January 25, 2017 5:34 pm | Updated 4 years ago.
Enterprise Management Tools – Cognitive Intelligence and Machine Learning
While the market for Enterprise Management Tools is a crowded space, the scenario is rapidly changing with the advent of cognitive intelligence and machine learning platforms like Cortana and Watson. The CMDBs (Configuration Management Data Bases) can now store a lot more intelligent and detailed information relating to the individual components, their interdependencies and the current “State” with powerful and simple user interfaces for update and maintenance of the information in the CMDBs provided by the platforms like Cortana and Watson. Many of the Offshore IT vendors have also now developed enterprise management tools that provide significant automation and, therefore, higher reliability while adopting the “Managed Services” model for remote infrastructure management. As several of D2E’ speciality partners have highly sophisticated tools in the enterprise management space, we analyse the different areas that they are focusing on:
Area #1: Network Fault and Performance Management: The tools are designed to manage a wide array of devices across the network and identify the source of performance degradation. These tools, using the UIs provided by Cortana or Watson, compare the events received with the topology model in the CMDB to automate Layers 2/3 of network monitoring and discovery. Some of the products also provide a consolidated view of events and status information across the entire network. By mapping the faults to the availability of business services as defined in CMDB, these tools significantly automate the task of application and business services monitoring.
Area #2: Service Impact Monitoring: In addition to managing just the events, these tools also manage the health of ongoing services and business activities and transactions against the service scorecards and SLAs defined in the CMDB by automatically tracking the impact of issues in real time.
Area #3: Application Discovery Mapping: These tools not only generate business application dependency maps automatically but also monitor the IT environment to detect changes and automatically update the service maps. Upon the occurrence of an application fault, these tools help in quick identification of resources (including mapping of virtual servers to their physical hosts)to minimize the down time.
Area #4: Consolidate Service Process Management Platform: These tools, using CMDB and ITSM workflow, provide an end to end platform for the users to create inventory, application provisioning, service desk etc.
Area #5: Business Intelligence: These tools, leveraging Cortana or Watson’ business intelligence suite of applications, allow the organizations to get analytics not only from the data from IT operations but also from business applications like Sales, CRM etc., and help the users to manage the risk issues like compliance and focus on business drivers like revenue and profits etc.
Area #6: Network and Systems Configuration Management: These tools help the users to manage every aspect of a network configuration in a multi-vendor network, including real-time security alerts to eliminate errors before they occur. These tools also provide life cycle management for enterprise servers and applications by allowing the users to perform discovery, provisioning, patching, configuration management etc.
Area #7: Process Automation: These tools help in automating a lot of complex processes and eliminate error-prone manual steps and reduce the time to execute these processes significantly. Once the setup and configuration are defined in the CMDB, these tools ensure seamless use of applications across different user groups without any ambiguity.
Area #8: Process Best Practice: Last, but not the least, these tools enforce a defined process methodology in the organization and improve operational efficiencies.
D2E believes that the specialty partners on its Aggregator platform bring significant automation in Managed Infrastructure Services space by leveraging the cognitive intelligence and machine learning platforms.