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Easy Debugging of Java Microservices
Running on Kubernetes, with Telepresence
Daniel Bryant
@danielbryantuk
tl;dr
2
• The inner development loop can be painful with Java microservices & Kubernetes


• Telepresence “proxies” your local machine into the cluster, increasing fast feedback


• Telepresence supports several workflows, from small to large systems


• Please support this CNCF project — get involved!
@danielbryantuk
3
Setting the Scene
4
@danielbryantuk
Inner and outer dev loops
5
Hat tip to Mitch Denny (now 404): https://mitchdenny.com/the-inner-loop/


http://jorgemoral.es/posts/2020_03_17-develop_apps…
@danielbryantuk
Inner and outer loop with K8s can be the same
6
• Write code


• Build container


• Push to registry


• Deploy to cluster


• Test
And can be …. SLOW.
@danielbryantuk
Automation can help…
7
@danielbryantuk
tl;dr
8
But you want a really fast inner loop (no docker build/push) …
@danielbryantuk
tl;dr
9 And you want to use your own tools.
@danielbryantuk
So, let’s run everything locally…
10
@danielbryantuk
tl;dr
11
“My laptop only
has 16GB RAM and
you’re asking it to
run Kubernetes
and a JVM and a
database???”
@danielbryantuk
12
@danielbryantuk
What is Telepresence
13
• “Fancy Kubernetes VPN for development


• “kubectl port-forward on steroids”


• A network bridge between your laptop and the Kubernetes cluster
@danielbryantuk
Telepresence: Local-to-Remote bridge
14
@danielbryantuk
Telepresence: Local-to-Remote bridge
15
www.youtube.com/watch?v=W_a3aErN3NU
Demo Time!
16
@danielbryantuk
Preview URLs, Personal Intercepts
17
@danielbryantuk
Telepresence: Local-to-Remote bridge
18
telepresence connect


• Open a tunnel to the remote cluster; exposes “in-cluster” services/network/DNS


telepresence intercept my-service —port 3000


• Re-routes (intercepts) tra
ff
ic to my-service in the remote cluster to my local machine


telepresence login & telepresence intercept


• Create preview URL to isolate and share results of the intercept
@danielbryantuk
Telepresence: Local-to-Remote bridge
$ telepresence intercept dataprocessingnodeservice --port 3000
19
Using deployment dataprocessingnodeservice


intercepted


State : ACTIVE


Destination : 127.0.0.1:3000


Intercepting: HTTP requests that match all of:


header("x-telepresence-intercept-id") ~= regexp ("76a1e848-1829-74x-1138-e3294c1e9119:dataprocessingnodeservice")


Preview URL : https://[random-subdomain].preview.edgestack.me


www.youtube.com/watch?v=W_a3aErN3NU
The Good, the Bad, and the
“Don’t Try this at Home”
20
@danielbryantuk
Benefits
21
• Use any tool that runs on your laptop: IDE, profiler, debugger, …


• Connect to cloud-based resources


• Same network namespace (e.g., nslookup works)


• Very fast inner loop!
@danielbryantuk
Requirements
22
• Network connection


• kubectl access to cluster


• Mac, Linux, or WSL2
@danielbryantuk
23
@danielbryantuk
tl;dr
24
• Capturing DNS and routing selectively to the
cluster is tricky


• Maintaining proxy connections can be
challenging


• Kubernetes has many resource types


• No two laptops are alike


• No two clusters are alike


• And more
@danielbryantuk
Telepresence is a CNCF project, with a wide variety of users
25
Workflows
26
@danielbryantuk
Simple Workflow (YOLO)
27
• One (production) cluster for single-source-of-truth microservices


• Developer checks out code and works on microservices


• Intercepts services on demand using Telepresence + IDE


• Once code is done, microservices are built and deployed via pipeline


Testing in production can be… scary
@danielbryantuk
28
@danielbryantuk
Typical Workflow (SME)
29
• One shared (dev) cluster for single-source-of-truth microservices


• Developers check out one of the microservices (and coordinate with other devs)


• Watch for coupled service/API evolution


• Take care with mutating shared state


• Developers intercept and work on services via Telepresence + IDE


• Pipeline is used to run tests, build, and deploy to staging and prod
https://www.youtube.com/watch?v=75soljoqhjY
@danielbryantuk
Advanced Workflow
30
• One cluster with multiple namespaces for all single-source-of-truth microservices


• Developers check out one of the microservices


• Developers use Bazel + Telepresence + IDE


• Telepresence (1) is used in container mode with Bazel images


• Once code is done, Jenkins is used to run tests, build, and deploy
https://www.youtube.com/watch?v=tD0FIlxO1AQ
Wrapping up
31
@danielbryantuk
Conclusion
32
• The inner development loop can be painful with Java microservices & Kubernetes


• Telepresence “proxies” your local dev machine into the cluster, increasing fast feedback


• Telepresence supports several workflows, from small to large systems


• Please support this CNCF project — get involved!
@danielbryantuk
Contributing to Telepresence
33
• Documentation and workflows


• Explain how you integrate Telepresence into your development workflow


• Let us know if you’re a user!


• Triage


• Lots of folks use GitHub for support, which doesn’t scale well


• Join Slack to help other users https://a8r.io/slack #telepresence
@danielbryantuk
Thank you! Questions?
34
getambassador.io/products/telepresence


Easy Debugging of Spring Boot Microservices
Running on Kubernetes


AL Developer O
ff
ice Hours


db@datawire.com / @danielbryantuk
@danielbryantuk
35
Bonus: Patterns, practices, and
tooling
@danielbryantuk
Putting it All Together: Safety and Speed
36
https://www.weave.works/blog/what-is-gitops-really
Development Production
Fast inner/outer dev loop GitOps
Speed
Safety
37
Develop
Test
Deploy/
Release
Run
Progressive Delivery


Rollback
Observability


Chaos Engineering


Runbooks
Fast dev loop


Fast feedback
Realistic test
environments
Developer


Self-Service
@danielbryantuk
Pattern: Artifact Syncing
38
• Pain points:


• Can’t run all required dependent services locally


• Sick of code, build image, push to remote registry slow dev loop


• Integration tests rely on mocks (with implicit assumptions)


• Solution


• Deploy all services to remote environment and sync local changes (combine with buildpacks)


• O
ft
en combined with development environment bridging


• Example tool


• Ska
ff
old (ksync, Tilt, Garden)
@danielbryantuk
Pattern: Dev Environment Bridging/Extension
39
• Pain points:


• Can’t run all required dependent services locally


• Integration tests rely on mocks (with implicit assumptions)


• Need “hot reload” coupled to remote services/resources


• Solution


• Deploy all services to remote environment and proxy/re-route tra
ff
ic to/from
a local running copy of a service (or subset of services)


• Example tool


• Telepresence

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