Remove 2018 Remove Hardware Remove Tuning
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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Recognized as the fastest growing database by popularity, PostgreSQL was named the DBMS of the year in both 2018 and 2017 by DB-Engines, and continues to grow in popularity in 2019. So Which Is Best?

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Bringing AV1 Streaming to Netflix Members’ TVs

The Netflix TechBlog

The specification of AV1 was published in 2018. AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions. Stay tuned! In February 2020, Netflix started streaming AV1 to the Android mobile app.

Media 246
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Tune Linux Kernel Parameters For PostgreSQL Optimization

Percona

In this post, we will discuss some important kernel parameters that can affect database server performance and how these should be tuned. There are no “good” values for these two parameters since both depend on the hardware. You can tune the difference between the two ratios depending on your disk IO load.

Tuning 79
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

This blog was originally published in August 2018 and was updated in May 2023. Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload.

Tuning 52
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Generative AI in the Enterprise

O'Reilly

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. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.

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Error Tracking - Top Suggestions and Tools

KeyCDN

Let’s take a look at some of the best error monitoring tools and strategies for 2018. Not all back-end errors affect the user experience, but keeping track of them can prove helpful when tuning your app. That being said, here are some of the best tools for tracking web application errors in 2018 Automated Testing 1.

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. tpcc | DELIVERY | PROCEDURE | @ | 2018-10-11 08:57:34 | 2018-10-11 08:57:34 | DEFINER | | latin1 | latin1_swedish_ci | latin1_swedish_ci |.