Introducing Cloud Inference API: uncover insights from large scale, typed time-series data Whether businesses are measuring clicks, queries, or sensor readings, theyâre 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 Envoyã¨go-control-planeãå©ç¨ããã°ãããããæ軽ã«ãµã¼ãã¹ã¡ãã·ã¥ãä½ããã¨ãã§ãã¾ãã ã½ã¼ã¹ã³ã¼ãã¨ãµã³ãã«ã¯ãã¡ãã«ããã¾ãã meshem: https://github.com/rerorero/meshem ãµã¼ãã¹ã¡ãã·ã¥ã¨ã¯ ãµã¼ãã¹ã¡ãã·ã¥ã¯ããã¤ã¯ããµã¼ãã¹ãæ±ããåé¡ã解決ããããã®ã¢ã¼ããã¯ãã£ã®ã²ã¨ã¤ã§ãã2017å¹´ã«Linkerdãéçºãã¦ããBuoyant社ã®CTOã使ãããã«ãªããåºã¾ã£ãã¨ããã¦ãã¾ãã What's a service mesh? And why d
Zalandoâs 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 Zalandoã®ã½ããã¦ã§ã¢ã¢ã¼ããã¯ãã£ã¯ãççµåãªãã¤ã¯ããµã¼ãã¹ãä¸å¿ã¨ãã¦ããã ãããã¯JSONãã¤ãã¼ãããã¤RESTful API群ã«ãã£ã¦ãæ©è½ãæä¾ããã¦ãã¾ãã å°ããªã¨ã³ã¸ãã¢ã®ãã¼ã ã¯ãèªåãã¡ã§AWSã¢ã«ã¦ã³ãã«ãããã®ãã¤ã¯ããµã¼ãã¹ã ãããã¤ãããéç¨ããããã¦ãã¾ãã ç§ãã¡ã®APIã¯ããã®å¤ããç§ãã¡ã®ã·ã¹ãã ãä½ãããã®ããå®å ¨ã«è¡¨ç¾ãã¦ããã ããããã«è²´éãªãã¸ãã¹è³ç£ã¨ãªã£ã¦ãã¾ãã Zalandoãã¨ãããªã³ã©ã¤ã³ã·ã§ãããã価å¤ãããã¡ãã·ã§ã³ãã©ãããã©ã¼ã ã¸ã¨å¤è²ã ã¨ããããã«ãç§ãã¡ã¯æ°ãããªã¼ãã³ãã©ãããã©ã¼ã æ¦ç¥ã®å±éãã¯ããã¾ããã ãªã®ã§ãé«å質ã§é·æã¡ããAPIã®è¨è¨ã¯ãç§ãã¡ã«ã¨ã£
Design Patterns in API Gateways and MicroservicesWritten by: Everett Griffiths 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 co
GitHub has a JSON API, so let's play with that. This URL gets us the last 5 commits from the jq repo. curl 'https://api.github.com/repos/jqlang/jq/commits?per_page=5' Show result [ { "sha": "cff5336ec71b6fee396a95bb0e4bea365e0cd1e8", "node_id": "C_kwDOAE3WVdoAKGNmZjUzMzZlYzcxYjZmZWUzOTZhOTViYjBlNGJlYTM2NWUwY2QxZTg", "commit": { "author": { "name": "Mattias Wadman", "email": "mattias.wadman@gmail.c
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
âThe 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 (e.g. "today's weather in Los Angeles"), a collection of other resources, a non-virtual object (e.g. a person), and so on. In other words, any concept that might be the target of an author's hypertext reference must fit within the definition of a r
If you need to develop a REST API for a database-driven application, itâs 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. 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 applica
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
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