The Cloudcast (@cloudcastpod) is the industry's #1 Cloud Computing podcast, and the place where Cloud meets AI. Co-hosts Aaron Delp (@aarondelp) & Brian Gracely (@bgracely) speak with technology and business leaders that are shaping the future of business. Topics will include Cloud Computing | AI | AGI | ChatGPT | Open Source | AWS | Azure | GCP | Platform Engineering | DevOps | Big Data | ML | Security | Kubernetes | AppDev | SaaS | PaaS .
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Culture, Teams and Adoption of FinOps
Gary Harmson (Principal Customer Engineer @Google) and Ieva Jonaityte (Technical Account Mgr @DoIT) talk about the team dynamics, culture and training that drive FinOps success.
SHOW: 775
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SHOW NOTES:
- DoIT Homepage
- Simplifying FinOps for AI Workloads (Eps.719)
- Leveraging FinOps to Scale a Startup (Eps. 761)
- DIKW Pyramid - Framework for data classification
Topic 1 - Welcome to the show and back to the show. Gary, tell us about your background and what areas you focus on at Google Cloud these days.
Topic 2 - Let’s begin by talking about language, specifically the gaps in language (and understanding) between engineering teams and finance teams. What works today and where are the biggest gaps and challenges?
Topic 3 - One of the challenges of Cloud billing, and hence FinOps, is the 100s or 1000s or line-items. What are they for? How are they changing? What are some of the things/tools out there to make sense of all of this spend? (e.g. visualization, tagging, etc.)
Topic 4 - We’re all familiar with budgeting (pre-activity) and complaints about project/cost overruns (post-activity), but what are some of the things happening mid-project, or on-going to avoid the surprises or overruns?
Topic 5 - How much of these on-going changes/tracking is done by the engineering teams and how much is being done by finance teams?
Topic 6 - Can you share with us examples of how companies have evolved with good FinOps principles and hygiene in place?
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