If you want to update the firmware of your Raspberry Pi, these steps might interest you. This post uses Raspbian as OS. Have a look at Updating and Upgrading Raspbian first.
If you want to update the firmware of your Raspberry Pi, these steps might interest you. This post uses Raspbian as OS. Have a look at Updating and Upgrading Raspbian first.
Apache Maven relies on dependencies declared in the pom.xml. You could also just use the dependency:get
goal to download the artifact.
Are you wondering yourself how Elasticsearch finds the text, that you are searching for? Learn more about the _all
meta field.
As I mentioned before, how easy it is to backup your Elasticsearch data with the snapshot and restore API, today’s post demonstrates how to backup the data to Amazon S3 file storage.
The new Kibana 5.1.2 x-pack monitoring plugin is a job well done! With the major version, you can also monitor your Kibana instances - yes Kibana can be run clustered . Having Kibana running in Docker, it allows you deploy it even faster. Back to the monitoring part. It was a real lifesaver and gave me some insights on the Kibana application life-cycle.
As written previously before how to backup the Kibana index, there is more to the snapshot and restore API. A pretty cool feature is the backup capability to Amazon S3 or a Hadoop FS. Furthermore you need to install respective plugins for that. This post demonstrates only a snapshot on a shared filesystem which doesn’t require a plugin. Some commands that were useful during my cluster upgrade.
Just did this weekend the migration of several Elasticsearch Clusters from v2.4.3 to v5.1.1. The catalog API for indices has new features. You can sort the columns.
Google has an Open Source (Apache License 2.0) solution for instant monitoring docker containers, the Container Advisor (cAdvisor). It is a powerful simple solution, for instant monitoring. The drawback, it keeps no history. You may export the data to Elasticsearch, but keep in mind, it is an extra effort and not current post subject. I’m going to introduce you basic problems with docker in this post.
Installing Oracle DB 12c on a virtual machine for testing and developing purposes has it advantages. The installation is quite invasive and when it’s done in a virtualbox, it does no harm to your host system at work, which is btw. Windows and a total mess itself. If you follow the installation instructions and restarted the virtual machine I notice few things that didn’t work by trying to access the database from a SQL client.