Deep visibility into Kubernetes costs & actionable insights to optimize clusters

It can be challenging to understand how efficient your container workloads are — often, engineering teams aren’t even aware of the excess capacity they’re paying for. These inefficiencies directly impact unit-level economics, making it harder for teams to understand the real cost of their workloads and take informed actions.

The first step in addressing this challenge is visibility into your Kubernetes operations, and that’s where nOps comes in: continually processing massive amounts of near real-time and historical data for the most accurate, high-resolution view of your Kubernetes workloads.

We’re excited to unveil Container Rightsizing Reports, the newest addition to nOps Kubernetes visibility. Container Rightsizing Reports are purpose-built to surface actionable insights into container resource usage and rightsizing opportunities. This feature makes it easy for DevOps Engineers, Platform Operators, or Infrastructure Managers to identify inefficiencies, quickly access the exact data they need, and take action on reducing waste — accelerating your journey toward truly optimized Kubernetes operations.

Expose inefficiencies to stakeholders & workload owners

Kubernetes clusters generate vast amounts of container usage data, but ensuring the right teams see the right data can be a challenge. With workloads spread across namespaces and labels—each managed by different teams—it can be unwieldy to pinpoint and act on optimization opportunities without sifting through irrelevant data.

With nOps, it’s easy to view how efficient your clusters are and pinpoint excess capacity. Customizable data filters allow you to separate out data by namespace or labels to focus on what matters to each team — for example, if you want to just see celery containers in a particular namespace. This visibility empowers teams with the information they need to take ownership of their workload cost efficiency.

Flexible download options & sharing

nOps Container Rightsizing Reports allow you to export all relevant data in CSV format to analyze and integrate into other workflows, such as JIRA or other third party tools. You can also easily share reports with team members via Slack, email, or a unique shareable link.

Optimize Kubernetes costs automatically with nOps Container Rightsizing

Once you have visibility into inefficiencies in your Kubernetes workloads, the next step is enabling automation to address them. nOps Automated Container Rightsizing ensures each workload runs at optimal CPU and memory levels without constant manual adjustments. This enables your applications to scale seamlessly and reduce costs by avoiding resource waste.

Using detailed data on the real-world resource consumption of your Kubernetes workloads over the last 30+ days, nOps Container Rightsizing produces tailored recommendations for CPU and memory requests at service levels tailored to your workloads. Recommendation levels ranging from maximum savings to maximum headroom to maximize application stability — by default, nOps will automatically select the best level for your workload based on its historical resource consumption.

Learn more about nOps Container Rightsizing

How it Works

Create a new report in the nOps EKS dashboard. When you create a report, you’ll be prompted to fill out access level, delivery frequency, notification settings, and other customizable options.

How to Get Started

If you’re already on nOps…

You can access nOps Container Rightsizing reports in the nOps EKS dashboard. 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 an email.

If you’re new to nOps…

nOps was recently ranked #1 with five stars in G2’s cloud cost management category, and we optimize $1.5+ billion in cloud spend for our customers.

Join our customers using nOps to understand your cloud costs and leverage automation with complete confidence by booking a demo with one of our AWS experts.