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The Service Mesh
It’s About the Traffic
Oliver Gould @olix0r
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Portuguese)
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Watch the video with slide
synchronization on InfoQ.com!
https://www.infoq.com/presentations/
linkerd-cloud-native/
Presented at QCon New York
www.qconnewyork.com
Purpose of QCon
- to empower software development by facilitating the spread of
knowledge and innovation
Strategy
- practitioner-driven conference designed for YOU: influencers of
change and innovation in your teams
- speakers and topics driving the evolution and innovation
- connecting and catalyzing the influencers and innovators
Highlights
- attended by more than 12,000 delegates since 2007
- held in 9 cities worldwide
Oliver
Gould Photo Goes Here
Linkerd Lead; Buoyant CTO
@olix0r
@olix0r
@olix0r
Nov 9, 2016
QConSF
Agenda
Why Does Linkerd Exist?��
The Trough of Service Mesh Disillusionment��♂
It’s All About the Traffic!��
2/2016 1/2017 9/20182013
Control Plane
● Discovery
○ ZooKeeper
● Telemetry
○ Zipkin
○ Viz...
Timelines
Finagle
(Library)
Users
Finagle
(Library)
Service Mesh
A
C
B
Service Mesh: Data Plane
A
C
B
Proxy
Proxy
Proxy
Service Mesh: Control Plane
A
C
B
Proxy
Proxy
Proxy
Control Plane
An Abridged History of Linkerd
● 2016: Linkerd 0.1.0
● Twitter-style Operability for Microservices
● Scala (JVM) + Finagle
● Extremely Powerful and Configurable
An Abridged History of Linkerd
● JVM sidecar too heavy for some users
● Difficult to configure
○ High barrier to entry
○ Many different configurations to support
How?
💪 Zero-config “just works”: If you have a functioning K8s app, drop in Linkerd without
configuring anything.
💪 Fast and small: proxies should introduce the bare minimum perf and resource cost
💪 Understandable: no magic
Data plane: linkerd2-proxy. Written in Rust. <10MB RSS, <1ms p99. (!!!!)
Control plane: linkerd2. Written in Go. Includes small Prometheus
(6 hour window), Grafana, etc.
Linkerd 2.x architecture
Strong Typing
No GC: RAII
Resource Acquisition Is Initialization
What does Linkerd do?
👍 Visibility: Automatic golden metrics:
success rates, latencies, throughput
👍 Reliability: Load balancing, retries,
timeouts, circuit breaking, deadlines
👍 Security: Transparent mTLS, cert
validation, policy
Goal: Move visibility, reliability, and security
primitives into the infrastructure layer, out of
the application layer.
Linkerd: Observability
● Rich traffic metrics
○ Request rate, Success rate, latency
○ Across many dimensions
● Request inspection
Linkerd: Reliability
● Latency aware load balancing
● Retries
● Timeouts
Linkerd: Security
● Mutual, cryptographic identity
○ Bootstraps via Kubernetes ServiceAccounts
○ Transparent
○ On by default
An open source service mesh and
CNCF project.
🔥 24+ months in production
🔥 3,000+ Slack channel members
🔥 10,000+ GitHub stars
🔥 100+ contributors
🔥 Near-weekly edge releases
The Trough of Service Mesh
Disillusionment
Jeremykemp at English Wikipedia
What Can Go Wrong?
1. Can’t even get it working…
2. Trying to do too many things at once...
3. It’s always the mesh’s fault!
It’s All About the Traffic!
The Service Mesh Interface
Roadmap
As of 2.3:
🗺 Telemetry, retries, timeouts, auto-inject, mTLS on by default. All zero config.
2.4
🗺 Traffic shifting (blue-green, canaries), install split.
Mid term:
🗺 Policy, mesh expansion, distributed tracing, lots lots more.
F R O M Y O U R F R I E N D S A T
Join our community!
@linkerdgithub.com/linkerd slack.linkerd.io
Watch the video with slide
synchronization on InfoQ.com!
https://www.infoq.com/presentations/
linkerd-cloud-native/

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The Service Mesh: It's about Traffic

  • 1. The Service Mesh It’s About the Traffic Oliver Gould @olix0r
  • 2. InfoQ.com: News & Community Site • 750,000 unique visitors/month • Published in 4 languages (English, Chinese, Japanese and Brazilian Portuguese) • Post content from our QCon conferences • News 15-20 / week • Articles 3-4 / week • Presentations (videos) 12-15 / week • Interviews 2-3 / week • Books 1 / month Watch the video with slide synchronization on InfoQ.com! https://www.infoq.com/presentations/ linkerd-cloud-native/
  • 3. Presented at QCon New York www.qconnewyork.com Purpose of QCon - to empower software development by facilitating the spread of knowledge and innovation Strategy - practitioner-driven conference designed for YOU: influencers of change and innovation in your teams - speakers and topics driving the evolution and innovation - connecting and catalyzing the influencers and innovators Highlights - attended by more than 12,000 delegates since 2007 - held in 9 cities worldwide
  • 4. Oliver Gould Photo Goes Here Linkerd Lead; Buoyant CTO @olix0r @olix0r @olix0r
  • 6. Agenda Why Does Linkerd Exist?�� The Trough of Service Mesh Disillusionment��♂ It’s All About the Traffic!��
  • 7.
  • 9. Control Plane ● Discovery ○ ZooKeeper ● Telemetry ○ Zipkin ○ Viz... Timelines Finagle (Library) Users Finagle (Library)
  • 10.
  • 11.
  • 13. Service Mesh: Data Plane A C B Proxy Proxy Proxy
  • 14. Service Mesh: Control Plane A C B Proxy Proxy Proxy Control Plane
  • 15. An Abridged History of Linkerd ● 2016: Linkerd 0.1.0 ● Twitter-style Operability for Microservices ● Scala (JVM) + Finagle ● Extremely Powerful and Configurable
  • 16. An Abridged History of Linkerd ● JVM sidecar too heavy for some users ● Difficult to configure ○ High barrier to entry ○ Many different configurations to support
  • 17. How? 💪 Zero-config “just works”: If you have a functioning K8s app, drop in Linkerd without configuring anything. 💪 Fast and small: proxies should introduce the bare minimum perf and resource cost 💪 Understandable: no magic Data plane: linkerd2-proxy. Written in Rust. <10MB RSS, <1ms p99. (!!!!) Control plane: linkerd2. Written in Go. Includes small Prometheus (6 hour window), Grafana, etc.
  • 19.
  • 21. No GC: RAII Resource Acquisition Is Initialization
  • 22. What does Linkerd do? 👍 Visibility: Automatic golden metrics: success rates, latencies, throughput 👍 Reliability: Load balancing, retries, timeouts, circuit breaking, deadlines 👍 Security: Transparent mTLS, cert validation, policy Goal: Move visibility, reliability, and security primitives into the infrastructure layer, out of the application layer.
  • 23. Linkerd: Observability ● Rich traffic metrics ○ Request rate, Success rate, latency ○ Across many dimensions ● Request inspection
  • 24. Linkerd: Reliability ● Latency aware load balancing ● Retries ● Timeouts
  • 25. Linkerd: Security ● Mutual, cryptographic identity ○ Bootstraps via Kubernetes ServiceAccounts ○ Transparent ○ On by default
  • 26. An open source service mesh and CNCF project. 🔥 24+ months in production 🔥 3,000+ Slack channel members 🔥 10,000+ GitHub stars 🔥 100+ contributors 🔥 Near-weekly edge releases
  • 27. The Trough of Service Mesh Disillusionment
  • 29. What Can Go Wrong? 1. Can’t even get it working… 2. Trying to do too many things at once... 3. It’s always the mesh’s fault!
  • 30. It’s All About the Traffic!
  • 31.
  • 32. The Service Mesh Interface
  • 33.
  • 34. Roadmap As of 2.3: 🗺 Telemetry, retries, timeouts, auto-inject, mTLS on by default. All zero config. 2.4 🗺 Traffic shifting (blue-green, canaries), install split. Mid term: 🗺 Policy, mesh expansion, distributed tracing, lots lots more.
  • 35.
  • 36. F R O M Y O U R F R I E N D S A T Join our community! @linkerdgithub.com/linkerd slack.linkerd.io
  • 37. Watch the video with slide synchronization on InfoQ.com! https://www.infoq.com/presentations/ linkerd-cloud-native/