Advanced Topic 37 of 50 DevOps & Tooling
Cost Optimization
Reducing cloud and infrastructure spend.
How it works
Cost optimization, often practiced as FinOps, reduces cloud and infrastructure spending without hurting reliability or speed. Common levers are right-sizing over-provisioned instances, shutting down idle resources, using reserved capacity or savings plans for steady workloads, spot instances for interruptible jobs, storage tiering and lifecycle rules, reducing data transfer between regions and tuning inefficient queries or code. Tagging resources by team and product allows cost allocation, and budgets and anomaly alerts catch surprises. Engineers are given visibility into the cost of what they run.
Where it is used
Organizations apply it to control growing cloud bills, show unit costs such as cost per request and justify architecture decisions.
Common pitfall
Cutting costs by removing redundancy hurts availability, untagged resources have no owner and commitments bought without usage data are wasted. Review reports regularly, automate cleanups and weigh engineering time against savings.
Where it fits in the course
Cost Optimization is topic 37 of 50 in DevOps & Tooling, rated Advanced. It follows Capacity Planning. The next topic is Secrets Management.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the DevOps & Tooling quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the DevOps & Tooling quiz, and revisit the topic if you miss a question.
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Related topics
- Capacity Planning (DevOps & Tooling)
- Secrets Management (DevOps & Tooling)
- SLIs, SLOs and SLAs (DevOps & Tooling)
- GitOps (DevOps & Tooling)
- Query Optimization (Databases)
- Optimization (Math for Computing)
- Convex Optimization (Math for Computing)