Just a couple decades ago, human resource departments didn’t look for data product managers. The job didn’t exist because organizations rarely needed professionals to oversee data products and the teams that build them. They might have employed data scientists, but they didn’t need people focused on management more than they focused on data.

The five factors to consider when choosing an e-commerce ERP are: Choosing the right e-commerce platform, like Shopify or Magento, is just the first step in the selection process when planning your IT environment. Your e-commerce business can also benefit from ERP (enterprise resource planning) software that helps you streamline, automate, and optimize your business workflow.

Did you know that the average enterprise utilizes over 1,500 APIs to drive its digital operations? APIs play a pivotal role in today’s data-driven landscape. However, few know the impact API architecture has in enhancing API performance.

Prior to 2022, a lot of the AI news centered on use cases like self-driving cars. Of course, use cases like these didn’t exactly apply to enterprise software. In 2023 ChatGPT showed the abilities of AI to mimic human language, but still, this only scratched the surface of AI applications for the modern enterprise. If you’ve ever asked yourself, “What is AI capable of?” then consider the following examples: How many emails do you get per day?

Today marks a monumental milestone: Autoscaling is now in public preview and available to all our users. Don't like to wake up in the middle of the night to scale up? Do you still have nightmares of the time you forgot to scale down your cloud infrastructure? Autoscaling is the answer: we adjust infrastructure to demand dynamically. We built our autoscaling feature to be: Autoscaling is powerful and raises some questions: It was the most requested feature on our feedback platform with new regions.

According to the U.S. Energy Information Administration (EIA), world energy consumption is forecasted to surge by almost 50% by 2050. This prediction underscores the urgent need for a concerted global push towards smarter, more efficient energy grids and resource management. According to the International Energy Agency (IEA), the global Internet of Things (IoT) deployment in power systems is expected to save $80 billion annually from 2016 to 2040, making up 5% of the total global power generation costs.

In this post, we're going to explore Karpenter, the ultimate solution for Node Autoscaling. Karpenter provides a cost-effective capability to implement your Kong Konnect Data Plane layer using the best EC2 Instances Types options available for your Kubernetes Nodes. See the previous posts in this series for more on Data Plane Elasticity and Pod Autoscaling with VPA, HPA, and Node Autoscaling with Cluster Autoscaler on Amazon EKS 1.29.