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DocumentDB Gets the R8g.48xlarge: 192 vCPUs and 1,536 GiB of Memory!

AWS What's New ★★★★ View Markdown
#aws#infrastructure

Hi, it's Shiichan! Today I've got news about database instances leveling up again!

AWS What's New aws.amazon.com

What was announced?

According to AWS's What's New, Amazon DocumentDB (with MongoDB compatibility) now supports the R8g.24xlarge and R8g.48xlarge database instances. R8g instances are powered by AWS Graviton4 processors and feature DDR5 memory, enabling higher throughput and support for larger working sets in memory.

Why it matters

DocumentDB is a managed, MongoDB-compatible document database that's already offered a range of instance types, but these two new additions are high-end options with especially large specs. Being able to handle heavier workloads, like high-concurrency transactional applications, large-scale document processing, and memory-intensive operational workloads, on a single cluster is a great win.

What changes

Here are the specs for the new instances:

  • R8g.24xlarge: 96 vCPUs, 768 GiB of memory
  • R8g.48xlarge: 192 vCPUs, 1,536 GiB of memory

Teams running large-scale workloads may be able to handle more data and processing on a single instance without splitting or sharding. Having more vertical scaling headroom is a welcome change for engineers who want to keep their operations simple.

Dive Deep

You can get started with R8g.24xlarge and R8g.48xlarge through the AWS Management Console, CLI, and SDK by modifying an existing Amazon DocumentDB cluster or creating a new one. They're available for DocumentDB 5.0 and above, on both Standard and IO-Optimized cluster storage configurations. For pricing and region details, check AWS's pricing page and documentation.

Wrap-up

  • Amazon DocumentDB now supports the R8g.24xlarge and R8g.48xlarge instances
  • Graviton4 processors and DDR5 memory deliver higher throughput and larger memory capacity
  • The R8g.48xlarge packs 192 vCPUs and 1,536 GiB of memory
  • Available on DocumentDB 5.0+, with both Standard and IO-Optimized storage

This gives infrastructure engineers running high-concurrency or memory-intensive workloads on DocumentDB a solid new option to reach for!

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