サーバレスアプリケーションの入門と実践 - AWS Cloud Roadshow 2017 Osaka

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The document appears to be a presentation from Amazon Web Services (AWS) on serverless computing. It discusses AWS services for computing, storage, databases, APIs, messaging and queues. It provides examples of building serverless applications using AWS Lambda, API Gateway, DynamoDB and other services. Code examples are given for deploying a serverless express application on AWS. The presentation encourages developers to try building serverless applications using AWS services.

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Web Services Japan K.K.
Takayuki Shimizu, Solutions Architect
2017. 9. 21
AWS Cloud Roadshow 2017

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Lambda Amazon DynamoDB
Amazon SNS
Amazon API Gateway
Amazon SQS
Amazon Kinesis
Amazon S3
Orchestration and State Management
API Proxy Messaging and Queues Analytics
Monitoring and Debugging
Compute Storage Database
AWS X-RayAWS Step Functions
Edge Compute
AWS Greengrass
Lambda@Edge

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
/books GET

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
$ aws cloudformation pakage
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$ aws cloudformation deploy
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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
https://github.com/awslabs/serverless-application-model/tree/master/examples/2016-10-31

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
$ npm run config -- --account-id="<accountId>"
--bucket-name="<bucketName>"
[--region="<region>" --function-name="<functionName>"]
$ npm run setup
(snip) Successfully created/updated stack – AwsServerlessExpressStack

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
$ curl https://avcitqw9p6.execute-api.us-east-1.amazonaws.com/prod/users -H
'accept: application/json'
[{"id":1,"name":"Joe"},{"id":2,"name":"Jane"}]

$© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. GET https://(snip)/sam $ curl -Iso /dev/null https://avcitqw9p6.execute-api.us-east-1.amazonaws.com/prod -w '%{content_type}' text/html; charset=utf-8$

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
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AWS

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Going Serverless !
Thank you

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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster. However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks. In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.

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Do you want to learn how to model and simulate an electrical network from scratch in under an hour? Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)! During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook. PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides: - A fully editable and extendable library for grid component modelling; - Visualization tools to display your network; - Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses; The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well. What you will learn during the webinar: - For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills; - For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.

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This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second). Paper: https://eprint.iacr.org/2023/1886

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10. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Lambda Amazon DynamoDB Amazon SNS Amazon API Gateway Amazon SQS Amazon Kinesis Amazon S3 Orchestration and State Management API Proxy Messaging and Queues Analytics Monitoring and Debugging Compute Storage Database AWS X-RayAWS Step Functions Edge Compute AWS Greengrass Lambda@Edge

49. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. $ git clone https://github.com/awslabs/aws-serverless-express $ cd aws-serverless-express/example $ ls -1 README.md api-gateway-event.json app.js app.local.js cloudformation.yaml lambda.jspackage.json sam-logo.png scripts simple-proxy-api.yaml vanilla-server.js views

50. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. $ npm run config -- --account-id="<accountId>" --bucket-name="<bucketName>" [--region="<region>" --function-name="<functionName>"] $ npm run setup (snip) Successfully created/updated stack – AwsServerlessExpressStack

51. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. $ curl https://avcitqw9p6.execute-api.us-east-1.amazonaws.com/prod/users -H 'accept: application/json' [{"id":1,"name":"Joe"},{"id":2,"name":"Jane"}]

52. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. GET https://(snip)/sam $ curl -Iso /dev/null https://avcitqw9p6.execute-api.us-east-1.amazonaws.com/prod -w '%{content_type}' text/html; charset=utf-8

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