Blog
Transitioning from BigQuery Flat-Rate Commitments: A Guide to Editions & On-Demand
How to smoothly transition your expiring BigQuery flat-rate commitments to a different pricing plan, and keep your usage optimized afterward. Specifically we address which types of workloads work better on Editions vs. on-demand pricing and how to keep your workloads optimized after transitioning from flat-rate (or in general).
Leveraging DoiT expertise directly through the Cloud Navigator console
Three new product features make it easier to benefit from DoiT’s internal expertise For over a decade, DoiT customers
Generative AI on AWS
With Generative AI on AWS, you’ll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment.
GCP vs AWS Data Warehousing and Analytics: Which Service to Pick?
DoiT International customers often ask a simple question that is worth addressing in detail in this blog, as to
Tying Kubernetes costs back to the business with EKS Lens
As more companies undergo digital transformation and move more of their online offerings to cloud infrastructure, the size, scope,
Using Web Components to enable faster Google Maps Platform application development
Exploring the capabilities and the advantages of the new Google Maps Web Components for faster maps development.
DoiT’s 2023: A year focused on your success
We reflect back on 2023 and the successes we’ve accomplished together.
DoiT Solution Brief
A short guide to DoiT’s product portfolio and how it can help you manage your cloud costs while rapidly
Multicloud Cost Allocation Strategies
Learn the challenges of multicloud cost allocation and get actionable tips for building an allocation strategy that will enable chargeback and showback across the organization.
Spot instances decoded: Optimizing utilization and savings with Auto Scaling groups and Spot Scaling
We explore optimizing Spot instance utilization through Auto Scaling groups (ASGs), including strategies for different scenarios, while also covering maximizing savings with DoiT Spot Scaling.