A Google Cloud Partnership that works
Trusted by thousands of digital natives worldwide
at scale
Cloud Native Architecture consulting and design
Together we build a roadmap to pilot and deploy Kubernetes according to your requirements. Included are an architecture assessment and design consultation for business critical applications.
Production-grade Kubernetes support
Operate an agile Kubernetes infrastructure backed by our experts. Our support covers critical workflows and technologies so you can build, run and scale Kubernetes with confidence.
Technical support for Google Cloud
DoiT provides around the clock support on Google Cloud services, including the design and architecture of new or existing cloud-native applications.
Cloud Native Architecture consulting and design
Together we build a roadmap to pilot and deploy Kubernetes according to your requirements. Included are an architecture assessment and design consultation for business critical applications.
Production-grade Kubernetes support
Operate an agile Kubernetes infrastructure backed by our experts. Our support covers critical workflows and technologies so you can build, run and scale Kubernetes with confidence.
Technical support for Google Cloud
DoiT provides around the clock support on Google Cloud services, including the design and architecture of new or existing cloud-native applications.
“The DoiT team helped us develop our GKE expertise and now, rather than spending days trying to dig through the documentation to find what’s gone wrong, we speak to DoiT and within a couple of hours we have found the reason and the solution.”
Nathan Burrill
Lead DevOps Engineer
BigQuery Optimizations (Part 1)
Imagine your company is running multiple BigQuery datasets and you just added a new team of analysts querying it a month before. One morning while sipping your coffee (or tea as we don’t want to discriminate) you get your GCP bill and discover that your BQ analysis and storage costs went up by 5,000%.
BigQuery Optimizations (Part 1)
Imagine your company is running multiple BigQuery datasets and you just added a new team of analysts querying it a month before. One morning while sipping your coffee (or tea as we don’t want to discriminate) you get your GCP bill and discover that your BQ analysis and storage costs went up by 5,000%.
