Google Cloud Platform Services
Build and run your applications on Google Cloud.
Google Cloud services cover designing, building and running applications on Google's cloud platform. NetOfficials builds on Google Cloud for B2B clients, from the architecture and data layer to deployment and monitoring, with each choice explained and written into a scope you approve.
- Building software since
- 2011
- Approved before the build
- Written scope
- Tracked in Jira
- Sprint demos
- Confirmed in the contract
- Your IP
What Is Included in Our Google Cloud Services
The parts of a Google Cloud project that we plan together, so they behave as one system.
Architecture Design
Choose services, regions and project layout to fit how your product is used.
Application Build
Develop services that run on managed compute, with release steps that are repeatable.
Data and Analytics
Store, load and query data, and prepare it for reporting and modelling.
Containers and Serverless
Run workloads on managed container or function services where they fit.
Identity and Access
Set up projects, roles and service accounts so access stays narrow.
Monitoring and Alerts
Logs, metrics and alerts so problems are seen before your users report them.
Who Our Google Cloud Services Suit
Teams reach Google Cloud for different reasons. We start from yours.
-
Data-heavy products
Put analytics at the centre
Build products where querying and modelling large data sets is core to the value.
- Warehouse and pipeline design
- Reporting layer for users
- Hand-off to data engineering
-
Teams already on Google tools
Extend what you already use
Add custom applications to a business that runs on Google Workspace and related services.
- Sign-in tied to your existing accounts
- Integrations with current tools
- Project layout that matches your teams
-
Container-first teams
Run services without managing servers
Deploy containerised services on managed platforms with less operational overhead.
- Container build and release set-up
- Scaling rules agreed with you
- Option to move to Kubernetes later
Managed Services or Self-Managed Components on Google Cloud?
Google Cloud offers many managed products, and you can also run your own software on virtual machines. Each route trades control against effort. We recommend one per workload in discovery.
Managed services are usually the better start when
- Your team is small and cannot watch servers around the clock
- The product needs standard building blocks such as queues and databases
- You prefer paying for usage over paying for idle capacity
- You want to spend engineering time on features, not upkeep
| Consideration | Managed services | Self-managed on virtual machines |
|---|---|---|
| Day to day upkeep | Mostly handled by the provider | Patching and tuning fall to your team |
| Control over configuration | Limited to what the service exposes | Full control |
| Portability | Some ties to provider features | Easier to move elsewhere |
| Cost shape | Follows usage | Follows reserved capacity |
| Speed of getting started | Quick to set up | More set-up before the first release |
| Best for | Small teams and standard needs | Special software and tight control |
How We Deliver Your Google Cloud Workloads
Every project moves from a written scope to agreed review points, so you always know what is happening and what comes next.
Discovery
Workloads, data, users and constraints written into a scope you approve.
Signed scopeArchitecture
Project layout, services and network design reviewed with you before building starts.
Approved designBuild
Application and platform code developed in sprints, with a demo at the end of each one.
Demo every sprintDeploy
Automated release into the target project, with access and monitoring in place.
Live workloadRun
Review of logs, alerts and usage, then agreed improvements to the platform.
Ongoing review
What Affects the Cost of Google Cloud Projects
Build effort and running charges are separate questions, and both depend on design choices. These are the factors we discuss with you in discovery.
Choice of services
Managed products and virtual machines are billed in different ways and need different effort.
Volume of data
More data to store, move and query adds both design work and ongoing charges.
Integrations
Connecting to other systems adds build and test effort, and sometimes network charges.
Access and network rules
Strict separation between projects and networks takes more set-up.
Environments
Separate development, test and live environments multiply the platform work.
Monitoring depth
Basic alerts are quick to add, while detailed dashboards and on-call rules take more time.
Why Choose NetOfficials for Google Cloud
The working terms below are part of every engagement, not extras.
One Cross-Functional Team
Design, development, testing and DevOps run through a single team, so decisions stay connected.
Senior From Day One
The senior engineer who scopes your work stays involved while it is delivered.
You Own Everything
IP assignment is confirmed in the contract, and you receive the full source code and documentation at handover.
Mutual NDA
We sign a mutual NDA before you share the details of your project.
Your Working Hours
We agree a communication window that suits your time zone at the start.
Visible Progress
Work is tracked in Jira, with a demo and your feedback at the end of every sprint.
Technologies We Use on Google Cloud
We recommend technology for your project and your team's future, not for our convenience. Three questions guide every choice.
Will it handle your load?
We size the design for your expected users, data and growth, so it does not need rebuilding when the business grows.
Will it fit your systems?
We check how the stack connects with the tools, databases and partners you already rely on before we commit to it.
Can you support it later?
We favour well-supported technology with a wide talent pool, so your own team or any future partner can maintain it.
Technologies we work with
Google Cloud
Docker
Kubernetes
Python
Node.js
Go
Java
PostgreSQL- REST APIs
GraphQL
TensorFlow
TerraformFlexible Ways to Work With Us
Pick the model that fits where your project is today. You can move between them as it grows.
Project Delivery
We deliver an agreed scope, timeline and price.
- Written discovery scope
- Milestone reviews
- Best for a clear first release
- For ongoing work
Dedicated Team
A team that works only on your project, led by a named delivery lead.
- Cross-functional team
- Sprint demos and planning in Jira
- Scale the team up or down
Team Extension
Specialists who join your existing team, tools and processes.
- Works in your process and tools
- Agreed overlap hours
- Best for adding a missing skill
More From Our Cloud Services Practice
This service is part of our cloud services practice. These pages cover the services most often needed alongside it.
Google Cloud Platform FAQs
What are Google Cloud services?
Google Cloud is a set of online computing, storage, data and networking products that you rent and use as needed. Our work is choosing and combining them for your application.
Is Google Cloud a good fit for my product?
It depends on your workloads, your team's skills and where your data lives. We compare it with your needs in discovery and say plainly if another route suits you better.
Can you move my existing application to Google Cloud?
Yes. We review what runs today, agree which parts move and in what order, and write the plan down before changing anything.
Do you build data and analytics systems there?
Yes, where the project calls for it. We agree the data sources, the storage design and the reporting needs in the written scope.
Can we use several clouds together?
Often, yes. It adds design and running effort, so we only recommend it where there is a clear reason, which we write down.
Who owns the cloud project and its code?
Ownership of the infrastructure code and application code for this project is settled in the contract before building starts, and the documentation you receive covers both.
Ready to Build on Google Cloud?
Share a few details. A senior engineer reads every brief and replies with questions and a suggested next step.
- We review your briefAnd reply with questions
- We sign a mutual NDABefore you share the details
- You get a written scopeTeam, timeline and model, before any commitment