There are few parts of business that the Covid-19 pandemic hasn’t impacted, in some cases creating pervasive and long-lasting change. While no one knows exactly how our lives will emerge from this upheaval, for businesses it’s clear that long term survival depends on agility. Entire workforces have been mobilised in a matter of weeks. Employees – even the Luddites among us – have had to adopt new ways of working and many are in no rush to return to the traditional office!

The Oil and Gas industry is arguably more familiar with managing an array of changing risk factors than almost any other sector in the United States. The industry is used to facing strong headwinds and has proven itself adept at adjusting to often rapidly shifting business conditions, whether that is regulatory change, big fluctuations in supply and demand, or evolving security supply chain concerns.

This article demonstrates how to Load Test an application deployed in a Kubernetes cluster, verify that the autoscaling is working, and identify potential performance bottlenecks. When you deploy an application to production on Kubernetes, you'll need to monitor traffic and scale up the application to meet heavy workloads during various times of the day. You'll also need to scale down your application to avoid incurring unnecessary costs.