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HAProxy Monitoring Support By @Sematext | @DevOpsSummit [#DevOps]

New functionality is rolling out in SPM Performance Monitoring

HAProxy Monitoring Support

New functionality is rolling out in SPM Performance Monitoring!

Watch this space for future posts on Transaction Tracing, Global and App-specific Server Views, Kafka 0.8.2 monitoring and other cool stuff.

For this post, those of you who use HAProxy are in luck as we just added monitoring support for this popular TCP/HTTP load balancer.

See also: Apache monitoring, and Nginx & Nginx Plus monitoring.

Screenshot – HAProxy Session Rate (click to enlarge)

haproxy-session-rate copy 2

HAProxy Metrics

SPM collects key metrics from the HAProxy load balancer of the underlying proxies/servers, as you can see in the chart below.

Metric Name Description
status 1 (UP/OPEN) 0 (DOWN)
downtime total downtime (in seconds)
rate number of sessions per second over last elapsed second
rate_max max number of new sessions per second
rate_lim limit on new sessions per second
scur current sessions
smax max sessions
slimit sessions limit
stot total sessions
lbtot total number of times a server was selected
bin bytes in
bout bytes out
dreq denied requests
dresp denied responses
ereq error requests
eresp response errors
econ connection errors
wretr retries (warning)
wredis redispatches (warning)
weight server weight (server), total weight (backend)
act server is active (server), number of active servers (backend)
bck server is backup (server), number of backup servers (backend)

You can create threshold-based or machine learning-based anomaly detection on any of these metrics, of course, and you can also rely on heartbeat alerts to detect any HAProxy daemon going down.  Any alerts can be emailed or you can use any of the SPM Alerts Integrations such as PagerDuty, HipChat, Slack, Nagios, or any other WebHook.

See for Yourself

You can check out SPM’s live demo and see some more of SPM’s monitoring, alerting and anomaly detection functionality.  In addition to native monitoring for apps like Solr, Elasticsearch, Hadoop, HBase, Spark, Cassandra, Kafka, Storm, and many more, SPM also integrates with with Logsene Log Management and Analytics to add centralized logging functionality and correlation of metrics, logs, alerts, anomalies, and events.

Take a Test Drive — It’s Easy and Free to Get Started

Like what you see here?  Sound like something that could benefit your organization?  Then try SPM (and Logsene, too) for Free for 30 days by registering here.  There’s no commitment and no credit card required

Read the original blog entry...

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Sematext is a globally distributed organization that builds innovative Cloud and On Premises solutions for performance monitoring, alerting and anomaly detection (SPM), log management and analytics (Logsene), and search analytics (SSA). We also provide Search and Big Data consulting services and offer 24/7 production support for Solr and Elasticsearch.

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