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1 .Rust and Skaffold for Iterative
Development on Kubernetes
2 .宋子豪 Gilbert Song
Staff Software Engineer
● Apache Mesos PMC/Committer
● Leading Containerization at
Mesosphere
● Twitter: @gilbert_songs
3 .Gastón Kleiman
Staff Software Engineer
● Apache Mesos PMC/Committer
● Resource Management Tech Lead
at Mesosphere
● Previously at AWS OpsWorks
● Twitter: @kleimang
4 .Outline
Modern development techniques
Iterative Development
CI/CD
Immutable infrastructure + Containers
Challenges
Tools
Rust, Kubernetes, Skaffold
Demo
4
5 .Continuous/Iterative Development
• Design, develop, and test in repeated cycles
• Testing a new iteration must be quick & cheap
5
6 .Continuous Integration/Continuous Deployment
• Automated testing as well as deployment of a web application
• Containers make it possible to replicate the same environment during
development and in production
6
7 .Pets -> Cattle -> Immutable Infrastructure
7
8 .Challenges
• Building, pushing, and deploying isn’t easy
• Giant binaries/containers
• Applications need to be safe (concurrency + memory safety)
8
9 .Rust
• Created at Mozilla as a “safe, concurrent, practical language”
• Low-level (static) language, performance similar to C++
• Strong emphasis on safety, control of the memory layout, concurrency
• Great & friendly community
9
10 .Challenges with Rust
• Relatively young language
• Brings extra safety, but you have to pay some upfront price
• Many engineers are new to it; successfully integrating it into your stack can
cost significant engineering time
10
11 .Kubernetes
• Orchestrates containers across many different machines… or on your local
dev machine
• Enables you to use immutable infrastructure
• Useful abstractions/tools to easily deploy or scale services
• DC/OS Multi-Kubernetes-Engine
11
12 .Skaffold
• CLI tool that facilitates iterative development for Kubernetes applications
• Handles the workflow for building, pushing, and deploying an application
• Can be used to iterate on an application source code locally then deploy to
local or remote Kubernetes clusters
12
13 .Skaffold
Build Push Deploy
14 .Skaffold (Local)
Build Push Deploy
Local
Docker None Minikube
Daemon
14
15 .Skaffold (Remote)
Build Push Deploy
Google
Docker Registry
Container MKE on DC/OS
on DC/OS
Builder
15
16 .Using Skaffold
No need to have each new developer spend days setting up a new dev
environment
1. Create k8s manifests (pod specs, ingress settings, etc)
2. Tell skaffold via skaffold.yaml how to build and deploy the application
3. Use “skaffold dev” on your local machine to deploy to a minikube cluster
4. Make your CI/CD pipeline run “skaffold run” when new code is checked-in
16
17 .Demo Flow
Skaffold
Save Trigger
Build Push Deploy
Push
17
19 .Future Work
• Make the service highly-available:
• Use an HA posgres setup
• Zero-downtime deployments
• Utilize more of the dependencies’ capabilities and increase efficiency:
• Use connection pools for Diesel
• Use Rocket managed state
19
20 .Resources
• Mesosphere Kubernetes Engine (MKE) -
https://mesosphere.com/product/kubernetes-engine/
• https://github.com/shaneutt/dcos-k8s-rust-skaffold-demo
20
21 .Special Thanks
Shane Utt Jörg Schad
21
22 . THANK YOU!
ANY
QUESTIONS?
https://mesosphere.com/resources/running-kubernet
es-oreilly-ebook/
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