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.
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”.
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.
A could-native strategy allows an organization to realize business benefits through the use of public, private and hybrid cloud resources. Cloud resources can be used in different ways to achieve varying business objectives, including: reducing infrastructure costs, achieving faster application updates, and meeting data location requirements. Learn more about HCL Software's approach.
As human beings, we have always been fascinated by the unknown, and we need to understand it, interpret it, and draw results from it. Today, however, living in an increasingly hyper-technological, interconnected world, where we collect billions and billions of information and data, we have difficulty because our ability to acquire data exceeds our ability to give meaning to it. Besides data itself, visualization becomes crucial in driving the root cause analysis, explaining concepts, and extracting useful insights from data. Also, visualization can help provide data that is understandable by non-data experts.