![]() ![]() import .GraphiteServer import .PluginImpl import jenkins.model.* import .InvokerHelper // Construct an object to represent the Graphite server String prefix = "jenkins" String hostname = "" int port = 2003 GraphiteServer server = new GraphiteServer(hostname, port, prefix) List servers = new ArrayList() servers.add(server) GraphiteServer.DescriptorImpl descriptor = Jenkins.getInstance().getDescriptorByType() tServers(servers) Filebeats nightlies hash how to#The Groovy code shown below provides an example of how to configure the Jenkins Metrics Graphite plugin to send data to an external system. In such cases, the Jenkins REST API can be used to submit a Groovy script to each instance: curl -v -d "script=$(cat /tmp/oovy)" -user username:ApiToken When the command is executed you may receive a warning regarding additional permissions and you will then need to accept to continue with the installation.If you manage a large number of Jenkins instances, configuring these settings through the UI can be tedious. Filebeats nightlies hash install#elasticsearch-plugin install repository-gcs elasticsearch-plugin install repository-azure elasticsearch-plugin install repository-s3 To do so, point a command line into the /usr/share/elasticsearch/bin/ directory and run the following as root for the corresponding Cloud provider you will use: For this, there are readily available plugins for various Cloud service providers. You can use storage located on the Cloud as the back-end for your repository. Note: must be replaced by the IP or address to your Elasticsearch instance on this and all the other API call examples in this article. "location": "/mount/elasticsearch_backup",įinally, add the filesystem location where the information will be stored and click on Register: Click on Next to proceed:Īlternatively, you may configure the repository by issuing the following API request: curl -XPUT :9200/_snapshot/elasticsearch_backup -H "Content-Type: application/json" -d' Provide a name for the repository, elasticsearch_backup was used in this example, and select the Shared file system type. You may then configure the repository by navigating to Stack Management > Snapshot and Restore > Repositories click on the Register a repository button: Then add this folder as a repository in Elasticsearch’s configuration file, located at /etc/elasticsearch/elasticsearch.yml: path.repo: ĭon’t forget to restart the Elasticsearch service for the change to take effect: systemctl restart elasticsearch Ensure that it is writeable by the Elasticsearch user: chown elasticsearch: /mount/elasticsearch_backup/ It does not need to be a high-performance SSD.įor example, you can use the path /mount/elasticsearch_backup. You can create snapshots using Elasticsearch’s computer filesystem, typically specifying a mount point that has more storage. Configuration for other repositories will be similar. The following sections will showcase how to use filesystem and Amazon S3 bucket repositories. ![]() ![]() Uses Hadoop’s highly fault-tolerant filesystem, designed for AI workloads. Uses Google Cloud Storage to store the snapshots. It leverages Azure storage as the backend. The information is stored in an S3 bucket. Minimal snapshots that can take up to 50% less space on disk. Only one of them should have write access to it. Used when the same repository is registered in multiple clusters. Uses the filesystem of the machine where Elasticsearch is running to store the snapshot. There are different types of repositories: It is worth mentioning that snapshots are incremental a newer snapshot of an index will only store information that is not part of the previous one, thus reducing overhead.įirst, you need to create a repository, which is where the data will be stored. You can take snapshots of an entire cluster, including all or any of its indices. ![]() SnapshotsĪ snapshot is a backup taken from a running Elasticsearch cluster. Your security data is of course not the exception. The Wazuh Open Source Security Platform integrates with the Elastic Stack to allow you to quickly access and visualize alert information, greatly helping during an audit or forensic analysis process, among other tasks including threat hunting, incident response and security operations analysis.įor increased reliability and storage management, it’s good practice to back up critical information in any system. This will provide the opportunity to leverage a more resource-efficient destination for rarely accessed data. In this post you will find how to configure Elasticsearch to automatically back up your Wazuh indices in local or Cloud-based storage and restore them at any given time, both for standard Elastic and Open Distro. ![]()
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