The InsightEdge platform, a combination of the XAP in-memory data grid and an open-source analytics ecosystem, is an in-memory insight platform that supports fast-data analytics, artificial intelligence and real-time applications. Customers can use this platform to develop their own systems that provide instant data-driven insights with time-to-analytics at a sub-second scale. InsightEdge also enables hyperscaling analytics from SQL, and streaming to machine learning via Apache Spark.
The InsightEdge platform provides extreme performance with ultra-low latency, high-throughput transactions and stream processing, due to the co-location of applications and analytics. All of this functionality is available in a cloud-native, infrastructure-agnostic deployment for hybrid cloud and on-premises environments.
GigaSpaces provides Docker images for the following products:
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XAP open source edition, which provides an in-memory data grid with rich performance capabilities and extreme low latency.
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XAP Enterprise edition, which includes feature-rich management, monitoring, and high availability capabilities, security features, language interoperability, and multi-tiered data storage across RAM/SSD/Storage-Class Memory (3DXPoint).
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InsightEdge open source edition, which uses IEP Open Source to supercharge your Spark workloads.
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InsightEdge Enterprise edition, which offers all the above plus high availability (up to 5 nines) with auto-healing, disaster recovery via geo-redundancy, fast data replication and native persistence.
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Start docker on your machine
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Clone docker-redhat project: git clone https://github.com/Gigaspaces/docker-redhat.git
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Navigate to Docker Build: IE:cd docker-redhat/insightedge-enterprise/ XAP: cd docker-redhat/xap-enterprise/
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Edit Dockerfile and replace: ARG RH_user="redhat user” ARG RH_password="redhat password" with: ARG RH_user="GigaSpacesTech” ARG RH_password="ask for the password”
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Build the docker: docker build -t gigaspaces/ .
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Upload the docker to RedHat:
- Go to this page:
IE: https://connect.redhat.com/project/969331/view
XAP:https://connect.redhat.com/project/986421/view - Click on “Upload Your Image”
- Follow the instructions.
- Go to this page:
IE: https://connect.redhat.com/project/969331/view