Gartner, Inc. estimates that worldwide spending on public cloud services is forecast to grow 20.4% to total $678.8 billion in 2024. With many organizations incorporating FinOps practices to govern how they spend their money in the cloud, Real-Time Cost Optimization is essential to saving money. In particular, as the market for Generative AI workloads continues to explode, organizations will need to consider a range of cost-savings models to extract optimal efficiency.

Apache Spark versus Kubernetes? Or both? The past few years have seen a dramatic increase in companies deploying Spark on Kubernetes (K8s). This isn’t surprising, considering the benefits that K8s brings to the table. Adopting Kubernetes can help improve resource utilization and reduce cloud expenses, a key initiative in many organizations given today’s economic climate.