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A New Era Has Come, and So Must Your Database Observability

DZone

Previously, our application was using one database; developers knew how it worked, and the deployment rarely happened. A single database administrator was capable of maintaining the database, optimizing the queries, and making sure things worked as expected. The complexity of the software increased significantly.

Database 288
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Best PostgreSQL GUI [2024]

Scalegrid

Due to its versatility for storing information in both structured and unstructured formats, PostgreSQL is the fourth most used standard in modern database management systems (DBMS) worldwide 1. To conclude, GUIs are a vital addition to ease the lives of database users and developers.

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Beyond “Prompt and Pray”

O'Reilly

These workflows are then implemented as traditional software, which can be tested, versioned, and maintained. This approach is well understood in software engineering and contrasts sharply with building agents that rely on runtime decisionsan inherently less reliable and harder-to-maintain model.

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Using a GPU Boosts TiDB Analytics Performance from 10 to 150

DZone

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

Analytics 223
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Designing Instagram

High Scalability

FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. We will use a graph database such as Neo4j to store the information. Sample Queries supported by Graph Database. System Components. API Design.

Design 334
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Millions of tiny databases

The Morning Paper

Millions of tiny databases , Brooker et al., It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. Engineering decisions involve making lots of trade-offs.

Database 106
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Automating Success: Building a better developer experience with platform engineering

Dynatrace

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. The app helps users quickly identify areas that require attention and drill down to the host level, where all necessary information is provided to quickly address any issue.