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Version: 3.2.7

Resoto Worker Configuration

Multi-Core Machines​

Resoto resource collection speed depends heavily on the number of CPU cores available to the worker. When collecting hundreds of accounts, Resoto Worker can easily saturate 64 cores or more.

The amount of RAM required depends on the number of resources in each account. As a rule of thumb, estimate 512 MB of RAM and 0.5 CPU cores per account concurrently collected, with a minimum of 4 cores and 16 GB for a production setup.

The following settings specify how many Worker threads Resoto starts:

resotoworker:
  ...
  # How many cleanup threads to run in parallel
  cleanup_pool_size: 16
  # Collector thread/process pool size
  pool_size: 5
aws:
  ...
  # Account thread/process pool size
  account_pool_size: 32
  # Region thread pool size
  region_pool_size: 20
gcp:
  ...
  # GCP project thread/process pool size
  project_pool_size: 32
...
  • The resotoworker.pool_size setting determines how many collectors (Amazon Web Services, Google Cloud Platform, DigitalOcean, Kubernetes, etc.) are run concurrently.
  • aws.account_pool_size and gcp.project_pool_size are used to determine how many accounts or projects respectively are collected concurrently.
  • Within Amazon Web Services, aws.region_pool_size is used to determine how many regions per account are collected concurrently.
caution

At peak, Resoto creates concurrent network connections for each region in every account. With a single cloud with 32 accounts and 20 regions per account, for example, there will be a maximum of 32 × 20 = 640 connections.

This is not a problem in a data center or with a SOHO router, where hundreds of thousands (or even millions) of new connections per second are supported. However, if you are testing Resoto at home using a consumer-grade router, you should be conservative when configuring thread pool sizes.