Operations | Monitoring | ITSM | DevOps | Cloud

Pepperdata

Myth #5 of Kubernetes Resource Optimization: Spark Dynamic Allocation

Jun 27, 2025 By Pepperdata In Pepperdata
In this blog series we’re examining the Five Myths of Kubernetes Resource Optimization. The fifth and final myth in this series relates to another common assumption of many Kubernetes users: Dynamic Allocation for Apache Spark applications automatically prevents Spark from overprovisioning resources while improving workload utilization levels.
Read Post

Pepperdata Resource Optimization for Data Workloads on Kubernetes

Jun 26, 2025 By Pepperdata In Pepperdata
Struggling with underutilized Kubernetes resources or rising cloud costs? Learn how Pepperdata Capacity Optimizer delivers real-time, automated resource optimization for Kubernetes and Amazon EMR workloads—helping teams reduce costs and boost performance without manual tuning. In this video, discover how Pepperdata helps DevOps, platform engineers, and FinOps teams.
View Video
Pepperdata

Myth #4 of Kubernetes Resource Optimization: Manual Tuning

Jun 20, 2025 By Pepperdata In Pepperdata
In this blog series we’ve been examining the Five Myths of Kubernetes Resource Optimization. The fourth myth we’re considering relates to a common misunderstanding held by many Kubernetes practitioners: manual application tuning can increase resource utilization in my applications. Let’s dive into it.
Read Post
Pepperdata

Myth #3 of Kubernetes Resource Optimization: Instance Rightsizing

Jun 12, 2025 By Pepperdata In Pepperdata
In this blog series we are examining the Five Myths of Kubernetes Resource Optimization. So far we’ve looked at Myth 1: Observability and Monitoring and Myth 2: Cluster Autoscaling. Stay tuned for the entire series! The third myth addresses another common assumption of many Kubernetes practitioners: Choosing the right instances will eliminate waste in a cluster.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.