Great read & write hard drive performance will therefore have a great impact on the overall SonarQube server performance. Can I Run it? Enterprise Hardware Recommendations The performance may improve by increasing vCPUs and RAM in certain situations. To assess the sizes of a workspace’s activity data and extracted text, contact support@relativity.com and request the AuditRecord and ExtractedText Size Gatherer script. Before indexing a new log type in ES, I pass the logs through Logstash and review the fields to decide which field should be indexed. This may or may not be able to hold the full data set once you get closer to the full retention period, but as you gain experience with the platform you will be able to optimize your mappings to make the best use of your disk space. Don't allocate more than 32Gb. What is the use case? The primary technology that differentiates the hardware requirements for environments in HCL Commerce is the search solution. Some numbers: The concern with scale up is that if one big server is down during peak hour, you may run into performance issue. When using both ElasticSearch and SQL, they do not affect each other if one of them encounters a problem. Logs can be sent to ElasticSearch and/or to a local SQL database, thus enabling you to have non-repudiation logs. The reason is that Lucene (used by ES) is designed to leverage the underlying OS for caching in-memory data structures. TeamConnect offers Global Search as part of an integration with Elasticsearch, enabling robust, global searching of TeamConnect instances. If you start the elasticsearch via bin/elasticsearch, this should be the only place you can edit the memory. Shield provides a username and password for REST interaction and JWKS authentication to Relativity. Smaller disk can be used for the initial setup with plans to expand on demand. Low latency helps ensure that nodes can communicate easily, while high bandwidth helps shard movement and recovery. For our logs, the average size of a doc is 500KB to 1MB, but most of the time, the size in ES is smaller than the raw size. * by defualt this new software runs on the same server as Bitbucket Sever but there is no information about how much Memory, CPU, Disk, and Network resources are required to use ElasticSearch and Bitbucket on the same server. For logs older than 30 days, you can use curator to move the indexes to warm nodes. Try out the Elasticsearch … ElasticSearch - the search engine. One of my clusters has the following specs. 3 master nodes. In general, it is observed that the Solr-based search solution requires fewer resources than the newer Elasticsearch-based solution. If there is a possibility of intermediate access to request, configure appropriate security settings based on your corporate security and compliance requirements. TLS communication requires a wild card for the nodes that contains a valid chain and SAN names. Elasticsearch is optional and is used to store messages logged by the Robots. Do you have a recommendation for when to have dedicated master nodes? Note that these are only the minimum requirements. Modern data-center networking (1 GbE, 10 GbE) is sufficient for the vast majority of clusters. The Elasticsearch cluster uses the certificate from a Relativity web server or a load balanced site for authentication to Relativity. You should have dedicated master nodes and perhaps client nodes starting at 4 to 8 GB of RAM. Instance configurationsedit. On the latter point, that may not be affordable in all use cases. 2.Data Retention period -3 years of data approx 25 TB If data is not being migrated over and volumes are expected to grow over time up to the 3-year retention point, I would start with 3 nodes that are master eligible and hold data. 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