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All news in category “Vendor and Hyperscaler Watch”

5910 articles · page 14 of 296

GKE Adds Native Prometheus Metrics for Autoscaling

🔔 Google Cloud announced built-in Prometheus metrics processing for GKE, enabling HPA to use PromQL queries directly via Google Managed Service for Prometheus. This removes the need for third-party adapters, reduces latency, and simplifies autoscaling configuration. The controller runs in the control plane and only deploys pods on nodes when PromQL metrics are actively requested, minimizing resource use. The feature is in preview with plans to add self-hosted Prometheus support before GA.
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GKE Adds Native Scale-to-Zero Capabilities

🚀 GKE 1.37 introduces native scale-to-zero so workloads can fully scale down to zero replicas and stop consuming compute while idle. The feature uses HPA with the new AutoscalingMetric CRD and KEP-2021 support for minReplicas: 0 to wake workloads based on external signals such as Pub/Sub or Cloud Monitoring. Capacity buffers provide pooled warm capacity to eliminate cold-start latency and balance cost with instant responsiveness.
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Amazon Connect adds routing step data to data lake

📊 Amazon Connect Customer now delivers routing step data into its analytics data lake, enabling easier insight generation from routing decisions. Using the data lake, customers can use Amazon Athena and Amazon Quick to analyze trends like contacts queued and contacts joined at each routing step without building complex pipelines. Analysts can report on contact progression, pinpoint where agent matching criteria were relaxed, and measure routing impacts on wait times and agent utilization.
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Amazon EMR on EKS adds IPv6 support

🚀 Amazon announces that Amazon EMR on EKS now supports running Spark and Flink workloads on IPv6 Amazon EKS clusters. This enables teams to use the larger IPv6 address space to scale high-executor analytics jobs without IPv4 workarounds. Support starts with EMR releases emr-7.14.0 and emr-spark-8.0.0 and is available in regions where IPv6 EKS clusters are offered.
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AWS Endorses ASD Campaign to Require MFA

🔐 AWS supports the Australian Signals Directorate’s (ASD) Multi-factor authentication: Switch it on campaign and urges all customers to enable MFA. The post highlights that passwords alone are insufficient against phishing and credential-stuffing attacks and notes MFA blocks over 99% of password-based compromises. AWS describes its phased enforcement of MFA for root users across all account types and promotes phishing-resistant options like FIDO2 passkeys and security keys.
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XRanges for AI: A practical agent evaluation platform

🛡️ XRanges for AI provides a reproducible workspace for evaluating autonomous security agents by deploying realistic, multi-service target applications with built-in instrumentation. The platform records agent activity via OpenTelemetry, scores runs on four independent signals—coverage, boundaries, exploited, and integrity—and surfaces blind spots and violations in real time. It supports high-concurrency deployments, API-driven automation, and retesting without redeploying, enabling meaningful comparisons across models, prompts, and repetitions.
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Secure intelligent experiences across every endpoint

🔒 Google outlines its Intelligent Endpoints strategy to boost productivity while protecting corporate data across browsers, operating systems, and hardware. The company highlights agentic AI in Chrome and an enterprise Skills library to automate multi-step tasks and deliver vetted workflows. Chrome Enterprise Premium extends browser-based security and DLP to legacy apps and mobile devices, while new GenAI reporting improves visibility and corrective controls for IT teams.
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AWS releases Marketplace AI metering agent skill

🤖 AWS announced general availability of the AWS Marketplace metering agent skill, an AI-guided assistant that helps sellers build, deploy, and validate usage-based SaaS metering integrations from within their AI coding assistant. The skill collects product details, recommends APIs, generates integration code and a tailored CloudFormation stack, and runs end-to-end tests against AWS Marketplace. It supports validation, guardrails, a serverless metering pipeline, Concurrent Agreements, and debugging tools, and is available via the AWS MCP Server to MCP-compatible AI coding assistants with no plugin installation required.
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DynamoDB MRSC Now in Five More Regions

🔔 Amazon DynamoDB global tables with multi-Region strong consistency (MRSC) are now available in five additional AWS Regions: Canada (Central), Europe (Stockholm), Europe (Spain), Asia Pacific (Mumbai), and Asia Pacific (Singapore). This expands MRSC support to 15 Regions and allows creation of three-Region configurations with either three replicas or two replicas plus a witness Region. MRSC provides zero RPO and supports strongly consistent reads across geographies, helping build highly available, globally consistent applications.
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Amazon CloudWatch Omni: AI-powered observability

🧭 Amazon announces general availability of CloudWatch Omni, an AI-driven observability platform organized around teams and applications. Omni integrates OpenTelemetry interoperability with CloudWatch scale, offering a standalone web console with SSO and local IDE extensions for hands-on agent work. It auto-discovers services, maps dependencies, and surfaces golden metrics across AWS accounts, Regions, and other clouds to streamline troubleshooting.
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AWS automates billing group creation for transfers

🛠️ Auto-Billing Transfer Billing Group Creation lets AWS Distributors automatically create billing groups when an end customer accepts a billing transfer from a downstream seller Partner. This one-time preference per inbound transfer relationship removes manual configuration in two-level billing transfer setups and can assign an AWS Billing Conductor pricing plan to created billing groups. The preference is available via new API operations and the AWS Management Console billing transfer details page.
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Sovereign AI and Quantum-Ready Defense with FortiNDR

🛡️ Fortinet expands its NDR portfolio with FortiNDR Cloud and on‑prem FortiNDR, adding dynamic deception, a post‑quantum cryptography (PQC) dashboard, and an on‑premises AI investigation capability. The PQC dashboard surfaces quantum‑vulnerable encryption from network traffic without new agents, while dynamic deception integrates with FortiDeceptor and Fortinet Automation Service to misdirect attackers. FortiAI Sovereign provides AI‑driven investigation fully within air‑gapped environments, eliminating cloud dependence.
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Anthropic Claude Opus 5.5 Now on AWS GovCloud

🚀 AWS GovCloud (US) now provides access to Anthropic's Claude Opus 5.5, the most capable Opus model to date, optimized for long-running coding and knowledge work. Claude Opus 5.5 completes tasks using fewer tokens than its predecessor, lowering costs with cheaper cache reads and improved efficiency. Available via Amazon Bedrock, the model is offered with zero data retention by default and benefits from AWS-managed features like Guardrails, Knowledge Bases, and regional data residency.
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Cloudflare Adds Granular Vary Support in Cache Rules

🛠️ Cloudflare has added Vary header support to Cache Rules across all plans, letting origins declare potentially variable request fields while operators control how Cloudflare treats each header. You can choose normalize, passthrough, or bypass per header, with a recommended default of normalize. This reduces cache fragmentation from incidental differences while preserving correct responses for negotiated content.
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Cloudflare Worker Previews: Branch-Isolated Environments

🚀 Worker Previews provide a production-like environment per Git branch, each with its own code, configuration, URL, observability, and isolated state. Run npx wrangler preview to create a Preview that uses separate variables, secrets, and Durable Object namespaces so changes can be tested safely without impacting production. The dashboard surfaces Previews alongside Production, with full Workers Observability and optional custom domains or Access protection.
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Unit 42 Launches Continuous Frontier AI Defense

🔒 Unit 42 introduces Continuous Frontier AI Defense, an always-on service that combines offensive security expertise with Anthropic Mythos and OpenAI GPT cyber models to discover, validate, and remediate vulnerabilities across applications, identities, cloud, and network assets. The service uses proprietary multi-model harnesses and Zero Data Retention architectures to protect customer data while accelerating remediation and reducing exposure. It builds on prior Frontier AI offerings and is available worldwide via annual subscription.
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Security Hub AI Inventory Adds Azure Self‑Hosted Support

🔐 AWS Security Hub AI Inventory now discovers and catalogs AI assets on self‑hosted Microsoft Azure instances, extending visibility beyond AWS. It uses enhanced Amazon Inspector SBOM analysis to identify inference endpoints, models, and AI agents on Azure VMs, including frameworks like Ollama, vLLM, and Hugging Face TGI. Discovered assets are mapped to underlying infrastructure and correlated with security findings for filtering and querying across AWS and Azure. This capability is included with Security Hub Essentials at no extra cost and is available in all commercial Regions where Security Hub is offered.
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AWS Glue Data Quality adds AI rule recommendations

🔍 AWS Glue Data Quality now generates context-aware data quality rules in seconds using an Advanced mode that applies generative AI to infer business intent. The feature produces a ready-to-use ruleset with coverage across every column in your AWS Glue Data Catalog tables, enabling faster transition from raw to trusted data. Users can review, adjust, and save the suggested rules to begin monitoring immediately, and Advanced mode is available in multiple global AWS Regions.
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Route 53 Resolver Now on Gen2 AWS Outposts

🖧 Amazon Route 53 Resolver is now generally available on second-generation AWS Outposts, offering local managed recursive DNS resolution directly on your Outpost. DNS queries are resolved locally to reduce latency and avoid traversing the Service Link to the parent AWS Region. Resolver maintains cached records during Service Link disconnections to ensure continuity, and runs on AWS-managed infrastructure without customer compute requirements.
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Amazon EMR 7.14 release expands platform capabilities

🚀 Amazon EMR 7.14 adds platform-wide enhancements across Amazon EMR on EC2, Amazon EMR on EKS, and Amazon EMR Serverless, and upgrades key components including Apache Spark to 3.5.8 and Apache Iceberg to 1.10.1. Iceberg materialized views refresh faster by using change data capture to limit file reads. EMR on EKS supports Spark Connect endpoints with token-based authentication and IPv6 clusters, while EMR Serverless increases Spark job storage from 200 GiB to 1 TiB. The release is available in all Regions where Amazon EMR is offered.
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