I really like this kind of news, new versions of docker and RedHat: Docker 1.0: this is the first stable version after more than one year of development. This version is production ready and I will start using it asap. RedHat 7: this is a good news as the version 6 started to be a little bit old now. What’s new? MariaDB replace MySQL \o/ Docker integrated systemd XFS by default Kernel 3.

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Next Tuesday, ElasticSearch will takes place. Last meetup was very interesting and technical. I hope this one will be as good as the last one. There will be a talk from Dailymotion and an ElasticSearch Core developer. To get more informations it’s here.

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A new french meetup MongoDB related will take place next Tuesday in Paris. This will be a practical session to learn how to integrates and manage a MongoDB through Java. From shell and MongoDB drivers to make a website integration. Thanks for the organization Duchess! To get more informations it’s here.

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Regarding one of my latest post, talking about Fluentd, some of you asked me why I’ve chosen Fluentd instead of Logstash. First of all, I’ve looked at this blog post, which kindly resume the current situation. Looking at this and with feedback I got, I could establish this array: <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #c9daf8; font-weight: bold; text-align: center;" data-sheets-value="[null,2,&quot;Logstash&quot;]"> Logstash </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #c9daf8; font-weight: bold; text-align: center;" data-sheets-value="[null,2,&quot;Fluentd&quot;]"> Fluentd </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; text-align: center;" data-sheets-value="[null,2,&quot;Flexibility/Interoperability&quot;]"> Flexibility/Interoperability </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; text-align: center;" data-sheets-value="[null,2,&quot;Simplicity/Robustness&quot;]"> Simplicity/Robustness </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; text-align: center;" data-sheets-value="[null,2,&quot;JRuby&quot;]"> JRuby </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; text-align: center;" data-sheets-value="[null,2,&quot;Cruby&quot;]"> Cruby </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #d9ead3; text-align: center;" data-sheets-value="[null,2,&quot;More&quot;]"> More </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #f4cccc; text-align: center;" data-sheets-value="[null,2,&quot;Fewer&quot;]"> Fewer </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #f4cccc; text-align: center;" data-sheets-value="[null,2,&quot;Basics&quot;]"> Basics </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #d9ead3; text-align: center;" data-sheets-value="[null,2,&quot;Scalables&quot;]"> Scalables </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #f4cccc; text-align: center;" data-sheets-value="[null,2,&quot;Lot&quot;]"> Lot </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #d9ead3; text-align: center;" data-sheets-value="[null,2,&quot;Lot more&quot;]"> Lot more </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #d9ead3; text-align: center;" data-sheets-value="[null,2,&quot;Simple (drop a jar)&quot;]"> Simple (drop a jar) </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #fff2cc; text-align: center;" data-sheets-value="[null,2,&quot;Can be complex (dependancies)&quot;]"> Can be complex (dependencies) </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #d9ead3; text-align: center;" data-sheets-value="[null,2,&quot;Yes&quot;]"> Yes </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #d9ead3; text-align: center;" data-sheets-value="[null,2,&quot;Yes&quot;]"> Yes </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #f4cccc; text-align: center;" data-sheets-value="[null,2,&quot;Forward to 2 hosts&quot;]"> Forward to 2 hosts </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #d9ead3; text-align: center;" data-sheets-value="[null,2,&quot;LB A/A or A/P&quot;]"> LB A/A or A/P </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #f4cccc; text-align: center;" data-sheets-value="[null,2,&quot;Can loss messages&quot;]"> Can loss messages </td> <td style="padding: 2px 3px 2px 3px; vertical-align: bottom; background-color: #d9ead3; text-align: center;" data-sheets-value="[null,2,&quot;No message loss&quot;]"> No message loss </td> Logstash and Fluentd are both powerful solutions, they both got pros and cons.

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Next Wednesday, a meetup will take place in Paris talking about Elasticsearch. My previous post was talking about a log solution using Elasticsearch. During that meetup, an overview of how Elasticsearch powerful real-time capabilities enrich Hadoop development. The session will showcase how to perform real-time searches on top and within Hadoop, Hive, Pig or Cascading jobs to get better answers, fast. We’ll cover architectural topics such as index scalability, data locality and partitioning between the Hadoop cluster and the search index, using off and on-premise storages (HDFS, S3, local file-systems) and multi-tenancy.

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Managing logs is not a complicated tasks with classical syslog systems (syslog-ng, rsyslog…). However, being able to search in them quickly when you have several gigabit of logs, with scalability, with a nice graphical interface etc…is not the same thing. Hopefully today, tools that permit to do it very well exists, here are the list of tools that’s we’re going to use to achieve it: Elasticsearch: Elasticsearch is a flexible and powerful open source, distributed, real-time search and analytics engine.

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As you may know, I’m using and loving MariaDB. A colleague recently introduced me the benefits of the php built-in MySQL/MariaDB library (shame on me, I never heard of it). Here are the informations you can find from it on the MySQL website: The mysqlnd library is highly optimized for and tightly integrated into PHP. The MySQL Client Library cannot offer the same optimizations because it is a general-purpose client library.

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