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Intelligent observability for Oracle and SQL databases

Dynatrace

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.

Database 242
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Using a GPU Boosts TiDB Analytics Performance from 10 to 150

DZone

Authors: Ruoxi Sun (Tech Lead of Analytical Computing Team at PingCAP). Fei Xu (Software Engineer at PingCAP). TiDB is a Hybrid Transaction/Analytical Processing (HTAP) database that can efficiently process analytical queries.

Analytics 223
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 217
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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

There are also many cases where business data—transactional, inventory, or financial—is at rest or in use , stored in a database. Dynatrace extensions can easily query data from various databases and store the results in Grail™, the Dynatrace data lakehouse. This can be accomplished using Dynatrace extensions.

Database 228
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 183
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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin Wylie is a Data Engineer on the Content Data Science and Engineering team.

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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

There are also many cases where business data—transactional, inventory, or financial—is at rest or in use , stored in a database. Dynatrace extensions can easily query data from various databases and store the results in Grail™, the Dynatrace data lakehouse. This can be accomplished using Dynatrace extensions.

Database 130