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Hyperscalers place big bets on AI as cloud spending rolls on

CIO

In the second quarter of 2024, global spending on cloud infrastructure services grew by 19% year-over-year to surpass the $78 billion mark. While enterprise IT budgets have grown, a significant portion of spending is now going to investments related to artificial intelligence (AI). from Google Cloud and GPT-4o mini from Azure.

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DIY cloud cost management: The strategic case for building your own tools

CIO

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Tools 311
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14 in-demand cloud roles companies are hiring for

CIO

After marked increase in cloud adoption through the pandemic, enterprises are facing new challenges, namely around the security, maintenance, and management of cloud infrastructure. Role growth: 19% of companies have added cloud software engineer roles as part of their cloud investments.

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What is Cloud FinOps?

Perficient

This could involve resizing instances, choosing the right storage type, or implementing automation to eliminate manual tasks. Increased Agility Another benefit of cloud FinOps is increased agility. Cross-Department Collaboration Cloud FinOps also promotes collaboration between different teams within an organization.

Cloud 69
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Cloud Cost Optimization – How to Manage Cloud Cost Effectively

RapidValue

Improper provisioning i.e. the allocation and management of cloud resources by the cloud provider to its clients can be a major challenge. Budget forecasting sometimes could get complex. Imperfect architecture design leads to applications that are poorly designed for cloud-based platforms. Utilize Heatmaps.

Cloud 92
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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

The hardware layer includes everything you can touch — servers, data centers, storage devices, and personal computers. At the end of the day, the infrastructure engineer is expected to employ the most advanced technologies available while staying within the budget. Agile and DevOps methodologies. Google Cloud Fundamentals.

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5 Technical Reasons for a Cloud Analytics Migration

Datavail

In this article, we’ll explore 5 very good motivations for your company to do a technical refresh by moving to cloud analytics. Agility and scalability. Traditional on-premises analytics infrastructure is limited in terms of the agility and scalability that you can achieve. Cost of ownership. Unstructured data.