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ec2ã«é–¢ã™ã‚‹fhisaã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (7)

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Vagrant - naoyaã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼
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fhisa 2015/06/11
vagrant

ec2

aws
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Vagrant 1.1 ã§ EC2 ã‚’ vagrant up - naoyaã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼
Vagrant 1.1 ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¾ã—ãŸã€‚ Vagrant ã¯ä»®æƒ³ã‚µãƒ¼ãƒãƒ¼ã®ãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰ã®ãƒ„ãƒ¼ãƒ«ã€è©³ã—ãã¯ Vagrant - naoyaã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼ ã‚ãŸã‚Šã‚’ã€‚ ã§ã€ã“ã® 1.1 ãŒ 1.0 â†’ 1.1 ã¨ã„ã†å‰²ã«çµæ§‹å¤§ããªã‚¢ãƒƒãƒ—ãƒ‡ãƒ¼ãƒˆã§æ–°ã—ã VM ã« VirtualBox ä»¥å¤–ã®ã‚‚ã®ãŒé¸æŠžã§ãã‚‹ã‚ˆã†ã«ãªã£ãŸã€‚ã™ãªã‚ã¡ã€ŒVirtualBox ã®ãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰ = Vagrantã€ã‹ã‚‰ã€Œå„ç¨®ä»®æƒ³ãƒžã‚·ãƒ³ã®ãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰ = Vagrantã€ã¨ã„ã†é¢¨ã«ã‚¢ãƒƒãƒ—ãƒ‡ãƒ¼ãƒˆã•ã‚ŒãŸã€‚ ä»Šå›žã® 1.1 ã‹ã‚‰VMã‚’æ“ä½œã™ã‚‹providerãŒãƒ—ãƒ©ã‚°ã‚¤ãƒ³æ§‹é€ ã¨ãªã‚Šã€VirtualBoxã ã‘ãªã‚‰ãšã€å…¬å¼ã§æ“ä½œã§ãã‚‹å¯¾è±¡ãŒå¢—ãˆã¾ã—ãŸã€‚ VirtualBox VMware Fusion Amazon EC2 + VPC Rackspace Cloud VMware Fusionä»¥å¤–ã¯ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã§å…¬é–‹ã•
fhisa 2015/06/11
ec2

vmware fusion

vagrant

aws
ãƒªãƒ³ã‚¯
VMware fusionã‹ã‚‰AWS EC2ã¸ã®ç§»å‹• - Qiita
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fhisa 2015/03/03
vmware

vmware fusion

aws

ami

ec2
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ç¶²å…ƒHMVï¼ˆAWS EC2 t2.micro + WordPressï¼‰ã®å€‹äººãƒ–ãƒã‚°å‘ã‘ã‚¨ã‚³ãªé‹ç”¨ã¨ãŠå€¤æ®µ | Gatespace's Blog
ç¶²å…ƒã‚’ t2.micro ã«ç§»è¡Œã—ã¦é€šå¸¸é‹è»¢ã‚’1ãƒ¶æœˆè¡Œã£ãŸã®ã§ã€ã–ã£ãã‚Šã¨ãŠã™ã™ã‚ã®è¨å®šã¨PVã‚„æ–™é‡‘ã®é–¢ä¿‚æ€§ã‚’æ›¸ã„ã¦ã¿ãŸã„ã¨æ€ã„ã¾ã™ã€‚ ã‚ãã¾ã§ã‚‚ç§ã®å ´åˆã§ã™ã®ã§ã€PVæ•°ï¼ˆè»¢é€é‡ï¼‰ã‚„è¨˜äº‹æ•°ã€æ›´æ–°é »åº¦ã«ã‚ˆã£ã¦ç•°ãªã‚Šã¾ã™ã®ã§ç›®å®‰ã¨ã—ã¦ãŠè€ƒãˆãã ã•ã„ã€‚ AWSã®æ–™é‡‘ä½“ç³»ï¼ˆEC2ã€S3ã€Route53ã€MarketPlaceï¼‰ AWS ã® Billing & Cost Management ã«ãƒã‚°ã‚¤ãƒ³ã—ã¾ã™ã€‚ å·¦å´ã®ã€Œè«‹æ±‚æ›¸ï¼ˆBillsï¼‰ã€ã§æœˆæ¯Žã«æ–™é‡‘ã®æ˜Žç´°ã‚’ç¢ºèªã§ãã¾ã™ã€‚ ã€Œè¦ç´„ã€ã§AWS ã‚µãƒ¼ãƒ“ã‚¹æ–™é‡‘ã¨AWS Marketplace æ–™é‡‘ãã‚Œãžã‚Œã®åˆè¨ˆé‡‘é¡ãŒè¡¨ç¤ºã•ã‚Œã€ã€Œè©³ç´°ã€ã§ãã®å†…å®¹ã‚’è¡¨ç¤ºã—ã¦ã„ã¾ã™ã€‚ AWS Marketplace æ–™é‡‘ AWS Marketplace æ–™é‡‘ ã§ã¯ ç¶²å…ƒHVMç‰ˆã®åˆ©ç”¨æ–™ãŒè«‹æ±‚ã•ã‚Œã¦ã„ã¾ã™ã€‚ ã“ã“ã¯ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã®ã‚¿ã‚¤ãƒ—ã¨åˆ©ç”¨æ™‚é–“ã«ã‚ˆã£ã¦ç•°ãªã‚Šã¾ã™ã€‚ t2.mi
fhisa 2014/11/30
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ec2

WP
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AWSä¸Šã§ã®Webã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ãƒ‡ãƒ—ãƒã‚¤
2. æœ¬è³‡æ–™ã®å¯¾è±¡ ã¯ã˜ã‚ã« ãƒ‡ãƒ—ãƒã‚¤ã¨ã¯ ãƒ‘ã‚¿ãƒ¼ãƒ³1: AWSã§ã®ãƒ™ãƒ¼ã‚·ãƒƒã‚¯ãªãƒ‡ãƒ—ãƒã‚¤ 1. AMI+SCMã§ãƒ‡ãƒ—ãƒã‚¤ 2. Auto Scalingã‚’é©ç”¨ã—ã¦ã¿ã‚‹ 3. æ›´ã«ãƒ‡ãƒ—ãƒã‚¤ãƒ„ãƒ¼ãƒ«ã§è‡ªå‹•åŒ–ã—ã¦ã¿ã‚‹ ãƒ‘ã‚¿ãƒ¼ãƒ³2: Elastic Beanstalkã‚’ä½¿ã£ãŸãƒ‡ãƒ—ãƒã‚¤ ã¾ã¨ã‚ 3. æœ¬è³‡æ–™ã®å¯¾è±¡ ã¯ã˜ã‚ã« ãƒ‡ãƒ—ãƒã‚¤ã¨ã¯ ãƒ‘ã‚¿ãƒ¼ãƒ³1: AWSã§ã®ãƒ™ãƒ¼ã‚·ãƒƒã‚¯ãªãƒ‡ãƒ—ãƒã‚¤ 1. AMI+SCMã§ãƒ‡ãƒ—ãƒã‚¤ 2. Auto Scalingã‚’é©ç”¨ã—ã¦ã¿ã‚‹ 3. æ›´ã«ãƒ‡ãƒ—ãƒã‚¤ãƒ„ãƒ¼ãƒ«ã§è‡ªå‹•åŒ–ã—ã¦ã¿ã‚‹ ãƒ‘ã‚¿ãƒ¼ãƒ³2: Elastic Beanstalkã‚’ä½¿ã£ãŸãƒ‡ãƒ—ãƒã‚¤ ã¾ã¨ã‚
fhisa 2014/10/25
deploy

amazon

ec2

aws

capistrano
ãƒªãƒ³ã‚¯
AWS News Blog
Build RAG applications with Mongo DB Atlas, now available in Knowledge Bases for Amazon Bedrock Foundational models (FMs) are trained on large volumes of data and use billions of parameters. However, in order to answer customersâ€™ questions related to domain-specific private data, they need to reference an authoritative knowledge base outside of the modelâ€™s training data sources. This is commonly ac
fhisa 2014/10/23
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Amazon

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ebs

aws
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AWSã®æ¦‚è¦ã¨ç™»éŒ²æ‰‹é †ã€€ï½žAmazon EC2/S3ç’°å¢ƒæ§‹ç¯‰ã®ã™ã¹ã¦ï½ž
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fhisa 2014/08/14
Amazon

aws

ec2

s3
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