Skip to content

Latest commit

 

History

History
59 lines (31 loc) · 1.94 KB

CHANGELOG.md

File metadata and controls

59 lines (31 loc) · 1.94 KB

v1.2.3 (2024-10-24)

  • Documentation: Documentation update: added the default value of the Slurm configuration parameter scaleDownIdleTimeInSeconds to its description.

v1.2.2 (2024-10-08)

  • Dependency Update: Updated to the latest SDK module versions

v1.2.1 (2024-10-07)

  • Dependency Update: Updated to the latest SDK module versions

v1.2.0 (2024-10-04)

  • Feature: Add support for HTTP client metrics.
  • Dependency Update: Updated to the latest SDK module versions

v1.1.5 (2024-10-03)

  • No change notes available for this release.

v1.1.4 (2024-09-27)

  • No change notes available for this release.

v1.1.3 (2024-09-26)

  • Documentation: AWS PCS API documentation - Edited the description of the iamInstanceProfileArn parameter of the CreateComputeNodeGroup and UpdateComputeNodeGroup actions; edited the description of the SlurmCustomSetting data type to list the supported parameters for clusters and compute node groups.

v1.1.2 (2024-09-25)

  • No change notes available for this release.

v1.1.1 (2024-09-23)

  • No change notes available for this release.

v1.1.0 (2024-09-20)

  • Feature: Add tracing and metrics support to service clients.
  • Dependency Update: Updated to the latest SDK module versions

v1.0.3 (2024-09-17)

  • Bug Fix: BREAKFIX: Only generate AccountIDEndpointMode config for services that use it. This is a compiler break, but removes no actual functionality, as no services currently use the account ID in endpoint resolution.

v1.0.2 (2024-09-04)

  • No change notes available for this release.

v1.0.1 (2024-09-03)

  • Dependency Update: Updated to the latest SDK module versions

v1.0.0 (2024-08-28)

  • Release: New AWS service client module
  • Feature: Introducing AWS Parallel Computing Service (AWS PCS), a new service makes it easy to setup and manage high performance computing (HPC) clusters, and build scientific and engineering models at virtually any scale on AWS.