The Observability is the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience, basically it is an emerging set of practices, platforms, and tools that goes beyond monitoring to provide insight into the internal state of systems by analyzing external outputs.
Workload Automation can really run anywhere. There is no limit to the number and type of platforms that are now supported. It doesn't matter what kind of environment you have, be it on Virtual Machine, Kubernetes, Docker container or Bare Metal the more complex the topology of your environment becomes the more useful it will be for you to be able to monitor your resources.
HCL is thrilled to announce that we have been positioned as a Leader in the IDC MarketScape for Worldwide Enterprise Automated Software Quality and Continuous Testing for Digital Execution 2022 Vendor Assessment. This is a major recognition for HCL Software.
HCL Workload Automation is a unified automation platform that covers all angles right from application management, cloud transition, migration, and system integration operation services, thereby facilitating the delivery of more automated and responsive service to drive value to business, end users, and IT. This paves the perfect way for future-proof and hybrid/Multi cloud enabled one-stop automation shop.
Workload automation is a critical piece of digital transformation. It can enable practitioners to schedule and execute business process workflows, optimize data transfer and processing, and cut down on errors and delays in the execution of the business processes themselves.
HCL Technologies’ was named Customers’ Choice in 2022 Gartner® Peer Insights™ ‘Voice of the Customer’: Digital Commerce. The Gartner® Peer Insights™ is a free peer review and ratings platform designed for enterprise software and services decision makers.
In this Blog , we would look at how a team wanting to Integrate with Hadoop for running a Map Reduce Program could go about checking the pre-requisites from Hadoop Side and also go about then defining a Hadoop Map Reduce Job type to achieve this integration .