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[14] [15] To alleviate the first problem application service management (ASM) provides an application-centric approach, where business service performance visibility is a key objective. The second aspect present in distributed, virtual and cloud-based applications poses a unique challenge for application performance monitoring because most of ...
VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling capabilities. It is bundled with the Java Development Kit since version 6, update 7. FusionReactor, Java application performance monitoring - low overhead, production grade tools for production debugging, code profiling, memory and thread analysis
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 ...
Microsoft Azure uses large-scale virtualization at Microsoft data centers worldwide and offers more than 600 services. [11] Microsoft Azure offers a service level agreement (SLA) that guarantees 99.9% availability for applications and data hosted on its platform, subject to specific terms and conditions outlined in the SLA documentation.
Monitoring as a service (MaaS) is a cloud-based framework for the deployment of monitoring functionalities for various other services and applications within the cloud. The most common application for MaaS is online state monitoring, which continuously tracks certain states of applications, networks, systems, instances or any element that may be deployable within the cloud.
Azure Web Apps was the name for a cloud computing based platform for hosting websites, created and operated by Microsoft.It is a platform as a service (PaaS) which allows publishing Web apps running on multiple frameworks and written in different programming languages (.NET, node.js, PHP, Python and Java), including Microsoft proprietary ones and 3rd party ones.
Microsoft Azure Stream Analytics is a serverless scalable complex event processing engine by Microsoft that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications. [1]
Application service management extends the concepts of end-user experience management and real user monitoring in that measuring the experience of real users is a critical data point. However, ASM also requires the ability to quickly isolate the root cause of those slow-downs, thereby expanding the scope of real user monitoring/management.