Platform operations

DevOps Support

Ongoing GCP ownership for teams that need reliable infrastructure without adding a full-time platform engineer.

Outcome

A maintained GCP operating model with infrastructure, deployments, monitoring, cost, and recurring changes under explicit ownership.

Typical timeline

2–4 weeks to establish the core operating model, followed by ongoing support.

Best for

Teams running meaningful workloads on GCP without dedicated DevOps or platform capacity.

What you actually get

You get a visible operating model for the GCP work your team cannot consistently own.

Infrastructure, deployments, operational changes, and recurring fixes move through reviewed code and a shared backlog instead of isolated console changes.

Monitoring and reporting make cost, reliability, and platform risk explicit enough to act on.

  • IaC-managed projects, services, identity, networking, and policy.
  • Repeatable delivery for applications, data jobs, and scheduled workloads.
  • Monitoring, alerts, and runbooks aligned with the failure modes that matter.
  • Direct access to senior GCP implementation through an agreed request and review cadence.

You're here when

  • Infrastructure and deployment work keeps losing to product priorities.
  • Important GCP knowledge is concentrated in one person or scattered across console history.
  • Spend, quotas, failed jobs, and reliability issues lack consistent review.
  • New services keep becoming one-off deployments with their own operating rules.

How ongoing support works

Anriku works inside your existing GCP environment through a shared backlog, reviewed IaC, explicit access, and a regular operating cadence.

  1. 01

    Establish an intake and priority model for incidents, changes, maintenance, and improvement work.

  2. 02

    Bring consequential infrastructure and deployment behavior into a reviewed repository.

  3. 03

    Implement monitoring, automation, and recovery paths around the workloads that matter.

  4. 04

    Review priorities weekly or every two weeks, including cost, risk, and upcoming changes.

  5. 05

    Record what changed, why it changed, and which follow-up the platform now requires.

What the project looks like

First version in 2–4 weeks to establish access, repositories, workflows, and the operating cadence.

Phase 1: Establish the boundary

Define access, ownership, current risk, and the controls needed to make changes safely.

  • Review infrastructure, IAM, networking, delivery, observability, and cost boundaries.
  • Configure repositories, workflows, communication, and break-glass access.

Phase 2: Repair priority gaps

Address the highest-impact reliability, delivery, cost, and security work first.

  • Ship the first set of reviewed fixes and remove the most fragile manual paths.
  • Document the resulting operating model and any remaining accepted risk.

Phase 3: Ongoing operation

Move into a stable cadence where requests, maintenance, and platform improvement remain visible and owned.

  • Manage the backlog, monitor workloads, and keep infrastructure code aligned with production.
  • Surface the next simplification or investment when evidence justifies it.

What becomes possible after this

Once the GCP operating model is stable, new services and data workloads inherit reviewed patterns instead of starting from another exception.

  • Product and data work ships through repeatable delivery paths with a known owner.
  • Incidents become easier to diagnose because infrastructure, identity, and observability are legible.
  • Cost and architecture decisions can follow measured workload behavior rather than console impressions.
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This is overkill if

A simple managed service or single workload already runs reliably with little operational demand.

You need one bounded fix that is better handled as a short project.

Nobody on your side can own priorities, access, or decisions around the ongoing work.

Put the GCP backlog under ownership

Share the current footprint, recurring operational work, and the problems that keep returning. We’ll tell you whether ongoing support or a smaller project is the better fit.

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