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There, he got the opportunity to learn various big-data-based technologies, such as Hadoop, and high-performance data ingress systems and storage. Later, he moved to a start-up in his hometown, where he chose Elasticsearch as the primary search and analytic engine for the project assigned to him. Later in , he founded Factweavers Technologies along with Jalaluddeen; it is consultancy that aims at providing Elasticsearch-based solutions. He is also an Elasticsearch-certified corporate trainer who conducts trainings in India.

Till date, he has worked on numerous projects that are mostly based on Elasticsearch and has trained numerous multinationals on Elasticsearch. See All Customer Reviews. Shop Books. Add to Wishlist. USD Sign in to Purchase Instantly. Overview Elasticsearch is a distributed search server similar to Apache Solr with a focus on large datasets, schemaless setup, and high availability. Product Details About the Author.


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About the Author Vineeth Mohan is an architect and developer. Show More. Average Review. Write a Review.

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    Elasticsearch Blueprints by Vineeth Mohan (2015, Paperback)

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    You can go to cart and save for later there. Elasticsearch Blueprints. For this example, we are simply using the systemctl status of the appropriate service. The mechanism for doing this is the same, and involves using Transformers, Aggregators and Joiners, as follows:. In this example, we take the host. After this has been done, we now need to collect all the URLs into a list in the Cluster entity, as follows:.

    These are then stored in a sensor called urls.

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    This list is then joined together into one long string:. The resulting sensor will be called urls. Kibana also needs to be configured such that it can access the Elasticsearch cluster. However, Kibana can only be configured to point at one Elasticsearch instance. To enable this, we use another enricher in the cluster to select the first URL from the list, as follows:.

    Similar to the above Aggregator, this Aggregator collects all the URLs from the members of the cluster. However, this Aggregator specifies a transformation. In the ELK blueprint, there is a good example of a latch. Latches are used to force an entity to wait until certain conditions are met before continuing.

    For example:. This latch is used to stop Kibana customizing until the Elasticsearch cluster is up. We do this to ensure that the URL sensors have been setup, so that they can be passed into Kibana during the customization phase. Latches can also be used to control how many entities can execute the same step at any given moment.

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    For example to let a single entity execute the launch step of the start effector:. This means that users should be careful to avoid deadlocks. For example having a start and launch latches against the single-executor from above.