Introducing Cloud Inference API: uncover insights from large scale, typed time-series data Whether businesses are measuring clicks, queries, or sensor readings, they’re often generating time series or event-driven data. Analyzing this data offers businesses the potential to uncover insights in real time, but oftentimes it also means building a learning system that can scale to millions or even bil
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? tl; dr Envoyとgo-control-planeを利用すれば、そこそこ手軽にサービスメッシュを作ることができます。 ソースコードとサンプルはこちらにあります。 meshem: https://github.com/rerorero/meshem サービスメッシュとは サービスメッシュは、マイクロサービスが抱える問題を解決するためのアーキテクチャのひとつです。2017年にLinkerdを開発しているBuoyant社のCTOが使うようになり、広まったとされています。 What's a service mesh? And why d
Zalando’s software architecture centers around decoupled microservices that provide functionality via RESTful APIs with a JSON payload. Small engineering teams own, deploy and operate these microservices in their AWS (team) accounts. Our APIs express most purely what our systems do, and are therefore highly valuable business assets. Designing high-quality, long-lasting APIs has become even more cr
License: CC-BY-SA 3.0 © Zalando SE 2020 & CC-BY-SA 3.0 © kawasima 2020 Zalandoのソフトウェアアーキテクチャは、疎結合なマイクロサービスを中心としており、 それらはJSONペイロードをもつRESTful API群によって、機能が提供されています。 小さなエンジニアのチームは、自分たちでAWSアカウントにこれらのマイクロサービスを デプロイしたり運用したりしています。 私たちのAPIは、その多くが私たちのシステムが何をするのかを完全に表現しており、 それゆえに貴重なビジネス資産となっています。 Zalandoがとあるオンラインショップから価値あるファッションプラットフォームへと変貌を とげるために、私たちは新しいオープンプラットフォーム戦略の展開をはじめました。 なので、高品質で長持ちするAPIの設計は、私たちにとっ
For all the buzz about microservices and API gateways, finding specifics can prove surprisingly difficult. I am reminded of the cartoon by Sidney Harris where the first step of a complex mathematical formula is presented, then a miracle occurs, and the sudden appearance of the glorious solution prompts an observer to comment that perhaps we should be more explicit in step two. Since these patterns
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JSON is a lightweight format that is nearly ubiquitous for data-exchange. jq is a command-line tool for parsing JSON. Most of the popular API and data services use the JSON data format, so we'll learn how it's used to serialize interesting information, and how to use the jq to parse it at the command-line. JSON - a lightweight data format JSON stands for JavaScript Object Notation and is nearly ub
Woops! Something went wrong and we're unable to generate a response at the moment. Please try again later. Disclaimer: AI-generated summaries may contain errors, omissions, or misinterpretations. For the full context please read the content below. “The key abstraction of information in REST is a resource. Any information that can be named can be a resource: a document or image, a temporal service
If you need to develop a REST API for a database-driven application, it’s almost irresistible not to use the database tables as REST resources, the four HTTP methods as CRUD operations, and then simply expose your thinly-wrapped database as a REST API: OperationHTTPSQLCreatePOSTINSERTReadGETSELECTUpdatePUTUPDATEDeleteDELETEDELETEThe mapping between SQL and HTTP is deceptively simple. The problem i
Hypermedia as the engine of application state (HATEOAS) is a constraint of the REST software architectural style that distinguishes it from other network architectural styles.[1] With HATEOAS, a client interacts with a network application whose application servers provide information dynamically through hypermedia. A REST client needs little to no prior knowledge about how to interact with an appl
steps toward the glory of REST A model (developed by Leonard Richardson) that breaks down the principal elements of a REST approach into three steps. These introduce resources, http verbs, and hypermedia controls. 18 March 2010 Recently I've been reading drafts of Rest In Practice: a book that a couple of my colleagues have been working on. Their aim is to explain how to use Restful web services t
Send feedback API design guide Stay organized with collections Save and categorize content based on your preferences. Changelog Introduction This is a general design guide for networked APIs. It has been used inside Google since 2014 and is the guide that Google follows when designing Cloud APIs and other Google APIs. This design guide is shared here to inform outside developers and to make it eas
Google today announced the public beta launch of its Cloud Natural Language API, a new service that gives developers access to Google-powered sentiment analysis, entity recognition, and syntax analysis. This new API joins Google’s other pre-trained machine-learning APIs like the Cloud Speech API, which is now also available in public beta, the Vision API and the Translate API. The new Cloud Natura
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