Help us understand the problem. What is going on with this article?

BlockChainの実用に向けての調査

調べること

  • Blockchain Template (無料枠はないか), hyperledgerFablic
  • シンクラPCにブロックチェーン使えないか、ローカルでhyperledgerFablic

pythonでブロックチェーンを体感する

まず、ハッシュ、プルーフといった基礎ワードの理解と、どういう仕組みでデータ改ざんに強いのかを知る。
https://www.sejuku.net/blog/75079
https://www.slideshare.net/oracle4engineer/ochacafe-4-hyperledger-fabric
https://hyperledger-fabric.readthedocs.io/en/release-1.4/

memo

Amazon ECS(Elastic Container Service)

AWS Managed Blockchainの概要
https://dev.classmethod.jp/cloud/aws/amazon-managed-blockchain-introduce/

AWS Managed Blockchainの歩き方 #1 環境構築トランザクション実行編
https://qiita.com/ksukenobe/items/fde330ccdf6ef7031050

Dockerを使って1サーバーで複数Webサービスを運用する
https://qiita.com/miyasakura_/items/5cd3b05aa9c5e4f3f4be

AWSのEC2でDockerを試してみる
https://qiita.com/yumatsud/items/33bc22f7d8f640a286f4

WS Lambda上のheadless chromeをPythonで動かす
https://qiita.com/nabehide/items/754eb7b7e9fff9a1047d

Amazon Managed BlockchainがリリースされたのでHyperledger Fabricも合わせて情報をまとめてみた
https://qiita.com/kai_kou/items/5a968f42c5f96296f6fe

AWS LambdaにPythonコードをzipでアップロードして実行する方法を詳しく
https://www.suzu6.net/posts/83-lambda-zip/

AWS LambdaにLayerなるものが追加されたのでPythonで簡単に使ってみる #reinvent
https://dev.classmethod.jp/server-side/python/lambda-layer-simply-use-by-python/

AWS 模試
https://book.impress.co.jp/books/1118101069

□ IBM資料
https://www.scsk.jp/lib/product/oss/pdf/Hyperledger_1.pdf
http://www.maff.go.jp/j/shokusan/fcp/whats_fcp/attach/pdf/up180831-2/1_IBM_blockchain_document.pdf

■ AWS online seminer
https://pages.awscloud.com/event_JAPAN_GetCert-20190823_LP.html

Why not register and get more from Qiita?
  1. We will deliver articles that match you
    By following users and tags, you can catch up information on technical fields that you are interested in as a whole
  2. you can read useful information later efficiently
    By "stocking" the articles you like, you can search right away
Comments
No comments
Sign up for free and join this conversation.
If you already have a Qiita account
Why do not you register as a user and use Qiita more conveniently?
You need to log in to use this function. Qiita can be used more conveniently after logging in.
You seem to be reading articles frequently this month. Qiita can be used more conveniently after logging in.
  1. We will deliver articles that match you
    By following users and tags, you can catch up information on technical fields that you are interested in as a whole
  2. you can read useful information later efficiently
    By "stocking" the articles you like, you can search right away
ユーザーは見つかりませんでした