Spring IO - Spring Boot for DevOps

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Spring Boot is a product from Spring, that provides many configuration defaults for a new Spring project, so that one can set up a project in minutes. However, this is only one of the many features of Spring Boot. One of its module also provides many important Non-Functional Requirements out-of-the-box: monitoring, metrics, exposing those over HTTP, etc. In this presentation, I’ll demo some of those, that will make DevOps more than a little happy.

Software

Spring boot for devops
Nicolas Frankel
@nicolas_frankel

Me, Myself and I
• Developer & Architect
– As Consultant
• Teacher/trainer
• Book Author
• Blogger
@nicolas_frankel

DevOps
• Devs and Ops
collaboration?
• Treat your infrastructure as
code?
• Automate everything?
@nicolas_frankel

DevOps
• Monitoring
• Metrics
@nicolas_frankel

Non-Functional Requirements
• Monitoring
–Health checks
–Metrics
@nicolas_frankel

Non-Functional Requirements
• Configuration
– Beans
– Property values
– Controller mappings
– Etc.
@nicolas_frankel

Enough talk, time for a demo
@nicolas_frankel

Dropwizard Metrics
• A metrics model
• Exporters to backends
• And more…
@nicolas_frankel

Simple metrics
• Gauge
– Simple value
• Counter
– Incrementable gauge
@nicolas_frankel

Dropwizard reporters
• JMX
• Graphite
• (HTTP)
@nicolas_frankel

jconsole
• JMX-compliant GUI for
monitoring JVM
@nicolas_frankel

Graphite
• Store numeric time-series
data
• Render graphs of this data
on demand
@nicolas_frankel

Metrics are not only technical
@nicolas_frankel

Health checks
• A good way to monitor
your application
• Each check wraps a
dependency
–e.g. a datasource
@nicolas_frankel

Health checks
• Each check returns an
Health object
–Status UP or DOWN
–If not, possibly with
details
@nicolas_frankel

Health check endpoint
• /health aggregates all
checks
• Health are objects
–Serialized in JSON
• If only one is down, the
HTTP code is set to 5xx
@nicolas_frankel

Health check
• Bean must implement
HealthIndicator
• Doesn’t use Dropwizard
HealthCheck
@nicolas_frankel

References
• Graphite Vagrant
– https://github.com/tilmans/vagrant-statsd-graphite-
puppet
• Enhanced Spring Pet Clinic
– https://github.com/nfrankel/enhanced-pet-clinic
@nicolas_frankel

Q&A
• @nicolas_frankel
• http://blog.frankel.ch/
• https://leanpub.com/integ
rationtest/
@nicolas_frankel

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A couple of years ago, continuous integration in the JVM ecosystem meant Jenkins. Since that time, a lot of other tools have been made available. But new tools don’t mean new features, just new ways. Besides that, what about continuous deployment? There’s no tool that allows deploying new versions of a JVM-based application without downtime. The only way to achieve zero downtime is to have multiple nodes deployed on a platform, and let that platform achieve that e.g. Kubernetes. And yet, achieving true continuous deployment of bytecode on one single JVM instance is possible if one changes one’s way of looking at things. What if the compilation could be seen as changes? What if those changes could be stored in a data store, and a listener on this data store could stream those changes to the running production JVM via the Attach API? In this talk, we'll demo exactly that using Hazelcast and Hazelcast Jet - but it’s possible to re-use the principles that will be shown using other streaming technologies.

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In Kubernetes, operators allow the API to be extended to your heart content. If one task requires too much YAML, it’s easy to create an operator to take care of the repetitive cruft, and only require a minimum amount of YAML. On the other hand, since its beginnings, the Go language has been advertised as closer to the hardware, and is now ubiquitous in low-level programming. Kubernetes has been rewritten from Java to Go, and its whole ecosystem revolves around Go. For that reason, It’s only natural that Kubernetes provides a Go-based framework to create your own operator. While it makes sense, it requires organizations willing to go down this road to have Go developers, and/or train their teams in Go. While perfectly acceptable, this is not the only option. In fact, since Kubernetes is based on REST, why settle for Go and not use your own favourite language? In this talk, I will describe what an operator is, how they work, how to design one, and finally demo a Java-based operator that is as good as a Go one.

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1. Spring boot for devops Nicolas Frankel @nicolas_frankel

2. Me, Myself and I • Developer & Architect – As Consultant • Teacher/trainer • Book Author • Blogger @nicolas_frankel

3. Working for hybris @nicolas_frankel

4. DevOps • Devs and Ops collaboration? • Treat your infrastructure as code? • Automate everything? @nicolas_frankel

5. DevOps • Monitoring • Metrics @nicolas_frankel

6. A little story @nicolas_frankel

7. Non-Functional Requirements • Monitoring –Health checks –Metrics @nicolas_frankel

8. Non-Functional Requirements • Configuration – Beans – Property values – Controller mappings – Etc. @nicolas_frankel

9. Enough talk, time for a demo @nicolas_frankel

10. Dropwizard Metrics • A metrics model • Exporters to backends • And more… @nicolas_frankel

11. Simple metrics • Gauge – Simple value • Counter – Incrementable gauge @nicolas_frankel

12. Dropwizard reporters • JMX • Graphite • (HTTP) @nicolas_frankel

13. jconsole • JMX-compliant GUI for monitoring JVM @nicolas_frankel

14. @nicolas_frankel

15. Graphite • Store numeric time-series data • Render graphs of this data on demand @nicolas_frankel

16. For development • Either define the 2 reporters – Set @ConditionalOnMissingBean – Use a "Development" profile • Or define only the JMX reporter – In production, use JMXTrans @nicolas_frankel

17. Metrics are not only technical @nicolas_frankel

18. Health checks • A good way to monitor your application • Each check wraps a dependency –e.g. a datasource @nicolas_frankel

19. Health checks • Each check returns an Health object –Status UP or DOWN –If not, possibly with details @nicolas_frankel

20. Health check endpoint • /health aggregates all checks • Health are objects –Serialized in JSON • If only one is down, the HTTP code is set to 5xx @nicolas_frankel

21. Health check • Bean must implement HealthIndicator • Doesn’t use Dropwizard HealthCheck @nicolas_frankel

22. References • Graphite Vagrant – https://github.com/tilmans/vagrant-statsd-graphite- puppet • Enhanced Spring Pet Clinic – https://github.com/nfrankel/enhanced-pet-clinic @nicolas_frankel

23. Q&A • @nicolas_frankel • http://blog.frankel.ch/ • https://leanpub.com/integ rationtest/ @nicolas_frankel

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