74:T23d8,

We’re excited to introduce the Logic Apps Hybrid Deployment Model, a new feature in Azure Logic Apps designed to provide more deployment flexibility for customers with unique integration needs. With this model, you can now build and deploy workflows that run on customer-managed infrastructure—whether on-premises, in a private cloud, or even in a third-party public cloud.

This hybrid deployment approach allows you to customize your integration solutions to meet regulatory, privacy, or network-specific requirements by choosing the best environment for your workflows. Running workflows on local compute gives you access to local data sources, supports high-throughput processing, and keeps data within your preferred infrastructure. When you need connectivity to external resources, like SaaS services, you can leverage the extensive Azure Logic Apps connector library to integrate those systems.

To learn more about setting up infrastructure for Standard Logic Apps workflows or deploying them in hybrid environments, check out the following resources:

Read more in the announcement blog and explore how Azure Logic Apps can help you integrate across environments to meet your unique integration requirements.

75:T1536,

The dynamic sessions in Azure Container Apps is a fast, sandboxed, ephemeral compute, suitable for running AI-generated, untrusted code at scale in hostile multi-tenancy scenarios. Each session has full compute isolation using Hyper-V.

There are two modes:

Code interpreter sessions:. You can run Python code using preinstalled popular Python packages. More languages and runtimes are planned in the future.

To build AI agents or copilots, large language models (LLMs) are paired with a code interpreter. A code interpreter enables an agent or copilot application to extend an LLM’s abilities to perform complex tasks such as solving mathematical and reasoning problems, analyzing data, and generating graphics and charts.

You can build your own copilots by adding code interpreter sessions to popular frameworks like LangChain, LlamaIndex, and Semantic Kernel in just few lines of code.
Custom container sessions: You can use a custom container to create a code interpreter for your specific needs, such as preinstalling dependencies or supporting a different language.

You can also build a custom container to run any application that requires secure sandboxed environments. Some example scenarios include:

A web-based code editing sandbox
A SaaS application that can be extended by end users with custom code snippets
A hosted Jupyter Notebook service

Learn more.76:Tc79,

Private endpoints are now supported in public preview for workload profile environments in Azure Container Apps. This enables customers to connect to their Container Apps environment using a private IP address in their Azure Virtual Network, eliminating exposure to the public internet and securing access to their applications. With private endpoints, customers can also connect directly from Azure Front Door to their workload profile environments over a private link instead of the public internet. Today, customers can enable Private Link to container apps origin for Azure Front Door through CLI with portal support coming soon.

This feature is supported for both Consumption and Dedicated plans in workload profile environments. Private endpoints are supported for both new and existing environments, so that customers can leverage the new capabilities without re-provisioning their environment. This new capability also introduces the public network access setting, enabling customers to configure Azure networking policies.

Private endpoints will be free during public preview, but this is subject to change upon GA. Currently, private endpoints are only supported for public cloud.

Learn more.

77:Tfb1,

Azure Container Apps now support Serverless GPUs in public preview. Serverless GPUs enable you to seamlessly run your AI workloads on-demand with automatic scaling, optimized cold start, per-second billing with scale down to zero when not in use, and reduced operational overhead to support easy real-time custom model inferencing and other machine learning tasks.

Serverless GPUs accelerate the speed of your AI development team by allowing you to focus on your core AI code and Azure Container Apps now supports Serverless GPUs in public preview. Serverless GPUs enable you to seamlessly run your AI workloads with automatic scaling, optimized cold start, per-second billing with scale down to zero when not in use, and reduced operational overhead to support easy, real-time custom model inferencing and other machine learning tasks.

Serverless GPUs less on managing infrastructure when using GPUs. They provide an excellent middle layer option between Azure AI Model Catalog's serverless APIs and hosting models on managed compute. It provides full data governance as your data never leaves the boundaries of your container while still providing a managed, serverless platform from which to build your applications.

At public preview launch, serverless GPUs powered by NVIDIA A100 and NVIDIA T4 GPUs, will be supported in limited regions. For the most up-to-date pricing and region availability for Serverless GPUs in Azure Container Apps, checkout the pricing page.

Learn more.

78:T2dab,

Windows Server 2025 Standard and Datacenter edition server hotpatching - security updates without reboots - is ready for your evaluation in preview. This feature will be a game changer; simpler change control, shorter patch windows, easier orchestration

Hotpatches are OS security updates that don’t require a reboot. It works by patching the in-memory code of running processes without the need to restart the process. This gives you benefits like:

Lower workload impact with fewer reboots. Instead of 12 mandatory reboots a year you’ll now only have quarterly scheduled reboots (with the rare possibility of reboots being required in a nominal Hotpatch month).
Fewer binaries mean updates download and install faster while consuming fewer disk and CPU resources.
Easier patch orchestration and change control.
Integrated with the optional Azure Update Manager.

*Hotpatching for on-premises and multicloud Windows Server VMs is in preview, and will be no additional charge while in preview. It will require an Azure Arc connection and, once GA, will be offered by subscription. Hotpatching in Windows Server Datacenter: Azure Edition continues to be free of charge.

79:T638,

Azure Container Apps now offers planned maintenance in public preview. This feature allows you to control when non-critical updates are applied to your Container Apps environment to minimize downtime and impact to applications. Non-critical updates include minor security patches, bug fixes, and new releases. Critical and urgent updates, however, are applied as needed to ensure security and reliability compliance, even outside of planned maintenance windows.

To configure a weekly maintenance window, you simply need to specify a day of week, a start time in the UTC time zone, and a duration.

Planned maintenance will be free during public preview, but this is subject to change upon GA.

Learn more.

7a:T1132,

Trusted Launch enabled nodes are now generally available on AKS. Trusted launch improves the security of generation 2 virtual machines (VMs) by protecting against advanced and persistent attack techniques. It enables administrators to deploy AKS nodes, which contain the underlying virtual machines, with verified and signed bootloaders, OS kernels, and drivers. By using secure and measured boot, administrators gain insights and confidence of the entire boot chain's integrity.

Trusted launch is composed of several coordinated infrastructure technologies that can be enabled independently. Each technology provides another layer of defense against sophisticated threats.

vTPM - Trusted launch introduces a virtualized version of a hardware Trusted Platform Module (TPM), compliant with the TPM 2.0 specification. It serves as a dedicated secure vault for keys and measurements.
Secure Boot - At the root of trusted launch is Secure Boot for your VM. This mode, which is implemented in platform firmware, protects against the installation of malware-based rootkits and boot kits.

Learn more.

7b:T520,

AKS upgrades currently fail when encountering a Pod drain failure. To improve upgrade efficiency, a new algorithm is being introduced. It allows you to configure upgrades so that if a node is blocked, AKS will use any available surge capacity to continue upgrading other nodes, labeling the blocked node as 'quarantined'. Failure error messages are updated to reflect the post-upgrade status accurately.

Learn more.

7c:T288f,

We’re thrilled to announce the general availability of Templates Support in Azure Logic Apps Standard.

Templates in Azure Logic Apps are pre-built workflow solutions designed to address a variety of integration scenarios, ranging from simple data transfers to complex automations and event-driven processes. These templates provide a robust starting point, enabling users to quickly set up and deploy workflows without having to build from scratch.

With templates, developers can tap into a growing library of pre-built templates to jumpstart their Logic Apps projects. Whether you’re working on straightforward workflows or intricate integrations, these templates are designed to make it easier than ever to build, deploy, and manage your applications.

To explore the new templates, open the Logic Apps Designer and browse the available options. Each template comes with detailed information, including a read-only view of the workflow, prerequisites, and connectors used. This allows you to quickly assess whether a template fits your needs before customizing it further to suit your specific business requirements. For step-by-step guidance, be sure to check out our updated documentation.

Start building faster and more efficiently today with Templates in Azure Logic Apps Standard! Read more here.

7d:T2915,

We’re thrilled to announce the General Availability of the Premium Integration Account in Azure Logic Apps, bringing enhanced capabilities for enterprise-grade B2B integrations. Designed to support mission-critical workloads, the Premium Integration Account offers increased limits, higher throughput, and expanded scalability to meet the demands of complex integration scenarios.

With the Premium Integration Account, you can handle complex EDI, AS2, and XML processes with ease, backed by robust security features like Virtual Network (VNET) integration to safeguard your data. This offering is optimized for peak performance, allowing organizations to streamline their business processes while ensuring compliance.

Benefits of the Premium Integration Account

Elevated Limits and Throughput: Process higher volumes of transactions and data, ideal for mission-critical operations.
Expanded Scalability: Scale to meet the needs of growing business requirements without compromising performance.
Advanced Security Features: Utilize VNET support for secure data transmission, ensuring compliance with strict security standards.

The Premium Integration Account in Azure Logic Apps is here to support your most demanding integration workloads with reliability and security.

For more details, check out announcement blog.

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Azure Stream Analytics is now generally available for customers in 5 new regions:

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Australia Central
Germany West Central
Norway East
South India
UAE North

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As of November 12, 2024, NET 9 is now generally available for download. Azure PaaS services, including Azure App Service, Azure Functions, Azure Container Apps, and more, now fully support .NET 9.

Customers can now leverage the enhanced capabilities of .NET 9, such as significant performance improvements, adaptive garbage collection, and support for ARM64 optimizations, to build and deploy cloud-native and AI-powered applications more efficiently. They can also take advantage of seamless integration with Azure services to scale and manage their .NET 9 applications with improved observability and reduced cloud costs.

Learn more.

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