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Spring Boot for DevOpsNicolas Fränkel

@nicolas_frankel

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Me, Myself and I• By day

– hybris consultant• By night

– Teacher/trainer– Blogger– Book author

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DevOps• Devs and Ops collaboration?• Treat your infrastructure as

code?• Automate everything?

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DevOps• Meta-data• Health checks• Metrics

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A little story

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Spring Boot to the rescue

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Non-Functional Requirements• Meta data• Monitoring

– Health checks– Metrics

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Non-Functional Requirements• Configuration

– Beans– Property values– Controller mappings– etc.

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Enough talk, time for a demo

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1. Meta data

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Meta data• Which application?

– groupId– applicationId

• Version– From Maven– From Git

• Anything!!!

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Demo time

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2. Health checks

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Health checks• A good way to monitor your

application• Each check wraps a

dependency• e.g. a datasource

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Health checks• Each check returns an Health

object– Status

• UP • DOWN• UNKWOWN• OUT_OF_SERVICE

– Possibly with details

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Health checks endpoint• /health aggregates all checks• Health are objects

– Serialized in JSON• If only one is down, the HTTP

code is set to 5xx

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Health checks• Bean must implement

HealthIndicator• Doesn’t use Dropwizard

HealthCheck

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Demo time

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3. Metrics

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

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Simple metrics• Gauge

– Simple value• Counter

– Incrementable gauge

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jconsole• JMX-compliant GUI for

monitoring JVM

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Demo time

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

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

demand

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Demo time

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For development• Either define the 2 reporters

– Set @ConditionalOnMissingBean

– Use a "Development" profile• Or define only the JMX reporter

– In production, use JMXTrans

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Metrics are not only technical

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Q&Ahttps://github.com/nfrankel/enhanced-pet-clinic@nicolas_frankel http://frankel.in/http://blog.frankel.ch/