An image describing a webinar about autoscaling use cases featuring AWS and StormForge

5 Kubernetes Autoscaling Use Cases Deconstructed by AWS and StormForge

Live Panel Webinar

Webinar

Featuring Rodrigo Bersa, Specialist Solutions Architect for Containers and AppMod, Amazon Web Services

Save Your Spot

Sign Me Up

Meet the Speakers

A headshot photo of Rodrigo Bersa

Rodrigo Bersa

Specialist Solutions Architect for Containers and AppMod, Amazon Web Services

Rodrigo Bersa is a Specialist Solutions Architect for Containers and AppMod, with a focus on Security and Infrastructure-as-Code automation. In this role, Rodrigo aims to help customers achieve their business goals by leveraging best practices on AWS Containers Services, such as Amazon EKS, Amazon ECS, and Red Hat OpenShift on AWS (ROSA) during their Cloud Journey, when building new environments, or migrating existing technologies.

John Platt

John Platt

Chief Technology Officer

John Platt has a Ph.D. in Applied Mathematics and has spent most of his career building Machine Learning-powered products. Throughout his career, he constantly found himself using machine learning to solve infrastructure-related problems. His desire to automate mundane tasks combined with a desire to solve hard problems with mathematics is what led him to his current role as CTO of StormForge, which focuses on Kubernetes resource optimization.

July 31, 12pm ET | 9am PT

There’s no one-size-fits-all approach to Kubernetes autoscaling. Fitting the right pieces together requires a deep understanding of the various autoscaling dimensions and the open-source projects that can plug in to meet specific use cases. 

Get detailed guidance through this highly technical approach with experts from Amazon Web Services and StormForge. They’ll provide a short overview of the three key autoscaling dimensions (cluster, horizontal, and vertical) before diving into how each can be leveraged to navigate the specs associated with different use cases. 

    You’ll learn:

    • Strategies for each dimension, their challenges, and how advanced open-source projects like Karpenter and KEDA can improve on or replace them
    • How to assess workload requirements to choose the right mix of autoscaling tailored to specific app needs
    • Best practices to optimize deployments for peak performance and cost-efficiency for dynamic workloads

    ON-demand-Navigating K8s Cost Opt with Karpenter Webinar

    Navigating Kubernetes Cost Optimization with Karpenter & StormForge

    On-demand Webinar

    Webinar

    Featuring Lucas Duarte, Amazon Web Services, Sr. Specialist Solutions Architect, Containers

    Register to Watch

    Watch Now

    Meet the Speakers

    Lucas Duarte photo

    Lucas Duarte

    Sr. Specialist Solutions Architect, Containers, Amazon Web Services

    Lucas has extensive hands-on experience in Kubernetes and DevOps leadership, having been a key contributor driving DevOps excellence to multiple companies in Brazil.

    Rafa Brito photo

    Rafa Brito

    Software Engineer, StormForge

    Rafa has over 30 years of experience designing and building systems involving distributed computing, Kubernetes, cloud, grid/HPC, and high-frequency trading infrastructure (HFT). 

    The adoption of Kubernetes has driven cloud spend up for 49% of organizations surveyed recently by CNCF — with workload overprovisioning cited as the primary culprit. It’s no wonder why with a proliferation of tools that address different facets of provisioning workloads efficiently often working at odds with one another.

    Learn how to navigate all that complexity on this webinar with AWS Sr. Specialist Solutions Architect Lucas Duarte and StormForge engineer Rafa Brito. They will guide you through efficiently optimizing costs using Karpenter (recently donated to CNCF) and StormForge. In a live demo, they’ll showcase the tangible cost and performance benefits these tools deliver through their seamless interplay.

      By attending this webinar, you’ll learn:

      • Karpenter’s unique approach to streamlining node scaling operations 
      • How Karpenter outperforms the native Kubernetes Cluster Autoscaler (CAS)
      • The importance of setting workload requests and limits and how critical they are to cost optimization
      • How you can efficiently right-size requests at scale using machine learning and automation with StormForge

      You’ll gain the ability to implement these tools effectively, and be on your way to achieving up to 70% cost savings while improving reliability, performance, and developer experience.

      Watch Now

      StormForge anvil on black background

      Partner Virtual Open House and Tech Review

      Thursday, December 10th  |  10AM CST