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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

RedisĀ® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130
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Powering the Web: Two Decades of Open Source Publishing With WordPress and MySQL

Percona

WordPress also benefited from and popularized MySQL, introducing the LAMP stack – and open source – to an audience that might never have touched a database before or had any intro to open source. MySQL was the database for phpWebLog, for example, way back in 2000. With a little tuning, though, MySQL could hold its own.

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What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. All the databases that HammerDB tests implement a form of MVCC (multi-version concurrency control). On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The provider is essentially your system administrator.

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What Adrian Did Next?ā€”?Part 2?ā€”?Sun Microsystems

Adrian Cockcroft

I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R. We had specializations in hardware, operating systems, databases, graphics, etc. Rich Pettit is one of the best programmers I ever met.

Tuning 52
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Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. The Amazon Elastic File System. Details on the AWS Blog. for a while already.

Lambda 122
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5 tips for architecting fast data applications

O'Reilly Software

Google was among the pioneers that created ā€œweb scaleā€ architectures to analyze the massive data sets that resulted from ā€œcrawlingā€ the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Are there inherent time relationships in the messages that need to be preserved as they travel across the system? At least once?