Hire GCP Experts Who Watch The Bill As Closely As The Architecture
Easy To Turn On, Easy To Overspend
Every managed service on Google Cloud is one click and one API call away, which is exactly the problem. The architecture that looked elegant in the design review turns into a bill nobody can explain, spread across projects nobody owns, running services nobody remembers enabling.
why choose ecomia
Why teams bring us in
Cloud problems rarely arrive as cloud problems. They arrive as a bill that doubled, an audit question nobody can answer, or a deployment that works for one engineer and nobody else. All three trace back to decisions made early, quickly, and without anyone writing them down.
Cost visible from day one
Labels, budgets and per-service attribution set up during the build rather than reverse-engineered after an uncomfortable finance conversation. You should know what a feature costs to run before you ship it.
Least-privilege IAM by default
Service accounts scoped to the job they do, not granted project-wide editor because it was quicker on a Friday. That distinction is what an auditor eventually asks about.
Managed services chosen deliberately
Cloud Run where it fits, GKE where you genuinely need the control, and an honest answer about which one you are actually in. Kubernetes you did not need is an expensive habit.
Infrastructure you can rebuild
Terraform in version control rather than console clicks nobody can reproduce. If the only record of your environment is the environment itself, you do not have a record.
Services
What we build and maintain
Most engagements start with one of these and quickly involve two or three more, because cost, access and reliability are the same conversation viewed from different angles.
Container workloads on Cloud Run where the simpler runtime is enough, and Google Kubernetes Engine where you need the control it buys. Autoscaling, node pools and request handling tuned to real traffic rather than defaults.
Analytics warehouses and streaming pipelines, with partitioning, clustering and query patterns designed so the cost model works for you rather than against you as data grows.
Picking the storage that matches the access pattern instead of the one already in use, then designing schemas, indexes and lifecycle rules around how the data is actually read.
Build and release pipelines with artifact promotion between environments, so what reaches production is the thing that was tested rather than a rebuild that hopes to match.
Environments defined in code, reviewed like code and reproducible from an empty project. Includes untangling estates that were built by hand and importing them into state.
Organization policies, least-privilege roles, VPC Service Controls and edge protection, set up so security posture is something you can evidence rather than assert.
StratoZone assessment before anything moves, then migration with Migrate for Compute Engine or a re-architecture where lift-and-shift would just relocate the problem.
Cloud Operations Suite for logging, metrics and alerting, plus committed use discounts, rightsizing and the attribution work that makes a bill readable by the people paying it.
Built Around Your Needs
Three ways to bring
Google Cloud expertise onto your team
Dedicated teams
Need a team that owns the platform?
A dedicated team responsible for the Google Cloud estate day to day, covering reliability, cost, access and the platform work your product teams should not have to do themselves.
Software outsourcing
Want a defined piece of work delivered?
We scope, build and hand over the project with the Terraform, documentation and runbooks your team needs to operate it. Suited to a migration, a data platform, or a security remediation with a clear end point.
Staff Augmentation
Need cloud capacity inside your own team?
Our engineers join your repository, your review process and your on-call rotation for a defined period. Suited to teams that own the direction and need hands or a specific skill they are missing.
Frequently Asked Questions
Most often when data and analytics are central to what you are building, because BigQuery is genuinely differentiated and the surrounding data tooling is coherent. It also tends to win where Kubernetes is core, since GKE is the most mature managed offering, and where your organization already lives in Google Workspace and identity integration matters. If none of those apply, the honest answer is that all three clouds will do the job and the deciding factor is which one your team already knows.
With attribution before optimization. Until every project, service and environment is labeled and mapped to an owner, any saving is guesswork. After that the usual findings are much the same: idle or oversized instances, data egress nobody accounted for, BigQuery queries scanning far more than they need, logs retained for years by default, and environments that were spun up for a test and never turned off. The structural fixes come after the visibility, not before.
Cloud Run is enough far more often than teams assume. If your workload is a stateless container that responds to requests or events, Cloud Run removes an entire operational layer for free. GKE earns its complexity when you need custom networking, sidecars, stateful workloads, fine-grained scheduling, or a platform several teams build on. Running Kubernetes because it feels like the serious choice is one of the more expensive habits in cloud work.
It is excellent for analytical queries over large datasets and poor as a transactional database, which is the mistake worth avoiding. On the on-demand model you pay for bytes scanned, so a query selecting everything from an unpartitioned table is expensive every time somebody runs it. Partitioning, clustering and selecting only the columns you need are not optimizations here, they are the difference between a sensible bill and an alarming one. Above a certain steady volume, capacity pricing becomes the cheaper model.
Usually both, in that order, for different workloads. Lift and shift is the right call when the deadline is a data center contract, and it buys time without pretending to modernize. Re-architecting pays when a workload is actively costing you in reliability or spend, and managed services would remove real operational work. Lifting and shifting everything and calling it a cloud migration is how organizations end up paying cloud prices for data center architecture.
Through groups and organization policies rather than individual grants, with a project structure that reflects environments and teams so permissions have somewhere sensible to attach. Service accounts get scoped to a single job, keys are avoided in favor of workload identity, and access is reviewed on a schedule rather than when someone leaves. The failure mode is not usually a breach, it is that nobody can answer who has access to what.
It starts with agreeing how much downtime and how much data loss the business can actually tolerate, because those two numbers determine the cost and everything else follows from them. Multi-zone is close to free and should be the default. Multi-region is meaningfully more expensive and worth it for a narrower set of systems than most plans assume. Whatever you build, the recovery has to be tested on a schedule, because an untested plan is a document rather than a capability.
Terraform, in almost every case. The ecosystem, the hiring pool and the multi-cloud portability all point the same way, and it is what most teams already know. Deployment Manager exists and works, but choosing it now means a smaller community and a harder time finding people. If you already have Deployment Manager in place and it is stable, that is not an emergency, just something to migrate as those resources get touched.
Yes, and on cloud work it tends to be the arrangement that sticks. Our engineers work in your repository and your review process, and the split of responsibility for on-call, cost ownership and access approvals gets agreed at the start. Cloud estates with two teams and no agreement on who owns what are where the expensive surprises accumulate.
Let’s Build What’s Next
Talk to our team about your goals
Have a project in mind or a challenge you’re looking to solve? Let’s talk about how we can help you move forward.