovations from Hitachi R&DUpdates on webSpoon and other innovations from Hitachi R&D
Updates on webSpoon and other innovations from Hitachi R&DHiromu Hota
 
PyData: The Next Generation
PyData: The Next GenerationPyData: The Next Generation
PyData: The Next GenerationWes McKinney
 
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...PyData
 
PyData: The Next Generation | Data Day Texas 2015
PyData: The Next Generation | Data Day Texas 2015PyData: The Next Generation | Data Day Texas 2015
PyData: The Next Generation | Data Day Texas 2015Cloudera, Inc.
 
Meeting rooms are talking! are you listening?
Meeting rooms are talking! are you listening?Meeting rooms are talking! are you listening?
Meeting rooms are talking! are you listening?Cisco DevNet
 
Road to NODES - Blazing Fast Ingest with Apache Arrow
Road to NODES - Blazing Fast Ingest with Apache ArrowRoad to NODES - Blazing Fast Ingest with Apache Arrow
Road to NODES - Blazing Fast Ingest with Apache ArrowNeo4j
 
Warsaw muleSoft meetup #11 MuleSoft OData
Warsaw muleSoft meetup #11 MuleSoft ODataWarsaw muleSoft meetup #11 MuleSoft OData
Warsaw muleSoft meetup #11 MuleSoft ODataPatryk Bandurski
 
SpagoBI 5 Demo Day and Workshop : Technology Applications and Uses
SpagoBI 5 Demo Day and Workshop : Technology Applications and UsesSpagoBI 5 Demo Day and Workshop : Technology Applications and Uses
SpagoBI 5 Demo Day and Workshop : Technology Applications and UsesSpagoWorld
 
Improving Pandas and PySpark performance and interoperability with Apache Arrow
Improving Pandas and PySpark performance and interoperability with Apache ArrowImproving Pandas and PySpark performance and interoperability with Apache Arrow
Improving Pandas and PySpark performance and interoperability with Apache ArrowPyData
 

Similar to Treasure Data engineer introduces hotdog CLI for DataDog monitoring (20)

Presto: SQL-on-Anything. Netherlands Hadoop User Group Meetup
Presto: SQL-on-Anything. Netherlands Hadoop User Group MeetupPresto: SQL-on-Anything. Netherlands Hadoop User Group Meetup
Presto: SQL-on-Anything. Netherlands Hadoop User Group Meetup
 
PyDriller: Python Framework for Mining Software Repositories
PyDriller: Python Framework for Mining Software RepositoriesPyDriller: Python Framework for Mining Software Repositories
PyDriller: Python Framework for Mining Software Repositories
 
SDEC2011 Essentials of Pig
SDEC2011 Essentials of PigSDEC2011 Essentials of Pig
SDEC2011 Essentials of Pig
 
Achieve Blazing-Fast Ingest Speeds with Apache Arrow
Achieve Blazing-Fast Ingest Speeds with Apache ArrowAchieve Blazing-Fast Ingest Speeds with Apache Arrow
Achieve Blazing-Fast Ingest Speeds with Apache Arrow
 
Enterprise git
Enterprise gitEnterprise git
Enterprise git
 
Inside Of Mbga Open Platform
Inside Of Mbga Open PlatformInside Of Mbga Open Platform
Inside Of Mbga Open Platform
 
Dragon: A Distributed Object Storage at Yahoo! JAPAN (WebDB Forum 2017 / E...
   Dragon: A Distributed Object Storage at Yahoo! JAPAN (WebDB Forum 2017 / E...   Dragon: A Distributed Object Storage at Yahoo! JAPAN (WebDB Forum 2017 / E...
Dragon: A Distributed Object Storage at Yahoo! JAPAN (WebDB Forum 2017 / E...
 
Open Source Monitoring Tools
Open Source Monitoring ToolsOpen Source Monitoring Tools
Open Source Monitoring Tools
 
Ducksboard - A real-time data oriented webservice architecture
Ducksboard - A real-time data oriented webservice architectureDucksboard - A real-time data oriented webservice architecture
Ducksboard - A real-time data oriented webservice architecture
 
OSINT tools for security auditing [FOSDEM edition]
OSINT tools for security auditing [FOSDEM edition] OSINT tools for security auditing [FOSDEM edition]
OSINT tools for security auditing [FOSDEM edition]
 
fluent-plugin-beats at Elasticsearch meetup #14
fluent-plugin-beats at Elasticsearch meetup #14fluent-plugin-beats at Elasticsearch meetup #14
fluent-plugin-beats at Elasticsearch meetup #14
 
Updates on webSpoon and other innovations from Hitachi R&D
Updates on webSpoon and other innovations from Hitachi R&DUpdates on webSpoon and other innovations from Hitachi R&D
Updates on webSpoon and other innovations from Hitachi R&D
 
PyData: The Next Generation
PyData: The Next GenerationPyData: The Next Generation
PyData: The Next Generation
 
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...
Massively Parallel Processing with Procedural Python by Ronert Obst PyData Be...
 
PyData: The Next Generation | Data Day Texas 2015
PyData: The Next Generation | Data Day Texas 2015PyData: The Next Generation | Data Day Texas 2015
PyData: The Next Generation | Data Day Texas 2015
 
Meeting rooms are talking! are you listening?
Meeting rooms are talking! are you listening?Meeting rooms are talking! are you listening?
Meeting rooms are talking! are you listening?
 
Road to NODES - Blazing Fast Ingest with Apache Arrow
Road to NODES - Blazing Fast Ingest with Apache ArrowRoad to NODES - Blazing Fast Ingest with Apache Arrow
Road to NODES - Blazing Fast Ingest with Apache Arrow
 
Warsaw muleSoft meetup #11 MuleSoft OData
Warsaw muleSoft meetup #11 MuleSoft ODataWarsaw muleSoft meetup #11 MuleSoft OData
Warsaw muleSoft meetup #11 MuleSoft OData
 
SpagoBI 5 Demo Day and Workshop : Technology Applications and Uses
SpagoBI 5 Demo Day and Workshop : Technology Applications and UsesSpagoBI 5 Demo Day and Workshop : Technology Applications and Uses
SpagoBI 5 Demo Day and Workshop : Technology Applications and Uses
 
Improving Pandas and PySpark performance and interoperability with Apache Arrow
Improving Pandas and PySpark performance and interoperability with Apache ArrowImproving Pandas and PySpark performance and interoperability with Apache Arrow
Improving Pandas and PySpark performance and interoperability with Apache Arrow
 

More from Treasure Data, Inc.

GDPR: A Practical Guide for Marketers
GDPR: A Practical Guide for MarketersGDPR: A Practical Guide for Marketers
GDPR: A Practical Guide for MarketersTreasure Data, Inc.
 
AR and VR by the Numbers: A Data First Approach to the Technology and Market
AR and VR by the Numbers: A Data First Approach to the Technology and MarketAR and VR by the Numbers: A Data First Approach to the Technology and Market
AR and VR by the Numbers: A Data First Approach to the Technology and MarketTreasure Data, Inc.
 
Introduction to Customer Data Platforms
Introduction to Customer Data PlatformsIntroduction to Customer Data Platforms
Introduction to Customer Data PlatformsTreasure Data, Inc.
 
Hands-On: Managing Slowly Changing Dimensions Using TD Workflow
Hands-On: Managing Slowly Changing Dimensions Using TD WorkflowHands-On: Managing Slowly Changing Dimensions Using TD Workflow
Hands-On: Managing Slowly Changing Dimensions Using TD WorkflowTreasure Data, Inc.
 
Brand Analytics Management: Measuring CLV Across Platforms, Devices and Apps
Brand Analytics Management: Measuring CLV Across Platforms, Devices and AppsBrand Analytics Management: Measuring CLV Across Platforms, Devices and Apps
Brand Analytics Management: Measuring CLV Across Platforms, Devices and AppsTreasure Data, Inc.
 
How to Power Your Customer Experience with Data
How to Power Your Customer Experience with DataHow to Power Your Customer Experience with Data
How to Power Your Customer Experience with DataTreasure Data, Inc.
 
Why Your VR Game is Virtually Useless Without Data
Why Your VR Game is Virtually Useless Without DataWhy Your VR Game is Virtually Useless Without Data
Why Your VR Game is Virtually Useless Without DataTreasure Data, Inc.
 
Connecting the Customer Data Dots
Connecting the Customer Data DotsConnecting the Customer Data Dots
Connecting the Customer Data DotsTreasure Data, Inc.
 
Harnessing Data for Better Customer Experience and Company Success
Harnessing Data for Better Customer Experience and Company SuccessHarnessing Data for Better Customer Experience and Company Success
Harnessing Data for Better Customer Experience and Company SuccessTreasure Data, Inc.
 
Packaging Ecosystems -Monki Gras 2017
Packaging Ecosystems -Monki Gras 2017Packaging Ecosystems -Monki Gras 2017
Packaging Ecosystems -Monki Gras 2017Treasure Data, Inc.
 
글로벌 사례로 보는 데이터로 돈 버는 법 - 트레저데이터 (Treasure Data)
글로벌 사례로 보는 데이터로 돈 버는 법 - 트레저데이터 (Treasure Data)글로벌 사례로 보는 데이터로 돈 버는 법 - 트레저데이터 (Treasure Data)
글로벌 사례로 보는 데이터로 돈 버는 법 - 트레저데이터 (Treasure Data)Treasure Data, Inc.
 
Introduction to New features and Use cases of Hivemall
Introduction to New features and Use cases of HivemallIntroduction to New features and Use cases of Hivemall
Introduction to New features and Use cases of HivemallTreasure Data, Inc.
 
Scaling to Infinity - Open Source meets Big Data
Scaling to Infinity - Open Source meets Big DataScaling to Infinity - Open Source meets Big Data
Scaling to Infinity - Open Source meets Big DataTreasure Data, Inc.
 
Treasure Data: Move your data from MySQL to Redshift with (not much more tha...
Treasure Data:  Move your data from MySQL to Redshift with (not much more tha...Treasure Data:  Move your data from MySQL to Redshift with (not much more tha...
Treasure Data: Move your data from MySQL to Redshift with (not much more tha...Treasure Data, Inc.
 
Treasure Data From MySQL to Redshift
Treasure Data  From MySQL to RedshiftTreasure Data  From MySQL to Redshift
Treasure Data From MySQL to RedshiftTreasure Data, Inc.
 
Unifying Events and Logs into the Cloud
Unifying Events and Logs into the CloudUnifying Events and Logs into the Cloud
Unifying Events and Logs into the CloudTreasure Data, Inc.
 

More from Treasure Data, Inc. (20)

GDPR: A Practical Guide for Marketers
GDPR: A Practical Guide for MarketersGDPR: A Practical Guide for Marketers
GDPR: A Practical Guide for Marketers
 
AR and VR by the Numbers: A Data First Approach to the Technology and Market
AR and VR by the Numbers: A Data First Approach to the Technology and MarketAR and VR by the Numbers: A Data First Approach to the Technology and Market
AR and VR by the Numbers: A Data First Approach to the Technology and Market
 
Introduction to Customer Data Platforms
Introduction to Customer Data PlatformsIntroduction to Customer Data Platforms
Introduction to Customer Data Platforms
 
Hands On: Javascript SDK
Hands On: Javascript SDKHands On: Javascript SDK
Hands On: Javascript SDK
 
Hands-On: Managing Slowly Changing Dimensions Using TD Workflow
Hands-On: Managing Slowly Changing Dimensions Using TD WorkflowHands-On: Managing Slowly Changing Dimensions Using TD Workflow
Hands-On: Managing Slowly Changing Dimensions Using TD Workflow
 
Brand Analytics Management: Measuring CLV Across Platforms, Devices and Apps
Brand Analytics Management: Measuring CLV Across Platforms, Devices and AppsBrand Analytics Management: Measuring CLV Across Platforms, Devices and Apps
Brand Analytics Management: Measuring CLV Across Platforms, Devices and Apps
 
How to Power Your Customer Experience with Data
How to Power Your Customer Experience with DataHow to Power Your Customer Experience with Data
How to Power Your Customer Experience with Data
 
Why Your VR Game is Virtually Useless Without Data
Why Your VR Game is Virtually Useless Without DataWhy Your VR Game is Virtually Useless Without Data
Why Your VR Game is Virtually Useless Without Data
 
Connecting the Customer Data Dots
Connecting the Customer Data DotsConnecting the Customer Data Dots
Connecting the Customer Data Dots
 
Harnessing Data for Better Customer Experience and Company Success
Harnessing Data for Better Customer Experience and Company SuccessHarnessing Data for Better Customer Experience and Company Success
Harnessing Data for Better Customer Experience and Company Success
 
Packaging Ecosystems -Monki Gras 2017
Packaging Ecosystems -Monki Gras 2017Packaging Ecosystems -Monki Gras 2017
Packaging Ecosystems -Monki Gras 2017
 
글로벌 사례로 보는 데이터로 돈 버는 법 - 트레저데이터 (Treasure Data)
글로벌 사례로 보는 데이터로 돈 버는 법 - 트레저데이터 (Treasure Data)글로벌 사례로 보는 데이터로 돈 버는 법 - 트레저데이터 (Treasure Data)
글로벌 사례로 보는 데이터로 돈 버는 법 - 트레저데이터 (Treasure Data)
 
Keynote - Fluentd meetup v14
Keynote - Fluentd meetup v14Keynote - Fluentd meetup v14
Keynote - Fluentd meetup v14
 
Introduction to New features and Use cases of Hivemall
Introduction to New features and Use cases of HivemallIntroduction to New features and Use cases of Hivemall
Introduction to New features and Use cases of Hivemall
 
Scalable Hadoop in the cloud
Scalable Hadoop in the cloudScalable Hadoop in the cloud
Scalable Hadoop in the cloud
 
Using Embulk at Treasure Data
Using Embulk at Treasure DataUsing Embulk at Treasure Data
Using Embulk at Treasure Data
 
Scaling to Infinity - Open Source meets Big Data
Scaling to Infinity - Open Source meets Big DataScaling to Infinity - Open Source meets Big Data
Scaling to Infinity - Open Source meets Big Data
 
Treasure Data: Move your data from MySQL to Redshift with (not much more tha...
Treasure Data:  Move your data from MySQL to Redshift with (not much more tha...Treasure Data:  Move your data from MySQL to Redshift with (not much more tha...
Treasure Data: Move your data from MySQL to Redshift with (not much more tha...
 
Treasure Data From MySQL to Redshift
Treasure Data  From MySQL to RedshiftTreasure Data  From MySQL to Redshift
Treasure Data From MySQL to Redshift
 
Unifying Events and Logs into the Cloud
Unifying Events and Logs into the CloudUnifying Events and Logs into the Cloud
Unifying Events and Logs into the Cloud
 

Recently uploaded

Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxKartikeyaDwivedi3
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncssuser2ae721
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleAlluxio, Inc.
 
8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitterShivangiSharma879191
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)Dr SOUNDIRARAJ N
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxDeepakSakkari2
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)dollysharma2066
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHC Sai Kiran
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
Churning of Butter, Factors affecting .
Churning of Butter, Factors affecting  .Churning of Butter, Factors affecting  .
Churning of Butter, Factors affecting .Satyam Kumar
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxwendy cai
 

Recently uploaded (20)

9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at Scale
 
8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter8251 universal synchronous asynchronous receiver transmitter
8251 universal synchronous asynchronous receiver transmitter
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECH
 
Design and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdfDesign and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdf
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
Churning of Butter, Factors affecting .
Churning of Butter, Factors affecting  .Churning of Butter, Factors affecting  .
Churning of Butter, Factors affecting .
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
 

Treasure Data engineer introduces hotdog CLI for DataDog monitoring

  • 1. Copyright ©2015 Treasure Data. All Rights Reserved. hotdog a TD tool for DD Yamashita, Yuu (@yyuu) 
 Treasure Data, Inc. yuu@treasure-data.com March 11, 2015
  • 2. Copyright ©2015 Treasure Data. All Rights Reserved. about:yyuu • 2014/10 - Software Engineer at Treasure Data Inc. • Past: Infrastructure Engineer at Geisha Tokyo Entertainment Inc. • OSS • pyenv (github: yyuu/pyenv) • xtc (bitbucket: yyuu/xtc) • jetty-nosql-memcached (github: yyuu/jetty-nosql-memcached) • botornado (github: yyuu/botornado) • sbt-extras (github: paulp/sbt-extras) 2
  • 3. Copyright ©2015 Treasure Data. All Rights Reserved. about:yyuu 3
  • 4. Copyright ©2015 Treasure Data. All Rights Reserved. Today’s topic • hotdog - yet another command line tool for DataDog 4
  • 5. Copyright ©2015 Treasure Data. All Rights Reserved. What’s DD? 5
  • 6. Copyright ©2015 Treasure Data. All Rights Reserved. What’s DD? 6 • System metrics • dd-agent • Application metrics • fluent-logger • td-agent • fluent-plugin-metricsense
  • 7. Copyright ©2015 Treasure Data. All Rights Reserved. TD on DD 7
  • 8. Copyright ©2015 Treasure Data. All Rights Reserved. TD on DD • We have *MANY* servers on DD • BIG DATA NEEDS PROCESSORS • We have many DataDog monitors to detect failures • Send notification from DD to Slack and/or PagerDuty 8
  • 9. Copyright ©2015 Treasure Data. All Rights Reserved. TD ❤️ DD 9
  • 10. Copyright ©2015 Treasure Data. All Rights Reserved. Today’s topic • hotdog - yet another command line tool for DataDog 10
  • 11. Copyright ©2015 Treasure Data. All Rights Reserved. TD 😱 PD 11 So, what is i-XXXXXXXX?
  • 12. Copyright ©2015 Treasure Data. All Rights Reserved. How to get node info of i-XXXXXXXX? • AWS Management Console • DataDog Infrastructure List • Chef / Knife • … 12
  • 13. Copyright ©2015 Treasure Data. All Rights Reserved. My solution; hotdog 13
  • 14. Copyright ©2015 Treasure Data. All Rights Reserved. My solution; hotdog • Search hosts from DD tags • Search hosts from instance-id • Support expressions on DD tags • AND, OR, NOT • wildcard characters (‘*’, ‘?’, ‘[‘, ‘]’) • Supports cooperation with pssh/GNU Parallel 14
  • 15. Copyright ©2015 Treasure Data. All Rights Reserved. How hotdog works • Parse given expression by PEG parser 15
  • 16. Copyright ©2015 Treasure Data. All Rights Reserved. How hotdog works • Parse given expression by PEG parser • Get tag->hosts map from “GET /api/v1/tags/hosts” 16
  • 17. Copyright ©2015 Treasure Data. All Rights Reserved. How hotdog works • Parse given expression by PEG parser • Get tag->hosts map from “GET /api/v1/tags/hosts” • Build host<->tag index on on-memory SQLite 17
  • 18. Copyright ©2015 Treasure Data. All Rights Reserved. How hotdog works • Parse given expression by PEG parser • Get tag->hosts map from “GET /api/v1/tags/hosts” • Build host<->tag index on on-memory SQLite • Evaluate the expression 18
  • 19. Copyright ©2015 Treasure Data. All Rights Reserved. How hotdog works • Parse given expression by PEG parser • Get tag->hosts map from “GET /api/v1/tags/hosts” • Build host<->tag index on on-memory SQLite • Evaluate the expression • Print the results in specified format (text, json, yam, etc.) 19 small expression interpreter based on parslet
  • 20. Copyright ©2015 Treasure Data. All Rights Reserved. How hotdog works • https://github.com/yyuu/hotdog 20
  • 21. Copyright ©2015 Treasure Data. All Rights Reserved. WE ARE HIRING! 21 Check: www.treasuredata.com