🔌cloud-finops🔌Plugin
Expert FinOps guidance for cloud, AI, SaaS, and data-platform spend. Reference files spanning AWS (core, commitments and pattern catalogue as separate files; incl. SageMaker operational FinOps, GPU instance rightsizing, and the billing hierarchy behind separate invoices per business unit), Azure (likewise split), GCP, Anthropic, Bedrock, Azure OpenAI, Vertex AI, Databricks, Microsoft Fabric, Snowflake, OCI, AI coding tools, open-weight vendor hosted APIs (DeepSeek, Qwen, Kimi, GLM), agentic FinOps (agent cost anatomy, x402/MPP), FinOps Framework 2024+2026, GreenOps (AWS Sustainability Console, CSRD engagement framing), self-hosted vs managed AI inference decisioning, anomaly management, KPIs and benchmarking (incl. unit economics, executive reporting and strategy alignment), allocation and showback, chargeback (incl. Finance and accounting prerequisites), onboarding workloads (migration-time cost hygiene + M&A), Kubernetes (cross-cluster EKS/GKE/AKS discipline), waste-detection playbooks (eight-category taxonomy incl. egress / data transfer, backed by OptimNow's WasteLine appliance) plus RAG-friendly named-pattern playbooks across AWS, Azure, GCP and cross-cloud (incl. SageMaker idle endpoint, notebook auto-shutdown, MME consolidation, oversized GPU, multi-GPU underutilization, MIG candidate, GPU for CPU-bound workload, outdated GPU generation, coding-agent token waste, expiring commitment without a renewal decision, unused Azure reservation, GCP CUD mismatch, S3 lifecycle gaps, NAT-to-gateway-endpoint substitution, idle Azure VM, orphaned Azure public IPs and NICs, Azure snapshot sprawl, gp2-to-gp3 migration, Graviton candidate), SaaS asset management, and ITAM. Open source, model-agnostic, refreshed twice monthly.
