On 16 November 2011, Japan Embedded Systems Technology Association (JASA) announced that Platform Research Group of Engineering division has started work on the specification of OpenEL (Embedded Libraries) for Robot.
OpenEL for Robot is an open platform to standardize the specifications of the software implementation of robotics and control systems.
This is the Japanese version of the presentation materials that were presented at Embedded Technology 2011 in Japan. The English version is under construction.
On 16 November 2011, Japan Embedded Systems Technology Association (JASA) announced that Platform Research Group of Engineering division has started work on the specification of OpenEL (Embedded Libraries) for Robot.
OpenEL for Robot is an open platform to standardize the specifications of the software implementation of robotics and control systems.
This is the Japanese version of the presentation materials that were presented at Embedded Technology 2011 in Japan. The English version is under construction.
Literate Computing for Infrastructure - インフラ・コード化の実践におけるIPython (Jupyter) Not...No Bu
Presented at SC2015-6 on 6/3/2015 for ..
Infrastructure as Code meets IPython Notebook to be Literate Computing
IEICE Tech. Rep., vol. 115, no. 72, SC2015-6, pp. 27-32, June 2015.
Abstract: Cloud has put the pressure to rapidly build systems and frequently re-configure services, then Infrastructure as Code has come beyond the simple automation. The approach treats the configuration of systems the same way that software source code is treated. Infrastructure is validated and processed “as Code” with management tools. However, as Code is not limited only about the intelligent automation, but also about the communication based on code for reviewing, reproducing, customizing, and reusing. It is as important to be able to share information and processes with others, as to actually automate complex operations for infrastructures. IPython Notebook is a useful tool to both describe automated operations with code (and configuration data) and share predicted and reproducible outcomes with others, technical and non-technical alike.
IPython Notebook is a “literate computing” tool, which enables us to share stories about infrastructure’s design and elaborated workflows. We will share our experience how the literate stories are also useful for various customer communications as tracing individual issue, promoting self-administration etc.
Keywords DevOps, Infrastructure as Code, Literate Computing, IPython Notebook, Jupyter
インフラ・コード化の実践におけるIPython Notebookの適用
信学技報, vol. 115, no. 72, SC2015-6, pp. 27-32, 2015年6月
あらまし: クラウドサービスの浸透により,サービスの構築・再構築の機会が増加するのに伴って,作業手順をすべてCodeとして記述するInfrastructures as Codeというアプローチが着目されている.ここでの“as Code”は作業手順の正当性がプログラムコードのように,また実行結果も機械的に検証可能であるという意味合いで捉えられがちであるが,むしろ個々の作業の再現性を保証し,その上で作業をカスタマイズ・再利用すると言ったプロセス自体を,Codeとして見える化し,伝達可能にすることにこそ意義がある.DevOpsに於いては,何某かを実際に構築したり機械化したりするだけではなく,設計情報,運用状態を伝達・共有できるようにすることが重要である.
“Literate Computing”ツールと呼ばれ,ワークフローと実行結果を一体としてドキュメント化できるIPython Notebookを,基盤の構築,運用に適用する方式を提案すると共に,具体的な適用によってワークフローをどのように改善することができたかを報告する.
キーワード DevOps, Infrastructure as Code, Literate Computing, IPython Notebook, Jupyter
Literate Computing for Infrastructure - インフラ・コード化の実践におけるIPython (Jupyter) Not...No Bu
Presented at SC2015-6 on 6/3/2015 for ..
Infrastructure as Code meets IPython Notebook to be Literate Computing
IEICE Tech. Rep., vol. 115, no. 72, SC2015-6, pp. 27-32, June 2015.
Abstract: Cloud has put the pressure to rapidly build systems and frequently re-configure services, then Infrastructure as Code has come beyond the simple automation. The approach treats the configuration of systems the same way that software source code is treated. Infrastructure is validated and processed “as Code” with management tools. However, as Code is not limited only about the intelligent automation, but also about the communication based on code for reviewing, reproducing, customizing, and reusing. It is as important to be able to share information and processes with others, as to actually automate complex operations for infrastructures. IPython Notebook is a useful tool to both describe automated operations with code (and configuration data) and share predicted and reproducible outcomes with others, technical and non-technical alike.
IPython Notebook is a “literate computing” tool, which enables us to share stories about infrastructure’s design and elaborated workflows. We will share our experience how the literate stories are also useful for various customer communications as tracing individual issue, promoting self-administration etc.
Keywords DevOps, Infrastructure as Code, Literate Computing, IPython Notebook, Jupyter
インフラ・コード化の実践におけるIPython Notebookの適用
信学技報, vol. 115, no. 72, SC2015-6, pp. 27-32, 2015年6月
あらまし: クラウドサービスの浸透により,サービスの構築・再構築の機会が増加するのに伴って,作業手順をすべてCodeとして記述するInfrastructures as Codeというアプローチが着目されている.ここでの“as Code”は作業手順の正当性がプログラムコードのように,また実行結果も機械的に検証可能であるという意味合いで捉えられがちであるが,むしろ個々の作業の再現性を保証し,その上で作業をカスタマイズ・再利用すると言ったプロセス自体を,Codeとして見える化し,伝達可能にすることにこそ意義がある.DevOpsに於いては,何某かを実際に構築したり機械化したりするだけではなく,設計情報,運用状態を伝達・共有できるようにすることが重要である.
“Literate Computing”ツールと呼ばれ,ワークフローと実行結果を一体としてドキュメント化できるIPython Notebookを,基盤の構築,運用に適用する方式を提案すると共に,具体的な適用によってワークフローをどのように改善することができたかを報告する.
キーワード DevOps, Infrastructure as Code, Literate Computing, IPython Notebook, Jupyter
API Meetup Tokyo #29 ニッポンのAPIエコノミー最前線 〜国産APIが社会を変える~ セッション資料
AOSテクノロジーズ株式会社 丸山耕二さん
AOSテクノロジーズが運営しているメディア「APIbank」の中の人として、メディアから見た国産APIの現状と未来へ向けた課題をお話しします。それぞれ、APIbankのデータと国産API提供者へのインタビューを元にお伝えする予定です。
This document discusses using GraphQL with Shopify's API. It notes some advantages of GraphQL over REST APIs, such as allowing clients to specify exactly which fields they need in a single request. It also provides examples of Shopify projects that use GraphQL and links to documentation and SDKs for building customized shopping experiences using the Storefront API. In summary, GraphQL allows more flexible data fetching and is now used internally by Shopify for mobile apps.
Shopify is an e-commerce platform founded in 2006 that now has over 600,000 merchants using its services worldwide. It provides tools for merchants to build and customize online stores, and also offers services for payment processing, shipping/fulfillment, marketing and sales. Shopify has offices around the world including its headquarters in Ottawa, Canada and offices in major tech hubs like San Francisco. It aims to make e-commerce simple and empower merchants of all sizes to easily build and grow their businesses online.
Augusto Marietti is the co-founder and CEO of Mashape, an API management platform. He grew up in Italy and Milan, studied there but dropped out to found Mashape with no money or connections in the US. He has since raised over $10M from investors like Bezos, Index and CRV. Mashape has offices in SF, Toronto and London and grew its headcount by 2x in 8 months. It offers four main products: Kong API gateway, Gelato developer portal, Galileo API analytics, and an API marketplace. Marietti is in Japan for the first time to enjoy sushi and Kobe beef and discuss how Kong supports the OpenAPI Specification.