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Geek Reading - Week of June 5, 2013

DZone

A handy list of RSS readers with feature comparisons ( Hacker News). Linux System Mining with Python ( Javalobby – The heart of the Java developer community). Google Analytics Becomes A Robust Testing Platform With Content Experiments API ( Google Analytics Blog). History of Lisp ( Hacker News). Java EE 7 is Final.

Java 244
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Implementing service-level objectives to improve software quality

Dynatrace

Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics. With saturation, we try to measure overall system utilization, which you can obtain from host metrics such as CPU and memory usage. Saturation.

Software 256
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What is behavior analytics?

Dynatrace

As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. Here’s what these analytics are, how they work, and the benefits your organization can realize from using them.

Analytics 223
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Dynatrace provides end-to-end observability of AI applications As AI systems grow in complexity, a holistic approach to the observability of AI-powered applications becomes even more crucial.

Cache 199
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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

Percona’s co-Founder Peter Zaitsev wrote a detailed post about migration from Prometheus to VictoriaMetrics , One of the most significant differences in terms of performance of PMM2 comes with the usage for VM, which can also be derived from performance comparison on node_exporter metrics between Prometheus and VictoriaMetrics.

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An overview of end-to-end entity resolution for big data

The Morning Paper

The point of blocking is to reduce the number of comparisons that have to be made later on – the key idea is that any two entity descriptions that have a chance of referring to the same real-world entity should end up in the same block under at least one of the blocking keys. Open source ER systems.