Hosting and infrastructure
Google Cloud in SIDECUBE Digital Projects
Google Cloud can support web applications, data, AI, hosting and cloud services connected to the Google ecosystem for analysis, search and automation.
Match
When we use Google Cloud
The technology is chosen after we understand the objective, the rhythm of the team, the level of administration and how much the project needs to increase.
- Cloud applicationsWe prepare the publication, configuration and surveillance of the application in the chosen operating environments.
- Data and AIWe link the data sources to the AI tasks and to the checks preceding the use of the results.
- BackendsWe organize the functions of the server, the access and the data on which the product depends.
- Google servicesWe define the necessary services and relations between them, with documented access and responsibilities.
Uses
What can we build with Google Cloud
We only use technology where it helps the project to be faster, easier to manage or safer to expand.
Deliverables
What goes into implementation
Accurate delivery depends on the project, but we keep every documented, tested and prepared implementation for maintenance.
- Google Cloud Architecture
- Project Configuration
- IAM and security
- Deploy
- Monitoring
Connected services
Google Cloud usually appears in these projects
Choose the service that best describes your need, then determine if this technology is the right choice.
Hosting and maintenance
Hosting in our own data centre and complete management for websites, online stores and applications.
Software solutions
Applications, dashboards and integrations that gather important processes into a more manageable system.
AI Automation
AI agents, document processing and automation connected to real processes, with rules, logbooks and human verification.
Recommended pages
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Frequently Asked Questions
Before you choose technology
Uses, integration and costs for Google Cloud.
01 / Match
When that choice makes sense
What projects do you consider Google Cloud for?
Suitable situations: Cloud applications; Data and AI; Backends; Google services. The choice shall be confirmed after analysis of existing requirements, team and solutions.
What uses do you propose for Google Cloud?
Relevant examples are: Deploy app; Cloud storage; AI services; Integration with Analytics and Ads. We determine what serves your objective and what would add complexity without a clear benefit.
02 / Implementation
Integration and deliverables
Can the solution be integrated into an existing project?
We are checking the application, fields, data and services that depend on the current infrastructure. The plan shall include validation prior to activation and a return option in case of a problem.
What could include implementation?
For Google Cloud, we can define in the offer: Google Cloud Architecture; Project configuration; IAM and security; Deploy; Monitoring. We confirm the deliverables after verification of compatibility and available access.
03 / Operation
Verification and costs
How do you check that implementation works?
We are checking publication, access, critical services and relevant alerts. For infrastructure changes, the backups and restoration possibility are checked separately from the simple availability of the page.
What costs should be foreseen in the long term?
We calculate resources, traffic, storage, backups and additional services. The initial configuration and administration are distinct from the infrastructure provider's invoice.