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Small docs tweaks in metrics

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This commit is contained in:
Dave Syer 2014-05-22 14:51:19 +01:00
parent b12d7c705c
commit 0dca2dd978
2 changed files with 13 additions and 3 deletions
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7
spring-boot-actuator/src/main/java/org/springframework/boot/actuate/metrics/repository/redis/RedisMetricRepository.java
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@ -32,8 +32,11 @@ import org.springframework.util.Assert;
/**
* A {@link MetricRepository} implementation for a redis backend. Metric values are stored
* as regular hash values against a key composed of the metric name prefixed with a
* constant (default "spring.metrics.").
* as zset values plus a regular hash value for the timestamp, both against a key composed
* of the metric name prefixed with a constant (default "spring.metrics."). If you have
* multiple metrics repositories all point at the same instance of Redis, it may be useful
* to change the prefix to be unique (but not if you want them to contribute to the same
* metrics).
*
* @author Dave Syer
*/

9
spring-boot-docs/src/main/asciidoc/production-ready-features.adoc
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@ -658,12 +658,19 @@ http://matt.aimonetti.net/posts/2013/06/26/practical-guide-to-graphite-monitorin
Metric service implementations are usually bound to a
{sc-spring-boot-actuator}/metrics/repository/MetricRepository.{sc-ext}[`MetricRepository`].
A `MetricRepository` is responsible for storing and retrieving metric information. Spring
Boot provides an `InMemoryMessageRespository` and a `RedisMetricRepository` out of the
Boot provides an `InMemoryMetricRespository` and a `RedisMetricRepository` out of the
box (the in-memory repository is the default) but you can also write your own. The
`MetricRepository` interface is actually composed of higher level `MetricReader` and
`MetricWriter` interfaces. For full details refer to the
{dc-spring-boot-actuator}/metrics/repository/MetricRepository.{dc-ext}[Javadoc].
There's nothing to stop you hooking a `MetricRepository` with back-end storage directly
into your app, but we recommend using the default `InMemoryMetricRespository`
(possibly with a custom `Map` instance if you are worried about heap usage) and
populating a back-end repository through a scheduled export job. In that way you get
some buffering in memory of the metric values and you can reduce the network
chatter by exporting less frequently or in batches. Spring Boot provides
an `Exporter` interface and a few basic implementations for you to get started with that.
[[production-ready-code-hale-metrics]]