Announcement: Percentiles added to SPM

In the spirit of continuous improvement, we are happy to announce that percentiles have recently been added to SPM’s arsenal of measurement tools.  Percentiles provide more accurate statistics than averages, and users are able to see 50%, 95% and 99% percentiles for specific metrics and set both regular threshold-based as well as anomaly detection alerts.  We will go more into the details about how the percentiles are computed in another post, but for now we want to put the word out and show some of the related graphs — click on them to enlarge them.  Enjoy!

Elasticsearch – Request Rate and Latency

pecentiles_es

Garbage Collectors Time

percentiles_gc

Kafka – Flush Time

percentiles_kafka_1

Kafka – Fetch/Produce Latency 1

percentiles_kafka_2

Kafka – Fetch/Produce Latency 2

percentiles_kafka_3

Solr Req. Rate and Latency 1

percentile_solr

Solr – Req. Rate and Latency 2

percentiles_solr_2

If you enjoy performance monitoring, log analytics, or search analytics, working with projects like Elasticsearch, Solr, HBase, Hadoop, Kafka, Storm, we’re hiring planet-wide!

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