FinOps
Definition
FinOps
FinOps (Financial Operations) is an operating framework that connects technology, finance, and business teams around a shared goal: establishing financial accountability in the cloud and maximising the business value of every cloud investment through transparency, optimisation, and governance.
In detail
Without FinOps, AWS spending grows faster than the value it delivers. Teams provision resources nobody uses. Reservations expire. Instances are oversized. Budgets are exceeded without anyone knowing why.
FinOps addresses this through three levers: transparency (who consumes what), optimisation (where to save), and governance (who is accountable). Tallence implements tagging governance, reserved instance strategies, and rightsizing across your AWS environment.
How Tallence helps
Tallence brings cost transparency to your AWS environment with tagging governance, reserved instance strategy, rightsizing, and monthly reporting your CFO can read.
Learn more about FinOps consultingRelated terms
Site Reliability Engineering (SRE)
An engineering discipline that applies software practices to IT operations, using SLOs and error budgets to balance reliability with delivery speed.
Cloud Governance
The policies, processes, and controls that ensure cloud resources are used securely, compliantly, and cost-effectively across an organisation.
AWS Landing Zone
A pre-configured, multi-account AWS environment with built-in governance, security guardrails, and compliance controls.
Explore more terms
All glossary terms→Hybrid Cloud
A composition of two or more cloud environments (private, community, or public) connected by technology that enables data and application portability.
Private Cloud
A dedicated IT environment used exclusively by one organisation, providing maximum control over data, network, and configuration.
DevOps
An engineering practice that aligns development and operations teams around shared goals, automated pipelines, and a culture of continuous delivery.
Microservices
An architecture pattern where applications are decomposed into independently deployable services, each owning its domain, data, and deployment lifecycle.
Cloud-Native Development
Building applications designed for the cloud from the ground up, using containers, Kubernetes, serverless functions, and declarative infrastructure.
Test Automation
Using specialised tools and frameworks to validate software automatically, catching regressions in every pipeline stage before they reach production.