Enabling Continuous Cloud Capacity Optimization

On-Demand DevOps Training

Automated Cloud Capacity Management for DevOps

Cloud elasticity—the fundamental ability to dynamically allocate resources (like CPU and memory) to your workloads—means capacity management is irrelevant in the cloud, right?

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

You will learn:

  • Why capacity management can make or break the success of your cloud strategy and how it impacts the entire business
  • An approach for seamlessly integrating cloud capacity management into DevOps and CI/CD processes using your IaC management tooling (Terraform or CloudFormation)
  • How three enterprises have effectively automated infrastructure provisioning and management through approaches unique to each of their DevOps implementations

We include an open Q&A session after the presentation answering several DevOps questions from the live attendees.

About the Presenters

Andy Walton

Andy Walton VP, Sales, North America, Densify

Andy Walton has over 25 years of experience in IT. At Densify, he works with new prospects and business partners to demonstrate the unique value and functionality of the Densify service. Prior to Densify, Andy held management, sales, and technical roles at IBM, Think Dynamics, KANA Software, Octel Communications, and Tandem Computers. He has a bachelor degree with honours in mathematics and computer science from the University of Waterloo.

Brett Philp

Brett Philp Senior Technical Director, Densify

Brett Philp has 20 years of experience helping customers plan their server resource needs. Brett spent his first decade with IBM and the latter ten years doing both on-premesis and public cloud planning. Specifically, in his last two years, Brett has focused on issues related to automation and container resource consumption due to orchestration.

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