The Data Pipelines Behind Forest Carbon Credits – Why Pachama Uses Flyte to Orchestrate Workflows
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The Data Pipelines Behind Forest Carbon Credits – Why Pachama Uses Flyte to Orchestrate Workflows - Bernhard Stadlbauer, Pachama
Navigating the current landscape of carbon credit projects demands a commitment to transparency and openness in carbon credit computation methods, particularly in the face of growing skepticism towards forest-based initiatives. The essence of trust lies in establishing a clear data lineage, tracing the journey from earth observations, such as satellite imagery, all the way to the generation of carbon credits. This talk is a case study on how Pachama uses Flyte — a Kubernetes-native workflow orchestrator — to handle complex data and machine learning pipelines. Key highlights of this session include: 1. Introduction to Flyte 2. Flyte's Workload Management in Kubernetes 3. Pachama's Flyte Configuration 4. Lessons Learned and Common Pitfalls 5. Comparison to Other Orchestrators Such As Argo or Kubeflow
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