A tailored course, built for your situation
Fix Your GCP Cost Spikes Before They Escalate
A 12-module system to stabilize cloud spend in dynamic DevOps environments
The situation this course is for
Every month, new deployments go live without cost guardrails. Two weeks later, billing alerts fire. You scramble to trace over-provisioned instances, orphaned disks, or misconfigured autoscaling groups. The root cause? Cost checks aren't baked into CI/CD pipelines or IaC templates. You're fixing in hindsight what should've been prevented at launch.
Who this is for
Mid-level to senior DevOps engineers in mid-to-large tech companies running dynamic GCP environments with frequent deployments and variable workloads
Who this is not for
Engineers working in static, low-change environments with fixed cloud spend or those without deployment pipeline control
What you walk away with
- Deploy automated cost-validation checks in CI/CD pipelines
- Enforce right-sized resources at deployment via IaC templates
- Reduce unexpected GCP spend by 30, 50% within one billing cycle
- Eliminate post-spike forensic analysis time
- Shift from reactive cost cleanup to proactive cost design
The 12 modules (with all 144 chapters)
- Map billing data to teams
- Tag compliance gaps
- Spot idle VMs
- Find unattached disks
- Track snapshot bloat
- Audit service account usage
- Detect overprovisioned CPUs
- Review regional vs zonal costs
- Analyze network egress trends
- Log query for orphaned resources
- Benchmark per-environment spend
- Prioritize top waste categories
- Parameterize machine types
- Set max instance counts
- Enforce preemptible use
- Default to smaller disks
- Auto-delete boot disks
- Limit regional replication
- Add cost comments
- Use module variables
- Validate disk types
- Restrict GPU attachments
- Set default shutdown schedules
- Include cost estimates in output
- Parse deployment plans
- Extract resource changes
- Call cost estimation APIs
- Set spend thresholds
- Fail high-cost PRs
- Log cost deltas
- Notify budget owners
- Integrate with Slack
- Use GitHub checks
- Run pre-deploy validators
- Store cost baselines
- Generate cost diff reports
- Pull CPU usage metrics
- Detect underutilized nodes
- Recommend smaller types
- Schedule off-hours shutdowns
- Scale down disks
- Migrate to sustained use
- Enable committed use discounts
- Group resize candidates
- Notify owners pre-action
- Apply changes in maintenance windows
- Verify performance post-change
- Log savings achieved
- Classify bucket types
- Set default TTLs
- Enforce naming conventions
- Detect public buckets
- Monitor egress spikes
- Archive cold data
- Use cheaper storage classes
- Block excessive uploads
- Track bucket ownership
- Scan for PII leaks
- Limit cross-region copies
- Alert on size thresholds
- Enable GKE cost allocation
- Set namespace quotas
- Limit pod requests
- Enforce CPU limits
- Monitor node utilization
- Use autoscaling bounds
- Label workloads by cost
- Track idle namespaces
- Downsize dev clusters
- Schedule test cluster shutdowns
- Compare prod vs staging
- Optimize cluster autoscaler
- Set function timeouts
- Limit max instances
- Throttle retry loops
- Cap daily invocations
- Monitor cold start frequency
- Optimize memory allocation
- Use event filtering
- Control pubsub triggers
- Audit function sprawl
- Delete unused versions
- Track per-function cost
- Enforce naming standards
- Extract monthly trends
- Smooth seasonal noise
- Factor in new projects
- Model deployment cadence
- Include discount impacts
- Adjust for team growth
- Predict egress spikes
- Simulate resource changes
- Compare forecast vs actual
- Highlight variance causes
- Update weekly
- Share forecast summaries
- Assign cost owners
- Build team dashboards
- Set team budgets
- Send weekly reports
- Host cost retro meetings
- Link tickets to spend
- Publish savings wins
- Create cost playbooks
- Train on cost basics
- Onboard new members
- Audit ownership accuracy
- Reward optimization
- Estimate new projects
- Attach cost to Jira
- Require cost review
- Document assumptions
- Track approval status
- Flag high-risk changes
- Update estimates iteratively
- Archive old proposals
- Notify finance partners
- Link to procurement
- Store in knowledge base
- Audit change impact
- Audit VPC flow logs
- Reduce NAT usage
- Optimize route tables
- Minimize inter-region traffic
- Use private services access
- Rightsize Cloud CDN
- Tune load balancer settings
- Avoid DNS overuse
- Compress payloads
- Leverage edge caching
- Monitor API gateway costs
- Consolidate egress points
- Standardize cost tools
- Document best practices
- Automate monthly audits
- Rotate cost champions
- Update templates quarterly
- Share cross-team learnings
- Integrate with onboarding
- Measure improvement trends
- Celebrate efficiency gains
- Update playbook annually
- Scale to new teams
- Close the feedback loop
How this maps to your situation
- After a spike in GCP costs with unclear origin
- Before rolling out new CI/CD pipelines
- During infrastructure standardization efforts
- When leadership demands cost accountability
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3, 4 hours per module, designed to be completed in parallel with regular work over 6, 8 weeks.
How this compares to the alternatives
Unlike generic cloud cost courses, this program focuses exclusively on actionable DevOps integration , not theory, dashboards, or high-level policy. It delivers implementation-grade tooling and templates tailored to engineers who ship code daily.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.