Node.js and io.js Monitoring | @DevOpsSummit #DevOps #Microservices
from Node.js and io.js Monitoring | @DevOpsSummit #DevOps #Microservices
Node.js and io.js are increasingly being used to run JavaScript on the server side for many types of applications, such as websites, real-time messaging and controllers for small devices with limited resources. For DevOps it is crucial to monitor the whole application stack and Node.js is rapidly becoming an important part of the stack in many organizations. Sematext has historically had a strong support for monitoring big data applications such as Elastic (aka Elasticsearch), Cassandra, Solr, Spark, Hadoop, and HBase, as well as more traditional databases, web servers like Nginx, Nginx Plus and Apache, Java applications, cache servers like Redis and Memcached, messaging middleware like everyone's darling Kafka, etc. With such rapid adoption of Node.js and now io.js, we'd be remiss not to add performance monitoring, alerting, and anomaly detection for them in SPM!
Node.js and io.js are increasingly being used to run JavaScript on the server side for many types of applications, such as websites, real-time messaging and controllers for small devices with limited resources. For DevOps it is crucial to monitor the whole application stack and Node.js is rapidly becoming an important part of the stack in many organizations. Sematext has historically had a strong support for monitoring big data applications such as Elastic (aka Elasticsearch), Cassandra, Solr, Spark, Hadoop, and HBase, as well as more traditional databases, web servers like Nginx, Nginx Plus and Apache, Java applications, cache servers like Redis and Memcached, messaging middleware like everyone's darling Kafka, etc. With such rapid adoption of Node.js and now io.js, we'd be remiss not to add performance monitoring, alerting, and anomaly detection for them in SPM!
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