Warnings were logged while processing this repo. Please check the Dependency Dashboard for more information.
Release Notes
aws/aws-sdk-java-v2
### [`v2.18.10`](https://togithub.com/aws/aws-sdk-java-v2/blob/HEAD/CHANGELOG.md#21810-2022-11-03)
[Compare Source](https://togithub.com/aws/aws-sdk-java-v2/compare/2.18.9...2.18.10)
#### **AWS SDK for Java v2**
- ### Bugfixes
- Fixed an issue that could result in signature mismatch exceptions when requests included . or ..
#### **Amazon MemoryDB**
- ### Features
- Adding support for r6gd instances for MemoryDB Redis with data tiering. In a cluster with data tiering enabled, when available memory capacity is exhausted, the least recently used data is automatically tiered to solid state drives for cost-effective capacity scaling with minimal performance impact.
#### **Amazon SageMaker Service**
- ### Features
- Amazon SageMaker now supports running training jobs on ml.trn1 instance types.
Configuration
📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).
🚦 Automerge: Enabled.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about this update again.
[ ] If you want to rebase/retry this PR, check this box
This PR has been generated by Mend Renovate. View repository job log here.
This PR contains the following updates:
2.18.9
->2.18.10
⚠ Dependency Lookup Warnings ⚠
Warnings were logged while processing this repo. Please check the Dependency Dashboard for more information.
Release Notes
aws/aws-sdk-java-v2
### [`v2.18.10`](https://togithub.com/aws/aws-sdk-java-v2/blob/HEAD/CHANGELOG.md#21810-2022-11-03) [Compare Source](https://togithub.com/aws/aws-sdk-java-v2/compare/2.18.9...2.18.10) #### **AWS SDK for Java v2** - ### Bugfixes - Fixed an issue that could result in signature mismatch exceptions when requests included . or .. #### **Amazon MemoryDB** - ### Features - Adding support for r6gd instances for MemoryDB Redis with data tiering. In a cluster with data tiering enabled, when available memory capacity is exhausted, the least recently used data is automatically tiered to solid state drives for cost-effective capacity scaling with minimal performance impact. #### **Amazon SageMaker Service** - ### Features - Amazon SageMaker now supports running training jobs on ml.trn1 instance types.Configuration
📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).
🚦 Automerge: Enabled.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about this update again.
This PR has been generated by Mend Renovate. View repository job log here.