Remove Hardware Remove Innovation Remove Open Source Remove Tuning
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From Proprietary to Open Source: The Complete Guide to Database Migration

Percona

Migrating a proprietary database to open source is a major decision that can significantly affect your organization. Advantages of migrating to open source For many reasons mentioned earlier, organizations are increasingly shifting towards open source databases for their data management needs.

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Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Dynatrace

In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. For some of these tests, he’s using the open source tool Apache JMeter. So stay tuned. Raspberry Pi Model 3 B.

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Cloud Native Predictions for 2024

Percona

We want adopters of our technology to be able to deploy their critical open source databases and applications across any public or private cloud environment. The newly formed Open Source AI Alliance , led by META and IBM, promises to support open-source AI.

Cloud 77
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Kubernetes vs Docker: What’s the difference?

Dynatrace

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. But first, some background. Why containers? In production, containers are easy to replicate.

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What I learned at GlueCon 2023?—?Tipping Points and Generative AI

Adrian Cockcroft

My talk was on Innovation and Tipping Points, the first half was based on some content I’ve given before on how to get out of the way of innovation by speeding up time to value or idea to implementation. You need to be able to innovate fast enough to pivot or reinvent your business model and leverage the change.

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Generative AI in the Enterprise

O'Reilly

16% of respondents working with AI are using open source models. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. We’ll say more about this later.)

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Python at Netflix

The Netflix TechBlog

We use and contribute to many open-source Python packages, some of which are mentioned below. Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. If any of this interests you, check out the jobs site or find us at PyCon.