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Before installing Magic Collaboration Studio, ensure that the system requirements described in this chapter are met.

Recommended system and storage requirements

Note on system requirements

System requirements are dictated by the intended deployment, taking into account the overall load which the environment will experience, including:

  • Number of concurrent users
  • Level of activity (commits) per day
  • Overall number and size of the projects stored in Magic Collaboration Studio.

The database (Cassandra) can be located on the same server as Magic Collaboration Studio or on a separate server. Storage requirements apply only to the node where the database is located. The product hosting nodes can be virtualized without any issues if the host is not oversubscribed on its resources.

Multi-Node Clusters

Recommended minimum sizing stated above applies to each node in a multi-node cluster.


Note on storage requirements

For on-premises deployment, Apache Cassandra is designed to run on multiple independent servers. Each Cassandra node should have Directly Attached Storage (DAS) composed of NVMe drives for optimum performance. Traditional network-attached storage solutions that rely on IP-based connections (iSCSI, NFS, or SAN) are not recommended for on-premises deployments, as they introduce additional latencies and anti-patterns. To learn more, see the following topics:

For cloud deployment, use storage technologies that have been benchmarked for Cassandra. Modern solid-state/flash arrays with fast interconnects are preferred. Note that Magic Collaboration Studio is not compatible with managed Cassandra services, such as Amazon Keyspaces. To learn more, see the following topics:


Resource requirements by deployment type
Deployment typeRecommended system requirementsRecommended storage requirements
Magic Collaboration Studio AND Cassandra
  • 96 -128 GB ECC RAM
  • >=16 processor threads (equivalent or better than the Intel Xeon E-2278G, or their AMD counterparts, supporting x86-64 architecture)

  • 1TB NVMe/SSD DAS storage

  • 3 Solid State Drives with high IOPS 
    NVMe or SSD drives are highly suitable due to their low latency and high throughput. 
  • 3 separate disk mounts
    Data, commit logs, and applications have different access patterns and should reside on separate disks to avoid I/O contention. For a detailed example, please see Preparing the operating system
Only Cassandra
  • 48 - 64 GB ECC RAM
  • >=8 processor threads (equivalent or better than the Intel Xeon E-2234, or their AMD counterparts, supporting x86-64 architecture)

  • 1TB NVMe/SSD DAS storage

Only Magic Collaboration Studio
  • 48 - 64 GB ECC RAM
  • >=8 processor threads (equivalent or better than the Intel Xeon E-2234, or their AMD counterparts, supporting x86-64 architecture)
  • >250GB storage

Software requirements

Magic Collaboration Studio supports the following operating systems:

  • Linux 64-bit RedHat 8, RedHat 9, Oracle Linux 8.

  • Windows 2016 or Windows 2019.

The Linux operating system is highly recommended for Magic Collaboration Studio deployment. Cassandra 4 does not have native Windows support. For more information, please visit https://www.datastax.com/dev/blog/cassandra-and-windows-past-present-and-future.

For a fully working environment, you will also need the following:

  • Cassandra is compatible with OpenJDK 11.0 (tested with Eclipse Temurin™ by ADOPTIUM 11.0.14)
  • Magic Collaboration Studio is compatible with OpenJDK 17.0 (tested with Eclipse Temurin™ by ADOPTIUM 17.0.8)
  • IMPORTANT. To use modeling tools with DSLS licenses, Microsoft Visual C++ Redistributable must be installed (see Latest supported Visual C++ Redistributable downloads). This applies to Windows OS only.
  • FlexNet or DSLS license server
  • Cassandra 4.0.x, 4.1.x
  • A static IP address for each node.

  • Open ports 1101, 2181, 2552, 7000, 7001, 7199, 9042, and 9142 between servers in a cluster.

  • Open ports 3579, 8111, 8443, and 10002 (default) for clients. The port number 10002 can be changed according to the port assigned to secure connections between the client software and Magic Collaboration Studio.

The following table lists the ports that Magic Collaboration Studio services use and their descriptions. Port traffic is TCP unless otherwise specified.

ServicePortDescription
FlexNet server (lmadmin)1101FLEXnet server port

8090License management web interface HTTP port

27000-27009Internal license server manager port



Cassandra7000Internode cluster communication port (not used if TLS is enabled)

7199JMX monitoring port of the Cassandra node

9042Native client port for processing database operations



Magic Collaboration Studio2468JMX metrics reporting port for monitoring stack

2552Magic Collaboration Studio default remote server port

3579Default Magic Collaboration Studio port when SSL is not enabled

8111REST API HTTPS port

10002 Default port for encrypted TLS client-server communication.



Web Application Platform8443Web Application Platform HTTPS port (Authentication, Collaborator…)



Zookeeper2181Zookeeper internal port


If deploying on Amazon EC2

When deploying on Amazon EC2, we recommend using the m5-2xlarge, r5-2xlarge, or i3-2xlarge instances. Depending on the workload, you may want to go to the -4xlarge instances, but for most users, the -2xlarge will suffice. The m5 instances meet the minimum system requirements and will be acceptable for small deployments. The r5 instances provide more memory for the same CPU density. The i3 instances should be used when workloads have a higher level of user concurrency due to the significantly improved performance of the ephemeral NVMe storage.