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Azure Data Explorer can ingest 200 MB per second per node. [14] Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub, [21] or programmatic ingestion using SDKs. Data visualization can be achieved using their native dashboard offering, or with tools like Power BI [21] [22] or Grafana ...
The tools listed here support emulating [1] or simulating APIs and software systems.They are also called [2] API mocking tools, service virtualization tools, over the wire test doubles and tools for stubbing and mocking HTTP(S) and other protocols. [1]
GRID System No Commercial: GRID System S.A.S Pascal, Delphi: Broker 2019-09-15 France HiveMQ MQTT Client [17] HiveMQ Yes Apache License 2.0 HiveMQ Java: Client 2023-04-12 1.3.1, [18] Germany HiveMQ Community Edition [19] HiveMQ Yes Apache License 2.0 HiveMQ Java: Broker 2024-11-26 2024.9, [20] Germany HiveMQ [21] HiveMQ No Commercial: HiveMQ ...
Stream Analytics supports three different types of input sources - Azure Event Hubs, Azure IoT Hubs, and Azure Blob Storage. [2] Additionally, stream analytics supports Azure Blob storage as the input reference data to help augment fast moving event data streams with static data. [2] Stream analytics supports a wide variety of output targets.
Azure IoT Hub enables the connection, monitoring, and management of a large number of IoT assets. On February 4, 2016, Microsoft announced the General Availability of the Azure IoT Hub service. [47] Azure IoT Edge is a fully managed service built on IoT Hub that allows for cloud intelligence deployed locally on IoT edge devices.
Before event-driven SOA, the typical SOA platform orchestrated services centrally, through pre-defined business processes, assuming that what should have already been triggered is defined in a business process. This older approach (sometimes called SOA 1.0) does not account for events that occur across, or outside of, specific business processes.
Orleans was originally created by the eXtreme Computing Group at Microsoft Research [2] and introduced the virtual actor model as a new approach to building distributed systems for the cloud.
A mesh network is a local area network topology in which the infrastructure nodes (i.e. bridges, switches, and other infrastructure devices) connect directly, dynamically and non-hierarchically to as many other nodes as possible and cooperate with one another to efficiently route data to and from clients.