Master Cloud Financial Management (FinOps)

Establish a central FinOps team driving a cloud financial mindset across engineering, product, finance, and operations to create value. Contoso shows a cloud-first, multicloud, cloud-agnostic approach with connected bikes.

Master the finops vocabulary to coordinate with stakeholders through cost allocation, wasted usage, right sizing, reserved instances, and amortized costs for informed decisions.

Cultivate stakeholder communication by embracing cloud terminology to simplify interactions and reduce knowledge barriers, illustrated by Azure reservations, Google Cloud committed use discounts, flat-rate purchases, and AWS reservations.

Explore cloud billing through the spend formula (usage times rate), optimize with right sizing and shutdowns, and use cost analysis, alerts, and budgets across AWS, Azure, and GCP.

Define a FinOps practice within the cloud program, appoint a practice leader and automation manager, and establish roles like practitioner and FinOps Czar to align tagging, naming, and reporting.

The lecture demonstrates how FinOps leaders establish a common vocabulary through workshops to align teams on terms like costlocation, waste and usage rate reduction, cost avoidance, and rightsizing.

Explore the finops life-cycle framework with the inform phase guiding visibility, accountability, and tagging-based allocation, followed by forecast, budgeting, and ongoing optimization for cloud cost management.

Allocate cloud costs to business units using tagging, accounts, and enforceable policies, enabling chargeback and showback while promoting cost optimization and cross-team collaboration.

The finops use case defines a tagging strategy with cost center, tier, owner, name, environment, and data classification, guiding budget delta, unused resource removal, and training.

Optimize phase of FinOps by setting goals with cost allocation and tagging, tracking by cost centers, and using objectives and key results, target lines, and anomaly detection for cost efficiency.

Develop a repeatable reserve strategy that aligns reserved instances and CUD with demand, tracks usage against the waterline, and avoids over- or under-provisioning through regular measurements and centralized FinOps.

Demonstrate FinOps driven optimization of the find my bike app by adopting storage hosting, an application gateway with WAF, and auto scaling with a VMSS to reduce costs.

In the operate phase, FinOps aligns teams, defines ownership and onboarding processes, enables governance tooling and visibility, and uses crawl-walk-run to measure and iterate toward pre-set goals.

Apply finops with AWS by understanding reserved instances and their billing benefits. Learn about saving plans, capacity reservation, and consolidated billing across accounts.

Learn how AWS tags provide metadata labeling for resources, enabling organization, visibility, cost allocation, and security risk management through tagging strategies and automation.

Explore how to reserve EC2 capacity with reserved instances and saving plans to lower costs, covering RI types, terms, payments, and AWS cost-management recommendations.

Use an instance scheduler to automatically start and stop development and staging ec2 instances, employ spot instances with autoscale, and protect data with external state such as managed rds.

Explore Azure reserved instances, including region-based VM types and terms, exchanges, refunds, and cancellations. Learn Azure Hybrid Benefit licensing for Windows and Linux, with instance size flexibility in DSv2 groups.

Tag Azure resources with key value pairs for cost allocation and automation, using PowerShell, portal, ARM templates, Bicep, or CLI; enforce tagging with Azure policy and analyze costs by tag.

Explore Azure reservations to save money by committing to one- or three-year plans across products and enjoy discounts on resource use, reducing pay-as-you-go costs by up to 72 percent.

Explore Azure saving plans for compute, committing to a fixed hourly amount for 1–3 years to unlock automatic savings up to 65% across regions and resources.

Gain Azure FinOps insights with advisor recommendations, rightsize VMs, and reserved instances to save costs, plus automate start-stop with Logic Apps and hybrid licensing benefits.

Learn how Google Cloud committed use discounts (CUDs) and sustained use discounts (SUD) affect vCPU and memory pricing, with 1–3 year terms, regional commitments, and project-level management.

Learn how to use Google Cloud Platform (GCP) labels as key-value tags to group resources, differentiate production from development, and filter billing reports by cost center and environment.

Create reservations for Google Cloud VM instances by selecting committed use discounts, purchasing a commitment, and choosing region, duration, cores, memory, GPUs, and local SSD, with a billing-time coupon.

Apply FinOps to GenAI and LLM workloads by understanding token-based billing and tokenization, capacity reservation with BTUs, and cost allocation, while rightsizing models and using RAG for up-to-date information.