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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. What is a stored procedure?

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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. InS does now offer an NVMe variant too, and the authors perform limited testing on that as well. Key findings.

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Distributed Algorithms in NoSQL Databases

Highly Scalable

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Read/Write latency. Data Placement. System Coordination.

Database 213
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MongoDB Database Backup: Best Practices & Expert Tips

Percona

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

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Introducing Dynatrace built-in data observability on Davis AI and Grail

Dynatrace

Surveys from our recent Automation Pulse Report underscore this sentiment: 57% of C-level executives say the absence of data observability and data flow analysis makes it difficult to drive automation in a compliant way. An erroneous change in the database system leads to a subset of the data being categorized incorrectly.

DevOps 194
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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

In our final post, we will put them head-to-head in a detailed feature comparison and compare the results of PgBouncer vs. Pgpool-II performance for your PostgreSQL hosting ! PgBouncer defines one pool per user+database combination. PgBouncer allows limiting connections per-pool, per-database, per-user or per-client.

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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. As (C) looked like a kernel rebuild, I started with (D) and (E). ## 5. A quick check of basic performance statistics showed over 30% higher CPU consumption.

Speed 126