Businesses need a new, more flexible solution to make digital transformation far easier, says Daniel Blackwell, Product Manager – Networks & Security, Pulsant Digital transformation can provide businesses with a more flexible approach to infrastructure that simplifies the delivery of services and applications. However, this journey to digital transformation can introduce its own complexities that require a new way of thinking.

The events over the past two and a half years have radically changed the world. Digital transformation initiatives went from being a priority to an urgent imperative. Enterprises that had not already migrated data to the cloud rushed to do so during the pandemic, and others accelerated their on-premise-to-cloud shifts. Hybrid and multi-cloud environments become the new reality for many organizations who want to get the most out of their on-premises and cloud investments.

Elastigroup predictive autoscaling uses a machine learning algorithm to accurately predict the CPU utilization pattern of your workloads and increase the number of instances based on the projected CPU utilization. Predictive autoscaling also helps in cases where your instances/applications take a lot of time to boot up. Predictive autoscaling can scale the instances in advance of the actual traffic and thus saving up to 30 minutes of startup time.

This is the third blog from a series focusing on how public clouds meet telecommunication operators’ business demands. In the previous two blogs, we talked about how Amazon Web Services (AWS) and Google Cloud Platform have enabled telcos to run critical workloads on public clouds. In this last part of our series, you’ll hear about Microsoft Azure cloud and why it’s a trusted platform for the telecommunication industry to host their workloads.

Application monitoring plays a critical role in the success of your digital products. As you monitor various performance metrics such as usage of CPU, memory, network traffic, and more, you can swiftly take pre-emptive actions before things develop into a larger problem. In spite of the importance of monitoring, the task can become challenging when your infrastructure exists across multiple cloud platforms including AWS and Heroku.

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