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.

See how Helm can be used to automatically configure the optimal resource specification for each Kubernetes (K8s) container, whenever an application is installed or upgraded.

In this training for infrastructure architects, owners, and Finance, Red Hat and Densify teach you how to manage your container platform more efficiently and cost-effectively.

Dig into the benefits and limitations of prominent cloud cost optimization and financial management tools, including.

Watch as Experts from the FinOps Foundation and Densify present three steps enterprises can take to address the #1 cloud and containers FinOps challenge: getting the enterprise to accept and implement optimizations.

Cloud cost control requires optimizing the over-allocation of resources within the underlying infrastructure, in addition to making the most of cloud provider discounts like capacity reservations and Savings Plans. Despite awareness of the issue, many organizations no mechanism to fix this problem.

See how leading enterprises are achieving continuous, DevOps-driven cloud and container cost. Our DevOps experts detail methods for embedding cloud cost optimization into DevOps pipelines, demo an extensible, best practice DevOps pipeline supporting continuous cloud FinOps, and showcase case studies of advanced enterprises successfully augmenting their DevOps to embrace systemic optimization.

Watch and learn how automated infrastructure management withink HashiCorp Terraform and machine-learning-based cost optimization analytics can be combined as part of DevOps and provisioning processes to continuously make FinOps a part of everyday cloud infrastructure management.

Learn how Raiffeisen Bank International uses Densify container optimization analytics in their Jenkins CI/CD pipeline to precisely resource their Red Hat OpenShift containers. Since embedding Densify into their CI/CD workflow, Raiffeisen has reduced resource demands, cut the frequency at which container resources need to be expanded by nearly 50%, and reduced the risk of instability caused by memory shortages.

Choosing the right hardware for your AWS cloud instances makes a meaningful impact on cloud cost and performance. Learn how Densify helps you precisely align your workloads against the AMD EPYC catalog in AWS.