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Program overview
Online
On-site
Hybrid
FinOps for DevOps Engineers Bootcamp
Build a strong foundation in FinOps practices for DevOps teams, from cost visibility to optimization and governance. Learn how to reduce cloud waste using right-sizing, scheduling, autoscaling, and guardrails in IaC and CI/CD while building cost accountability through dashboards, budgets, and operational controls.
Duration:
3 days
Level:
Intermediate
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1500+ users onboarded
Who will Benefit from this Training?
- DevOps Engineers
- Platform Engineers
- SRE Teams
- Cloud Engineers
- Engineering Managers who own cloud spend
- FinOps teams working closely with engineering
Training Objectives
- Understand what FinOps is and why it matters for engineering teams.
- Identify common cloud cost drivers across compute, storage, networking, and managed services.
- Implement cost visibility using tagging/labeling standards and cost allocation models.
- Build engineering-led cost optimization processes such as right-sizing, autoscaling, scheduling idle resources, and waste elimination.
- Optimize Kubernetes spend using resource requests/limits, bin packing concepts, and over-provisioning detection.
- Implement cost guardrails in CI/CD with IaC review, cost estimation concepts, policy checks, and approvals.
- Build cost dashboards and reporting workflows for engineering teams.
- Establish governance with budgets, alerts, anomaly detection, and accountability per team/service.
- Create a practical FinOps implementation plan for DevOps organizations.
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Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
- Module 1: FinOps Fundamentals (Why Engineering Teams Must Care)
- What FinOps is and how it differs from traditional cost management
- FinOps principles (collaboration, ownership, continuous optimization)
- Engineering accountability for cloud cost and performance
- Key FinOps metrics (unit cost, cost per environment/service, waste)
- Hands-on: Activity: Identify top cost pain points in a sample cloud architecture
- Module 2: Cloud Cost Drivers (Compute, Storage, Network, Managed Services)
- Compute drivers (instance sizing, idle runtime, autoscaling gaps)
- Storage drivers (hot vs cold, snapshots, growth, retention)
- Network drivers (egress charges, cross-zone/cross-region traffic)
- Managed services drivers (databases, caching, logs/metrics costs)
- Hands-on: Lab: Review a sample billing breakdown and classify costs by driver category
- Module 3: Cost Visibility (Tagging/Labeling and Cost Allocation)
- Why visibility comes before optimization
- Tagging/labeling standards (env, owner, team, service, cost-center)
- Cost allocation models (shared vs dedicated, chargeback/showback concepts)
- Tracking cost by service and environment over time
- Hands-on: Lab: Define a tagging standard and map spend to team/service using sample data
- Module 4: Engineering-Led Optimization Processes (Right-Sizing and Waste Elimination)
- Right-sizing fundamentals (CPU/memory actual usage vs provisioned)
- Autoscaling patterns and ensuring scaling is effective
- Scheduling idle resources (non-prod shutdown patterns)
- Waste elimination checklist (unused disks, snapshots, orphaned resources)
- Hands-on: Workshop: Create an optimization backlog with impact/effort prioritization
- Module 5: Kubernetes Cost Optimization (Requests/Limits, Bin Packing, Over-Provisioning)
- How Kubernetes spend happens (nodes, pods, over-provisioning)
- Requests and limits impact on scheduling and cost
- Bin packing concepts and node utilization patterns
- Over-provisioning detection (idle capacity, wasted reservations)
- Hands-on: Lab: Tune workload requests/limits and estimate impact on node count and cost
- Module 6: Cost Guardrails in CI/CD (IaC Review, Cost Estimation, Policy Checks)
- Why cost must be part of deployment governance
- IaC review workflow and approval gates
- Cost estimation concepts (before apply, environment-specific)
- Policy checks (allowed instance types, region controls, budget thresholds)
- Hands-on: Lab: Add a “cost guardrail” step into CI/CD with review and approval logic
- Module 7: Dashboards and Reporting for Engineering Teams
- What engineering teams need to see (unit cost, trends, anomalies)
- Dashboards by team/service/environment
- Weekly/monthly reporting workflow and accountability metrics
- Tracking optimization outcomes (savings, regressions, ROI)
- Hands-on: Workshop: Design a FinOps dashboard layout and reporting template for engineering leaders
- Module 8: Governance (Budgets, Alerts, Anomaly Detection, Accountability)
- Budgets by team/service and environment
- Alerting thresholds and escalation workflow
- Anomaly detection concepts (unexpected spikes, misconfigurations)
- Accountability model (owners, review cadence, FinOps rituals)
- Hands-on: Activity: Build a governance checklist for budgets, alerts, and ownership mapping
- Module 9: Practical FinOps Implementation Plan for DevOps Organizations
- 30/60/90-day FinOps rollout plan
- Quick wins vs long-term cost engineering roadmap
- FinOps operating model (meetings, reporting cadence, KPIs)
- Sustaining improvements (continuous optimization loop)
- Hands-on: Capstone Workshop: Create a FinOps implementation plan for a DevOps organization with actions, owners, and timelines
Hands-on Experience with Tools
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Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
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Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
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Implementation
Supplementing training with consulting support to ensure implementation in real projects
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Why FinOps for DevOps Engineers for your business?
- Reduced cloud waste: Identify idle resources, right-size workloads, and optimize spending.
- Better cost visibility: Tagging, budgeting, and reporting improves accountability across teams.
- Smarter scaling decisions: Balance performance and cost using measurable unit economics.
- Improved forecasting: Predict cloud spend trends and plan budgets with real usage insights.
- More profitable cloud adoption: Align engineering decisions with business outcomes and ROI.
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.