Google Cloud is a strong choice when analytics, data warehousing, and containers sit at the centre of your roadmap. Its serverless data services and managed Kubernetes let small teams run ambitious platforms. We migrate your data and applications into a well-organised GCP project hierarchy, with BigQuery and GKE doing the heavy lifting where they earn their place.
We structure your environment using a clear folder and project hierarchy under a single organisation node, separating production, non-production, and shared services. IAM roles are granted at the right level so teams get access without over-permissioning, and organisation policies enforce constraints such as approved regions and disabled service-account key creation. Billing is split per project for transparent cost attribution. This foundation keeps a growing GCP estate tidy and auditable instead of becoming a flat collection of unrelated projects.
For analytics-heavy workloads we migrate existing warehouses and reporting pipelines into BigQuery, where serverless scaling removes cluster management entirely. We model partitioned and clustered tables to keep query cost low, rebuild ingestion using Dataflow or scheduled transfers, and validate row counts and aggregates against the source. Existing dashboards are repointed and tested so analysts see consistent numbers on day one. The result is a warehouse that scales with query demand rather than fixed nodes you pay for around the clock.
Stateful and legacy workloads move to Compute Engine with right-sized machine types and committed-use discounts where usage is steady. Containerised applications run on Google Kubernetes Engine, using its autopilot and autoscaling capabilities so you provision capacity to actual load. We set up Artifact Registry for images, configure workload identity so pods authenticate without static keys, and wire deployments into CI. This gives you a modern, managed runtime for new services while older workloads migrate at a comfortable pace.
We design VPCs with private connectivity, Cloud NAT for controlled egress, and firewall rules scoped to least privilege. Sensitive data is protected with customer-managed encryption keys and, where needed, VPC Service Controls to limit data exfiltration paths. Cloud Logging and Cloud Monitoring provide unified observability, with alerting policies tied to the metrics that matter to your services. We hand over dashboards and documentation so your team understands the topology rather than inheriting an opaque environment.
GCP is particularly strong for data analytics and containers. If BigQuery, serverless data pipelines, or managed Kubernetes are central to your plans, it often delivers more capability per engineer-hour. We advise honestly when another provider would suit you better.
We reconcile row counts, checksums, and key aggregate values between source and BigQuery before sign-off, and run existing reports side by side. Cutover only proceeds once the numbers match and stakeholders confirm dashboards behave as expected.
Yes. GKE Autopilot manages node provisioning, scaling, and security patching for you, so you focus on workloads rather than infrastructure. We configure it with workload identity and autoscaling so capacity and access follow demand automatically.
Plan and execute production-grade AWS migrations with secure landing zones and right-sized workloads.
Move Windows, SQL Server, and Microsoft 365 estates to Azure with identity-first governance.
Deploy predictable, cost-effective hosting on DigitalOcean Droplets, managed databases, and App Platform.
Package applications into lean, reproducible Docker images with secure, multi-stage builds.
Run resilient, self-healing workloads on Kubernetes with autoscaling, Helm, and GitOps delivery.
Protect data and services with tested backups, defined RPO and RTO, and rehearsed failover.
Cut cloud spend through rightsizing, commitment discounts, and a sustainable FinOps practice.
Harden cloud estates with least-privilege identity, encryption, and continuous compliance monitoring.
Modernise ageing applications incrementally with the strangler-fig pattern and managed cloud services.
Move from costly managed platforms to a self-managed cloud setup your own team can run.
Move existing servers to the cloud quickly with rehost migration and minimal application change.
Contact our team and we will send the best implementation plan for your business.