Remove Applications Remove Hardware Remove Storage Remove Systems Review
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Getting infrastructure right for generative AI

CIO

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. In storage, the curve is similar, with growth from 5.7% of AI storage in 2022 to 30.5% Facts, it has been said, are stubborn things. It’s multimodal, but tiny.

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. When you think about all the blocking and tackling a CIO needs to do for regular applications, that especially applies to AI.”

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Book Review: Designing Data-Intensive Applications

Henrik Warne

What a great book Designing Data-Intensive Applications is! It covers databases and distributed systems in clear language, great detail and without any fluff. I particularly like that the author Martin Kleppmann knows the theory very well, but also seems to have a lot of practical experience of the types of systems he describes.

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Storage Options in Google Cloud

Cloud That

Persistent Disks (Block Storage). Filestore (Network File Storage). Cloud Storage (Object Storage). One of the fundamental resources needed for today’s systems and software development is storage, along with compute and networks. Persistent Disks (Block Storage). Conclusion. About CloudThat.

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Parallel Database Architecture in DBMS – Advantages & Disadvantages

The Crazy Programmer

In this kind of architecture multiple processors, memory drives, and storage disks are associated to collaborate with each other and work as a single unit. In this type of database system , the hardware profile is designed to fulfill all the requirements of the database and user transactions to speed up the process.

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Finally leverage edge by adopting an as-a-service approach

CIO

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

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Application Errors: Are They Costing You More Than You Thought?

OverOps

You can figure out how much errors cost when they crash your application, but what about other errors and issues that are caught and known? The application has crashed. It takes a few hours (or even days) and some new grey hairs, but eventually the application is up and running again. due to poor quality code. NEW POST ??