Level Up

Mastering FinOps: Duolingo’s Secrets to Cost-Efficient Engineering

Join host Ken Rose, Co-founder and CTO of OpsLevel, as he sits down with Vitor Pellegrino, a Staff Site Reliability Engineer at Duolingo. Vitor shares his insights on FinOps, a critical practice for aligning financial accountability with the architectural decisions at Duolingo. With a career spanning roles at PicPay, SeatGeek, and AWS, Vitor discusses the importance of financial operations in ensuring cost efficiency and strategic investments in technology. In this episode, you’ll learn about: * The definition and importance of FinOps. * Practical steps to implement FinOps in an organization. * The role of cost optimization in cloud environments. * Strategies for getting stakeholder buy-in and aligning teams around cost-efficiency goals. For more on OpsLevel, visit OpsLevel.com [https://opslevel.com]. Tune in to learn how to build more efficient, cost-effective engineering practices from one of the leading voices in the field. Happy building! https://opslevel.com Connect with Vitor Pellegrino on LinkedIn [https://www.linkedin.com/in/vitorpellegrino/?originalSubdomain=de]https://www.linkedin.com

Your Roadmap is NOT Your Strategy

If you're an engineering leader, you've likely struggled with finding a balance between kindness and effectiveness. Author and Advisor Jade Rubick spends his days helping leaders strike that balance. Listen to the episode to learn more about: * Roadmap and strategy * How to drive effectiveness * How to be kind while holding others accountable * ...and more! Learn more about the episode: www.opslevel.com/podcasts/can-engineering-leaders-be-both-nice-and-effective Follow Jade on LinkedIn: https://www.linkedin.com/in/jaderubick/

Beyond the Hype: A practical guide to internal developer portals

In this episode, we're sharing a live talk that Ken gave at DevOps Live UK earlier this year. The talk covers points like: * Streamlining Processes: IDPs consolidate tools and resources, simplifying the development landscape. * Enhancing Efficiency: By providing a centralized platform, IDPs enable developers to access necessary tools quickly. * Role of Platform Teams: Essential in building and maintaining IDPs to support product developers. * Importance of Automation: Automates routine tasks and standard enforcement, crucial for scaling operations. * Future Trends: Insights into the growing significance of IDPs and platform engineering, supported by Gartner’s research. To learn more about IDPs, visit opslevel.com.

Jellyfish CTO: Feelings aren't facts and why DORA doesn't cut it

We sat down with Eli Daniel, Head of Engineering at Jellyfish, to discuss how important measurement is to engineering effectiveness—and culture. By combining quantitative and qualitative data points, engineering leadership can better articulate the entire team’s impact on the organization.  Topics discussed in this episode: * Productivity metrics provide objective data to measure team performance and inform decision-making. * The right metrics depend on the goals and context of the organization. * Start by collecting the metrics you have and focus on understanding where time is being spent. * As organizations scale, metrics should focus on alignment and resource allocation. * DORA metrics are a good starting point, but they don't tell the whole story. * Balancing quantitative and qualitative metrics provides a more complete picture of team performance. Jellyfish is a platform that helps engineering leaders translate and maximize the business impact of their teams. To learn more about Jellyfish, visit https://jellyfish.co/ [https://jellyfish.co/].

The Secret to DevEx: It’s better to whole-ass one thing than half-ass two

Why your data isn't showing the changes needed for success… We sat down with Laura Tacho [https://www.linkedin.com/in/lauratacho/?originalSubdomain=at], CTO of DX [https://getdx.com/], to break down where measuring developer productivity falls short. Laura shares how organizations should aim to balance making decisions based on both quantitative and qualitative data. Humans are not machines and numbers only go so far. She goes further and encourages companies to collect accurate qualitative data, avoid misalignment with leadership, and improve company culture. Join us as we discuss: * Understanding the ‘Why’ behind your metrics * A framework for balancing quantitative and qualitative data * Using metrics that best fit your current status (probably not DORA)