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

Recommended system requirements

Recommended 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 StudioTeamwork Cloud.

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

Nodes containing both Magic Collaboration Studio Teamwork Cloud and Cassandra:

• 96 -128 GB ECC RAM
• >=16 processor threads (such as E5-1660)equivalent or better than the Intel Xeon E-2278G, or their AMD counterparts, supporting x86-64 architecture)

• 1TB NVMe/

  >1TB

  SSD DAS storage

Nodes containing only Cassandra:

• 48 - 64 GB ECC RAM
• >=8 processor threads (such as E5-1620)equivalent or better than the Intel Xeon E-2234, or their AMD counterparts, supporting x86-64 architecture)

• 1TB NVMe/

  >1TB

  SSD DAS storage

Nodes containing only Magic Collaboration StudioTeamwork Cloud:

• 48 - 64 GB ECC RAM
• >=8 processor threads (such as E5-1620equivalent or better than the Intel Xeon E-2234, or their AMD counterparts, supporting x86-64 architecture)
• >250GB storage

Storage

requirements

Make sure your environment meets the following 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:

• Apache Cassandra Hardware Choices
• DataStax Apache Cassandra Capacity Planning Guide

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

• AWS EBS Cassandra Best Practices
• DataStax AWS EC2 Recommendations

Software requirements

Teamwork Cloud

Minimal hardware requirements

For adequate Magic Collaboration Studio operation, your hardware should meet the following requirements:

• 8 Processor Cores - i.e. Quad-Core Hyper-threaded CPU (such as Intel E3-1230 or faster).
• 32 GB RAM (Motherboard with an ECC RAM is recommended) and 8 GB RAM dedicated for Magic Collaboration Studio

• At least 3 separate disks, preferably SSD (NVMe), (OS/Application, Data, and Commit logs). Depending on company backup procedures and infrastructure, an additional disk, equal to the data disk size, may be required to store the backup snapshots.

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.

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 Teamwork Cloud is compatible with OpenJDK 17.0 (tested with Eclipse Temurin™ by ADOPTIUM 17.0.118)
• IMPORTANT. To use modeling tools with DSLS licenses, Microsoft Visual C++ Redistributable must be installed (see 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 StudioTeamwork Cloud.

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