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author | Diego <diegolparra@gmail.com> | 2014-04-02 20:09:32 -0300 |
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committer | Diego <diegolparra@gmail.com> | 2014-04-02 20:09:32 -0300 |
commit | da175cf33138f07cb4a93e5ea7baa9e9d4787349 (patch) | |
tree | 076f7d52fdddfccf38515f0bc0ef3a644ddd4bef | |
parent | 26749807021168226b5a601fe6b5e9c1225218eb (diff) | |
parent | 9b1c6345dee40fa0869d1e18799be0ba4b0ef790 (diff) | |
download | Kamon-da175cf33138f07cb4a93e5ea7baa9e9d4787349.tar.gz Kamon-da175cf33138f07cb4a93e5ea7baa9e9d4787349.tar.bz2 Kamon-da175cf33138f07cb4a93e5ea7baa9e9d4787349.zip |
Merge branch 'master' of github.com:kamon-io/Kamon
-rw-r--r-- | .gitignore | 1 | ||||
-rw-r--r-- | site/src/main/jekyll/_includes/navigation-bar.html | 1 | ||||
-rw-r--r-- | site/src/main/jekyll/acknowledgments.md | 36 | ||||
-rw-r--r-- | site/src/main/jekyll/assets/img/diagrams/metric-collection-concepts.png | bin | 0 -> 131456 bytes | |||
-rw-r--r-- | site/src/main/jekyll/core/metrics.md | 80 |
5 files changed, 103 insertions, 15 deletions
@@ -3,6 +3,7 @@ .history *.sc .pygments-cache +.DS_Store # sbt specific dist/* diff --git a/site/src/main/jekyll/_includes/navigation-bar.html b/site/src/main/jekyll/_includes/navigation-bar.html index 4103de05..d104d058 100644 --- a/site/src/main/jekyll/_includes/navigation-bar.html +++ b/site/src/main/jekyll/_includes/navigation-bar.html @@ -37,6 +37,7 @@ <li><a tabindex="-1" href="https://groups.google.com/forum/#!forum/kamon-user"><i class="fa fa-google-plus"></i> Mailing List</a></li> </ul> </li> + <li><a href="/acknowledgments/">Acknowledgments</a></li> <li><a href="/teamblog/">Team Blog</a></li> </ul> </div> diff --git a/site/src/main/jekyll/acknowledgments.md b/site/src/main/jekyll/acknowledgments.md new file mode 100644 index 00000000..f75f4e24 --- /dev/null +++ b/site/src/main/jekyll/acknowledgments.md @@ -0,0 +1,36 @@ +--- +title: Kamon | Acknowledgments +layout: default +--- + +Acknowledgments +=============== + +We, the Kamon team, would like to express our gratitude to all the people and companies that help us make Kamon the best +solution in the metrics collection space for Akka, Spray and Play!. Let's give names and regards to this wonderful +fellows: + +Our contributors +---------------- + +Everything starts with an idea, and [this](https://github.com/kamon-io/Kamon/graphs/contributors) guys are helping us +take that idea and make it a reality. A reality that is helping developers around the world to measure and monitor their +success with reactive technologies. Kudos to all of you! + + +Our users +--------- + +It is absolutely rewarding to know that Kamon is useful for people around the world, and it is even better when these +people come to us looking for help, reporting issues, giving feedback or telling us how smoothly Kamon is monitoring +their production systems, thanks for using Kamon! keep coming and spread the word :). + + + +[YourKit, LLC](http://www.yourkit.com) +-------------------------------------- + +We care a lot about performance and we try hard to keep Kamon's overhead as low as possible, but we couldn't succeed on +this matter without [YourKit's Java Profiler](http://www.yourkit.com/java/profiler/index.jsp). It is well known to be +one of the best profilers out there and they have been so kind to support us by providing a open source use license to +Kamon developers. Thanks YourKit! We highly appreciate your support and commitment to the open source community. diff --git a/site/src/main/jekyll/assets/img/diagrams/metric-collection-concepts.png b/site/src/main/jekyll/assets/img/diagrams/metric-collection-concepts.png Binary files differnew file mode 100644 index 00000000..05f67710 --- /dev/null +++ b/site/src/main/jekyll/assets/img/diagrams/metric-collection-concepts.png diff --git a/site/src/main/jekyll/core/metrics.md b/site/src/main/jekyll/core/metrics.md index ab144d13..dcef8304 100644 --- a/site/src/main/jekyll/core/metrics.md +++ b/site/src/main/jekyll/core/metrics.md @@ -12,32 +12,82 @@ Philosophy ---------- Back in the day, the most common approach to get metrics out of an Akka/Spray application for production monitoring was -doing manual instrumentation: select your favorite metrics collection library, wrap you messages with some useful metadata, -wrap your actor's receive function with some metrics measuring code and, finally, push that metrics data out to somewhere -you can keep it, graph it and analyze it whenever you want. +doing manual instrumentation: select your favorite metrics collection library, wrap you messages with some useful +metadata, wrap your actor's receive function with some metrics measuring code and, finally, push that metrics data out +to somewhere you can keep it, graph it and analyse it whenever you want. -Each metrics collection library has it's own strengths and weaknesses, and each developer has to choose wisely according to the -requirements they have in hand, leading them in different paths as they progress with their applications. Each path has -different implications with regards to introduced overhead and latency, metrics data accuracy and memory consumption. Kamon takes this -responsibility out of the developer and tries to make the best choice to provide high performance metrics collection instruments -while keeping the inherent overhead as low as possible. +Each metrics collection library has it's own strengths and weaknesses, and each developer has to choose wisely according +to the requirements they have in hand, leading them in different paths as they progress with their applications. Each +path has different implications with regards to introduced overhead and latency, metrics data accuracy and memory +consumption. Kamon takes this responsibility out of the developer and tries to make the best choice to provide high +performance metrics collection instruments while keeping the inherent overhead as low as possible. Kamon tries to select the best possible approach, so you don't have to. - - Metrics Collection and Flushing ------------------------------- -All the metrics infrastructure in Kamon lives around two concepts: collection and flushing. Metrics collection happens in real time, as soon -as the information is available for being recorded. Let's see a simple example: as soon as a actor finishes processing a -message, Kamon knows the elapsed time for processing that specific message and it is recorded right away. If you have millions -of messages passing through your system, then millions of measurements will be taken. +All the metrics infrastructure in Kamon was designed around two concepts: collection and flushing. Metrics collection +happens in real time, as soon as the information is available for being recorded. Let's see a simple example: as soon as +a actor finishes processing a message, Kamon knows the elapsed time for processing that specific message and it is +recorded right away. If you have millions of messages passing through your system, then millions of measurements will be +taken. Flushing happens recurrently after a fixed amount of time has passed, a tick. Upon each tick, Kamon will collect all measurements recorded since the last tick, flush the collected data and reset all the instruments to zero. Let's explore a little bit more on how this two concepts are modeled inside Kamon. -SIMPLE CLASS DIAGRAM WITH COLLECTION AND FLUSHING SIDES +<img class="img-responsive" src="/assets/img/diagrams/metric-collection-concepts.png"> + +A metric group contains various individual metrics that are related to the same entity, for example, if the entity we +are talking about is an actor, the metrics related to processing time, mailbox size and time in mailbox for that +specific actor are grouped inside a single metric group, and each actor gets its own metric group. As you might disguise +from the diagram above, on the left we have the mutable side of the process that is constantly recoding measurements as +the events flow through your application and on the right we have the immutable side, containing snapshots representing +all the measurements taken during a specific period on time for a metric group. + + +Filtering Entities +------------------ + +By default Kamon will not include any entity for metrics collection and you will need to explicitly include all the +entities you are interested in, be it a actor, a trace, a dispatcher or any other entity monitored by Kamon. The +`kamon.metrics.filters` key on your application's configuration controls which entities must be included/excluded from +the metrics collection infrastructure. Includes and excludes are provided as lists of strings containing the +corresponding GLOB patterns for each group, and the logic behind is simple: include everything that matches at least one +`includes` pattern and does not match any of the `excludes` patterns. The following configuration file sample includes +the `user/job-manager` actor and all the worker actors, but leaves out all system actors and the `user/worker-helper` +actor. + +``` +kamon { + metrics { + filters = [ + { + actor { + includes = [ "user/job-manager", "user/worker-*" ] + excludes = [ "system/*", "user/worker-helper" ] + } + }, + { + trace { + includes = [ "*" ] + excludes = [] + } + } + ] + } +} +``` + +Instruments +----------- + +Talk about how HDR Histogram works and how we use it. + + +Subscription protocol +--------------------- +Explain how to subscribe for metrics data and provide a simple example. |