News For Dev-ops

Amazon Simple Email Service (SES) now supports tenant-level deliverability insights in Virtual Deliverability Manager (VDM). Tenant management allows email senders to isolate email sending across customers, business units, or applications. Previously, VDM provided deliverability metrics at the account, ISP, sending identity, and configuration set levels. Now, customers who use tenants and have enabled VDM can also monitor the deliverability of each tenant. The VDM dashboard adds a Tenants view with per-tenant metrics (send volume, deliveries, bounces, complaints, opens, and clicks) and a detail page that breaks those metrics down by mailbox provider and by associated identities and configuration sets. Customers can also search and export a tenant's sent messages, or query tenant metrics programmatically using the BatchGetMetricData API operation's new TENANT_NAME dimension. This helps senders identify the tenant causing a deliverability issue and correct it without impact t...

The Amazon S3 Express One Zone storage class is now available in 7 additional AWS Regions: Asia Pacific (Singapore), South America (Sao Paulo), US West (N. California), Canada (Central), Europe (Paris), Asia Pacific (Sydney), and Asia Pacific (Seoul). Amazon S3 Express One Zone is a high-performance, single-Availability Zone storage class purpose-built to deliver consistent single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications. S3 Express One Zone delivers data access speed up to 10x faster and request costs up to 80% lower than S3 Standard. It enables workloads such as machine learning training, interactive analytics, and key-value caching in AI search engines to achieve fast data access with high durability and availability. With this expansion, S3 Express One Zone is now available in 15 AWS Regions . For pricing details, visit the S3 pricing page . To learn more, visit the product page and documentation . Post Updated on...

We're excited to announce the General Availability of Microsoft Desired State Configuration (DSC) v3.3.0. This release delivers three new built-in Windows resources, a new registry-backed adapter, expanded --what-if support, experimental export filtering, expression function updates, and Linux packages published to PMC. For background on the DSC v3 platform, see: Get Started Enhanced Authoring DSC v3.2.0 Announcement DSC v3.1.0 Announcement DSC v3.0.0 Announcement For information on installing DSC v3.3, see the installation documentation . What's New in DSC v3.3 All these changes are driven by real-world use, partner feedback, and community contributions. Special thanks to the WinGet team and the incredible DSC community. For a complete list of changes, see the release page on GitHub . New built-in Windows resources DSC v3.3 adds three new resources to the Microsoft.Windows namespace. Microsoft.Windows/RegistryList Manages an array of registry ...

Suppose you have some function like bool should_use_widgets() { bool supported = ⟦ complex code to check OS features ⟧; return supported && is_configuration_enabled("widgets"); } Since OS Widget support is not something that changes during the lifetime of the program, you want to calculate it once and cache the result. One way is to use a so-called "magic static": bool should_use_widgets() { static const bool supported = [] { return ⟦ complex code to check OS features ⟧; }(); return supported && is_configuration_enabled("widgets"); } Function-local statics are initialized the first time execution reaches the variable. On subsequent executions, nothing happens. Another way is to use std::call_once . bool is_supported_cached; std::once_flag is_supported_once; bool are_widgets_supported() { std::call_once(is_supported_once, [] { is_supported_cached = ⟦ complex code to check OS features ⟧; });...

Amazon Corretto 27, a Feature Release (FR) version, is now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK . You can download Corretto 27 for Linux, Windows, and macOS from our downloads page . Corretto 27 will be supported through April 2027. Noticeable features:  G1 as the Default Garbage Collector in All Environments - Makes G1 the default garbage collector across all environments, delivering more consistent performance and predictable pause times regardless of where your application runs (JEP 523) Post-Quantum Hybrid Key Exchange for TLS 1.3 - Adds protection against future quantum computing threats by combining classical and post-quantum key exchange algorithms in TLS 1.3 connections (JEP 527) Compact Object Headers by Default - Reduces the memory footprint of Java objects by enabling smaller object headers by default, improving memory efficiency and cache utilization (JEP 534) JFR In-Process Data...

Amazon SageMaker AI now supports serverless model customization for the NVIDIA Nemotron 3.5 Lightning model using supervised fine-tuning (SFT), Direct Preference Optimization (DPO), and reinforcement fine-tuning (RFT). This is one of the latest open-weight models from NVIDIA and employs a hybrid Mixture-of-Experts architecture with 3B active parameters and 30B parameters in total. In addition to deploying this model on SageMaker AI, you can now adapt it to your specific domains and workflows. Model customization enables you to tailor foundation models with your proprietary data so a smaller, right-sized model can match frontier-model quality on your tasks, reducing cost and latency. You can use labeled data with SFT to improve accuracy on domain-specific tasks, preference data with DPO to align outputs with your organization's tone, or reward signals with RFT to enhance performance on new tasks. With serverless customization, SageMaker AI handles all infrastructure provisioning a...