Learn how to implement LLMs on Google Cloud from DoiT’s AI experts. Get practical insights on model selection, cost management, RAG implementation with Google Workspace, API testing strategies, and step-by-step guidance for your GenAI journey.
Switching to BigQuery’s physical storage can save money, but be aware of time travel and fail-safe storage costs. We cover how these features can inflate your bill and offers options to avoid that, such as reducing the time travel window or switching to logical storage before deleting data.
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).
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.
You can save up to 90% on compute costs with Spot instances. We cover what Spot instances are, why you should use them, and when you should use them.
With SKU-level anomaly detection and targeted anomaly alerting, you can drive a culture of responsible cloud spending while reducing the mean-time to resolve cost spike issues.
We share 7 subtle red flags in your cloud bill that may be reflective of an anti-pattern or overspending, and what you should do instead.
The three foundational elements needed to build a cost optimization culture in your company — and a step by step guide to building one with DoiT’s products.
Learn about GKE cost allocation and how to use its data with cost allocation features in DoiT’s product portfolio to get a granular view of your GKE spend.
DoiT Ramp Plans help you visualize, manage, and track your commit attainment so you can make sure you spend what you committed to, and act proactively.
From cost optimization to cloud migration, machine learning and CloudOps,
we’re here to make the public cloud easy.
From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy.
Ready to get started?
You will receive a calendar invite to the email address provided below for a 15-minute call with one of our team members to discuss your needs.
