Overview of DoiT's Product Portfolio for Google Cloud

Описание к видео Overview of DoiT's Product Portfolio for Google Cloud

All cloud users – regardless of size, maturity level, or use case – are tasked with optimizing costs for the sake of their business. Yet the dynamic nature of the cloud, along with the wide-ranging features and services available to users, make this much easier said than done.

Product Marketing Manager Craig Lowell takes a quick look at some of DoiT's technology offerings, specifically in relation to Google Cloud. Craig delves into the functionality of features like Attributions, Cloud Analytics, BigQuery Lens, and Anomaly Detection. These tools are critical for understanding, organizing, and optimizing cost allocation across teams, environments, and applications. These offerings also enable users to understand and contextualize cloud costs, manage BigQuery costs, and detect cost anomalies effectively. The technology caters not only to Google Cloud but also to AWS and Azure, offering visibility into cloud spend, creating shareable reports, and empowering teams to have greater control over their cloud usage.

00:00 Introduction to Google Cloud Technology Products
00:00 Understanding the Power of Attributions
00:36 The Role of Cloud Analytics
01:00 Cost Optimization and Governance Tools
01:21 Anomaly Detection and Cost Management
01:36 The Benefits of a Comprehensive Technology Portfolio
01:56 Empowering Teams with Cloud Usage Insights

These clips are from our “Maximizing Your Google Cloud Cost Savings” webinar in which our experts will walk you through some of the biggest opportunities for cloud savings, and how you can use DoiT’s combination of technology and on-demand expertise to fully optimize your costs.

In it, you’ll learn how to:
Take maximum advantage of discount opportunities
Optimize your storage for both cost savings and flexibility
Architect your GKE environment for cost
Register at this link to learn more: https://app.livestorm.co/p/f157e522-3...

#cloudcomputing #googlecloud #finops

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