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ExternalDevOps
Kubernetes Blog

Kubernetes v1.37: Advancing Workload-Aware Scheduling

AI/ML and complex batch workloads continue to push the boundaries of Kubernetes scheduling. Following the foundational workload-centric enhancements introduced in previous releases, Kubernetes v1.37 delivers the next major milestone in the Workload-Aware Scheduling (WAS) journey. In this release, the core Workload and PodGroup APIs—enabling gang scheduling—along with Workload-Aware Preemption (WAP) and shared DRA ResourceClaims for PodGroups, all graduate to Beta, solidifying their role in the K

Kubernetes BlogRead original
ExternalAI
AWS Machine Learning Blog

Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes

Amazon SageMaker Feature Store now supports feature-level writes. With the new UpdateRecord API, you can update one or more feature values in a single call without reading or rewriting the entire record. It is available for both the Standard (Amazon DynamoDB) and In-Memory (Amazon ElastiCache) online store tiers.

Amazon Machine LearningAmazon SageMaker AIAnnouncements
AWS Machine Learning BlogRead original
ExternalSoftware Engineering
GitHub Changelog

New customer portal help.github.com

The support portal has been redesigned and moved to a new home at help.github.com. It brings support, docs, learning, community, and account resources together in one place with Copilot-powered search… The post New customer portal help.github.com appeared first on The GitHub Blog.

GitHub ChangelogRead original
ExternalSoftware Engineering
DZone

From ETL, ELT, and EtLT to Agent: What Is Changing in Enterprise Data Engineering?

For the past two decades, most enterprise data engineering systems have been built on one default assumption: People understand the system. The system executes the pipeline. Engineers understand the business context, break a requirement into steps, write SQL, Spark jobs, shell scripts, synchronization tasks, and scheduling workflows, and then let the system run them. The scheduler does not need to understand the business. The sync engine does not need to understand the metric. It only needs to e

DZoneRead original

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