Introduction to DP Installation in AWS

You can install the Stellar Cyber data processor in AWS using several different models depending on the ingestion rates, storage capacity, and data retention you want to achieve, as summarized in Minimum System Requirements.

• Standard – Standard deployments use one virtual machine for the Data Lake and another for the Data Analyzer and are supported for up to 250 GB of daily data ingestion (300 GB without multi-tenancy). This model also provides optional cluster support for deployment of additional DL and DA worker nodes as your needs increase.

  

• Cluster – Cluster deployments scale up performance by adding additional DL-Worker and DA-Worker nodes to share the workload. Worker nodes communicate with the cluster using a dedicated cluster network. The table in Minimum System Requirements provides the counts of DA and DL nodes you need to deploy for different ingestion capacities.

  As part of scaling up your cluster, you also want to consider moving to the recommended deployment model with full data replication and warm standby VMs for both the DL-master and the DA-master.

  

• All-In-One (AIO) – AIO deployments use a single VM to host both the DL and the DA. This model only supports daily ingestion up to 50 GB and is not recommended for most use cases because it does not does not provide the efficiency and scalability of installing components on separate VMs. Stellar Cyber recommends either the standard or cluster model.

  

Same Image for all DP VMs

You use the same image to install DP compoments, regardless of the deployment type. Once the image is deployed, you use the CLI and GUI to change the role of each VM to match the deployment type (for example, a DL-Master, a DL-Worker, and so on).