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Before installing

Teamwork Cloud

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

Recommended system and storage requirements

Note
titleNote 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
Teamwork Cloud
  • Magic Collaboration Studio.

The database (Cassandra) can be located on the same server as

Teamwork Cloud

Magic Collaboration Studio or on a separate server. Storage requirements apply only to the node where the database is located.

Teamwork Cloud hosting nodes

The product hosting nodes can be virtualized without any issues

if the

if the host is not oversubscribed on its resources.

Nodes containing both Teamwork Cloud 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

Nodes containing only Cassandra:

48 - 64 GB ECC RAM

Nodes containing only Teamwork Cloud:

  • 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

  • >=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

    • Info
    titleMulti-Node Clusters

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


    Note

    Storage requirements

    Make sure your environment meets the following
    titleNote on storage requirements
    :
    • Solid State Drives with high IOPS 
      NVMe or SSD drives are highly suitable due to their low latency and high throughput. 
    • Separate disk mounts
      Data, commit logs, and applications exhibit different access patterns and should reside on separate disks to avoid I/O contention. 

    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

    Teamwork Cloud

    Magic Collaboration Studio is not compatible with managed Cassandra services, such as Amazon Keyspaces. To learn more, see the following topics:

    Software requirements


    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 Teamwork Cloud supports the following operating systems:

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

    • Windows 2016 or Windows 2019.
    Note

    The Linux operating system is highly recommended for Teamwork Cloud Magic Collaboration Studio deployment. Cassandra 4 does not have native Windows support. For more information, please visit 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)
    • Teamwork Cloud 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 Teamwork CloudMagic Collaboration Studio.

    The following table lists the ports that Teamwork Cloud 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



    Teamwork CloudMagic Collaboration Studio2468JMX metrics reporting port for monitoring stack

    		2552Teamwork Cloud Magic Collaboration Studio default remote server port

    		3579Default Teamwork Cloud 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


    Info
    titleIf 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.