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HOW
DID WE
HEADED
WHERE
AREWE
HEREGET
serverless:
Yan Cui
http://theburningmonk.com
@theburningmonk
Principal Engineer @
Independent Consultant
available in Austria, Switzerland, Germany,
Japan, Canada, Italy, US and Spain
available on 30+ platforms
~1,000,000 concurrent viewers
follow @dazneng for
updates about the
engineering team
We’re hiring! Visit
engineering.dazn.com
to learn more.
WE’RE HIRIN...
AWS user since 2009
AWS user since 2009
2006
big meetings to decide how to provision new servers
3-6 months (!!!!) turn around time
client tier
logic tier
data tier
SQL
monolithic, 3-tier architectures
requires downtime for deployment
requires downtime for deployment
(OK for businesses that aren’t 24/7)
install monitoring agents/daemons on server
big-bang releases
2010
on premise cloud
2012
2016
2019
EC2
EC2
EC2
EC2
months minutes
EC2
EC2
months minutes
EC2
EC2
minutes
compute becoming a commodity
Genesis Custom-built Product Commodity
http://bit.ly/wardley-maps
EC2
EC2
minutes
users are distributed
around the world
systems have to be
available 24/7
SCALABILITY
SCALABILITY
RESILIENCE
SCALABILITY
RESILIENCE
SECURITY
SCALABILITY
RESILIENCE
SECURITY
SPEED
Capex Opex
capital expenditure operational expenditure
Capex Opex
capital expenditure operational expenditure
levelled the playing field
competition
competition user demand &
expectations
faster delivery
faster feedback loop
we need…
big-bang releases small, frequent releases
co-evolution
waterfall agile
silos DevOps
practice
activity
of
and
scale
scale complexity
but our cognitive capacity hasn’t increased…
leverage: do more with less
EC2
EC2
EC2
EC2
we’re still managing
infrastructure
https://bit.ly/2Im61VK
“Unless you’re an infrastructure company,
infrastructure is basically overhead.”
Matt Klein
infrastructure
you
EC2EC2
EC2 RDSDynamoDB SQS
Monoliths Microservices
EC2
EC2
EC2 DynamoDB
EC2 RDS
EC2 SQS DynamoDB
EC2
EC2
EC2 DynamoDB
EC2 RDS
EC2 SQS DynamoDB
we’re managing
lots more
infrastructure!
we need a better abstraction for the “server”
we need an immutable infrastructure
70% utilization
monolith
10% utilization
x 10
microservices
70% utilization
monolith
10% utilization
x 10
microservices
EC2
EC2
EC2 DynamoDB
EC2 RDS
EC2 SQS DynamoDB
EC2 DynamoDB
EC2 RDS
EC2 SQS DynamoDB
DynamoDB
RDS
SQS DynamoDB
EC2 DynamoDB
EC2 RDS
EC2 SQS DynamoDB
DynamoDB
RDS
SQS DynamoDB
EC2 docker
us-east-1a us-east-1b
us-east-1a us-east-1b
0
Theory
“it works on
my machine!”
“production
ready!”days
0
Theory
“it works on
my machine!”
“production
ready!”
0
Reality
“it works on
my machine!”
“production
ready!”
days
days
mooooo..
2016
SQL NoSQL
OOP Functional
On Premise Cloud
Waterfall Agile
Monoliths Microservices
2016
2016
Server-ful Serverless
https://gtnr.it/2KGyGCM
What do you mean
by ‘serverless’?
“Serverless”
Gojko Adzic
It is serverless the same way
WiFi is wireless.
http://bit.ly/2yQgwwb
Serverless means…
don’t pay for it if no-one uses it
don’t need to worry about scaling
don’t need to provision and manage ...
“Function-as-a-Service”
AWS Lambda
Azure Functions
Google Cloud Functions
Auth0 Webtask
Spotinst Functions Kubeless
IBM Cl...
AWS Lambda
AWS Lambda
API Gateway IOT SNS Kinesis CloudWatch
IaaS
Function
Application
Runtime
Container
OS
Virtualization
Hardware
CaaS
Function
Application
Runtime
Container
OS
Virt...
IaaS
Function
Application
Runtime
Container
OS
Virtualization
Hardware
CaaS
Function
Application
Runtime
Container
OS
Virt...
Serverless
FaaS
other services…
Database
Storage
BI
Simon Wardley
Serverless will fundamentally change
how we build business around
technology and how you code.
Why serverless?
more Scalable
1,000 concurrent executions (soft limit)
500 increase per minute (hard-ish limit)
1,000 concurrent executions (soft limit)
500 increase per minute (hard-ish limit)
AUTO-APPROVED
RAISE TO 3000
1,000 concurrent executions (soft limit)
500 increase per minute (hard-ish limit)
containers are reused
100% SERVERLESS
IN PRODUCTION
80 MILLION
MONTHLY USERS
Cheaper
(don’t pay for idle servers)
Resilience
(built-in redundancy and multi-AZ)
http://bit.ly/2Vzfexo
Secure
Shared Responsibility Model
Shared Responsibility Model
protection from OS attacks
Amazon automatically apply latest patches to host VMs
Deploy
serverless.yml
{}
Code
{}
Code
serverless.yml
serverless.yml
{}
Code
S3
{}
Code
serverless.yml
S3 CloudFormation
{}
Code
serverless.yml
S3 CloudFormation
request
blue-green deployment
request
blue-green deployment
request
blue-green deployment
request
blue-green deployment
req/s
auto-scaling
us-east-1a
us-east-1b
us-east-1c
multi-AZ
the DevOps forcethe DevOps force
is strong with serverlessis strong with serverless
idea production
choose language
+ framework
master language
+ framework
figure out
deployment
configure AMI
configure ELB
con...
idea production
choose language
+ framework
master language
+ framework
figure out
deployment
configure AMI
configure ELB
con...
idea production
greater Velocity from idea to product
minimise undifferentiated
heavy-lifting
less ops responsibility on
your shoulders
infrastructure
you
DynamoDBDynamoDB
RDS
SQS DynamoDB
DynamoDB
API Gateway Lambda
API Gateway Lambda RDS
Lambda DynamoDBSQS
abstractionlayer
abstractionlayer
paradigm
shift!!!!
paradigm shift
paradigm shift
opportunity
performance
time
serverless
containers
performance
time
serverless
containers
higher ceiling
speed
performance
time
serverless
containers
higher ceiling
strong baseline
performance
time
serverless
containers
dilemma
zone
paradigm shift
opportunity
challenges
broken existing toolchains
observability securityframework
best practices are still emerging
๏ tips for writing Lambda functions
๏ migration to serverless
๏ serverless ops
๏ design patterns
๏ performance optimizatio...
https://bit.ly/production-ready-serverless
is serverless production-ready?
2018
1,000 concurrent executions (soft limit)
500 increase per minute (hard-ish limit)
~1,000,000 concurrent viewers
serverless is not right for every use case (yet)
http://bit.ly/2WSfcky
Lambda VPC
there are no silver bullets
0
Containers
“it works on
my machine!”
“production
ready!”days
Serverless
0
“it works!”
“production
ready!”
days
0
Containers
“it works on
my machine!”
“production
ready!”days
Serverless
0
“it works!”
“production
ready!”
days
v2! v3! v...
EC2 docker
us-east-1a us-east-1b
us-east-1a us-east-1b
Theory
Reality
Reality
scale-to-zero
serverful serverless
us-east-1a us-east-1b
us-east-1a us-east-1bscaled to zero!
HOW
DID WE
HEREGET
serverless:
HEADED
WHERE
AREWE
serverless:
scaling limits VPC long-running
cold starts performance
scaling limits VPC long-running
cold starts performance
scaling limits VPC long-running
cold starts performance
http://bit.ly/2X0ksCY
http://bit.ly/2X0ksCY
http://bit.ly/2X0ksCY
scaling limits VPC long-running
cold starts performance
http://bit.ly/2I7GJeJ
scaling limits VPC long-running
cold starts performance
scaling limits VPC long-running
cold starts performance
+ pay-per-use?
Simon Wardley
Serverless will fundamentally change
how we build business around
technology and how you code.
@theburningmonk
theburningmonk.com
github.com/theburningmonk
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
How did we get here and where are we going
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How did we get here and where are we going

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Serverless is all the rage these days, but how did we get here and why should businesses and developer care about serverless? In this talk, we will hear about Yan's journey from running on-prem servers to EC2, to containers, and finally to serverless. We will hear about the evolution of development practices and debunk some common misconceptions about serverless. We'll also get a glimpse of how we can build new kinds of businesses on top of serverless, and why FinDev might be an even bigger game changer for businesses than DevOps.

Published in: Technology
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How did we get here and where are we going

  1. 1. HOW DID WE HEADED WHERE AREWE HEREGET serverless:
  2. 2. Yan Cui http://theburningmonk.com @theburningmonk Principal Engineer @ Independent Consultant
  3. 3. available in Austria, Switzerland, Germany, Japan, Canada, Italy, US and Spain
  4. 4. available on 30+ platforms
  5. 5. ~1,000,000 concurrent viewers
  6. 6. follow @dazneng for updates about the engineering team We’re hiring! Visit engineering.dazn.com to learn more. WE’RE HIRING!
  7. 7. AWS user since 2009
  8. 8. AWS user since 2009
  9. 9. 2006
  10. 10. big meetings to decide how to provision new servers
  11. 11. 3-6 months (!!!!) turn around time
  12. 12. client tier logic tier data tier SQL
  13. 13. monolithic, 3-tier architectures
  14. 14. requires downtime for deployment
  15. 15. requires downtime for deployment (OK for businesses that aren’t 24/7)
  16. 16. install monitoring agents/daemons on server
  17. 17. big-bang releases
  18. 18. 2010
  19. 19. on premise cloud
  20. 20. 2012
  21. 21. 2016
  22. 22. 2019
  23. 23. EC2 EC2
  24. 24. EC2 EC2 months minutes
  25. 25. EC2 EC2 months minutes
  26. 26. EC2 EC2 minutes compute becoming a commodity Genesis Custom-built Product Commodity http://bit.ly/wardley-maps
  27. 27. EC2 EC2 minutes
  28. 28. users are distributed around the world systems have to be available 24/7
  29. 29. SCALABILITY
  30. 30. SCALABILITY RESILIENCE
  31. 31. SCALABILITY RESILIENCE SECURITY
  32. 32. SCALABILITY RESILIENCE SECURITY SPEED
  33. 33. Capex Opex capital expenditure operational expenditure
  34. 34. Capex Opex capital expenditure operational expenditure levelled the playing field
  35. 35. competition
  36. 36. competition user demand & expectations
  37. 37. faster delivery faster feedback loop we need…
  38. 38. big-bang releases small, frequent releases
  39. 39. co-evolution waterfall agile silos DevOps practice activity of and
  40. 40. scale
  41. 41. scale complexity
  42. 42. but our cognitive capacity hasn’t increased…
  43. 43. leverage: do more with less
  44. 44. EC2 EC2
  45. 45. EC2 EC2 we’re still managing infrastructure
  46. 46. https://bit.ly/2Im61VK “Unless you’re an infrastructure company, infrastructure is basically overhead.” Matt Klein
  47. 47. infrastructure you
  48. 48. EC2EC2 EC2 RDSDynamoDB SQS
  49. 49. Monoliths Microservices
  50. 50. EC2 EC2 EC2 DynamoDB EC2 RDS EC2 SQS DynamoDB
  51. 51. EC2 EC2 EC2 DynamoDB EC2 RDS EC2 SQS DynamoDB we’re managing lots more infrastructure!
  52. 52. we need a better abstraction for the “server”
  53. 53. we need an immutable infrastructure
  54. 54. 70% utilization monolith 10% utilization x 10 microservices
  55. 55. 70% utilization monolith 10% utilization x 10 microservices
  56. 56. EC2 EC2 EC2 DynamoDB EC2 RDS EC2 SQS DynamoDB
  57. 57. EC2 DynamoDB EC2 RDS EC2 SQS DynamoDB DynamoDB RDS SQS DynamoDB
  58. 58. EC2 DynamoDB EC2 RDS EC2 SQS DynamoDB DynamoDB RDS SQS DynamoDB
  59. 59. EC2 docker us-east-1a us-east-1b us-east-1a us-east-1b
  60. 60. 0 Theory “it works on my machine!” “production ready!”days
  61. 61. 0 Theory “it works on my machine!” “production ready!” 0 Reality “it works on my machine!” “production ready!” days days
  62. 62. mooooo..
  63. 63. 2016
  64. 64. SQL NoSQL OOP Functional On Premise Cloud Waterfall Agile Monoliths Microservices
  65. 65. 2016
  66. 66. 2016
  67. 67. Server-ful Serverless
  68. 68. https://gtnr.it/2KGyGCM
  69. 69. What do you mean by ‘serverless’?
  70. 70. “Serverless”
  71. 71. Gojko Adzic It is serverless the same way WiFi is wireless. http://bit.ly/2yQgwwb
  72. 72. Serverless means… don’t pay for it if no-one uses it don’t need to worry about scaling don’t need to provision and manage servers
  73. 73. “Function-as-a-Service” AWS Lambda Azure Functions Google Cloud Functions Auth0 Webtask Spotinst Functions Kubeless IBM Cloud Functions
  74. 74. AWS Lambda
  75. 75. AWS Lambda API Gateway IOT SNS Kinesis CloudWatch
  76. 76. IaaS Function Application Runtime Container OS Virtualization Hardware CaaS Function Application Runtime Container OS Virtualization Hardware PaaS Function Application Runtime Container OS Virtualization Hardware FaaS Function Application Runtime Container OS Virtualization Hardware User User (scalable unit) Provider
  77. 77. IaaS Function Application Runtime Container OS Virtualization Hardware CaaS Function Application Runtime Container OS Virtualization Hardware PaaS Function Application Runtime Container OS Virtualization Hardware FaaS Function Application Runtime Container OS Virtualization Hardware User User (scalable unit) Provider
  78. 78. Serverless FaaS other services… Database Storage BI
  79. 79. Simon Wardley Serverless will fundamentally change how we build business around technology and how you code.
  80. 80. Why serverless?
  81. 81. more Scalable
  82. 82. 1,000 concurrent executions (soft limit) 500 increase per minute (hard-ish limit)
  83. 83. 1,000 concurrent executions (soft limit) 500 increase per minute (hard-ish limit) AUTO-APPROVED RAISE TO 3000
  84. 84. 1,000 concurrent executions (soft limit) 500 increase per minute (hard-ish limit)
  85. 85. containers are reused
  86. 86. 100% SERVERLESS IN PRODUCTION
  87. 87. 80 MILLION MONTHLY USERS
  88. 88. Cheaper (don’t pay for idle servers)
  89. 89. Resilience (built-in redundancy and multi-AZ)
  90. 90. http://bit.ly/2Vzfexo
  91. 91. Secure
  92. 92. Shared Responsibility Model
  93. 93. Shared Responsibility Model
  94. 94. protection from OS attacks Amazon automatically apply latest patches to host VMs
  95. 95. Deploy
  96. 96. serverless.yml {} Code
  97. 97. {} Code serverless.yml
  98. 98. serverless.yml {} Code S3
  99. 99. {} Code serverless.yml S3 CloudFormation
  100. 100. {} Code serverless.yml S3 CloudFormation
  101. 101. request blue-green deployment
  102. 102. request blue-green deployment
  103. 103. request blue-green deployment
  104. 104. request blue-green deployment req/s auto-scaling us-east-1a us-east-1b us-east-1c multi-AZ
  105. 105. the DevOps forcethe DevOps force is strong with serverlessis strong with serverless
  106. 106. idea production choose language + framework master language + framework figure out deployment configure AMI configure ELB configure autoscaling capacity planning over-provision for launch are we doing microservices? configure CI/CD
  107. 107. idea production choose language + framework master language + framework figure out deployment configure AMI configure ELB configure autoscaling capacity planning over-provision for launch are we doing microservices? configure CI/CD
  108. 108. idea production greater Velocity from idea to product
  109. 109. minimise undifferentiated heavy-lifting
  110. 110. less ops responsibility on your shoulders
  111. 111. infrastructure you
  112. 112. DynamoDBDynamoDB RDS SQS DynamoDB DynamoDB API Gateway Lambda API Gateway Lambda RDS Lambda DynamoDBSQS
  113. 113. abstractionlayer
  114. 114. abstractionlayer paradigm shift!!!!
  115. 115. paradigm shift
  116. 116. paradigm shift opportunity
  117. 117. performance time serverless containers
  118. 118. performance time serverless containers higher ceiling
  119. 119. speed
  120. 120. performance time serverless containers higher ceiling strong baseline
  121. 121. performance time serverless containers dilemma zone
  122. 122. paradigm shift opportunity challenges
  123. 123. broken existing toolchains
  124. 124. observability securityframework
  125. 125. best practices are still emerging
  126. 126. ๏ tips for writing Lambda functions ๏ migration to serverless ๏ serverless ops ๏ design patterns ๏ performance optimization ๏ chaos engineering ๏ security ๏ general thoughts and techniques http://bit.ly/theburningmonk-serverless
  127. 127. https://bit.ly/production-ready-serverless
  128. 128. is serverless production-ready?
  129. 129. 2018
  130. 130. 1,000 concurrent executions (soft limit) 500 increase per minute (hard-ish limit)
  131. 131. ~1,000,000 concurrent viewers
  132. 132. serverless is not right for every use case (yet)
  133. 133. http://bit.ly/2WSfcky
  134. 134. Lambda VPC
  135. 135. there are no silver bullets
  136. 136. 0 Containers “it works on my machine!” “production ready!”days Serverless 0 “it works!” “production ready!” days
  137. 137. 0 Containers “it works on my machine!” “production ready!”days Serverless 0 “it works!” “production ready!” days v2! v3! v4! v5! v6!
  138. 138. EC2 docker us-east-1a us-east-1b us-east-1a us-east-1b Theory
  139. 139. Reality
  140. 140. Reality
  141. 141. scale-to-zero
  142. 142. serverful serverless us-east-1a us-east-1b us-east-1a us-east-1bscaled to zero!
  143. 143. HOW DID WE HEREGET serverless:
  144. 144. HEADED WHERE AREWE serverless:
  145. 145. scaling limits VPC long-running cold starts performance
  146. 146. scaling limits VPC long-running cold starts performance
  147. 147. scaling limits VPC long-running cold starts performance
  148. 148. http://bit.ly/2X0ksCY
  149. 149. http://bit.ly/2X0ksCY
  150. 150. http://bit.ly/2X0ksCY
  151. 151. scaling limits VPC long-running cold starts performance
  152. 152. http://bit.ly/2I7GJeJ
  153. 153. scaling limits VPC long-running cold starts performance
  154. 154. scaling limits VPC long-running cold starts performance
  155. 155. + pay-per-use?
  156. 156. Simon Wardley Serverless will fundamentally change how we build business around technology and how you code.
  157. 157. @theburningmonk theburningmonk.com github.com/theburningmonk

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