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How to buy Tokyo Disneyland tickets at a cheaper price. （Japanese）

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 ありがとうございます。5月平日に大人2人と2歳のお子様で東京ディズニーランドに行かれるご予定とのことですね。企業の福利厚生によるチケット購入は今回は使えないとのことなので、それ以外で少しでもお得にチケットを購入できる方法をお調べします。 東京ディズニーランド1日券をお得に購入する方法 まず前提として、2歳のお子様は東京ディズニーランドではパークチケットが不要（3歳以下は無料）です ( 〖公式〗〖パークチケット〗何才から必要ですか？｜パークチケット｜よくあるご質問｜東京ディズニーリゾート )。 したがって今回は 大人2名分の1デーパスポート だけ用意すれば大丈夫です。2025年5月の大人通常料金は一人あたり￥9,900ぐらいとなっています ( 〖公式〗2025年5月の東京ディズニーランド|東京ディズニーランド )。これより少しでも安く、またはお得にチケットを入手できる方法を、以下に条件別にまとめました。それぞれ 利点 と**注意点（リスク・条件）**も併せて解説します。 公式の割引プログラムを利用する 公式から提供されている割引チケットや会員向けプログラムを活用する方法です。 ファンダフル・ディズニー・パスポート（公式ファンクラブ割引） 東京ディズニーリゾートの公式ファンクラブ「ファンダフル・ディズニー」に入会すると、特定日の1デーパスポートが通常より安く購入できます ( 〖2025年4月〗ディズニーランドの割引方法17選！チケットの値段を安くする方法は？ )。割引額は 大人1枚あたり500円 （小人300円）で、ご家族分も割引対象になります ( ディズニーにお得に入る3つの方法 「GWでも7%ポイント還元」のクレカは？ | dメニューマネー（NTTドコモ） )。例えば対象日に大人2名で利用すれば計1,000円お得になります。 利点: 正規ルートながら割引が受けられる安心感があり、ホテル宿泊10%割引など他の会員特典もあります ( ディズニーにお得に入る3つの方法 「GWでも7%ポイント還元」のクレカは？ | dメニューマネー（NTTドコモ） )。 注意点: 年会費が5,940円かかる ため、チケット割引だけで元を取るのは難しいです ( ディズニーにお得に入る3つの方法 「GWでも7%ポイント還元」のクレカは？ | dメニューマネ...
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How to install Cursor in Ubuntu

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# How to Install and Run Cursor on Ubuntu 24.04 Without FUSE: A Complete Guide If you're using Ubuntu 24.04 and want to try out the Cursor application, you're in for a treat. Cursor is a modern code editor designed to streamline coding workflows with AI-enhanced features, making it an essential tool for developers. However, **Ubuntu 24.04 does not support `libfuse2`**, which is essential for running many AppImages traditionally. This guide provides an alternative method for running Cursor without installing FUSE. ## What Is Cursor? Cursor is an AI-powered code editor designed to provide an efficient and intuitive coding experience. It offers features like intelligent code completion, error detection, and an integrated AI assistant that helps optimize code and automate routine tasks. Cursor supports multiple programming languages, making it a versatile tool for developers on Linux systems. ## Alternative Method: Running Cursor Without FUSE If you're facing issues with FUSE o...
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Build JupyterNotebook(Anaconda) environment in AWS EC2

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Key words: JupyterNotebook, Anaconda, AWS, EC2, Proxy, Winscp, Putty, DeepLearning <Background> The company employs a proxy server, through which all external connections must pass. Company computers utilize Virtual Desktop Infrastructure (VDI), restricting the installation of large software such as Anaconda. <Task> As a Deep Learning engineer, it is necessary to set up a Jupyter Notebook environment on AWS cloud. However, services like SageMaker are costly, thus requiring a self-built environment on AWS EC2. <AWS EC2 Configuration> Create an EC2 Instance with the following specifications: AMI: Ubuntu/Amazon Linux 2 AMI CPU: t3.large VPC: Public subnet with an Internet Gateway (IGW) Elastic IP: Required, as dynamic IP addresses are prone to firewall interception. Security Group: Inbound ports 8081 (Jupyter) and 22 (SSH) should be open; all outbound ports should be accessible. Storage: Minimum of 16GB, as Anaconda alone requires 9GB. Key Pair: Generate an RSA key pair,...
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AWS Notes - Network - TransferFamily(Transfer) connect with EFS

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1. AWS EC2 connects to EFS create EFS and create EC2 EFS's DNS:fs-XXXXXXX.efs.ap-northeast-1.amazonaws.com add security group add nfs port(2049) to EFS inbound rules (IP: EC2's local IP) use the command below to mound the EFS to EC2 a. install efs tools sudo yum install amazon-efs-utils b.mount the EFS sudo mount -t efs -o tls fs-XXXXX:/ ~/efs-mount 2. Create Transfer Create transferFamily's Endpoint Protocols: SFTP Identity Provider: Service Managed Endpoint : s-XXXXXXXXX.server.transfer.ap-northeast-1.amazonaws.com Endpoint Type: Public 3. Create User to connect Transfer to EFS Create a role to connect transfer to EFS a.Create Policies { "Version": "2012-10-17", "Statement": [ { "Sid": "GrantTransferRoleAccess", "Effect": "Allow", "Action": [ "elasticfilesystem:ClientRootAccess", "elasticfilesystem:ClientWrite", "elasticfilesystem:ClientMount" ], "Resource...
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AWS Notes - DevOps - OpsWorks

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AWS OpsWorks = Managed Chef & Puppet Feature Chef & Puppet help you perform server configuration automatically, or repetitive actions. Work Great with EC2 & On-premise VM Better for users of Chef & Pupper, Not good to migrating from other tech. Chef has more detailed configuration than Beanstalk
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AWS Notes - Compute - Elastic Beanstalk

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Features PaaS Service Support Blue/Green Deployment (Use Route53) No additional charge for Elastic Beanstalk, Just pay for underlying AWS resources the application consumes. 3 Architecture Models Single Instance: For Dev LB+ASG: For Prod Web App ASG only: For non-web apps in Prod 2 AWS IAM roles: Service role: Assumed by Elastic Beanstalk to use other AWS services on your behalf Instance profile: applied to the instances in your environment and allows them to retrieve information, perform tasks that vary depending on the environment type and platform. Reference:  https://tutorialsdojo.com/aws-elastic-beanstalk/ Udemy: https://www.udemy.com/course/aws-solutions-architect-professional/
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AWS Notes - Migrations - On-premises strategy with AWS

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Application Discovery Service Gather information of on-premise servers to plan a migration Track with Migration Hub Server utilization and dependency mappings Application Migration Service Replacing SMS(Server Migration Services) Incremental replication of on-premises live servers to AWS Migrate the entire VM into AWS Elastic Disaster Recovery Replacing CloudEndure Disaster Recovery Recover on-premises workloads onto AWS Database Migration Service Reference Udemy: https://www.udemy.com/course/aws-solutions-architect-professional/
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