Is this page for you?
- Your AWS, GCP, or Azure bill went up again and nobody can explain exactly why.
- Deploys are scary, rollbacks are manual, and monitoring means someone noticing on Slack.
- You are on a platform or an agency stack that you cannot leave without a rewrite.
What cloud cost engineering includes
Cost audit
We map every recurring charge to a workload and a decision. Most bills contain servers sized for a launch day that never came.
Right-sizing
Instances, databases, storage tiers, and reserved capacity matched to real load, with autoscaling based on evidence, not fear.
Kubernetes done quietly
Cluster design, node pools, requests and limits tuned, spot capacity where safe, and no Kubernetes at all when a simpler setup costs less.
Observability
Metrics, logs, and traces with alerts that mean something. Prometheus, Grafana, OpenTelemetry, or your existing tools.
CI/CD and environments
Reproducible pipelines, preview environments, and rollbacks that take one command.
Portability
Containers, infrastructure as code, and open standards, so moving between AWS, GCP, Azure, or bare metal is a plan, not a crisis. We have migrated clients off previous agencies' stacks.
Monthly cost review
Recurring cost is a design decision, so we keep designing it after launch.
What we have built and run
Setside, a cloud deployment platform for developers, is our own product. Our KrakenD API gateway plugin toolkit, written in Go and Docker, is open source. Our team runs Linux, Kubernetes, and bare-metal infrastructure for client platforms in maritime, commerce, and education.
The Cloud Cost Review
A fixed-fee review, scoped on the first call, that produces: a line-by-line cost map, a savings estimate with confidence bands, a prioritized plan ordered by savings per hour of work, and a lock-in risk assessment.
The fee is quoted up front and credited against implementation if you continue with us.
When not to hire us. If your monthly infrastructure spend is small, the review may cost more than it saves in the first year; we will tell you that on the call and point you to what to fix yourself.
Questions clients actually asked
How do you reduce cloud costs without hurting performance?
By matching resources to measured load, tuning databases before adding replicas, using autoscaling on evidence, and removing services that exist because of a vendor default rather than a need.
Do we need Kubernetes?
Often not. We recommend Kubernetes when you run many services with variable load and a team to operate it. Otherwise a simpler container setup is cheaper and calmer.
Can you migrate us off our current cloud or agency stack?
Yes. We plan migrations with zero-downtime cutovers and keep both environments running until the new one is proven.
What monitoring do you set up?
Metrics, logs, and traces, with alerting tied to user-facing symptoms. We prefer open tools like Prometheus, Grafana, and OpenTelemetry but will work with Datadog or your existing stack.
Will we be locked into Broadifi?
No. Infrastructure as code, documented runbooks, and open standards mean any competent team can take over.
Do you work with AWS, GCP, and Azure?
Yes, and with bare metal and hybrid setups. The right choice depends on your workload and your bill, not on our preferences.