Two promises that are unusual together: we baseline your cloud cost before claiming any improvement, and we hand the platform back fully documented. Neither is compatible with an engagement designed to be permanent.
Cost per environment is the metric, reviewed on a cadence rather than at renewal.
Health check, security audit, and incident reports with root cause analysis.
The published refusal to quote a savings percentage before measuring your actual starting point.
Documented platform, runbooks and IP — the engagement is built to be handed over.
Appsierra designs, migrates, runs and cost-governs cloud and hybrid estates across AWS, Azure, Google Cloud and multi-cloud. Migration is phased and reversible rather than a cutover weekend, every part of the platform is defined as version-controlled, peer-reviewed infrastructure as code so environments are reproducible and drift is eliminated, and the estate is monitored continuously with health checks and application performance monitoring.
The financial half is where most estates actually hurt. FinOps governance means cost visibility by team and service, consistent tagging, budgets and alerts, right-sizing, autoscaling and the cleanup of idle resources — reviewed monthly, with cost per environment as the metric the engagement is held to. The published position on savings is worth repeating exactly: savings depend on your current setup, so we baseline first and report against that baseline honestly. There is no percentage on this page for that reason.
Above the estate sits an internal developer platform with golden paths — a consistent, self-service way for your engineers to create services, provision environments and ship to production, with security and compliance in the defaults so the correct way is also the fastest way. And the exit is designed in: senior pods can own the platform alongside your team and hand it back fully documented, with ownership transferred at exit.
What the pod builds, runs and eventually gives back.
A route to market planned around managed PaaS and embeddable functionality where it fits, moved in stages that can be rolled back. Hybrid and multi-cloud integration where private and public estates have to coexist rather than merge.
Terraform, CloudFormation and Kubernetes manifests version-controlled and peer-reviewed so environments are reproducible and drift is eliminated — and independently validated, with drift scanned on a schedule and bad changes failed in CI.
Cost visibility by team and service, consistent tagging, budgets and alerts, right-sizing, autoscaling and cleanup of idle resources, built into the platform rather than run as an after-the-fact cleanup.
Golden paths that give every team the same paved road — create a service, provision an environment, ship to production — with security and compliance baked into the defaults instead of bolted on at review time.
Idempotent handlers, retries, dead-letter queues, contract tests and end-to-end observability across Kafka, EventBridge, SQS, SNS and Service Bus, with API management on Azure APIM, Kong or Apigee where a gateway is needed.
Health check reports, security audit reports, and incident reports with root cause analysis — plus compliance reports from assessments. They arrive on a schedule rather than on request.
The pod takes ownership early, which is what makes the cost picture honest.
A thirty-minute call, then a measured starting point: what each environment costs, what is idle, where drift already exists. Nothing is promised as a saving before this exists.
Cloud pods take ownership of the environment from the first week, with uptime, cost and performance targets agreed up front rather than billed as open-ended hours.
The estate is expressed as infrastructure as code, peer-reviewed and validated in CI, so a change is a pull request rather than a console session nobody can reconstruct afterwards.
Phased and reversible. Legacy interfaces move by the strangler pattern — a documented REST or event interface in front of the old endpoint, consumers moved one at a time, and the old interface retired only when nothing calls it.
Runbooks, documentation and the levers themselves, transferred to your team. The pod scales down for steady state rather than becoming a permanent dependency.
Four buyers, and two of them are in finance rather than engineering.
The trigger is that spend stopped being a managed number. The fix is visibility by team and service before it is right-sizing, because you cannot reduce what you cannot attribute.
Teams who have been planning an internal developer platform for a year and need senior capacity to actually build it, rather than another tool.
Enterprises merging or inheriting multiple cloud accounts, where the first job is a single view of where the money goes and the second is a reserved-capacity plan.
Shared accountability between engineering and finance: budgets, alerts and a monthly review, with cost per environment as a number both sides recognise.
Three neighbouring services, and the line between them is drawn by the source pages rather than by us.
Yes — right-sizing, autoscaling, environment cleanup and FinOps governance built into the platform reduce idle and over-provisioned resources, and every team gets cost visibility. Savings depend on your current setup, so we baseline first and report against that baseline honestly.
AWS, Microsoft Azure and Google Cloud, plus multi-cloud and Oracle Cloud Infrastructure estates. The goal is to align your workload shape and residency obligations with the right platform rather than to sell a preference.
FinOps gives engineering, finance and product shared accountability for cloud spend. When those controls are built into the platform, cost visibility, budgets and right-sizing become part of the golden path rather than an annual cleanup exercise.
Yes, and usually without a big-bang cutover. The typical approach is a strangler pattern: put a documented REST or event interface in front of the legacy endpoint, move consumers across one at a time, and retire the old interface only once nothing calls it.
India, the US, the EU or the UAE, chosen at contract time, and it does not leave the region you pick. NDA and MSA are signed before any access is granted.
You get the platform, the infrastructure code, the runbooks and the documentation, and ownership transfers at exit. The pod can scale down to steady-state support or leave entirely — there is no lock-in on either side.
Talk to the group and a senior lead scopes it in writing, or go straight to the service's own site and look at it yourself. Neither route commits you to the other.
Name the number you need to hit. A senior lead replies within one business day and a costed plan follows within three working days.
Appsierra's cloud pages: infrastructure management, platform engineering and FinOps, integration services and independent infrastructure testing.
Everything the group sells around Cloud & infrastructure — the company that delivers it, the nearest siblings, and the full list.