Operations | Monitoring | ITSM | DevOps | Cloud

Real-Time, Automated Resource Optimization for Kubernetes Workloads

May 16, 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.
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Pepperdata In Collaboration with AWS | Optimize Utilization and Cost for Kubernetes Workloads

May 15, 2025 By Pepperdata In Pepperdata
In this AWS Startup Partner Spotlight, discover how Pepperdata empowers cloud-native startups to optimize their Kubernetes and Amazon EMR workloads in real time. With automated resource optimization, companies can reduce costs by an average of 30% while increasing utilization by up to 80%—without any manual tuning. Whether you're scaling rapidly or managing unpredictable workloads, Pepperdata ensures your infrastructure runs efficiently and cost-effectively from day one.
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Pepperdata

Why Manual Tuning Fails: A Better Way to Optimize Kubernetes Workloads

May 15, 2025 By Pepperdata In Pepperdata
As a data platform engineer, you’re tasked with running complex workloads—Apache Spark jobs, AI/ML pipelines, batch ETL—across dynamic Kubernetes environments. Performance matters. Time spent tuning matters. And so does cost. But if you’re still relying on manual resource tuning to optimize your workloads, you’re playing a losing game. Sure, you can tweak CPU and memory requests by hand. You can comb through Prometheus metrics, look at job logs, estimate peaks.
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