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Monitoring Cloudera DataFlow Deployments With Prometheus and Grafana

Cloudera

prometheus-reporting-task-metrics-send-jvm Defines whether JVM metrics are also exposed. In the example below we’re monitoring total bytes received/sent, the number of flow files queued in all components, the average lineage duration and the current NiFi JVM heap usage which help us understand how our flows are doing.

Bytes 102
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The Ultimate Guide to Java Virtual Threads

Rock the JVM

Riccardo is a proud alumnus of Rock the JVM, now a senior engineer working on critical systems written in Java, Scala and Kotlin. Then, we must give the JVM the --enable-preview flag. The JVM is a multithreaded environment. As we may know, the JVM gives us an abstraction of OS threads through the type java.lang.Thread.

Java 145
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Data Engineering Annotated Monthly – May 2022

Big Data Tools

Impala 4.1.0 – While almost all data engineering SQL query engines are written in JVM languages, Impala is written in C++. This section is about updates that are in the works for technologies and that you may want to keep an eye on. Articles This section is all about inspiration.

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Data Engineering Annotated Monthly – May 2022

Big Data Tools

Impala 4.1.0 – While almost all data engineering SQL query engines are written in JVM languages, Impala is written in C++. This section is about updates that are in the works for technologies and that you may want to keep an eye on. Articles This section is all about inspiration.

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Building Real-time Machine Learning Foundations at Lyft

Lyft Engineering

as well as multiple technologies (JVM, Python Kernel, etc.) In this section, we highlight some of those lessons. The difficulty of debugging running streaming jobs compared to Python code. The opacity caused by having multiple processes (such as a notebook pod, a job manager pod, task manager pods, etc.)

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Supporting Diverse ML Systems at Netflix

Netflix Tech

Notably, not all API-based deployments require real-time evaluation, which we cover in the section below. In other cases, it is more convenient to share the results via a low-latency API. We hope to do this in a pluggable manner that would allow other users to integrate with their own logging systems.

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Data Engineering Annotated Monthly – July 2021

Big Data Tools

Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. This section is about what’s in the works for technologies that you may want to keep on your radar. Articles This section is about inspiration. Cassandra 4.0