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@danielbryantuk | @ambassadorlabs1
TRACK: MODERN INFRASTRUCTURE
NOVEMBER 12, 2020
Daniel Bryant
The Past, Present,
and Future of Cloud
Native API Gateways
@danielbryantuk | @ambassadorlabs
tl;dr
• API gateways have undergone a series of evolutions,
driven by architecture and technology
• Adopting microservices, Kubernetes, and cloud changes the workflow
• Choose your Kubernetes API gateway (and platform) intentionally
2
@danielbryantuk | @ambassadorlabs
@danielbryantuk
3
@danielbryantuk | @ambassadorlabs4
Edge: The boundary between your
data center and your user(s)
@danielbryantuk | @ambassadorlabs5
Thesis:
The evolution of the edge has been driven by
application architecture and technology
@danielbryantuk | @ambassadorlabs6
~1995
@danielbryantuk | @ambassadorlabs
Application Architecture in the ‘90s
7
@danielbryantuk | @ambassadorlabs
Hardware Load Balancer
8
User Systems administrators
Purpose High availability / scalability
Key Features
Load balancing
(round robin, sticky sessions)
Health checks
@danielbryantuk | @ambassadorlabs9
~2000
@danielbryantuk | @ambassadorlabs
Similar application architecture
10
@danielbryantuk | @ambassadorlabs11
20022001
@danielbryantuk | @ambassadorlabs
Software Load Balancer
12
User
Systems administrators
(“pre DevOps”)
Purpose High availability / scalability
Key Features
Load balancing
Health checks
Observability
@danielbryantuk | @ambassadorlabs13
~2005
@danielbryantuk | @ambassadorlabs14
@danielbryantuk | @ambassadorlabs15
Ecommerce
0
75
150
225
300
2000 2005 2010 2015 2019
Amazon Revenue,
Billions
@danielbryantuk | @ambassadorlabs16
@danielbryantuk | @ambassadorlabs
The Application Delivery Controller (ADC)
17
@danielbryantuk | @ambassadorlabs
Application Delivery Controllers (ADCs)
18
User Systems administrators
Purpose
High availability and
application acceleration
Key Features
SSL offload, caching,
compression + load balancing
@danielbryantuk | @ambassadorlabs19
~2010
@danielbryantuk | @ambassadorlabs
The proliferation of APIs
20
2005: API launched 2008 2009
@danielbryantuk | @ambassadorlabs
API Gateway (1st Gen)
21
User
Systems administrators &
API developers
Purpose
Expose business APIs to broader
ecosystem (“API management”)
Key Features
L7 routing (e.g., throttling),
Publishing, Dev Portal, Analytics,
Monetization
@danielbryantuk | @ambassadorlabs22
~2015
@danielbryantuk | @ambassadorlabs23
@danielbryantuk | @ambassadorlabs
Mini-services
24
@danielbryantuk | @ambassadorlabs
API Gateway (2nd Generation)
25
@danielbryantuk | @ambassadorlabs
API Gateway (2nd Generation)
26
User
Systems administrators &
API developers
Purpose
Centralize cross-cutting app
concerns
Key Features
Authentication, rate limiting,
monitoring + routing
@danielbryantuk | @ambassadorlabs27
Building
Cloud-Native
Applications
@danielbryantuk | @ambassadorlabs
Cloud-Native Microservices
28
• Modularisation (“microservices”)
• Built, released, & operated by
independent application teams
• Scaled independently
@danielbryantuk | @ambassadorlabs
App Architecture: A Spectrum of Services
• Different locations (K8s, VMs, FaaS)
• Different protocols (gRPC, HTTP, WebSockets, TCP)
• Different load balancing requirements
(sticky sessions, round robin)
• Different authentication requirements
29
@danielbryantuk | @ambassadorlabs
Cloud Gateway
30
Real-time Service
Discovery
Need ADC-like traffic management
capabilities: timeouts, retries, rate
limiting, load balancing, caching, …
Need API Gateway-type
management capabilities:
authentication, developer
portal, metrics, …
1
2
3
@danielbryantuk | @ambassadorlabs
Microservices lead to an even bigger change.
31
@danielbryantuk | @ambassadorlabs32
“You build it, you run it”
- Werner Vogels, CTO Amazon
i.e. you own what you code,
from idea to production
@danielbryantuk | @ambassadorlabs
Workflow: Full Cycle Development
33
• App teams have full responsibility (and authority) for
delivering a service, and ultimately, value to users
• Increase agility by accelerating the feedback loop
• https://netflixtechblog.com/full-cycle-developers-at-netflix-a08c31f83249
@danielbryantuk | @ambassadorlabs34
This is a change in workflow.
@danielbryantuk | @ambassadorlabs35
Thesis:
The future evolution of the edge will be driven by
application architecture, technology, and workflow
@danielbryantuk | @ambassadorlabs36
Two Biggest
Challenges with
k8s & the Edge
@danielbryantuk | @ambassadorlabs
Challenge #1: Scaling Edge Management
37
Development
Team
Operations / Platform Team
@danielbryantuk | @ambassadorlabs
Challenge #1: Scaling Edge Management
@danielbryantuk | @ambassadorlabs
Challenge #2: Supporting Diverse Edge Requirements
39
@danielbryantuk | @ambassadorlabs40
Three Strategies
for K8s
Gateways
@danielbryantuk | @ambassadorlabs
Three Strategies for the Edge with Kubernetes
#1: Deploy an Additional Kubernetes API Gateway
#2: Extend Existing API Gateway
#3: Deploy an in-Cluster Edge Stack
41
https://www.getambassador.io/resources/strategies-managing-apis-edge-kubernetes/
@danielbryantuk | @ambassadorlabs
#1 Deploy an Additional Kubernetes API Gateway
• Simply deploy an additional “in-cluster” gateway
• Below the existing gateway
• Below the load balancer
• Management
• Development teams responsible
• OR existing ops team manages this
42
@danielbryantuk | @ambassadorlabs
#1 Deploy an Additional Kubernetes API Gateway
• Pros
• There is minimal change to the core edge infrastructure.
• Incremental migration easily
• Cons
• Increased management overhead of working with
different components
• Challenging to expose the functionality to each
independent microservice teams
43
@danielbryantuk | @ambassadorlabs
#2 Extend Existing API Gateway
• Implemented by modifying or augmenting the existing API
gateway solution
• Enable synchronization between the API endpoints and
location of k8s services
• Custom ingress controller for the existing API Gateway or
load balancer
44
@danielbryantuk | @ambassadorlabs
#2 Extend Existing API Gateway
• Pros
• Reuse the existing tried and trusted API gateway
• Leverage existing integrations with on-premises
infrastructure and services
• Cons
• Workflows must change to preserve a single source of
truth for the API gateway configuration.
• Limited amount of configuration parameters via
Kubernetes annotations
45
@danielbryantuk | @ambassadorlabs
#3 Deploy an In-Cluster Edge Stack
• Deploy Kubernetes-native API gateway with
integrated supporting edge components
• Installed in each of the new Kubernetes clusters,
replacing existing edge
• Ops team own, and provide sane defaults
• Dev teams responsible for configuring the edge
stack as part of their normal workflow
46
@danielbryantuk | @ambassadorlabs
#3 Deploy an In-Cluster Edge Stack
• Pros
• Edge management is simplified into a single stack
• Supports cloud native best practices: “single
source of truth”, GitOps etc
• Cons
• Potentially a large architectural/responsibility shift
• Platform team must learn about new proxy
technologies and edge components
47
@danielbryantuk | @ambassadorlabs48
Wrapping Up
@danielbryantuk | @ambassadorlabs
In Conclusion
• Edge/API gateways have undergone a series of evolutions, driven by architecture and tech
• Hardware -> software
• Networking Layer 4 -> Layer 7
• Centralized management -> decentralised
• Adopting microservices/Kubernetes changes workflow
• Scale edge management
• Support multi-protocol and cross-functional requirements
• Choose your cloud API gateway intentionally (and also your platform components in general)
49
@danielbryantuk | @ambassadorlabs
app.getambassador.io
thenewstack.io/learning-kubernetes-the-need-for-a-realistic-playground
@danielbryantuk | @ambassadorlabs
Many thanks!
• Learn more:
• www.getambassador.io/learn/building-kubernetes-platform
• www.getambassador.io/podcasts
• www.infoq.com/profile/Daniel-Bryant
• Find me in:
• Datawire OSS Slack: d6e.co/slack
• Twitter @danielbryantuk
51

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