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Multiple Virtual Networks in Cloud: Monitor connectivity between multiple VNets in the same or different Azure regions. These could be peered V-Nets or V-nets connected using a VPN. Any Cloud: Monitor connectivity between Amazon Web Services and on-premises Networks. And also between Amazon Web Services and Azure V-Nets.
In Azure Data Explorer, unlike a typical relational database management systems (RDBMS), there are no constraints like key uniqueness, primary and foreign key. [26] The necessary relationships are established at the query time. [27] The data in Azure Data Explorer generally follows this pattern: [28] Creating Database, Ingesting data, Query the ...
System Center Operations Manager (SCOM) is a cross-platform data center monitoring system for operating systems and hypervisors. It uses a single interface that shows state, health, and performance information of computer systems.
Azure Data Lake is a scalable data storage and analytic service for big data analytics workloads that require developers to run massively parallel queries. Azure HDInsight [ 31 ] is a big data-relevant service that deploys Hortonworks Hadoop on Microsoft Azure and supports the creation of Hadoop clusters using Linux with Ubuntu.
Microsoft Network Monitor (Netmon) is a deprecated packet analyzer. It enables capturing, viewing, and analyzing network data and deciphering network protocols . It can be used to troubleshoot network problems and applications on the network.
Azure Maps uses map data and routing algorithms to calculate the shortest or fastest routes between locations based on factors like vehicle size and type, traffic conditions, and distance. [21] Routing also supports multi-modal routing, which include multiple modes of transport in a single trip, including cycling, walking, and ferries.
Checkmk is a software system developed in Python and C++ for IT Infrastructure monitoring. It is used for the monitoring of servers, applications, networks, cloud infrastructures (public, private, hybrid), containers, storage, databases and environment sensors.
Service request: collect and fulfill requests from users to access and deploy cloud resources. Monitoring and logging: collect performance and availability metrics as well as automate incident management and log aggregation; Inventory and classification: discover and maintain pre-existing brownfield cloud resources plus monitor and manage changes