Cut your cloud bill without slowing your team down.
I find where the money goes, fix the biggest leaks first and put dashboards in place so costs stay explainable. On one platform this approach cut the Grafana Cloud bill by about 71%.
The bill grows faster than your traffic.
Oversized everything
Nodes and databases were sized for a launch that never needed that much capacity.
Always on
Dev and staging run all night and all weekend with nobody using them.
No cost ownership
The invoice is one number, so no team knows which service or customer drives it.
Hidden line items
Log ingestion, metric cardinality, egress and forgotten snapshots add up quietly.
What the engagement covers.
- 01
Cost breakdown
Tagging and allocation so every cost maps to a team, service or environment.
- 02
Right sizing
Node pools, VMs and databases matched to measured usage, not guesses.
- 03
Autoscaling and schedules
Scale with traffic and switch non production environments off outside working hours.
- 04
Commitments and spot
Reserved instances, savings plans and spot capacity where the workload allows it.
- 05
Observability spend
Metric cardinality, log volume and retention tuned so monitoring costs stay predictable.
- 06
Cost dashboards and alerts
A monthly view per team and alerts when spend jumps unexpectedly.
What you get at the end
- A cost breakdown by service, team and environment
- Prioritized savings list with estimated impact
- Right sizing and autoscaling changes applied
- Schedules for non production environments
- Cost dashboards and anomaly alerts
- A short playbook to keep costs down after handover
Tools I use
- Azure Cost Management
- AWS Cost Explorer
- Kubecost
- OpenCost
- Grafana Cloud
- Prometheus
- Terraform
- KEDA
- Cluster Autoscaler
- Spot VMs
- Savings Plans
- Azure Advisor
Cost questions.
- How much can we save?
- It depends on how the setup grew. After the first review I give you a list of changes with estimated impact before anything is changed.
- Will cost cutting hurt reliability?
- Not if it is done with data. Every change is based on measured usage and rolled out with monitoring in place.
- How is the price decided?
- After a short call I send a written scope and a fixed quote. No hourly surprises, and nothing starts until you have agreed the scope.
- Can you reduce our Grafana or Datadog bill?
- Grafana Cloud, yes, from direct experience cutting one by about 71%. The same cardinality and log volume principles apply to other vendors.
Let us find where the money goes.
Share a recent bill breakdown. The first review usually shows the biggest leaks.