Google Cloud & Workspace services
Google Cloud is a broad platform; the useful question is which service fits which workload. BigQuery is a serverless data platform that separates storage from compute and offers SQL, Python and BigQuery ML for forecasting and classification without managing servers. AlloyDB for PostgreSQL is a managed, PostgreSQL-compatible database with a columnar engine for analytics and cross-region secondary clusters for disaster recovery.
What we do
- Cloud discovery, dependency mapping and wave planning
- Landing zones with network, identity and logging
- VM, database and application migrations
- BigQuery pipelines and BigQuery ML forecasting
- AlloyDB and Cloud SQL replatforming
- Cloud Run and GKE Autopilot application platforms
- Workspace migration, security and retention
- Multi-region resilience for hurricane-exposed offices
For applications, Cloud Run runs containers as services or jobs and scales to zero, and GKE Autopilot lets Google manage nodes, scaling and security defaults while you define the workloads. Spanner is Google's strongly consistent, horizontally scalable relational database. Migrate to Virtual Machines moves machines from VMware, Amazon Web Services (AWS) or Microsoft Azure into Compute Engine, and Google Workspace brings Gmail, Drive, Meet and Docs with an admin console, single sign-on and Vault for retention.
We plan moves by workload rather than by lift-and-shift habit: inventory and dependency mapping, a landing zone with network, identity and logging, migration waves, regional resilience for hurricane-exposed offices, cost guardrails and tested recovery. Experience on the platform, not a Google partnership. Works with our cloud management service.
Leading platforms we work with
- BigQuery
- AlloyDB for PostgreSQL
- Cloud Run
- GKE Autopilot
- Migrate to Virtual Machines
- Google Workspace
- Compute Engine
- Cloud SQL
- Document AI
- Dataflow
- Spanner
- Vertex AI
- Google Distributed Cloud
Platforms and practices
- Cloud Storage with retention locks
- Landing zones and VPC design
- Cloud Interconnect
- Chrome Enterprise
- Cost controls and committed use
- Datastream
References
- BigQuery: introduction
- AlloyDB for PostgreSQL: overview
- Cloud Run: what is Cloud Run
- GKE Autopilot overview
- Migrate to Virtual Machines: overview
- Google Workspace features
- Compute Engine: instances overview
- Cloud SQL: introduction
- Dataflow: overview
- Document AI: overview
Sources last checked .
Product names are trademarks of their owners and are listed to describe our experience; they do not imply endorsement or partnership.
A Google Cloud landing zone built for a hurricane coast
Two regions outside the storm zone, a Shared VPC hub in each, guardrails set once at the organization, and two Partner Interconnect links through different carriers into different metro locations, with an HA VPN as the last resort. Staff reach apps through identity-aware access, not a VPN.
Out of the server rooms before the storms
Fifteen months, five phases, for a distributor of about 1,000 people moving from two hurricane-exposed server rooms to Google Cloud and Workspace: roughly 300 virtual machines, 40 databases, 100 TB of files and 1,000 mailboxes in seven waves. The tightly coupled core went first so that every tier-1 system was in the cloud before the Atlantic hurricane season (1 June to 30 November) began. Illustrative case; figures rounded.
How we use Google Cloud & Workspace services for clients
Cloud Management
Cloud cost review and management, without compromising on quality or security.
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We run your IT day to day so it stays secure: help desk, devices, Microsoft 365, Exchange, Active Directory, backups, networks and monitoring.
Learn moreTailored Software
Software built around your business in weeks, and you own the code.
Learn moreFrequently asked questions
Direct answers to the questions we hear most. Something else on your mind?
Send us a messageWhich Google Cloud service fits which workload?
BigQuery for serverless analytics, AlloyDB for PostgreSQL-compatible databases, Cloud Run for containers that scale to zero, GKE Autopilot when you need Kubernetes with Google managing nodes, Spanner for globally consistent relational data. We choose by workload, not habit.
Can you move our servers to Google Cloud?
Yes. Migrate to Virtual Machines moves machines from VMware, Amazon Web Services (AWS) or Microsoft Azure into Compute Engine. We plan in waves: inventory and dependency mapping, a landing zone with network, identity and logging, then cutover and tested recovery. Some workloads are better rebuilt than lifted.
Does Google Cloud help with hurricane risk on the Gulf and Atlantic coasts?
It can. Moving from a single office server room to cloud regions removes the local point of failure, and regional resilience can be designed in. Your staff's connectivity, internet circuits and offline procedures still matter, so we plan those as well.
What about Google Workspace?
Workspace brings Gmail, Drive, Meet and Docs with an admin console, single sign-on and Vault for retention. We handle migration, identity, security settings and retention policy. Compliance obligations stay with you, and we confirm what the settings support in writing.
How do we keep cloud costs under control?
We set cost guardrails from the start: budgets and alerts, committed use discounts where usage is steady, and regular reviews of what is running. This works with our cloud management service. Check current Google pricing before committing, as it changes.
Are you a Google Cloud partner?
No. This is experience on the platform, not a Google partnership or certification. Google Cloud product names are trademarks of Google. We recommend Google Cloud only when it fits, and say so when another platform serves you better.