spring-boot

Spring Boot

Tree: 3c7361fb3e

Dave Syer aa2b020660 Refactor metrics to expose richer feature set Main user-facing interface is still Counter/GaugeService but the back end behind that has more options. The Default*Services write metrics to a MetricWriter and there are some variants of that, and also variants of MetricReader (basic read-only actions). MetricRepository is now a combination of MetricReader, MetricWriter and some more methods that make it a bit more repository like. There is also a MultiMetricReader and a MultiMetricRepository for the common case where metrics are stored in related (often open ended) groups. Examples would be complex metrics like histograms and "rich" metrics with averages and statistics attached (which are both closed) and "field counters" which count the occurrences of values of a particular named field or slot in an incoming message (e.g. counting Twitter hastags, open ended). In memory and redis implementations are provided for the repositories. Generally speaking the in memory repository should be used as a local buffer and then scheduled "exports" can be executed to copy metric values accross to a remote repository for aggregation. There is an Exporter interface to support this and a few implementations dealing with different strategies for storing the results (singly or grouped). Codahale metrics are also supported through the MetricWriter interface. Currently implemented through a naming convention (since Codahale has a fixed object model this makes sense): metrics beginning with "histogram" are Histograms, "timer" for Timers, "meter" for Meters etc. Support for message driven metric consumption and production are provided through a MetricWriterMessageHandler and a MessageChannelMetricWriter. No support yet for pagination in the repositories, or for HATEOAS style HTTP endpoints.	12 years ago
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pom.xml	Refactor metrics to expose richer feature set	12 years ago

Dave Syer aa2b020660 Refactor metrics to expose richer feature set

Main user-facing interface is still Counter/GaugeService but the
back end behind that has more options. The Default*Services write
metrics to a MetricWriter and there are some variants of that, and
also variants of MetricReader (basic read-only actions).

MetricRepository is now a combination of MetricReader, MetricWriter
and some more methods that make it a bit more repository like.

There is also a MultiMetricReader and a MultiMetricRepository for
the common case where metrics are stored in related (often open
ended) groups. Examples would be complex metrics like histograms
and "rich" metrics with averages and statistics attached (which
are both closed) and "field counters" which count the occurrences
of values of a particular named field or slot in an incoming message
(e.g. counting Twitter hastags, open ended).

In memory and redis implementations are provided for the repositories.
Generally speaking the in memory repository should be used as a
local buffer and then scheduled "exports" can be executed to copy
metric values accross to a remote repository for aggregation.
There is an Exporter interface to support this and a few implementations
dealing with different strategies for storing the results (singly or
grouped).

Codahale metrics are also supported through the MetricWriter interface.
Currently implemented through a naming convention (since Codahale has
a fixed object model this makes sense): metrics beginning with "histogram"
are Histograms, "timer" for Timers, "meter" for Meters etc.

Support for message driven metric consumption and production are provided
through a MetricWriterMessageHandler and a MessageChannelMetricWriter.

No support yet for pagination in the repositories, or for HATEOAS style
HTTP endpoints.

12 years ago

pom.xml

Refactor metrics to expose richer feature set

12 years ago