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Kubernetes in the wild report 2023

Dynatrace

Java, Go, and Node.js In general, metrics collectors and providers are most common, followed by log and tracing projects. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch. Java, Go, and Node.js Java Virtual Machine (JVM)-based languages are predominant.

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A guide to Autonomous Performance Optimization

Dynatrace

If you want to see a more hands-on approach, I encourage you to watch the recording as Stefano did a live demo of Akamas’s integration with Dynatrace, showing how to minimize the footprint of a Java application with automated JVM tuning. Akamas also enables you to automate the analysis of the experiment metrics in powerful ways.

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Trending Sources

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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

As of now, CDC sources have been implemented for data stores at Netflix (MySQL, Postgres). CDC events can also be sent to Data Mesh via a Java Client Producer Library. A daily process ranks the records by timestamp to generate a data frame of compacted records. The audits check for equality (i.e.

Big Data 253
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. This includes collecting metrics, logs, and traces from all applications and infrastructure components.

Cloud 192
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Web Performance Bookshelf

Rigor

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. How to pioneer new metrics and create a culture of performance. Time is Money. High Performance Websites.

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Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

On the other hand, when one is interested only in simple additive metrics like total page views or average price of conversion, it is obvious that raw data can be efficiently summarized, for example, on a daily basis or using simple in-stream counters. what is the cardinality of the data set)? Heavy Hitters: Stream-Summary.

Analytics 191