In this post, we compare approaches for getting insights in your BigQuery footprint and present you a custom Python script for full flexibility. Introduction In
Workload Identity Federation for GKE is the recommended way for your workloads running on Google Kubernetes Engine (GKE) to access Google Cloud services in a secure
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
DoiT and Google empower Optessa’s compliance journey, seamlessly bringing control back for optimal operations and industry standards.
We’re joined by two BigQuery specialists to cover how to transition from flat-rate to BigQuery Editions and on-demand pricing without overspending.
DoiT International customers often ask a simple question that is worth addressing in detail in this blog, as to answer it fully requires several complex
ML and AI specialists Eduardo Mota and Sascha Heyer join us to explore the complexities of observability of LLM-powered features. Packed with tons of real-life
QMENTA and DoiT optimize clinical trials, using AI and Google Cloud for efficient medical image management, yielding a 22% cost reduction.
We cover the ever-growing importance of Large Language Models (LLMs) in applications, how LLM costs can easily compound once in production, and breaking down the
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.
In this post, we compare approaches for getting insights in your BigQuery footprint and present you a custom Python script for full flexibility. Introduction In
Workload Identity Federation for GKE is the recommended way for your workloads running on Google Kubernetes Engine (GKE) to access Google Cloud services in a secure
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).
DoiT and Google empower Optessa’s compliance journey, seamlessly bringing control back for optimal operations and industry standards.
We’re joined by two BigQuery specialists to cover how to transition from flat-rate to BigQuery Editions and on-demand pricing without overspending.
DoiT International customers often ask a simple question that is worth addressing in detail in this blog, as to answer it fully requires several complex
ML and AI specialists Eduardo Mota and Sascha Heyer join us to explore the complexities of observability of LLM-powered features. Packed with tons of real-life customer anecdotes and best practices, they discuss the challenges and strategies for monitoring Gen AI systems, emphasizing the importance of metrics in understanding system interactions, especially given Gen AI’s non-deterministic nature.
QMENTA and DoiT optimize clinical trials, using AI and Google Cloud for efficient medical image management, yielding a 22% cost reduction.
We cover the ever-growing importance of Large Language Models (LLMs) in applications, how LLM costs can easily compound once in production, and breaking down the costs associated with using LLMs.
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.
In this post, we compare approaches for getting insights in your BigQuery footprint and present you a custom Python script for full flexibility. Introduction In
Workload Identity Federation for GKE is the recommended way for your workloads running on Google Kubernetes Engine (GKE) to access Google Cloud services in a secure
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).
DoiT and Google empower Optessa’s compliance journey, seamlessly bringing control back for optimal operations and industry standards.
We’re joined by two BigQuery specialists to cover how to transition from flat-rate to BigQuery Editions and on-demand pricing without overspending.
DoiT International customers often ask a simple question that is worth addressing in detail in this blog, as to answer it fully requires several complex
ML and AI specialists Eduardo Mota and Sascha Heyer join us to explore the complexities of observability of LLM-powered features. Packed with tons of real-life customer anecdotes and best practices, they discuss the challenges and strategies for monitoring Gen AI systems, emphasizing the importance of metrics in understanding system interactions, especially given Gen AI’s non-deterministic nature.
QMENTA and DoiT optimize clinical trials, using AI and Google Cloud for efficient medical image management, yielding a 22% cost reduction.
We cover the ever-growing importance of Large Language Models (LLMs) in applications, how LLM costs can easily compound once in production, and breaking down the costs associated with using LLMs.
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.
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.
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