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Cloud Native Development Without the Toil:


Key Practices and Tooling
Daniel Bryant
@danielbryantuk
tl;dr
2
• Continuous delivery requires safety and speed throughout the engineering workflow


• Bringing old mental models and tools can increase toil when building, testing, and
running cloud native services


• Artifact syncing, dev environment bridging, and GitOps increase both safety and speed
@danielbryantuk
3
@danielbryantuk
4
The quest for happy users
Why we’re all here: Happy users
https://dilbert.com/strip/2014-02-25
@danielbryantuk
Continuous delivery of value
5
“Continuous delivery is achieved when stability and speed
can satisfy business demand.


Discontinuous delivery occurs when stability and speed


are insu
ff
icient.”


- Steve Smith (@SteveSmith_Tech)
@danielbryantuk
Continuous delivery of value
6
“Continuous delivery is achieved when stability and speed
can satisfy business demand.


Discontinuous delivery occurs when stability and speed


are insu
ff
icient.”


- Steve Smith (@SteveSmith_Tech)
@danielbryantuk
Continuous delivery of value
7
“Continuous delivery is achieved when stability and speed
can satisfy [your] business demand.


Discontinuous delivery occurs when stability and speed


are insu
ff
icient.”


- Steve Smith (@SteveSmith_Tech)
8
Two modern so
ft
ware trends


for speed and safety
@danielbryantuk
Trend #1: Microservices
9
• Modularisation


• Aka “microservices”


• Independently:


• Build


• Release


• Scale


• Operate


• Strive for


• High cohesion


• Loose coupling
@danielbryantuk
Trend #2: Kubernetes
10
• Automated orchestration of container-based services


• Declarative config (with reconciliation loops)


• Common API/platform to support and extend


• But… a non-trivial set of abstractions/components for developers


• And it’s not a PaaS
@danielbryantuk
tl;dr
11
With cloud native, the focus is o
ft
en on speed
The Kubernetes Migration Journey(s)
12
Exploration
Organizational buy-in Cloud-native organization


(Loosely coupled, highly aligned)
We’re not actually moving faster
Let’s release our microservices as a monolith
Centres of excellence
No coordination results in disasters and blame
Investing in “paved road” platforms


And new dev workflows
Clinging to old mental models


and “the way it’s always been done”
13
Safety


The ability to quickly ship
changes to production,
without fear
Safety requires multiple strategies
14
Prevention
Mitigation
Detection
Response
Most common strategy (e.g., testing, QA, gated release)
Critical strategies for cloud-native organizations when
the application is a “complex adaptive system”
}
}
Safety Strategies in the Cloud
15
Prevention
Mitigation
Detection
Response
• Testing: integration tests, user acceptance tests, …


• High-fidelity replica environments for dev & test
• Engineering for resilience


• Progressive delivery: canary release, blue/green rollouts, …
• Observability


• Chaos engineering
• Instant rollback & traceability


• Runbooks, fast dev / test loops


• Blameless postmortems


• Game days
Safety needs to
be part of your
workflow.
16
Develop
Test
Deploy/
Release
Run
Progressive Delivery


Rollback
Observability


Chaos Engineering


Runbooks
Fast dev loop


Fast feedback
Realistic test
environments
17
Develop
Test
Deploy/
Release
Run
Progressive Delivery


Rollback
Observability


Chaos Engineering


Runbooks
Fast dev loop


Fast feedback
Realistic test
environments
Developer


Self-Service
@danielbryantuk
18
Patterns, practices, and tooling
@danielbryantuk
Pattern: Artifact Syncing
19
• 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
Ska
ff
old: “Source to K8s” CLI Tool
$ skaffold dev
20
Listing files to watch...


- skaffold-example


Generating tags...


- skaffold-example -> skaffold-example:v1.1.0-113-g4649f2c16


Checking cache...


- skaffold-example: Not found. Building


Found [docker-desktop] context, using local docker daemon.


Building [skaffold-example]...


Sending build context to Docker daemon 3.072kB


Step 1/6 : FROM golang:1.12.9-alpine3.10 as builder


---> e0d646523991


Step 2/6 : COPY main.go .


---> Using cache


---> e4788ffa88e7


Step 3/6 : RUN go build -o /app main.go


---> Using cache


---> 686396d9e9cc


Step 4/6 : FROM alpine:3.10


---> 965ea09ff2eb


Step 5/6 : CMD ["./app"]


---> Using cache


---> be0603b9d79e


Step 6/6 : COPY --from=builder /app .


---> Using cache


---> c827aa5a4b12


Successfully built c827aa5a4b12


Successfully tagged skaffold-example:v1.1.0-113-g4649f2c16


Tags used in deployment:


- skaffold-example -> skaffold-example:c827aa5a4b12e707163842b803d666eda11b8ec20c7a480198960cfdcb251042


local images can't be referenced by digest. They are tagged and referenced by a unique ID instead


Starting deploy...


- pod/getting-started created


Watching for changes...


[getting-started] Hello world!


[getting-started] Hello world!


[getting-started] Hello world!
@danielbryantuk
Ska
ff
old: “Source to K8s” CLI Tool
21
@danielbryantuk
Ska
ff
old: “Source to K8s” CLI tool
22
skaffold dev & skaffold debug


• Detects changes in your source code and handles the pipeline to build,
push


skaffold build and skaffold deploy


• Execute as part of your CI/CD pipeline, or ska
ff
old run end-to-end


skaffold render


• Build your images and render templated Kubernetes manifests for use
in GitOps workflows
@danielbryantuk
Pattern: Dev Environment Bridging/Extension
23
• 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 (kubefwd, Okteto)
@danielbryantuk
Telepresence: Local-to-Remote bridge
$ telepresence intercept dataprocessingnodeservice --port 3000
24
@danielbryantuk
Telepresence: Local-to-Remote bridge
25
www.youtube.com/watch?v=W_a3aErN3NU
@danielbryantuk
Telepresence: Local-to-Remote bridge
26
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
27
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
@danielbryantuk
Pattern: GitOps
28
• Pain points:


• No repeatable, auditable, & understandable deployment of infra and apps


• Slow hand-o
ff
s and manual deploys


• Solution


• Use version control (git) as single source of truth


• Declarative config; reconciled against target cluster


• Example tool


• Argo CD (Flux, JenkinsX, werf)
https://www.weave.works/blog/what-is-gitops-really
@danielbryantuk
Argo CD: GitOps for K8s
29
$ argocd app create guestbook --repo https://github.com/argoproj/argocd-example-apps.git /


--path guestbook --dest-server https://kubernetes.default.svc --dest-namespace default
@danielbryantuk
GitOps in a Nutshell
30
https://www.weave.works/blog/the-gitops-pipeline
@danielbryantuk
Argo Rollouts: K8s Progressive Delivery Controller
31
@danielbryantuk
Putting it All Together: Safety and Speed
32
https://www.weave.works/blog/what-is-gitops-really
Development Production
Artifact syncing, Dev Env Bridging GitOps
Speed
Safety
@danielbryantuk
33
What about the platform
and the people?
@danielbryantuk
Workflow: Full Cycle Development
34
• 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
app.getambassador.io
thenewstack.io/learning-kubernetes-the-need-for-a-realistic-playground
@danielbryantuk
Conclusion
36
• Continuous delivery of value to users requires a focus on safety and
speed throughout the engineering workflow


• Bringing old mental models and tools can add toil to the process of
building, deploying, and operating cloud native services


• Adopt best practices first, such as artifact syncing, dev environment
bridging, and GitOps to increase both safety and speed
@danielbryantuk
• Learn more:


• www.getambassador.io/resources


• www.getambassador.io/use-case/local-kubernetes-development


• www.infoq.com/profile/Daniel-Bryant


• Find me in:


• Datawire OSS Slack: d6e.co/slack


• Twitter @danielbryantuk
Many thanks!
37

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GOTOpia 2/2021 "Cloud Native Development Without the Toil: An Overview of Practices and Tooling"

  • 1. Cloud Native Development Without the Toil: Key Practices and Tooling Daniel Bryant
  • 2. @danielbryantuk tl;dr 2 • Continuous delivery requires safety and speed throughout the engineering workflow • Bringing old mental models and tools can increase toil when building, testing, and running cloud native services • Artifact syncing, dev environment bridging, and GitOps increase both safety and speed
  • 4. @danielbryantuk 4 The quest for happy users Why we’re all here: Happy users https://dilbert.com/strip/2014-02-25
  • 5. @danielbryantuk Continuous delivery of value 5 “Continuous delivery is achieved when stability and speed can satisfy business demand. Discontinuous delivery occurs when stability and speed are insu ff icient.” - Steve Smith (@SteveSmith_Tech)
  • 6. @danielbryantuk Continuous delivery of value 6 “Continuous delivery is achieved when stability and speed can satisfy business demand. Discontinuous delivery occurs when stability and speed are insu ff icient.” - Steve Smith (@SteveSmith_Tech)
  • 7. @danielbryantuk Continuous delivery of value 7 “Continuous delivery is achieved when stability and speed can satisfy [your] business demand. Discontinuous delivery occurs when stability and speed are insu ff icient.” - Steve Smith (@SteveSmith_Tech)
  • 8. 8 Two modern so ft ware trends for speed and safety
  • 9. @danielbryantuk Trend #1: Microservices 9 • Modularisation • Aka “microservices” • Independently: • Build • Release • Scale • Operate • Strive for • High cohesion • Loose coupling
  • 10. @danielbryantuk Trend #2: Kubernetes 10 • Automated orchestration of container-based services • Declarative config (with reconciliation loops) • Common API/platform to support and extend • But… a non-trivial set of abstractions/components for developers • And it’s not a PaaS
  • 11. @danielbryantuk tl;dr 11 With cloud native, the focus is o ft en on speed
  • 12. The Kubernetes Migration Journey(s) 12 Exploration Organizational buy-in Cloud-native organization (Loosely coupled, highly aligned) We’re not actually moving faster Let’s release our microservices as a monolith Centres of excellence No coordination results in disasters and blame Investing in “paved road” platforms And new dev workflows Clinging to old mental models and “the way it’s always been done”
  • 13. 13 Safety The ability to quickly ship changes to production, without fear
  • 14. Safety requires multiple strategies 14 Prevention Mitigation Detection Response Most common strategy (e.g., testing, QA, gated release) Critical strategies for cloud-native organizations when the application is a “complex adaptive system” } }
  • 15. Safety Strategies in the Cloud 15 Prevention Mitigation Detection Response • Testing: integration tests, user acceptance tests, … • High-fidelity replica environments for dev & test • Engineering for resilience • Progressive delivery: canary release, blue/green rollouts, … • Observability • Chaos engineering • Instant rollback & traceability • Runbooks, fast dev / test loops • Blameless postmortems • Game days
  • 16. Safety needs to be part of your workflow. 16 Develop Test Deploy/ Release Run Progressive Delivery Rollback Observability Chaos Engineering Runbooks Fast dev loop Fast feedback Realistic test environments
  • 17. 17 Develop Test Deploy/ Release Run Progressive Delivery Rollback Observability Chaos Engineering Runbooks Fast dev loop Fast feedback Realistic test environments Developer Self-Service
  • 19. @danielbryantuk Pattern: Artifact Syncing 19 • 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)
  • 20. @danielbryantuk Ska ff old: “Source to K8s” CLI Tool $ skaffold dev 20 Listing files to watch... - skaffold-example Generating tags... - skaffold-example -> skaffold-example:v1.1.0-113-g4649f2c16 Checking cache... - skaffold-example: Not found. Building Found [docker-desktop] context, using local docker daemon. Building [skaffold-example]... Sending build context to Docker daemon 3.072kB Step 1/6 : FROM golang:1.12.9-alpine3.10 as builder ---> e0d646523991 Step 2/6 : COPY main.go . ---> Using cache ---> e4788ffa88e7 Step 3/6 : RUN go build -o /app main.go ---> Using cache ---> 686396d9e9cc Step 4/6 : FROM alpine:3.10 ---> 965ea09ff2eb Step 5/6 : CMD ["./app"] ---> Using cache ---> be0603b9d79e Step 6/6 : COPY --from=builder /app . ---> Using cache ---> c827aa5a4b12 Successfully built c827aa5a4b12 Successfully tagged skaffold-example:v1.1.0-113-g4649f2c16 Tags used in deployment: - skaffold-example -> skaffold-example:c827aa5a4b12e707163842b803d666eda11b8ec20c7a480198960cfdcb251042 local images can't be referenced by digest. They are tagged and referenced by a unique ID instead Starting deploy... - pod/getting-started created Watching for changes... [getting-started] Hello world! [getting-started] Hello world! [getting-started] Hello world!
  • 22. @danielbryantuk Ska ff old: “Source to K8s” CLI tool 22 skaffold dev & skaffold debug • Detects changes in your source code and handles the pipeline to build, push skaffold build and skaffold deploy • Execute as part of your CI/CD pipeline, or ska ff old run end-to-end skaffold render • Build your images and render templated Kubernetes manifests for use in GitOps workflows
  • 23. @danielbryantuk Pattern: Dev Environment Bridging/Extension 23 • 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 (kubefwd, Okteto)
  • 24. @danielbryantuk Telepresence: Local-to-Remote bridge $ telepresence intercept dataprocessingnodeservice --port 3000 24
  • 26. @danielbryantuk Telepresence: Local-to-Remote bridge 26 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
  • 27. @danielbryantuk Telepresence: Local-to-Remote bridge $ telepresence intercept dataprocessingnodeservice --port 3000 27 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
  • 28. @danielbryantuk Pattern: GitOps 28 • Pain points: • No repeatable, auditable, & understandable deployment of infra and apps • Slow hand-o ff s and manual deploys • Solution • Use version control (git) as single source of truth • Declarative config; reconciled against target cluster • Example tool • Argo CD (Flux, JenkinsX, werf) https://www.weave.works/blog/what-is-gitops-really
  • 29. @danielbryantuk Argo CD: GitOps for K8s 29 $ argocd app create guestbook --repo https://github.com/argoproj/argocd-example-apps.git / --path guestbook --dest-server https://kubernetes.default.svc --dest-namespace default
  • 30. @danielbryantuk GitOps in a Nutshell 30 https://www.weave.works/blog/the-gitops-pipeline
  • 31. @danielbryantuk Argo Rollouts: K8s Progressive Delivery Controller 31
  • 32. @danielbryantuk Putting it All Together: Safety and Speed 32 https://www.weave.works/blog/what-is-gitops-really Development Production Artifact syncing, Dev Env Bridging GitOps Speed Safety
  • 33. @danielbryantuk 33 What about the platform and the people?
  • 34. @danielbryantuk Workflow: Full Cycle Development 34 • 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
  • 36. @danielbryantuk Conclusion 36 • Continuous delivery of value to users requires a focus on safety and speed throughout the engineering workflow • Bringing old mental models and tools can add toil to the process of building, deploying, and operating cloud native services • Adopt best practices first, such as artifact syncing, dev environment bridging, and GitOps to increase both safety and speed
  • 37. @danielbryantuk • Learn more: • www.getambassador.io/resources • www.getambassador.io/use-case/local-kubernetes-development • www.infoq.com/profile/Daniel-Bryant • Find me in: • Datawire OSS Slack: d6e.co/slack • Twitter @danielbryantuk Many thanks! 37