AWS Online Cloud Clinic #01

ํ˜‘์—… tools

Coronavirus๋กœ ์ธํ•œ ์žฌํƒ๊ทผ๋ฌด ํ™œ์„ฑํ™”๋กœ ํ˜‘์—… tool์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ๋†’์•„์ง

  • ์ž”๋””

  • notion

  • Trello

AWS Seoul Region Newly Released Services

1. EC2 ๋‹ค์ค‘ Instance์— ์—ฐ๊ฒฐ ๊ฐ€๋Šฅํ•œ provisioning IOPS io1 EBS Volume ์ถœ์‹œ

  • EFS๋Š” ๋น„์šฉ์ด ๋น„์‹ผ ๊ฒฝํ–ฅ์ด ์žˆ์–ด์„œ ๋ง์„ค์—ฌ์งˆํ…๋ฐ, ๋‹ค์ค‘ instance์— ์—ฐ๊ฒฐ ๊ฐ€๋Šฅํ•œ EBS Volume์ด ์ถœ์‹œ๋˜์–ด์„œ ํ™œ์šฉํ•˜๊ธฐ ์ข‹์„ ๊ฒƒ ๊ฐ™๋‹ค

2. AWS Compute Optimizer

  • EC2์— ๋‹ค์–‘ํ•œ instance type์ด ์žˆ๋Š”๋ฐ ๋‚ด application์— ๋งž๋Š” instance๋ฅผ ๊ณ ๋ฅด๋Š” ๊ฒƒ์ด ์‰ฌ์šด ์ผ์ด ์•„๋‹˜

  • ๊ทธ๊ฒƒ์„ ์ตœ์ ํ™” ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋„์™€์ฃผ๋Š”๊ฒŒ AWS Compute Optimizer!

  • ์‚ฌ์šฉ์ž์˜ ๊ฐ€์ƒ ์„œ๋ฒ„ workload๋ฅผ ๋ถ„์„ํ•ด์„œ ์–ด๋–ค option์„ ์‚ฌ์šฉํ•ด์•ผ ๋น„์šฉ์„ ์ ˆ๊ฐํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ์•Œ๋ ค์คŒ

3. AWS Saving Plans

  1. Compute Saving Plans

    • Region, Instance family, size, tenancy, OS์— ์ƒ๊ด€์—†์ด ์ ์šฉ ๊ฐ€๋Šฅ

    • EC2 instance, AWS Fargate, AWS Lambda service ์‚ฌ์šฉ๋Ÿ‰์— ์ ์šฉ ๊ฐ€๋Šฅ

    • ์‹œ๊ฐ„๋‹น ์•ฝ์ • ์„ค์ • ๊ฐ€๋Šฅ

  2. EC2 Saving Plans

    • Size, tenancy, OS์— ์ƒ๊ด€์—†์ด commit๋œ EC2 Family ๋ฐ Region ๋‚ด instance ์‚ฌ์šฉ๋Ÿ‰์— ์ ์šฉ ๊ฐ€๋Šฅ

QnA

  • Q1) Amazon athena์˜ computing power ์ œํ•œ์ด ์žˆ๋‚˜์š”?

    • Athena

      • Serverless data query engine

      • Open Source

    • Computing power ์ œํ•œ์€ ์—†์Œ

    • Best practice AWS Blog์— ๋‚˜์™€ ์žˆ์Œ

      • ex) ์••์ถ•ํ•˜๊ธฐ etc.

  • Q2) ๊ณง ์˜๊ตญ ๋ฐ ๋…์ผ ์‚ฌ์šฉ์ž๋ฅผ ์œ„ํ•œ ์›น์„œ๋น„์Šค๋ฅผ ๊ตฌ์ถ• ์˜ˆ์ •ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. EC2๋Š” ๋‹น์—ฐํžˆ ํ•ด๋‹น๋ฆฌ์ „์— ์žˆ์–ด์•ผ ํ•˜๋Š”๋ฐ ์›๋ž˜ ๋ฏธ๊ตญ ๋ฆฌ์ „์—์„œ ๊ด€๋ฆฌํ•˜๋Š” RDS ๋„ ๋˜‘๊ฐ™์ด ์˜๊ตญ๊ณผ ๋…์ผ ๋ฆฌ์ „์— ๋„ฃ์–ด์•ผํ• ๊นŒ์š”? ๋ถ„๋ฆฌํ•˜๋Š”๊ฒŒ ๋งž์„ ๋“ฏ ํ•œ๋ฐ ๊ด€๋ฆฌ ๋•Œ๋ฌธ์— ๋ฏธ๊ตญ ๋ฆฌ์ „์˜ RDS์„ ๊ทธ๋ƒฅ ์“ฐ์ž๋Š” ๋‚ด๋ถ€ ์˜๊ฒฌ๋„ ์žˆ์Šต๋‹ˆ๋‹ค

    • ๊ธฐ๋ณธ์ ์œผ๋กœ๋Š” server์™€ db server๋ฅผ ๊ฐ™์€ region์— ๋‘๋Š” ๊ฒƒ์ด ์ผ๋ฐ˜์ 

    • ์œ ๋Ÿฝ ๋‚ด ์„œ๋น„์Šค์˜ ๊ฒฝ์šฐ ๊ฐœ์ธ์ •๋ณด ์ €์žฅ ์ด์Šˆ (GDPR)๊ฐ€ ์žˆ์„ ์ˆ˜ ์žˆ์œผ๋‹ˆ ์œ ๋Ÿฝ ๋‚ด region์— RDS๋ฅผ ๋‘๋Š”๊ฒƒ์„ ๊ถŒ์žฅ

    • Amazon Aurora๋Š” global database ๊ธฐ๋Šฅ์ด ์ถ”๊ฐ€๋˜๋Š” ๋“ฑ ๋ฌธ์ œ๋ฅผ ๋ณด์™„ํ•˜๊ธฐ ์œ„ํ•œ ์„œ๋น„์Šค๋“ค์ด ๋‚˜์˜ค๊ณ ๋Š” ์žˆ์ง€, latency ๋ฌธ์ œ, ๋ณด์•ˆ issue๋ฅผ ๊ณ ๋ คํ•ด์„œ ์„ ํƒํ•˜๋Š”๊ฒŒ ์ข‹์„ ๊ฒƒ.

  • Q3) DocumentDB๋ฅผ Seoul region์—์„œ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ๋Š”๋ฐ global service ๋•Œ๋ฌธ์— ๋‹ค๋ฅธ region์œผ๋กœ ํ™•์žฅ ํ•  ์ˆ˜ ์žˆ์„๊นŒ์š”?

    • Documentdb์˜ snapshot์€ ์•„์ง๊นŒ์ง€ ํƒ€ region์œผ๋กœ ๋ณต์‚ฌ๊ฐ€ ๋˜์ง€ ์•Š์Œ

    • Amazon DynamoDB๋Š” global table cross๊ณผ regional replication ์ œ๊ณต

    • Amazon Aurora๋„ global data service ์ œ๊ณต

    • ๊ทธ ์™ธ db๋“ค์€ global service ์ง€์›์ด ์–ด๋ ค์šฐ๋ฏ€๋กœ ์ฐธ๊ณ 

Tips

  • AWS site ๋‚ด์˜ FAQ ์ฐธ๊ณ ํ•˜๊ธฐ

    • ๊ฐ•์˜, ์ฑ…๋ณด๋‹ค site์— ์ •๋ฆฌ๋œ ์ž๋ฃŒ๊ฐ€ ๋” ๋งŽ๊ณ  ์ •ํ™•ํ•˜๋‹ค

  • ์ฑ…์ถ”์ฒœ

    • ๋ฐฐ์›Œ์„œ ๋ฐ”๋กœ ์“ฐ๋Š” 14๊ฐ€์ง€ AWS ๊ตฌ์ถ• ํŒจํ„ด (AWSKRUG Machine Learning Study ์ฃผ์ตœ์ž ์ •๋„ํ˜„๋‹˜์ด ๋ฒˆ์—ญํ•˜์‹ฌ! ์‚ฌ์•ผ๊ฒ ๋‹ค)

    • https://brunch.co.kr/@topasvga/666 ์— AWS ๊ด€๋ จ ์ถ”์ฒœ๋„์„œ ์ •๋ฆฌ๋˜์–ด ์žˆ์œผ๋‹ˆ ์ฐธ๊ณ 

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