24/7 Azure Service Bus Support with a 15-Minute Emergency SLA

Support covers 24/7 emergency incident response with a 15-minute SLA, written root cause analysis on every P1, tier and throughput sizing, client and SDK debugging, identity and networking configuration, and migration or architecture review. Every ticket is handled by a named senior engineer assigned to your account. There is no tier-1 triage layer and no per-incident charge.

Microsoft support covers the Service Bus service itself — platform incidents, quota increases, and confirmed product defects. It does not debug your consumer code, tune your prefetch and lock renewal settings, or review whether your topic filters still match what your publishers emit. In practice most Service Bus incidents originate in the client or the entity design, which is precisely the layer outside platform support scope.

P1 emergencies — producers failing on quota, consumers fully stalled, a namespace throttling during a critical window — get a 15-minute first response with a senior engineer joining a live bridge. P2 critical issues are 1 hour, P3 high-priority 4 hours, and P4 standard questions next business day. These are contractual commitments, not best-effort targets.

Almost never. Service Bus delivers at-least-once under PeekLock, so duplicates are expected whenever a lock expires before the handler calls Complete. The usual causes are a handler slower than LockDuration with no lock renewal, a prefetch count large enough that queued messages age out while waiting, or an unhandled exception path that abandons instead of completing. We identify which, then make the consumer idempotent so the remaining redeliveries are harmless.

It depends on measured behavior, not message volume alone. Standard shares capacity and throttles with ServerBusyException under burst, which is fine for tolerant workloads and unacceptable for latency-sensitive ones. Premium reserves messaging units, supports larger messages, and enables private endpoints and customer-managed keys. We measure your sustained and peak operation rates before recommending a move, because an undersized Premium namespace just moves the ceiling rather than removing it.

Yes, in both directions. We migrate on-premise MSMQ, IBM MQ, and ActiveMQ workloads into Service Bus, mapping transactional semantics and ordering guarantees rather than translating APIs one-for-one. We also move workloads off Service Bus when the fit is wrong — high-throughput event streaming usually belongs on Event Hubs or Kafka, and workloads needing complex routing are often cheaper and faster on RabbitMQ.

Azure Service Bus is Microsoft's enterprise message broker, a managed messaging service inside Microsoft Azure. Its messaging entities are queues and topics. A Service Bus queue delivers each message to one receiver, which suits work distribution and decoupling two services. A topic fans a message out to every topic subscription that matches it, so several consumers each get their own copy, with filters deciding which messages reach which subscription. Producers send messages to a queue or topic through the AMQP-based SDKs or the REST API, and receivers pull from the queue or subscription. Choosing the wrong one is a common finding: a topic with one subscription is a queue with extra cost, and a queue shared by unrelated consumers is a topic in disguise. We review the namespace design as part of support and recommend changes before they become incidents.

Yes. Azure Service Bus supports the Java Message Service 2.0 API over AMQP 1.0 on the Premium tier, alongside the native .NET, Java, Python, JavaScript and Go client libraries, so Java applications written against JMS can move from an on-premises broker with limited changes. Every queue and subscription also has a dead-letter queue, a sub-queue where Service Bus places messages that exceeded their delivery count, expired, or failed a filter or session rule. Messages there are not lost, and they are not processed either until something reads them. Monitoring the dead-letter queue and building a redrive path is part of what our support puts in place, because an unwatched dead-letter queue is how a business process silently stops.

Microsoft supports the platform: namespace availability, regional outages, quotas, and security updates to the service itself. That is what your Azure support plan buys, and it is worth keeping. What Microsoft does not do is diagnose why your consumer processes a message twice, why lock renewal fails under load, why throughput collapsed after enabling sessions, or whether your entities, partitioning and tier fit the workload. AceMQ covers that layer, with the Azure portal, metrics and the SDK behaviour of your own code in scope, and escalates to Microsoft with a written case when the fault is inside the service.

Yes. AceMQ works on Azure Service Bus in two ways: ad hoc engagements for a defined piece of work, such as a health check, an upgrade or an incident, or an annual partner engagement that covers 24/7 support, proactive reviews and named engineers. Many teams start ad hoc and move to an annual partnership once the first engagement is done.

Every AceMQ proposal is tailored to your requirements: your Azure Service Bus environment, the SLA you need, the hours of cover and the scope of work. Most contracts run $24,000–72,000 a year, depending on the SLA, the scope and how Azure Service Bus is deployed, with aggressive discounts when several technologies share one contract. Request a quote and AceMQ replies within 1 hour.