Build Smarter, Simpler IoT Messaging with Azure Event Grid MQTT Broker
Why this matters for modern IoT solutions As IoT solutions grow, teams need messaging that is reliable, scalable, and simple enough to operate across devices, apps, and cloud services. Azure Event Grid MQTT broker helps organizations connect devices and applications using standard MQTT patterns while also integrating with Azure services for downstream processing and automation. The result is a managed, cloud-native approach to messaging that supports both technical flexibility and business agility. With support for MQTT v3.1.1 and MQTT v5, Azure Event Grid MQTT broker enables device-to-device, device-to-cloud, and server-to-device communication patterns. It is especially useful in scenarios where customers want to ingest telemetry, send commands, broadcast alerts, and route data into analytics or workflow systems without building and maintaining broker infrastructure themselves. In this post, we focus on four capabilities that make the experience even more powerful and easier to adopt: MQTT Retain support, Shared Subscriptions, HTTP Publish of MQTT messages, and Subscription Identifiers. These features help new subscribers get context immediately, allow multiple consumers to scale out work, let HTTP-native back-end services participate in MQTT workflows, and make message handling more efficient for clients. Four features that make MQTT messaging easier to use These capabilities are designed to solve everyday problems that customers face when building real-world IoT systems. MQTT Retain support helps newly connected clients get the latest known value right away. Shared Subscriptions help distribute message processing across multiple consumers for better scale and resilience. HTTP Publish of MQTT messages enables back-end services to send MQTT messages without keeping long-lived MQTT sessions open. Subscription Identifiers help clients understand which subscription matched a received message, making routing and processing simpler. Together, these features reduce application complexity, improve responsiveness, and make it easier for teams to build user-friendly, production-ready IoT experiences. MQTT Retain support: Give new subscribers the latest known value instantly One of the most helpful MQTT patterns is the ability to retain the latest message on a topic. With MQTT Retain support in Azure Event Grid, the broker stores the last known good value for a topic and delivers it immediately to a new subscriber. That means a client does not have to wait for the next live publish to understand the current state. This is especially valuable for scenarios such as device state, configuration settings, last reported sensor readings, and control values. When a new application, dashboard, or device comes online, it can immediately understand the current state of the system and take action faster. Example Imagine a smart factory dashboard subscribing to the topic factory/line1/status. If the latest retained message says Running, a newly opened dashboard can display that status immediately instead of waiting for the next update. Retained messages ensure new subscribers instantly receive the latest device state without waiting for the next publish Why customers like it Faster onboarding for newly connected devices and apps Better user experience in dashboards and operator tools Less waiting for current state information Simpler application logic for recovering context Common use cases Device online or offline state Latest environmental reading such as temperature or humidity Machine mode, recipe, or configuration profile Current command state for field equipment Shared Subscriptions: Scale message processing without extra complexity As message volume grows, a single subscriber may not be enough to process all incoming data efficiently. Shared Subscriptions solve this by allowing multiple consumers to share the work for a subscription. Instead of every consumer receiving every message, the broker distributes messages across members of the shared group. This is a powerful pattern for scaling out telemetry processing, command handling, or event enrichment pipelines. It also helps improve resilience because work can continue even if one consumer instance goes offline. Example Suppose you have a fleet of connected vehicles publishing telemetry to vehicles/+/telemetry. A back-end processing service might run three worker instances subscribed through a shared subscription. Rather than each worker processing all messages, the workload is divided across the three instances, which improves throughput and reduces duplicate effort. Shared subscriptions distribute telemetry messages across multiple worker nodes for scalable, load-balanced, and resilient stream processing. Why customers like it Easier horizontal scaling for high-volume topics Improved throughput for back-end processing Better fault tolerance for worker-based applications Cleaner architecture for stream processing pipelines Common use cases Telemetry ingestion at scale Alarm processing pipelines Order or command handling across multiple workers Message transformation before routing to analytics platforms Shared Subscriptions help teams grow from pilot projects to production-scale deployments without redesigning their application model. They make it easier to add processing capacity as business needs expand. HTTP Publish of MQTT messages: Bring HTTP-native back-end systems into MQTT workflows Not every application wants to maintain a persistent MQTT connection. Many back-end systems are built around stateless HTTP APIs and prefer simple request-based interactions. Azure Event Grid supports publishing MQTT messages over HTTP, which makes it easier for server-side applications to send messages into MQTT-based solutions. This capability is a strong fit for server-to-device command and control, updates from enterprise systems, and retained message management. It also helps protect broker stability by reducing the need for a large number of long-lived sessions from services that do not truly need them. Example Imagine a support application that needs to send a message to a field device asking it to refresh its configuration. Instead of opening an MQTT session, the application can make an HTTP POST request that maps to an MQTT publish operation and sends the command to the desired topic. Why customers like it Simple integration for HTTP-native applications No need for persistent broker sessions in back-end services Consistent messaging flow across HTTP and MQTT publishers Easier integration with business systems and automation workflows Common use cases Server-to-device commands Application-driven updates and prompts Retained message management Integration with business processes, portals, and line-of-business apps Subscription Identifiers: Make client-side message handling smarter As applications grow, a single client may subscribe to many topic filters at the same time. Subscription Identifiers help the client understand which subscription matched a delivered message. This makes application logic cleaner because the client does not have to guess why a message arrived or manually compare it against every subscribed filter. In practical terms, this is useful when one client is listening for different kinds of data such as telemetry, alerts, and control acknowledgments. Instead of writing extra parsing logic, the client can use the identifier to route the message to the right processing path immediately. Example A monitoring application subscribes to one filter for devices/+/telemetry and another for devices/+/alerts. When a message arrives, the subscription identifier helps the application know whether the message should be shown on a live dashboard, routed to alert handling, or stored for analysis. Why customers like it Simpler client code Cleaner separation of processing paths Easier troubleshooting and observability Better support for sophisticated MQTT v5 client applications Common use cases Applications subscribing to multiple topic categories Edge gateways handling mixed streams Dashboards that separate operational data from alerts Services that apply different business logic based on subscription intent Putting it all together: A simple customer scenario Consider a smart manufacturing plant. Machines, PLCs, and industrial sensors continuously publish telemetry such as production counts, machine health, vibration, and temperature. Operations dashboards subscribe to real-time machine status and line performance. Maintenance systems send commands to equipment when anomalies or thresholds are detected. Meanwhile, analytics workers process high-volume telemetry streams in parallel for quality monitoring, predictive maintenance, and throughput optimization. In this scenario, MQTT Retain support ensures that a newly opened operations dashboard immediately sees the latest machine state without waiting for the next update. Shared Subscriptions enable multiple analytics workers to process telemetry streams in parallel, improving scalability and avoiding duplicate processing. HTTP Publish of MQTT messages allows MES or maintenance applications to send commands to machines through simple HTTP requests, without needing a persistent MQTT connection. Subscription Identifiers help downstream systems distinguish between telemetry, alerts, and control signals, enabling clean routing to the right processing pipelines. The result is a unified, event-driven architecture that is scalable, efficient, and easier to operate—supporting real-time visibility, faster decision-making, and continuous optimization across the manufacturing floor. Azure Event Grid MQTT broker continues to make cloud-scale MQTT messaging more approachable for customers building modern IoT and event-driven solutions. Features such as MQTT Retain support, Shared Subscriptions, HTTP Publish of MQTT messages, and Subscription Identifiers help simplify application design while improving responsiveness, scale, and operational efficiency. For teams looking to build customer-ready solutions faster, these capabilities can reduce custom code, accelerate onboarding, and create a smoother path from proof of concept to production. Whether you are building connected products, industrial monitoring systems, smart spaces, or data-driven operations, Azure Event Grid MQTT broker provides a flexible foundation for reliable communication across devices, services, and applications. Now is a great time to explore how these features can help simplify your architecture and unlock new patterns for device connectivity and cloud integration.Azure Event Grid MQTT Broker: Enterprise-Grade Messaging for the Connected World
Azure Messaging · What's New · March 2026 The Enterprise MQTT Broker for Every Connected Ecosystem Scale to millions of devices, enforce zero-trust security, and route real-time events across every service, system, and application — all on Azure's hyperscaler-grade messaging backbone. 1,000 msg/sec/session 5M+ concurrent connections 1 MB large message support TLS 1.2+ enforced encryption The Modern Broker for Every Connected Ecosystem Whether you're connecting vehicles, factory floors, edge devices, retail infrastructure, financial systems, or cloud-native services — Azure Event Grid MQTT Broker is the enterprise messaging backbone that scales from prototype to planet. With deep Azure integration, full MQTT compliance, and hyperscaler-grade security, it's the broker you ship on when it truly matters. Core Protocol 📡 Full MQTT Protocol Coverage End-to-end MQTT compliance across all versions, transports, and messaging patterns — so any client, any device, any stack just connects. MQTT v3.1.1 Full compliance MQTT v5.0 Rich features + user props TCP Transport Low-latency, always-on WebSocket Browser + web-native HTTP Publish REST-based ingestion 💬 MQTT v5 Enhancements Richer error signaling, user properties, message expiry, and request–response patterns built in. GA 🌐 HTTP Publish (REST Bridge) Non-MQTT services publish via HTTPS. Ideal for REST backends, legacy systems, and webhooks joining real-time workflows. GA 🔀 Shared Subscriptions Load-balance messages across consumer groups. Scale processing horizontally without duplication. Preview Zero-Trust Security 🔒 Enterprise Authentication Stack Multi-layered security for every fleet size — from embedded devices to enterprise IAM platforms. Every connection authenticated, every access authorized. 🏛️ Microsoft Entra ID / OAuth 2.0 JWT Authenticate via any OIDC-compliant identity provider — Entra ID, Auth0, custom IAM platforms. GA 📜 X.509 Certificate Authentication Hardware-rooted identity for devices. Mutual TLS, cert fingerprint validation, and PKI integration. GA 🪝 Custom Webhook Authentication Dynamically validate clients via Azure Functions or external services. SAS keys, API keys, cert fingerprints — full programmatic control. GA 🌐 TLS 1.2+ Enforced Transport-layer encryption enforced by default. No downgrade paths. Compliant with regulated industries. GA Assigned Client Identifiers — Deterministic Identity Pre-assign approved MQTT client IDs for session continuity, enhanced diagnostics, and audit trails. Critical for regulated industries, long-lived device connections, and operational compliance across large fleets. Hyperscaler Performance ⚡ Built for Massive Scale From startup-scale prototypes to workloads with up to 5M+ concurrent device connections — Event Grid MQTT Broker grows with your ambitions. 1,000 messages/sec/session (ingress) View Quotas & Limits → High-frequency industrial and automotive signal processing at full speed, per session. 15 topic segments (GA) View Quotas & Limits → Deep hierarchical topic modeling for structured fleets, factories, and telemetry pipelines. 🔢 1 MB Large Message Support Send high-res images, video frames, and large telemetry batches. No pre-chunking needed. Preview 📈 Auto Scale Up & Down Elastic namespace scaling that responds to demand in real time — pay for what you use, never throttle a workload. Coming Soon in Preview 🌐 IPv6 Support Native dual-stack networking for modern infrastructure, next-gen telecom, and global device deployments. Coming Soon in Preview 🚀 Up to 5M+ Connections Running large-scale workloads? Talk to us — we'll onboard your production workload with dedicated hands-on support. Contact Us → 📦 Bulk Client Onboarding API Register thousands of devices in a single API call — credentials, certificates, and auth rules in batch. CI/CD-native. Preview 📤 High Egress Throughput Up to 500 msg/sec/instance egress for high fan-out scenarios. Perfect for dashboards, monitoring, and analytics consumers. Preview Azure Native Integration 🔀 MQTT Events, Everywhere in Azure Route MQTT streams directly into Azure's full analytics, automation, and real-time intelligence stack — seamlessly connected to every Azure service you already use. 🌊 Fabric Eventstreams 📊 Azure Data Explorer 📨 Event Hubs ⚙️ Azure Functions 🔗 Logic Apps 🌟 First-Class Microsoft Fabric Integration Route MQTT messages and CloudEvents directly from Event Grid Namespaces to Fabric Eventstreams — enabling real-time analytics, storage, and visualization of IoT data without an Event Hub intermediary. Reference architectures for every industrial vertical are available on Microsoft Learn and via the RTI Reference Architectures. State & Presence 💡 Last Will & Testament + Retained Messages Know the last known state of every device, and be instantly notified when something goes offline — essential for mission-critical connected systems. 📣 Last Will & Testament (LWT) Immediately notify downstream subscribers when a device disconnects unexpectedly. Critical for industrial automation, fleet monitoring, and health-critical telemetry. GA 📌 Retained Messages Subscribers receive the latest device value immediately on connect. Configurable expiry, on-demand clearing, Get/List API, and portal experience coming soon. GA Industry 4.0 🏭 Sparkplug B on Azure — Smart Factory, Unlocked The industrial MQTT standard runs natively on Event Grid MQTT Broker — bringing real-time factory floor intelligence to Azure analytics pipelines. Learn more about Sparkplug B support → 🔴 Device Lifecycle (BIRTH/DEATH) Track when machines come online and offline. LWT handles unexpected disconnects with zero configuration. 🔧 SCADA Integration Auto-discover tags in Ignition SCADA with Cirrus Link Chariot. Seamless edge-to-cloud tag sync and live machine vitals. 📊 Azure Data Explorer / Fabric Industrial binary Sparkplug payloads ingested into ADE or Fabric for real-time dashboards and automated alerting. Edge to Cloud: How It Flows 1 Sensors on the factory floor Machines publish temperature, RPM, and status as Sparkplug B messages via edge gateways. 2 Azure Event Grid MQTT Broker ingests QoS 1 delivery, TLS secured, with LWT for device state awareness and retained messages for new subscribers. 3 SCADA auto-discovers tags Ignition SCADA with Chariot Cirrus Link sees all published tags in real time — zero manual configuration. 4 Azure Data Explorer / Fabric analytics Same stream bifurcated — live operational view and cloud-scale analytics for predictive maintenance and automated alerting. Operational Visibility 📊 Deep Metrics for Every Deployment Full operational telemetry across all broker functions — detect issues, optimize throughput, and ensure SLA compliance at any scale. ⏱️ CONNACK / PUBACK Latency Measure end-to-end connection and publish acknowledgment times. Baseline and alert on latency degradation. ✅ Publish / Subscribe Success Rates Track success, failure, and throttling events per topic and per session to quickly isolate problems. 🔌 Active Connections Real-time view of live connections, throughput, and session health across your entire device fleet. Customer Impact 🌍 Built for Every Connected Industry From connected vehicles to financial trading infrastructure to smart retail — Event Grid MQTT Broker powers the most demanding workloads across every sector. 🚗 Connected Automotive → Real-time vehicle telemetry at fleet scale → Over-the-air event routing and signaling → Edge-to-cloud V2X messaging pipelines → TLS/mTLS for per-vehicle identity → High-frequency CAN bus signal ingestion 🏭 Smart Manufacturing → Sparkplug B + SCADA tag auto-discovery → Predictive maintenance event pipelines → Factory floor machine state monitoring → Bulk device onboarding for plant rollouts → QoS 1 delivery for critical control signals 🖥️ DCIM / Data Centre → Real-time rack power and thermal monitoring → High-frequency sensor event ingestion → Automated alerting and threshold triggers → Secure multi-tenant device namespaces → Fabric Eventstreams for real-time dashboards 🏦 Finance & Payments → Low-latency event streaming for trading signals → Real-time payment status notifications → Fraud detection event pipelines → OAuth 2.0 / Entra ID for regulated access → Audit-ready assigned client identifiers 🛒 Retail & Commerce → Real-time inventory and shelf sensor updates → Point-of-sale event routing at scale → Connected checkout and payment device streams → In-store IoT device fleet management → Live promotions and pricing event broadcast 🏢 Smart Buildings → HVAC, lighting, and energy sensor telemetry → Access control and occupancy event streams → Elevator and facility equipment monitoring → Multi-tenant building namespace isolation → Retained messages for last-known device state What's Next 🔭 Coming Soon to Preview These capabilities are entering preview soon — start evaluating for your workloads today. Preview Large Message Packets (1 MB) Send images, video frames, and large telemetry batches without chunking. Streamlines edge-to-cloud ingestion. Preview Shared Subscriptions Load-balance across consumer groups for parallel message processing at scale — no duplication, built-in fault tolerance. Preview Subscription Identifier MQTT v5 compliance — tag subscriptions for routing, multiplexing, and fine-grained handler dispatch. Preview Bulk Client Onboarding API Provision entire device fleets in a single API call. Automate with CI/CD pipelines for factory and field deployments. Coming Soon Auto Scale Up & Down Elastic namespace scaling that automatically expands and contracts broker capacity in response to real-time load. Coming Soon IPv6 Support Dual-stack connectivity for next-gen networks, modern telecom infrastructure, and global IoT deployments. Want early access to any of these previews? We're actively onboarding early customers for all upcoming preview capabilities. Whether you're running a connected fleet, industrial workload, or large-scale IoT deployment — get in touch and we'll get you started. Contact Us for Early Access → Ready to Connect Everything? Azure Event Grid MQTT Broker is generally available. Start building enterprise-grade connected ecosystems today — or talk to us about your production workload. Get Started on Azure Talk to an Expert → Explore Reference Architectures © 2026 Microsoft Azure · Event Grid MQTT Broker Azure MQTT IoT Event Grid
Introducing Administration Client Support for the Azure Service Bus Emulator
We’re excited to announce administration client support for the Azure Service Bus emulator, extending the emulator beyond messaging operations to include management capabilities such as creating, updating, and deleting entities locally. Azure Service Bus is a fully managed enterprise message broker that supports reliable messaging through queues and publish‑subscribe topics. Since the introduction of the local emulator, developers have been able to develop and test message flows locally. With this update, the emulator now supports a broader set of workflows that depend on management operations as part of application startup or deployment. Why Administration Client support? Until now, the Service Bus emulator supported declarative entity configuration through a configuration file, allowing developers to define entities before starting the emulator. While this worked well for static setups, it limited workflows that require dynamic, runtime entity creation or management. Administration Client support unlocks on‑the‑fly entity creation and management, enabling developers to create, update, or delete entities while the emulator is running. This removes the need to restart the emulator for common management operations and brings the local development experience closer to real‑world Azure Service Bus usage. How it works By default, the emulator uses port 5300 for management operations. When performing management tasks with the Service Bus Administration Client, be sure to add the port number to the emulator connection string. Declarative configuration using the emulator’s configuration file remains supported and continues to serve as the source of truth during emulator initialization. Any configuration defined in the file is reapplied when the emulator is initialized and overrides entities created through the Administration Client, making it easy to reset or standardize local environments. For the Service Bus emulator, management operations using the Service Bus Administration Client are natively supported in .NET. Language‑specific reference samples are available to help you get started. Getting started The Azure Service Bus emulator is available as a Docker image and runs on Windows, macOS, and Linux. You can interact with the emulator using the latest Service Bus client SDKs for messaging operations, and use the Service Bus Administration Client to manage entities locally during development and testing. To explore administration scenarios, including creating and deleting queues or topics, refer to the Service Bus emulator reference samples. For more details about the emulator and supported features, visit aka.ms/servicebusemulator Share your feedback We appreciate your feedback as we continue to improve the Service Bus emulator. Please share issues, suggestions, or feature requests through the GitHub repository to help us refine the local development experience. Happy building—and may all your local tests pass! 😊
Upcoming Changes to Azure Relay IP Addresses and DNS Support
Azure Relay is an integral part of modern hybrid cloud architectures, enabling seamless connectivity between on-premises and cloud resources. To ensure continued reliability and security, Microsoft is implementing important updates to the IP addresses and DNS naming conventions used by Azure Relay services. What’s Changing? As detailed in the changes to IP-addresses for Azure Relay and Azure Relay WCF and Hybrid Connections DNS Support reference blogs, customers should be aware of two primary changes: IP and Name Transitions: The IP addresses and corresponding DNS names for Azure Relay endpoints will change during the transition period. For example, g0-prod-bn-vaz0001-sb.servicebus.windows.net can change to gv0-prod-bn-vaz0001-sb.servicebus.windows.net DNS Support Enhancements: Improved DNS support will enhance reliability and future-proof connectivity for both WCF Relay and Hybrid Connections users. Recommended Actions for Customers To minimize disruption, it is crucial for users to update their network configurations and firewall rules to accommodate these new IP addresses and DNS names as soon as possible. These will be made available using the below PS1 script - Update Allow Lists: Ensure that your firewalls and network security groups permit traffic to the new IP ranges and DNS endpoints as specified in the official documentation. Monitor Transition Phases: Be prepared for two rounds of changes. Apply updates promptly during both the initial and final transitions. Automating Namespace Information Retrieval To assist with this transition, Microsoft has updated the PowerShell script for retrieving namespace information, which now reflects the planned changes. You can access the latest script here: GetNamespaceInfo.ps1 (azure-relay-dotnet/tools) (Instructions on how to use the ps1 script is available in the README) This script allows you to efficiently check the current configuration of your Azure Relay namespaces and validate connectivity against the updated endpoints. Sample output PS D:\AzureVMSSEssentials\Tools\GetNamespaceInfoWithIpRanges> .\GetNamespaceInfo.ps1 <your-relay-namespace>.servicebus.windows.net Namespace : <your-relay-namespace>.servicebus.windows.net Deployment : PROD-BN-VAZ0001 ClusterDNS : ns-prod-bn-vaz0001.eastus2.cloudapp.azure.com ClusterRegion : eastus2 ClusterVIP : 40.84.75.3 GatewayDnsFormat : g{0}-bn-vaz0001-sb.servicebus.windows.net or gv{0}-bn-vaz0001-sb.servicebus.windows.net Notes : Entries with 'FUTURE' IPAddress may be added at a later time as needed Current IP Ranges Name IPAddress ---- --------- g0-bn-vaz0001-sb.servicebus.windows.net 20.36.144.8 g1-bn-vaz0001-sb.servicebus.windows.net 20.36.144.1 g2-bn-vaz0001-sb.servicebus.windows.net 20.36.144.2 g3-bn-vaz0001-sb.servicebus.windows.net 20.36.144.11 g4-bn-vaz0001-sb.servicebus.windows.net 20.36.144.3 g5-bn-vaz0001-sb.servicebus.windows.net FUTURE g6-bn-vaz0001-sb.servicebus.windows.net FUTURE ... g98-bn-vaz0001-sb.servicebus.windows.net FUTURE g99-bn-vaz0001-sb.servicebus.windows.net FUTURE Future IP Ranges for Region:eastus2 addressPrefixes --------------- 135.18.130.0/23 135.18.132.0/26 135.18.132.64/27General Availability: Large Message Support in Azure Event Hubs
Azure Event Hubs is a cloud-native service that streams millions of events per second with minimal latency, fully compatible with Apache Kafka and requiring no code changes for existing Kafka workloads. Today, we are excited to announce the general availability of Large Message Support in Azure Event Hubs, enabling you to send and receive messages up to 20 MB in self-serve scalable Dedicated clusters, with enhanced reliability for seamless handling of large messages and greater flexibility for your data streaming solutions. This feature enables fast and reliable processing of larger, indivisible events. Large Message Support works with both AMQP and Apache Kafka protocols, allowing you to send bigger payloads as usual without changing your client code. It is advisable to check your client settings to ensure that timeouts and maximum message size limits are not set too low on the client side. To enable Large Message Support, simply configure your eligible event hubs dedicated clusters using the Azure Portal. For further details and eligibility, please visit aka.ms/largemessagesupportforeh. Your feedback is invaluable to us, and we look forward to hearing about your experiences. Read more: Azure Event Hubs for Apache Kafka - Azure Event Hubs | Microsoft Learn Quickstart: Send and Receive Large Messages with Azure Event Hubs (Preview) - Azure Event Hubs | Microsoft LearnGeo-Replication is Here! Now generally available for Event Hubs Premium & Dedicated
Today, we are thrilled to announce the General Availability of the Geo-replication feature for Azure Event Hubs, now available in both Premium and Dedicated tiers. This milestone marks a significant enhancement in our service, providing our customers with robust business continuity and disaster recovery capabilities – ensuring high availability for their mission-critical applications. The Geo-replication feature allows you to replicate your Event Hubs data across multiple regions either synchronously or asynchronously, ensuring that your data remains accessible in the event of maintenance activities, regional degradation, or a regional outage. With Geo-replication, you can seamlessly promote a secondary region to a primary, minimizing downtime and ensuring business continuity. Before failover (promotion of secondary to primary) After failover (promotion of secondary to primary) With general availability, we are excited to announce that the Geo-replication feature now supports all the features that are generally available in the service today. This includes private networking, customer-managed key encryption, Event Hubs Capture, and many more. These enhancements ensure that you can leverage the full capabilities of Event Hubs while benefiting from the added reliability of Geo-replication. We have also increased visibility into the health and metrics of your replicas. This means you can now monitor the status of your replicas more effectively and know exactly when it is appropriate to promote your secondary to primary. This added visibility ensures that you can make informed decisions and maintain the high availability of your applications. Since the announcement of public preview, we’ve had several customers try out the Geo-replication feature and appreciate the enhanced reliability and peace of mind that comes with having a robust disaster recovery solution in place. Learn more Learn more about geo-replication concepts and the pricing model and try out this quickstart to learn how to setup geo-replication for your premium and dedicated tier namespaces. We encourage our customers to try out the Geo-replication feature and experience the benefits of turnkey business continuity and disaster recovery features firsthand. Your feedback is invaluable to us, and we look forward to hearing about your experiences.Announcing the Event Hubs Data Explorer: a handy tool for getting started and debugging
Transform your event-driven architectures with the new Event Hubs Data Explorer! Whether you're debugging, optimizing, or just getting started, this tool offers a unified interface for producing and consuming event data, providing invaluable insights. Explore the endless possibilities with Event Hubs Data Explorer!Announcing the General Availability of Event Hubs Data Explorer
We are excited to announce the general availability of the Event Hubs Data Explorer in the Azure portal! Ever since our preview announcement in September, we've heard customers rave about how the Event Hubs Data Explorer has already made its way into their daily workflows to onboard, debug and review the data in their Event Hubs with very little effort. Customer-Centric Design We listened to your feedback and designed the Event Hubs Data Explorer to address your needs. We've had a lot of customers try this tool and share feedback on how its saving them significant time and effort when it comes to viewing their Event Hubs in action and performing basic debugging tasks. Simplified Onboarding and Debugging The Event Hubs Data Explorer is perfect for both new and experienced users. It provides a comprehensive view of event data, making it easy to test event producers and consumers. You can quickly validate your setup with custom workloads or predefined datasets, ensuring everything is configured correctly. Debugging is now more straightforward than ever. With the ability to inspect data at specific timestamps or offsets, you can quickly identify and resolve issues, optimizing your event processing workflows. Getting Started To start using the Event Hubs Data Explorer, navigate to your Event Hubs namespace in the Azure portal. From there, you can access the Data Explorer and begin sending and viewing events with just a few clicks. You can also check out the documentation here. We are excited to see how you leverage the Event Hubs Data Explorer to drive innovation and efficiency in your projects. Your feedback has been instrumental in shaping this tool, and we look forward to continuing to improve our offerings based on your insights.Introducing Local emulator for Azure Service Bus
Azure Service Bus is a fully managed enterprise message broker offering queues and publish-subscribe topics. It decouples applications and services, providing benefits like load-balancing across workers, safe data and control routing, and reliable transactional coordination. In response to your feedback, we are pleased to announce the introduction of a local emulator for Azure Service Bus. This emulator is intended to facilitate local development experience for Service Bus, allowing developers to develop and test their code against Azure Service Bus, in isolation away from cloud interference. Why emulator? Developers across the globe love emulators! While there are numerous compelling reasons to use emulators, here are just a few of those reasons to consider: Optimized development loop: The emulator speeds up dev/testing against Azure Service Bus. Pre-migration trial: Try Azure Service Bus using your existing AMQP applications before migrating to the cloud. Isolated environment: Use the emulator for dev/test setup without network latency or cloud resource constraints. Cost-efficient: The emulator is free and can be run on your local machine for dev/test scenarios. Note: The emulator is intended only for development and testing. It should not be used for production workloads. Official support is not provided, and any issues or suggestions should be reported via GitHub. Get started with Service Bus emulator The emulator is accessible as a Docker image on Microsoft Artifact Registry, and it is platform-independent, capable of running on Windows, macOS, and Linux. You can use our automated scripts from the Installer repository or initiate the emulator container using the docker compose command. The emulator is compatible with the latest service bus client SDKs and supports a wide variety of features within Azure Service Bus. For more details, please visit aka.ms/servicebusemulator Read more about Azure Service Bus: Introduction to Azure Service Bus, an enterprise message broker - Azure Service Bus | Microsoft Learn We appreciate your feedback and encourage you to share it with us. Please provide feedback or report any issues on our GitHub repository. Wishing you a smooth ride with the Service Bus emulator, making all your tests pass! 😊Introducing Kafka Support in Event Hubs emulator
Azure Event Hubs is a cloud-native data streaming service that streams millions of events per second with low latency, from any source to any destination. Compatible with Apache Kafka®, it allows you to run existing Kafka workloads without code changes. Earlier this year, we released the Event Hubs emulator for local development, which initially only supported AMQP protocol. We are now excited to announce Apache Kafka® protocol support in the Event Hubs emulator. Why emulator? Developers across the globe love emulators! While there are numerous compelling reasons to use emulators, here are just a few of those reasons to consider: Optimized Development Loop: The emulator speeds up dev/testing against Azure Event Hubs. Pre-migration Trial: Try Azure Event Hubs for Apache Kafka® using your existing Kafka applications before migrating to the cloud. Isolated Environment: Use the emulator for dev/test setup without network latency or cloud resource constraints. Cost-efficient: The emulator is free and can be run on your local machine for dev/testing. Note: The emulator is intended only for development and testing. It should not be used for production workloads. Official support is not provided, and any issues or suggestions should be reported via GitHub. Kickstart development with Event Hubs emulator The emulator is available as a Docker image on Microsoft Artifact Registry and is platform-agnostic – it can run on Windows, macOS, and Linux. You can either use our automated scripts from the Installer repository or spin up the emulator container using the docker compose command. The producer and consumer APIs are currently compatible with the emulator. Additional API support will be provided in future incremental versions. To test Apache Kafka® applications locally with the Event Hubs emulator, visit aka.ms/devtestwithehemulator. Learn more about Event Hubs: Azure Event Hubs: Data streaming platform with Kafka support - Azure Event Hubs | Microsoft Learn Introduction to Apache Kafka® in Event Hubs on Azure Cloud - Azure Event Hubs | Microsoft Learn We appreciate your feedback and encourage you to share it with us. Please provide feedback or report any issues at our GitHub repository: Issues · Azure/azure-event-hubs-emulator-installer May the Event Hubs emulator light up your test cases in green! 😊
