[Datadog / AWS 共催セミナー_20190320] クラウド環境におけるモニタリングの重要性について

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Cloud Monitoring meetup with AWS, 2019/03/20 Datadog / AWS 共催セミナー・タイトル：クラウド環境におけるモニタリングの重要性について・Agenda： - What is AWS? - DevOps の現状 - モニタリングの重要性 - Amazon CloudWatch のご紹介 - まとめ

Technology

Amazon Web Services Japan K.K.
Partner Solutions Architect
Takanori Ohba
Cloud Monitoring meetup with AWS
(Datadog/AWS )
2019/03/20

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Agenda
• What is AWS?
• DevOps
•
• Amazon CloudWatch
•

What is AWS?
• IT
•
• 165
ComputeMessaging
Mobile
App Services
Database
Networking
Development and
Management Tools
Payments
VPC
On-Demand Workforce
Analytics Content Delivery
Storage

24 48 61 82
159
280
516
722
1,017
1,430
1,957
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
AWS

3 Keys of successful DevOps
Culture
PracticesTools

- Practice
• Agile
• (CI)
• QA
• (CD)
•
• Infrastructure as Code
•
•
•
•
•
•

- Tools
•
• CI/CD
•
• /
• /
•
•
•
• Infrastructure Management
•
• / /
/ /
•

DevOps CI/CD
MonitorProvisionDeployTestBuildCode
Continuous Integration
( )
Continuous Delivery
( )
Continuous Deploy
( ) Continuous
Monitoring and
Improvement
(
)

1,000
1PB DWH
::
1,000
Instance Type M3 Extra Large
Availability Zone US-West-2b
Launch
aws.amazon.com/managementconsole
Number of Instances
Start

MonitorProvisionDeployTestBuildCode
Elastic Beanstalk
OpsWorks for Chef Automate
OpsWorks Stacks
Cloud
Watch
Cloud
Formation
Code
Deploy
Code
Commit
Code Pipeline
Code Build
AWS Cloud9 AWS CodeStar
AWS Services for DevOps

Alerts
System
Knowledge
People
Actions
Tools

Amazon CloudWatch
CloudWatch
• CloudWatch
• CloudWatch Logs
• CloudWatch Logs Insights
• CloudWatch Events

Amazon CloudWatch
• CloudWatch
Ø AWS
ü / /
• CloudWatch Logs
• CloudWatch Logs Insights
• CloudWatch Events
CloudWatch

Amazon CloudWatch
• CloudWatch
Ø AWS
ü / /
• CloudWatch Logs
Ø
ü EC2 OS, APP
ü AWS
• CloudWatch Logs Insights
• CloudWatch Events
CloudWatch

CloudWatch Logs
CloudWatch Alarm
Amazon Elasticsearh
Service
(Kibana)
Amazon Kinesis
Data Firehose

Amazon CloudWatch
• CloudWatch
Ø AWS
ü / /
• CloudWatch Logs
Ø
ü EC2 OS, APP
ü AWS
• CloudWatch Logs Insights
Ø
• CloudWatch Events
CloudWatch
New!

Amazon CloudWatch
• CloudWatch
Ø AWS
ü / /
• CloudWatch Logs
Ø
ü EC2 OS, APP
ü AWS
• CloudWatch Logs Insights
Ø
• CloudWatch Events
Ø AWS
Ø AWS
CloudWatch

CloudWatch Events
Auto Scaling
Amazon EC2 AWS
Lambda
Amazon
SQS
Amazon
SNS
AWS Step
Functions
AWS
Systems
Manager
Event Source Target
AWS

Other AWS Services
AWS
CloudTrail
AWS
Config
AWS
Cost Explorer
AWS
X-Ray
Amazon
CloudWatch
AWS
Trusted Advisor
Amazon
Inspector
Amazon
Macie
AWS
Security Hub
Amazon
GuardDuty
… More AWS Services

AD
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(https://aws.amazon.com/jp/partners/)

Datadog was born in 2010 to provide infrastructure monitoring and was designed to help understand systems running in public clouds. As public clouds and containers grew in popularity between 2010-2018, Datadog expanded its offerings to include metrics, traces, logs, and synthetics to provide end-to-end visibility across customers' entire cloud native stacks. Datadog's products evolved alongside trends like the rise of Docker, Kubernetes, serverless computing, and managed services to maintain observability as customers' infrastructure became more distributed and dynamic.

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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security. Paper Link: https://eprint.iacr.org/2024/257

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[Datadog / AWS 共催セミナー_20190320] クラウド環境におけるモニタリングの重要性について

1. Amazon Web Services Japan K.K. Partner Solutions Architect Takanori Ohba Cloud Monitoring meetup with AWS (Datadog/AWS ) 2019/03/20

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3. Agenda • What is AWS? • DevOps • • Amazon CloudWatch •

4. What is AWS?

5. What is AWS? • IT • • 165 ComputeMessaging Mobile App Services Database Networking Development and Management Tools Payments VPC On-Demand Workforce Analytics Content Delivery Storage

7. 24 48 61 82 159 280 516 722 1,017 1,430 1,957 0 200 400 600 800 1,000 1,200 1,400 1,600 1,800 2,000 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 AWS

8. 165 AWS

9. AWS

10. DevOps

11.

12. • Ø • Ø Ø

13. • • • • DevOps

14. DevOps • (Dev) (Ops) • DevOps Ø • •

15. D O = D = a DevOps

16. 3 Keys of successful DevOps Culture PracticesTools

17. DevOps is the combination of ... C

18. - Culture • • Dev-Ops / • • • • How

19. - Practice • Agile • (CI) • QA • (CD) • • Infrastructure as Code • • • • • •

20. - Tools • • CI/CD • • / • / • • • • Infrastructure Management • • / / / / •

21. DevOps • Ø

22. DevOps • • &

23. DevOps CI/CD MonitorProvisionDeployTestBuildCode Continuous Integration ( ) Continuous Delivery ( ) Continuous Deploy ( ) Continuous Monitoring and Improvement ( )

24. DevOps • Infrastructure as Code (IaC) Ø

25. 1,000 1PB DWH :: 1,000 Instance Type M3 Extra Large Availability Zone US-West-2b Launch aws.amazon.com/managementconsole Number of Instances Start

26. DevOps • Ø Ø

27. AWS • • • • • • • • AWS DevOps

28. DevOps CI/CD MonitorProvisionDeployTestBuildCode Continuous Integration ( ) Continuous Delivery ( ) Continuous Deploy ( ) Continuous Monitoring and Improvement ( )

29. MonitorProvisionDeployTestBuildCode Elastic Beanstalk OpsWorks for Chef Automate OpsWorks Stacks Cloud Watch Cloud Formation Code Deploy Code Commit Code Pipeline Code Build AWS Cloud9 AWS CodeStar AWS Services for DevOps

30.

31. • • • • • • •

32. • Ø • ( ) Ø Ø Ø • Ø Ø ( / )

33.

34. Alerts System Knowledge People Actions Tools

35. Amazon CloudWatch

36. Amazon CloudWatch CloudWatch • CloudWatch • CloudWatch Logs • CloudWatch Logs Insights • CloudWatch Events

37. Amazon CloudWatch • CloudWatch Ø AWS ü / / • CloudWatch Logs • CloudWatch Logs Insights • CloudWatch Events CloudWatch

38. CloudWatch Dashboards

39. Amazon CloudWatch AutoScaling

40. Amazon CloudWatch • CloudWatch Ø AWS ü / / • CloudWatch Logs Ø ü EC2 OS, APP ü AWS • CloudWatch Logs Insights • CloudWatch Events CloudWatch

41. CloudWatch Logs

42. CloudWatch Logs CloudWatch Alarm Amazon Elasticsearh Service (Kibana) Amazon Kinesis Data Firehose

43. Amazon CloudWatch • CloudWatch Ø AWS ü / / • CloudWatch Logs Ø ü EC2 OS, APP ü AWS • CloudWatch Logs Insights Ø • CloudWatch Events CloudWatch New!

44. CloudWatch Logs Insights

45. Amazon CloudWatch • CloudWatch Ø AWS ü / / • CloudWatch Logs Ø ü EC2 OS, APP ü AWS • CloudWatch Logs Insights Ø • CloudWatch Events Ø AWS Ø AWS CloudWatch

46. CloudWatch Events

47. CloudWatch Events Auto Scaling Amazon EC2 AWS Lambda Amazon SQS Amazon SNS AWS Step Functions AWS Systems Manager Event Source Target AWS

48. Other AWS Services AWS CloudTrail AWS Config AWS Cost Explorer AWS X-Ray Amazon CloudWatch AWS Trusted Advisor Amazon Inspector Amazon Macie AWS Security Hub Amazon GuardDuty … More AWS Services

49. AD APN : AWS Partner Network (https://aws.amazon.com/jp/partners/)

50. ESP Online https://esp-online.com/

51.

52. 1. 2. 3. 4. 5.

53. Thank you!

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