AWS Summit Sydney: Life’s Too Short...for Cloud without Analytics

Monitoring the Dynamic Nature of Cloud Computing

Transcript

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Lee Atchison, Principal Cloud Architect and Advocate at New Relic, Inc. Life’s Too Short… ... for Cloud without Analytics Monitoring the Dynamic Nature of Cloud Computing
2. Safe Harbor This document and the information herein (including any information that may be incorporated by reference) is provided for informational purposes only and should not be construed as an offer, commitment, promise or obligation on behalf of New Relic, Inc. (“New Relic”) to sell securities or deliver any product, material, code, functionality, or other feature. Any information provided hereby is proprietary to New Relic and may not be replicated or disclosed without New Relic’s express written permission. Such information may contain forward-looking statements within the meaning of federal securities laws. Any statement that is not a historical fact or refers to expectations, projections, future plans, objectives, estimates, goals, or other characterizations of future events is a forward-looking statement. These forward-looking statements can often be identified as such because the context of the statement will include words such as “believes,” “anticipates,”, “expects” or words of similar import. Actual results may differ materially from those expressed in these forward-looking statements, which speak only as of the date hereof, and are subject to change at any time without notice. Existing and prospective investors, customers and other third parties transacting business with New Relic are cautioned not to place undue reliance on this forward-looking information. The achievement or success of the matters covered by such forward-looking statements are based on New Relic’s current assumptions, expectations, and beliefs and are subject to substantial risks, uncertainties, assumptions, and changes in circumstances that may cause the actual results, performance, or achievements to differ materially from those expressed or implied in any forward-looking statement. Further information on factors that could affect such forward-looking statements is included in the filings we make with the SEC from time to time. Copies of these documents may be obtained by visiting New Relic’s Investor Relations website at http://ir.newrelic.com or the SEC’s website at www.sec.gov. New Relic assumes no obligation and does not intend to update these forward-looking statements, except as required by law. New Relic makes no warranties, expressed or implied, in this document or otherwise, with respect to the information provided.
3. Who am I? Specialize in: Cloud computing Services & Microservices Scalability, Availability 28 years in industry 7 in Amazon Retail & AWS (Built SW/VG AppStore, AWS Elastic Beanstalk) 4 in New Relic (Architecture Lead, Cloud, Service Migration) @leeatchison leeatchison
4. We want better apps faster Dynamic Environment Better Data Center How do we use the cloud to accomplish this?
5. Cloud as a Better Data Center
6. Cloud as Better Data Center Resources are allocated to uses, just like in a data center
7. Provisioning process is faster Cloud as Better Data Center Resources are allocated to uses, just like in a data center
8. Cloud as Better Data Center Resources are allocated to uses, just like in a data center Lifetime of components is relatively long Provisioning process is faster
9. Cloud as Better Data Center Lifetime of components is relatively long Provisioning process is faster Capacity planning is still important and still applies Resources are allocated to uses, just like in a data center
10. Why use a “Better Data Center”?
11. Why use a “Better Data Center”? Add new Capacity (faster)
12. Why use a “Better Data Center”? Improve Application Availability (redundancy) Add new Capacity (faster)
13. Why use a “Better Data Center”? Compliance Improve Application Availability (redundancy) Add new Capacity (faster)
14. Who is impacted? Better Data Center Operations Development
15. Who is impacted? Better Data Center Can I scale my server fleet? Can apps run anywhere? How do they perform in the cloud? Operations Development
16. Who is impacted? Better Data Center Can I scale my server fleet? Can apps run anywhere? How do they perform in the cloud? Operations Data center is a data center… Development
17. Who is impacted? Better Data Center Faster Application Launch / Deploy = Better Data Center Can I scale my server fleet? Can apps run anywhere? How do they perform in the cloud? Operations Data center is a data center… Development
18. How do I monitor it? Similar to monitoring any other data center…
19. Monitoring an application Typical Server / EC2 Instance • Application & Application Microservices • Server OS • Hardware (virtual) EC2 Instance Application & Application Microservices Server OS Server (Virtual) Hardware
20. AWS Monitoring CloudWatch • Monitors: – EC2 instance – Virtualization – Hardware – [CPU/Disk/Networking] • Doesn’t know about: – Server OS – Memory/Filesystem – Processes – Application • Latency • Error rates • Internal insights EC2 Instance Application & Application Microservices Server OS Server (Virtual) Hardware CloudWatch AWS CONSOLE
21. New Relic Monitoring New Relic • Monitors (Server): – How O.S. is performing – Processes – Hardware • Monitors (Application): – App health – App performance – Microservices • Doesn’t know – Virtualization EC2 Instance Application & Application Microservices New Relic Application Monitoring Server OS Server (Virtual) Hardware New Relic Server Monitoring CloudWatch AWS CONSOLE DASHBOARDS
22. AWS çè New Relic work together EC2 Instance Application & Application Microservices New Relic Application Monitoring Server OS Server (Virtual) Hardware New Relic Server Monitoring CloudWatch AWS CONSOLE DASHBOARDS AWS / CloudWatch • Visibility into virtualization • CPU / Disk / Networking New Relic • CPU / Disk / Networking • Memory / Filesystem • Processes • Infrastructure components • Application / Microservices: – Latency – Error rates – App insights CloudWatch monitors New Relic monitors
23. Cloud as a Dynamic Tool
24. Cloud as a “Dynamic Tool for Dynamic Apps” Use only the resources you need
25. Cloud as a “Dynamic Tool for Dynamic Apps” Use only the resources you need Allocate / de-allocate resources on the fly
26. Cloud as a “Dynamic Tool for Dynamic Apps” Use only the resources you need Resource allocation is an integral part of your application architecture Allocate / de-allocate resources on the fly
27. Dynamic Cloud Resources are: Application is aware of and is controlling traditional OPs resources De-allocated Consumed Allocated
28. Dynamic Cloud Docker containers: • Quicker / cheaper startup / shutdown than EC2 instances • Easy to consume Docker containers much like you do “processes” • Perform jobs: – In a script – Off of some queue of job requests
29. Dynamic Cloud 100 10K 1M 3.7 M 83 days 333 days Docker Container Age (Count vs. Hours)
30. Dynamic Cloud 950,000 11% under one minute Docker Container Age (by Minute Under and Hour)
31. EC2 Auto Scaling Dynamic Cloud Technologies Mobile / IoT Dynamic routing Load balancing Data transport Queues and notifications Docker Dynamic Cloud is about scaling
32. How do I monitor the Dynamic Cloud? Dynamic Cloud has unique monitoring requirements…
33. Responsibility (Dynamic Cloud) Server OS Application & Application Microservices Application & Application Microservices Application & Application Microservices Provisioning Server (Virtual) Hardware • Multiple Applications & Application Microservices & Dynamic services • Servers & Virtual Hardware & Infrastructure
34. AWS Infrastructure Server OS Server (Virtual) Hardware CloudWatch AWS CONSOLE DASHBOARDS Application & Application Microservices Application & Application Microservices Application & Application Microservices Provisioning
35. AWS Infrastructure çè New Relic work together Server OS Server (Virtual) Hardware CloudWatch AWS CONSOLE DASHBOARDS Application & Application Microservices Application & Application Microservices Application & Application Microservices Provisioning
36. AWS Infrastructure çè New Relic work together Server OS Server (Virtual) Hardware CloudWatch DASHBOARDS Application & Application Microservices Application & Application Microservices Application & Application Microservices Provisioning CloudWatch & AWS monitoring New Relic monitors AWS CONSOLE
37. How do you monitor this? Server OS Server (Virtual) Hardware Application & Application Microservices Application & Application Microservices Application & Application Microservices Provisioning ? How do you monitor this?
38. Where did it go? It was just here!!! ? The thing you monitored 10 minutes ago… ...doesn’t exist anymore!
39. Dynamic Cloud 950,000 11% under one minute Docker Container Age (by Minute Under and Hour)
40. Monitoring the Dynamic Cloud Very different than monitoring traditional Data Center components Monitor the Cloud Components themselves Monitor the lifecycle of the Cloud Components
41. Who Uses It? Better Data Center Can I scale my server fleet? Can apps run anywhere? How do they perform in the cloud? Operations Data center is a data center… Development Dynamic Cloud
42. Who Uses It? Better Data Center Can I scale my server fleet? Can apps run anywhere? How do they perform in the cloud? Operations Data center is a data center… Development Dynamic Cloud What is a container? What is a Lambda? It was just here, where did it go?
43. Who Uses It? Better Data Center Can I scale my server fleet? Can apps run anywhere? How do they perform in the cloud? Operations Data center is a data center… Development Dynamic Cloud What is a container? What is a Lambda? It was just here, where did it go? Cloud architecture is integral to the application architecture Developers deeply involved in cloud activities
44. Change is speeding up Traditional Data Center Cloud Data Center Dynamic Cloud Dynamic Cloud enables better applications faster. The rate of change is increasing… Good Better Best
45. Dynamic Cloud EC2 Server running application / processes Docker container Process running a command This is hard
46. Dynamic Cloud EC2 Server running application / processes Docker container Process running a command Lambda Function performing a task or operation
47. The Future with Lambda
48. Microcomputing & AWS Lambda • Newest entrance to the “dynamic cloud” • Provides event driven compute capabilities
49. Microcomputing & AWS Lambda • No infrastructure to provision • Massively shared infrastructure
50. Why use Lambda? Lambda scripts Run in response to a state change or action in the cloud Stateless, “filters” Perform quick actions Virtually no startup/shutdown cost
51. AWS Lambda S3 Bucket Dynamo DB API Gateway SQS RESOURCES SOME • Takes an event from an AWS resource (A Trigger)
52. AWS Lambda S3 Bucket Dynamo DB API Gateway SQS RESOURCES SOME Lambda Script • Takes an event from an AWS resource (A Trigger) • Creates an instance to execute Lambda Instance
53. AWS Lambda S3 Bucket Dynamo DB API Gateway SQS RESOURCES SOME S3 Bucket API Gateway SQS RESOURCES SOME Lambda Script • Takes an event from an AWS resource (A Trigger) • Creates an instance to execute • Can impact original or different AWS Resource Lambda Instance
54. AWS Lambda S3 Bucket Dynamo DB API Gateway SQS RESOURCES SOME S3 Bucket API Gateway SQS RESOURCES SOME Lambda Script Lambda Instance Lambda Instance Lambda Instance Lambda Instance Lambda Instance Lambda Instance Lambda Instance Lambda Instance Lambda Instance • Takes an event from an AWS resource (A Trigger) • Creates an instance to execute • Can impact original or different AWS Resource • Any number of instances can run at a time
55. Photo Management App Lambda example #1
56. Photo management application User S3 Bucket Image Import • Photos uploaded to S3 Upload File
57. Photo management application User Upload File S3 Bucket Image Import S3 Bucket Image Thumbnails Lambda Script • Photos uploaded to S3 • Lambda script creates thumbnails View Thumbnail
58. Photo management application User Image Database S3 Bucket Image Import S3 Bucket Image Thumbnails Lambda Script Lambda Script • Photos uploaded to S3 • Lambda script creates thumbnails • Lambda script updates metadata in database Upload File View Thumbnail
59. Photo management application User Image Database Application S3 Bucket Image Import S3 Bucket Image Thumbnails Lambda Script Lambda Script • Photos uploaded to S3 • Lambda script creates thumbnails • Lambda script updates metadata in database • Application only has to deal with metadata editing, not photo / file management App Interactions Upload File View Thumbnail
60. Mobile Game App Lambda example #2
61. Mobile game platform API Gateway Lambda Script Lambda Script Lambda Script Mobile Phone Application Users Database • Cloud platform hosts an API for mobile app – API Gateway • Lambda scripts implement the API • Lambda scripts manipulate database • Extremely high scale possible – No infrastructure
62. Monitoring Lambda Scripts Less like server monitoring / More like web application monitoring We Care About We Don’t Care About • Run time (average, extremes – TP90/TP99) • Statistical metrics • Error rates and other deviations from norm • “Drill down” into individual “runs” • Details about all ”runs” • Server / infrastructure metrics
63. Monitoring Lambda More like application performance monitoring than infrastructure monitoring
64. Monitoring Lambda More like application performance monitoring than infrastructure monitoring
65. Change is speeding up Traditional Data Center Cloud Data Center Dynamic Cloud Dynamic Cloud enables better applications faster. The rate of change is increasing… Good Better Best The way you’ve done things in the past won’t work in the future.
66. Monitoring just the server EC2 Instance Application & Application Microservices Server OS Server (Virtual) Hardware CloudWatch AWS CONSOLE Worked when rate of change was low…
67. Monitoring just the server Server OS Server (Virtual) Hardware Application & Application Microservices Application & Application Microservices Application & Application Microservices Provisioning Insufficient in the cloud: • Rate of change is faster • Problems come up quicker • “Server” isn’t a server anymore • “Provisioning” isn’t provisioning anymore You need top to bottom monitoring… You need full stack accountability...
68. New Relic enables accountability between your code & AWS Customers Mobile / Apps / Browser On-Premises On Premises Relational Data EC2 AWS Container Service AWS RDS Synthetic Customers S3 NoSQL AWS Storage Services Your Responsibilities • Application code & 3rd party services • App architecture • Customer experience • On-Premises components AWS Responsibility: • Service Availability & Performance • Provisioning & operation of DC • Isolation & security of resources • Service maintenance & innovation NoSQL
69. Want to Learn More?
70. Architecting for Scale By: Lee Atchison Published by: O’Reilly Media, Available: June 2016 www.architectingforscale.com Want to Learn More?
71. Fabien Ruffin Technology Director for Group Services Domain Group
72. Fabien Ruffin Technology Director for Group Services Domain Group Fabien will be speaking at: NDC Sydney August 1-5, 2016 ndcsydney.com
73. Thank You! Lee Atchison, Principal Cloud Architect and Advocate at New Relic, Inc.