See how it is possible to visualize your entire Kubernetes and OpenShift deployments and see a spread of CPU and memory resource risks to your workload performance and container infrastructure costs.

Learn how to accelerate the operationalization of resource optimizations in your cloud and container infrastructures. Pegah Garousi describes options for automating reporting of optimizations and for subscribing to optimization directives and recommendations.

Most containers, pods, and namespaces in Kubernetes and OpenShift have been deployed with incorrect CPU and memory resource specifications. It isn’t just suboptimal DevOps—it’s dangerous from a service delivery perspective. Watch and see how managing capacity operationally prevents pods from swallowing unused capacity, frees nodes, and keeps the OOM killer away. This bulletproof strategy for maximizing utilization continuously integrates the optimal resources into the source code controlling your nodes and clusters.

Cost analysis and allocation tools like CloudHealth, CloudCheckr, and Cloudability play an important role in many organizations’ FinOps journeys by assisting with keeping Finance informed, enabling forecasting, and driving accountability. These tools may also help provide visibility and direction around long-term purchases like Savings Plans and RIs. But, slicing and dicing your cloud costs is only the tip of the FinOps iceberg: 85%+ of your cloud savings potential lies beyond refining how you buy cloud services. You also need to optimize what you’re actually purchasing.

Engineering job #1 is maximizing availability and performance. Engineering must proactively balance workload and service delivery with finding efficiencies and ensuring optimal cloud spend.The only way for engineers to tackle FinOps is to embed more awareness of capacity and cost into their operational processes. Watch and learn.

Three reasons you need optimization for your K8s resources: Watch this training now and learn how you can start optimizing the compute resources that power your Kubernetes environments.

Kubernetes adds undeniable benefits when it comes to flexibility and agility, but providing suboptimal resource specifications at the container or node level creates tremendous inefficiencies at scale, leaving resources stranded and utilization very low. Learn how the practice of Capacity Operations can augment DevOps and FinOps initiatives and enable greater agility for your operations organization.

See how Autodesk reined in Amazon Web Services (AWS) costs with a comprehensive, cross-functional FinOps program. Densify enables successful cloud financial management at Autodesk by providing each team—Finance, Engineering, and application owners—reliable cloud optimization recommendations and trustworthy justification, creating cross-silo collaboration that delivers reliable applications at the right cost.

Cloud financial management (FinOps) begins with bill analysis and cost allocation—capabilities that cloud providers like AWS, Azure, and GCP deliver natively. But, when it is time to truly optimize infrastructure costs, enterprises need to look deeper.

Cloud elasticity makes capacity management irrelevant in the cloud, right? Wrong! In fact, with effectively no limits on potential capacity, optimization and management becomes critical. Watch as we explore opportunities for DevOps practitioners like you—linchpins for enabling cloud business strategies—to achieve greater agility while providing increased cloud ROI.