Messaging, interoperability and log aggregation - a new frameworkTomas Doran
In this talk, I will talk about why log files are horrible, logging log lines, and more structured performance metrics from large scale production applications as well as building reliable, scaleable and flexible large scale software systems in multiple languages.
Why (almost) all log formats are horrible will be explained, and why JSON is a good solution for logging will be discussed, along with a number of message queuing, middleware and network transport technologies, including STOMP, AMQP and ZeroMQ.
The Message::Passing framework will be introduced, along with the logstash.net project which the perl code is interoperable with. These are pluggable frameworks in ruby/java/jruby and perl with pre-written sets of inputs, filters and outputs for many many different systems, message formats and transports.
They were initially designed to be aggregators and filters of data for logging. However they are flexible enough to be used as part of your messaging middleware, or even as a replacement for centralised message queuing systems.
You can have your cake and eat it too - an architecture which is flexible, extensible, scaleable and distributed. Build discrete, loosely coupled components which just pass messages to each other easily.
Integrate and interoperate with your existing code and code bases easily, consume from or publish to any existing message queue, logging or performance metrics system you have installed.
Simple examples using common input and output classes will be demonstrated using the framework, as will easily adding your own custom filters. A number of common messaging middleware patterns will be shown to be trivial to implement.
Some higher level use-cases will also be explored, demonstrating log indexing in ElasticSearch and how to build a responsive platform API using webhooks.
Interoperability is also an important goal for messaging middleware. The logstash.net project will be highlighted and we'll discuss crossing the single language barrier, allowing us to have full integration between java, ruby and perl components, and to easily write bindings into libraries we want to reuse in any of those languages.
Messaging, interoperability and log aggregation - a new frameworkTomas Doran
In this talk, I will talk about why log files are horrible, logging log lines, and more structured performance metrics from large scale production applications as well as building reliable, scaleable and flexible large scale software systems in multiple languages.
Why (almost) all log formats are horrible will be explained, and why JSON is a good solution for logging will be discussed, along with a number of message queuing, middleware and network transport technologies, including STOMP, AMQP and ZeroMQ.
The Message::Passing framework will be introduced, along with the logstash.net project which the perl code is interoperable with. These are pluggable frameworks in ruby/java/jruby and perl with pre-written sets of inputs, filters and outputs for many many different systems, message formats and transports.
They were initially designed to be aggregators and filters of data for logging. However they are flexible enough to be used as part of your messaging middleware, or even as a replacement for centralised message queuing systems.
You can have your cake and eat it too - an architecture which is flexible, extensible, scaleable and distributed. Build discrete, loosely coupled components which just pass messages to each other easily.
Integrate and interoperate with your existing code and code bases easily, consume from or publish to any existing message queue, logging or performance metrics system you have installed.
Simple examples using common input and output classes will be demonstrated using the framework, as will easily adding your own custom filters. A number of common messaging middleware patterns will be shown to be trivial to implement.
Some higher level use-cases will also be explored, demonstrating log indexing in ElasticSearch and how to build a responsive platform API using webhooks.
Interoperability is also an important goal for messaging middleware. The logstash.net project will be highlighted and we'll discuss crossing the single language barrier, allowing us to have full integration between java, ruby and perl components, and to easily write bindings into libraries we want to reuse in any of those languages.
Aportes que TRANSPARENCIA envió al Jurado Nacional de Elecciones para la reglamentación de propaganda electoral, publicidad y neutralidad estatal para las Elecciones Generales 2016.
En la presentación se analiza bajo el modelo de Montecarlo aplicado bajo el software palisade una cartera de opciones sobre 5 acciones diferentes (Apple, General electric, Amazon, Microsoft e IBM)
An overview of online writing best practices. Topics include conciseness, active voice, finding your voice, scannable text, calls to action, and design.
Se muestra un estudio a un portafolio de acciones del sector tecnologico, mediante alteryx se hace un analisis para dar conclusion si se recomienda o no invertir en las acciones que forman parte del portafolio
Aportes que TRANSPARENCIA envió al Jurado Nacional de Elecciones para la reglamentación de propaganda electoral, publicidad y neutralidad estatal para las Elecciones Generales 2016.
En la presentación se analiza bajo el modelo de Montecarlo aplicado bajo el software palisade una cartera de opciones sobre 5 acciones diferentes (Apple, General electric, Amazon, Microsoft e IBM)
An overview of online writing best practices. Topics include conciseness, active voice, finding your voice, scannable text, calls to action, and design.
Se muestra un estudio a un portafolio de acciones del sector tecnologico, mediante alteryx se hace un analisis para dar conclusion si se recomienda o no invertir en las acciones que forman parte del portafolio
17. • 他很聪明。
• 她不太聪明。
• 他很勤奋。
• 她太漂亮了。
• 他们都非常智慧。
• 他们有一点搞笑。
• 我的老师太忙了。
• 我的爸爸不太随和。
• My dad is not very easy
going.
• She is not too smart.
• He is very hard working.
• She is too beautiful.
• He is very smart.
• They are a bit funny.
• They are all extremely wise.
• Our teacher is too busy.