#automationoncloud
Number of Posts: 7
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Number of Posts: 7
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Automation | June 7, 2021
HCL Workload Automation is Cloud Native: Q&A with Chief Software Architect
In this blog, we are going to take you through a quick Fireside chat with HCL Workload Automation's Chief Software Architect, Franco Mossotto talking more about HCL Workload Automation and HCL software's cloud native approach​.
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Automation | May 10, 2021
Enhance your Oracle E-Business Suite Scheduling Capabilities with Workload Automation
Oracle E-Business Suite as the name suggests is a suite of several application software mainly consisting of enterprise resource planning (ERP), customer relationship management (CRM), and supply-chain management (SCM) with the Oracle relational database management system (RDBMS) at its very core. Oracle E-Business Suite is one of the most popular solutions out there. Globally organizations use it to streamline their business processes and manage their day-to-day transactions and ultimately reduce costs and bring more efficiency.
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Automation | April 23, 2021
Boost your Workload Automation console in a GKE cluster with Google Cloud SQL and session affinity enabled for the load balancer
​In this blog, we are going to walk you through enabling session affinity for the Dynamic Workload Console (console) deployed in a Google Kubernetes Engine (GKE) cluster that uses an HTTP(S) load balancer network service that leverages an instance of Google Cloud SQL for SQL Server managed database. In a GKE cluster environment, a backend service defines how the HTTP(S) cloud load balancing network service distributes incoming traffic. By default, the method for distributing new connections uses a hash calculated based on five pieces of information: The client's IP address.The source port.The load balancer's internal forwarding rule IP address.The destination port.The protocol. ​You can modify the traffic distribution method for HTTP(S) traffic by specifying a session affinity option.
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Automation | March 30, 2021
Everything you wanted to know about HCL Workload Automation
We, the Workload Automation family, love to take care of every detail. Indeed, we strongly believe that to deliver a good quality product we need to increase our knowledge every day more by discovering and studying new technologies.But the technical part is not the only important thing, we take care of the whole product, which means presentations, blogs, videos, documentation, client advocacy, design thinking, skill transfer, etc.To achieve these goals, effective collaboration and knowledge sharing are at the core. Thus, we arrange a lot of knowledge sharing programs, such as “WA Talks” and “Lunch&Learn”.
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Automation | March 15, 2021
Modernize your Workload Automation deployment to Azure with SQL Managed Instances
As a matter of fact, the deployment of Workload Automation (WA) to a Microsoft Azure cluster makes the implementation of the WA topology 10 times faster and 10 times more scalable compared to the same deployment to the classic on-premises platform, as is the case for Red Hat OpenShift, AWS EKS, Kubernetes and so on. The WA deployment to an Azure cluster can leverage all well-known cloud benefits.
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Automation | February 9, 2021
Automate Anything, Run Anywhere, starting from the Workload Automation Test environment!
Automate anything, Run Anywhere is our motto!What better place to start making it real than from our very own Workload Automation test environment?We have been applying it in our Test Lab for Workload Automation version 9.5 since its general availability in 2019, and to all the subsequent fix packs, including the last one, fix pack 3.
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Automation | December 1, 2020
Exploit the new commands available for the WA plugin for Zowe CLI V1.1.0
Zowe and its major components Web UI, API Mediation Layer, and CLI, are likely to become the new interface for the next generation of mainframers.The Zowe framework is the bridge that connects modern applications with the mainframe by providing easier interoperability and scalability among products and solutions offered by multiple vendors. Developers, testers, operators, and any other professional in the mainframe realm can easily create their tools to automate those tasks that usually would be done manually or through mainframe-native tools. They can build, modify, and debug z/OS applications even with limited z/OS expertise.
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