
Is The Era of Cheap AI Over?
This week, the trend is impossible to ignore: LLM costs are out of control. Our engineering leadership team reacts.
Learn Azure Blob Storage basics, key concepts, containers, and how Hot, Cool, Cold, and Archive tiers organize and optimize your data.
Explore Amazon EKS pricing: control-plane fees, EC2 worker node costs, data transfer and storage. Learn how to optimise your Kubernetes clusters on AWS.
Google Dataflow is a powerful tool for processing large-scale data, but its costs can quickly add up without proper management. Optimizing Google Dataflow costs is crucial for organizations looking to maximize the value of their data processing pipelines while minimizing expenses.Cost optimization involves a combination of strategies, techniques, and best practices that help users effectively manage and reduce the costs associated with running Dataflow jobs. By understanding the factors that influence Dataflow pricing and implementing targeted optimizations, organizations can significantly improve their cost efficiency and overall return on investment.
Optimize Kubernetes performance and cost with Karpenter and Sedai. Learn how AI-driven insights enhance node provisioning, predictive scaling, and instance selection.
Cloud engineers can implement spot instances in k8s with smart mix of on-demand & spot, auto-scaling and cost-driving insights to reduce spend.
See how engineering teams automate Kubernetes cluster shutdowns and restarts to cut costs and improve efficiency in 2026’s cloud environments.
Learn how to run Kubernetes clusters on AWS spot instances with manual, automated, or autonomous management approaches to achieve 90% cost savings while maintaining reliability. Covers manual, automated, and autonomous approaches to instance selection and management.