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Release & Changelog Watcher — September 9, 2026

Findings

  1. [1] 2026-09-08 OpenAI GPT-6 Astra is now generally available on Amazon Bedrock

    Today, AWS announces the general availability of GPT-6 Astra from OpenAI on Amazon Bedrock. The latest and most capable model from OpenAI to date, GPT-6 Astra brings deeper reasoning and judgment, professional-quality writing and design, and advanced computer and browser use to demanding business workflows. It supports a context window of up to 1 million input tokens and can produce…

  2. [2] 2026-09-08 Amazon Timestream for InfluxDB 3 now supports custom plugins

    Amazon Timestream for InfluxDB now lets you run your own custom Python plugins on the managed versions of InfluxDB 3 Core and Enterprise editions. You host your plugin code in public or private repositories you control and the engine fetches and runs it in response to triggers, letting you implement logic specific to your workload without standing up separate external…

  3. [3] 2026-09-08 Amazon SageMaker Feature Store now supports individual feature updates to lower write latency

    Amazon SageMaker Feature Store is a fully managed capability that makes it easy to compute, store, and retrieve features for training and deploying AI models. SageMaker Feature Store now supports feature-level writes, a new capability for updating individual features in a record. Data scientists can now update one or more feature values in a single request, without rewriting the entire…

  4. [4] 2026-09-08 Amazon API Gateway now supports mutual TLS for backend integrations

    You can now configure Amazon API Gateway REST APIs to present an AWS Certificate Manager (ACM) certificate to your backend during the TLS handshake, enabling mutual TLS (mTLS). Previously, API Gateway could present only a self-signed certificate that it generated; now you can use a certificate signed by a certificate authority you trust. Your integration endpoint validates this certificate during…

  5. [5] 2026-09-08 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… Each CompositePodGroup carries policies and constraints that apply to other groups (CompositePodGroups and/or PodGroups), similar to how PodGroups govern scheduling behavior for a flat group of Pods. The scheduler treats such a hierarchy as a single scheduling unit and aims… A root CompositePodGroup that references the workload-root template in example-workload and carries its group-level scheduling policy (gang scheduling with minGroupCount: 2): apiVersion: scheduling.k8s.io/v1alpha3 kind: CompositePodGroup metadata: name: example-root-group annotations: kubernetes.io/description: "Root group coordinating gang scheduling across child worker and driver… Topology-aware schedulingIn Kubernetes v1.37, topology-aware scheduling expands to support complex, multi-level workload hierarchies and delivers performance improvements for existing single-level deployments. Multi-level topology-aware schedulingIn Kubernetes v1.36, we introduced foundational topology-aware scheduling, allowing you to define co-location constraints directly on a… apiVersion: scheduling.k8s.io/v1alpha3 kind: CompositePodGroup metadata: name: tas-workload-root namespace: job-ns annotations: kubernetes.io/description: "Root group constraining the entire workload to a single availability zone." spec: workloadRef: workloadName: multi-level-tas-workload templateName: root schedulingPolicy: gang: minGroupCount: 2 schedulingConstraints: topology: – key: topology.kubernetes.io/zone — apiVersion: scheduling.k8s.io/v1beta1… For example: apiVersion: batch/v1 kind: Job metadata: name: distributed-training-job annotations: kubernetes.io/description: "Distributed Job using explicit WAS scheduling with gang policy and zone topology constraints." spec: parallelism: 8 completions: 8 scheduling: schedulingPolicy: gang: {} # minCount omitted → defaults to parallelism…

Where Kimbodo Comes In

Kimbodo builds and operates this in production for businesses — see our AI Application Development practice, or Estimate My AI Application.

Sources

  1. [1] OpenAI GPT-6 Astra is now generally available on Amazon Bedrock
  2. [2] Amazon Timestream for InfluxDB 3 now supports custom plugins
  3. [3] Amazon SageMaker Feature Store now supports individual feature updates to lower write latency
  4. [4] Amazon API Gateway now supports mutual TLS for backend integrations
  5. [5] Kubernetes v1.37: Advancing Workload-Aware Scheduling

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