Introducing ReplicaSet Support in EKS Automation

Broader workload coverage for EKS optimization & visibility

Many EKS environments rely on ReplicaSets under the hood—powering stateless services, CI/CD pipelines, and Kubernetes-managed controllers. Despite being core to how clusters operate, these workloads have often fallen outside automated optimization, requiring manual tuning or separate tooling. nOps EKS Automation brings Kubernetes visibility and optimization into a single system—covering containers, nodes, autoscaling behavior, and compute purchasing strategies. And now with ReplicaSet support, that unified approach now extends to an even broader set of Kubernetes workloads—without requiring changes to how teams deploy or manage their clusters.

What’s New

EKS Automation now supports standalone ReplicaSet-based workloads, expanding automated optimization across one of the most widely used Kubernetes controllers. ReplicaSets are supported alongside Deployments, Jobs, DaemonSets, and StatefulSets, and are fully integrated into existing visibility and automation workflows. This means ReplicaSet workloads can now participate in the same continuous optimization processes already applied across the rest of your EKS environment.

Automated Optimization for ReplicaSet Workloads

ReplicaSet support enables EKS Automation to evaluate and optimize these workloads using real usage data rather than static configuration. Capabilities include:

Dynamic container rightsizing based on observed CPU and memory usage
Policy-driven optimization aligned to cost, performance, or stability goals
Safe application of changes that respects Kubernetes controller behavior

Optimization is applied through standard Kubernetes mechanisms, ensuring replica availability is maintained while updates roll out.

Unified Visibility and Lifecycle Management

ReplicaSets are now first-class citizens in cluster-wide visibility and optimization. You can:

View efficiency metrics at the ReplicaSet, pod, and node level
Benchmark cost and performance across workloads
Track savings opportunities and optimization impact over time
Apply recommendations directly from a centralized interface

Who Benefits Most

Platform & DevOps	SRE Teams	FinOps & Engineering Leaders
Extend automated optimization across all major Kubernetes workload types while reducing manual configuration and operational overhead.	Improve stability and efficiency by ensuring ReplicaSet workloads remain correctly sized as usage patterns change.	Capture additional savings by expanding automation coverage without introducing new tools, processes, or vendor lock-in.

How it Works

Once enabled, the platform continuously monitors ReplicaSet workloads using real-time and historical CPU and memory usage patterns. It identifies inefficiencies and applies optimization recommendations through Kubernetes-native mechanisms, ensuring availability is maintained while updates roll out. Automation runs alongside existing autoscalers and deployment pipelines, requiring no infrastructure changes.

How to Get Started

To start using ReplicaSet support, navigate to your EKS automation settings and include ReplicaSets in your workload optimization policies.

If you’re already on nOps…

Have questions about the new feature? Need help getting started? Our dedicated support team is here for you. Simply reach out to your Customer Success Manager or visit our Help Center. If you’re not sure who your CSM is, send our Support Team a message.