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A general purpose metrics monitor implemented with Apache Spark. Kafka source, Elastic sink, aggregate metrics, different analysis, notifications, actions, live configuration update, missing metrics, ...

License: GNU General Public License v3.0

Shell 1.71% Java 98.20% Dockerfile 0.09%
monitor metric-analysis monitors-metrics notifications spark spark-streaming monitoring monitoring-tool monitoring-application

exdemon's People

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dlanza1 avatar joscorbe avatar yasminagt avatar

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exdemon's Issues

Statuses CLI manager

Provide a CLI to list and remove statuses.

Configuration should be the same as the job.

If #4 uses a socket source, this CLI should start a server that provides the keys to remove.

Mechanism to remove statuses from Streaming

Spark Streaming keep statuses of different components of the tool. A mechanism should be implemented to be able to remove them on demand while the job is running.

What about a socket source that receives JSONs with keys to remove?

Suggestion: JSON Assert

Discussion: Probably we should use/develop some method to compare JSON Objects in tests, instead of hardcoding the expected result, because same objects could have keys in different order, which would fail the test when they are actually the same object.

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