> For the complete documentation index, see [llms.txt](https://mariadb.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mariadb.com/docs/gridgain/gridgain-8/gridgain8-development/distributed-computing-and-services.md).

# Distributed Computing and Services

Run computations and services across the cluster — the compute APIs, data colocation, services, and code deployment.

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[Distributed Computing](/docs/gridgain/gridgain-8/gridgain8-development/distributed-computing-and-services/distributed-computing.md)
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GridGain distributes computations across cluster nodes in a balanced and fault-tolerant manner, with support for the MapReduce pattern, cluster groups, load balancing, and job scheduling.
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[Colocating Computations with Data](/docs/gridgain/gridgain-8/gridgain8-development/distributed-computing-and-services/colocating-computations.md)
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How to colocate computations with data in GridGain using affinityCall and affinityRun, by key or partition, plus entry processors.
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[Services](/docs/gridgain/gridgain-8/gridgain8-development/distributed-computing-and-services/services.md)
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How to implement, deploy, access, and re-deploy GridGain services, including deployment strategies, interceptors, and the IgniteServices framework.
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[Code Deployment](/docs/gridgain/gridgain-8/gridgain8-development/distributed-computing-and-services/code-deployment.md)
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Overview of code deployment in GridGain, covering how user code and classes are made available across cluster nodes.
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