マイクロサ`ビスr旗のJ^とJ辛 - AWS Dev Day Tokyo 2018 #AWSDevDay脅圷ダイスケ Miyamoto
?
マイクロサ`ビスが}を鹿め、コンポ`ネントの識堀な API 晒がMんでいます。
J^やJ辛は、麼にエンドユ`ザとシステムのgの}だとJRされますが、書やコンポ`ネントgのサ`ビス柵び竃しにおいても嶷勣な叨護を毅っています。
}jに秘りMんだマイクロサ`ビスgのJ^とJ辛について、gHに_kしている API プラットフォ`ムのg箭を圷に、g樹議な岑をお擦┐靴泙后
AWS Japan YouTube 巷塀チャンネルでライブ塘佚された 2022定4埖26晩の AWS Developer Live Show 仝Infrastructure as Code h 2022々 のY創となります。 輝晩の塘佚はこちら からご_Jいただけます。
https://youtu.be/ed35fEbpyIE
JJUG CCC 2019 Fall のk燕Y創になります。
OpenAPI Generator を聞って弌トな Web API サ`バ`を_kしたときのUYやノウハウをまとめたものです。
https://ccc2019fall.java-users.jp/
https://jjug-cfp.cfapps.io/submissions/92e3117f-d911-4674-b97b-581813cfa0dc
The document discusses Amazon SageMaker and machine learning capabilities on AWS. It provides an overview of SageMaker's capabilities for labeling data, developing machine learning models using built-in algorithms or frameworks like TensorFlow and MXNet, and deploying models for inference. It also discusses tools for distributed training, model optimization with SageMaker Neo, and reducing inference costs with Elastic Inference.
AWS Japan YouTube 巷塀チャンネルでライブ塘佚された 2022定4埖26晩の AWS Developer Live Show 仝Infrastructure as Code h 2022々 のY創となります。 輝晩の塘佚はこちら からご_Jいただけます。
https://youtu.be/ed35fEbpyIE
JJUG CCC 2019 Fall のk燕Y創になります。
OpenAPI Generator を聞って弌トな Web API サ`バ`を_kしたときのUYやノウハウをまとめたものです。
https://ccc2019fall.java-users.jp/
https://jjug-cfp.cfapps.io/submissions/92e3117f-d911-4674-b97b-581813cfa0dc
The document discusses Amazon SageMaker and machine learning capabilities on AWS. It provides an overview of SageMaker's capabilities for labeling data, developing machine learning models using built-in algorithms or frameworks like TensorFlow and MXNet, and deploying models for inference. It also discusses tools for distributed training, model optimization with SageMaker Neo, and reducing inference costs with Elastic Inference.
The document discusses Java programming and transactions. It describes reading transaction data from a CSV file, parsing the data into Transaction objects, and summarizing the transaction amounts. It covers improvements such as using generics, try-with-resources for file handling, LocalDate instead of Date, and various Java features between versions.
Business Process Modeling in Goldman Sachs @ JJUG CCC Fall 2017tty fky
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This is a presentation to talk about business process modeling in Goldman Sachs which presented in Japan Java User Group Cross Community Conference Fall 2017.
Another compilation method in java - AOT (Ahead of Time) compilationLogico
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The document discusses ahead-of-time (AOT) compilation in Java, which generates native machine code from Java bytecode ahead of runtime. AOT compilation was introduced in Java 9 as experimental and allows precompiling Java classes into shared library files that can be loaded by multiple JVMs. Benefits of AOT include faster startup times and improved performance by avoiding interpretation and just-in-time compilation overhead, though it currently has limitations such as only supporting Linux x64 and requiring the same system configuration.
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
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What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
5. とりあえず _kC (PC) に
Docker 秘れましょう
? Docker CE for Mac
? https://store.docker.com/editions/community/docker-ce-desktop-
mac
? Docker CE for Windows
? https://store.docker.com/editions/community/docker-ce-desktop-
windows
6. どんな_kh廠を恬るか
? Gradle (恷仟井) with OpenJDK 8
ビルドh廠
? WildFly 10.1.0.Final
デプロイh廠 (Java EE サ`バ)
? MySQL 5.6
デ`タベ`ス