cover of episode Dok Talks #148 - Cost and Kubernetes // Chris Love

Dok Talks #148 - Cost and Kubernetes // Chris Love

2022/9/27
logo of podcast Data on Kubernetes Community

Data on Kubernetes Community

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https://go.dok.community/slack) https://dok.community)

With: Chris Love - Managing Partner, LionKube Bart Farrell - Head of Community, Data on Kubernetes Community

ABSTRACT OF THE TALK

Using Kubernetes to run data workloads costs less than running the same workloads on separate servers. But how do we save at least twenty to thirty percent more? We need the data and a cost-savings culture. We will explore a project called Open Cost: cost monitoring for cloud-native environments. Secondly, we will explore why company culture is more important than cost savings tools.

BIO

Chris Love is a Google Cloud Certified hybrid Multi-cloud Fellow and a Co-founder of Lionkube. Chris co-authored the book Core Kubernetes. He has over 25 years of software and IT engineering experience with companies including Google, Oracle, VMWare, Cisco, Johnson & Johnson, and others. As a thought leader within Kubernetes and the DevOps community, Chris Love has contributed to many open source projects, including Kubernetes, kops (former AWS SIG lead), Bazel (contributed to Kubernetes rules), and Terraform (an early contributor to the VMware plugin). His professional interests include Kubernetes, IT culture transformation, containerization technologies, automated testing frameworks and practices, and DevOps. Love also enjoys speaking around the world about DevOps, Kubernetes, and Technology and mentoring people in the IT and Software industry.

Outside of work Love enjoys skiing, volleyball, yoga, and other outdoor activities that come with living in Colorado. He’s also been a practicing martial artist for over 20 years.

If you’re interested in having virtual coffee or have questions for Chris, you can contact him at @chrislovecnm on Twitter or LinkedIn.

KEY TAKE-AWAYS

Two things will save us money running a stateful workload hosted in Kubernetes; data and company culture.