Log Management & Analytics

Your Managed ELK Stack in the Cloud or On Premises

Free Trial

ELK as a Service

With Elasticsearch API and integrated Kibana, Logsene is the first true Hosted ELK Stack. Can’t send logs to the Cloud? Ask us about Logsene On Premises.

  • All your logs accessible in one place. Team support.
  • Hassle-free managed ELK you don’=t need to maintain and scale
  • Use built-in Kibana or use your own Kibana or Grafana with Logsene
  • Inspect your logs via UI or Elasticsearch API
  • Correlate logs with performance metrics via SPM
  • Nothing to install – use any log shipper you want
  • Need a cheaper-than-Splunk On Premises solution? Get Logsene On Premises!
ELK as a Service

Alerting & ChatOps

Logsene alerting integrates with ChatOps services and WebHooks.

  • Convert any query to an Alert
  • Get notified via email, ChatOps, or WebHooks
  • Built-in integrations for PagerDuty, Slack, HipChat, and Nagios
  • Works with VictorOps, OpsGenie, BigPanda, etc.
  • Send Alerts events to any WebHook
  • Pass custom HTTP parameters and headers to WebHooks
Alerting & ChatOps

Saved Searches & Log Taggings

Save any query and save yourself some (re)typing. Re-run Recent and Saved Searches without re-typing.

  • Store any query as Saved Search or Alert Query
  • See log charts for Saved Searches at a glance, without running them
  • Run Live Tail for any Saved Searches
  • Auto-complete Recent and Saved Searches
  • Tag Saved Searches with custom labels and colors
Saved Searches & Log Tagging

Alerting & ChatOps

SPM alerting integrates with ChatOps services and WebHooks.

  • Alert on any metric and any filter combination
  • Alerts based on: thresholds, anomaly detection, app heartbeat
  • Get notified via email, ChatOps, or WebHooks
  • Built-in integrations for PagerDuty, Slack, HipChat, and Nagios
  • Works with VictorOps, OpsGenie, BigPanda, etc.
  • Send Alerts events to any WebHook
  • Pass custom HTTP parameters and headers to WebHooks
Alerting & ChatOps

Log Shipping / Integrations

Use any of the number of compatiable log shippers, logging libraries, platforms, and frameworks.

  • Works with all standard logging facilities and agents (syslog, Logstash, Fluentd, Flume, nxlog, Filebeat…)
  • Ship logs via syslog (rsyslog, syslog-ng, syslogd…)
  • Ship logs from apps via Log4j, Logback, Log4j 2, Log4net, winston-logsene, Python SyslogHandler…
  • Wide language support – Java, PHP, Perl, GoLang, Python, .Net, Ruby, JavaScript
  • Ship with anything that can talk to Elasticsearch or syslog
Log Shipping / Integrations

Multi-user RBAC (Role Based Access Control)

Logsene lets you control who can access which log.

  • All your logs accessible in one place. Team support.
  • Unlimited number of users with Owner, Admin, and User roles
  • Invite teammates to individual Logsene apps or whole account
  • Revoke privileges and change roles at any time
Multi-user RBAC (Role Based Access Control)

Security

Logsene runs on Amazon AWS, whose infrastructure follows IT security best practices and adheres to a number of compliance standards such as SOC 1/SSAE, SOC 2, SOC 3,16/ISAE 3402 (formerly SAS 70 Type II), FISMA, DIACAP, FedRAMP, and HIPAA.

  • Ship your logs via encrypted channels: TLS/SSL, or HTTPS
  • Control who can access your logs via an app token and API key
  • Restrict access to select members of your team
  • Revoke and change user privileges on demand
Security

Plans and Pricing

Pricing is calculated per agent per hour for App and Server Monitoring and per Docker host per hour for Docker Monitoring.

See Plans and Pricing

Frequently Asked Questions

 
New users get a 30-days free trial for each new SPM App (existing customers get 2 days free trial for each additional App). At the end of the trial the App is automatically switched to the Basic (free) plan, unless you picked a paid plan. If you pick a paid plan before the trial period ends we will honour the full trial period.
Of course. You can simply stop sending us metrics, or remove our agents, or switch to the Basic plan.
There are no contracts and no commitments. You can cancel any time. Price is metered and based on the running time for the app / server being monitored. Note: Docker monitoring is based on the base price and per-container price. The base price includes monitoring of a Docker host and free monitoring of up to N containers. Per-container price is applied only if you run more than N containers per host. The number of containers per host is averaged for the whole account. The base price and the number of containers included in it depends on the plan. We charge at the end of the month. For longer term and large contracts please get in touch.
Yes. Each SPM App is independent and each SPM can have a different plan. Each user account can have any number of SPM Apps. Moreover, each SPM App can use a different payment method (e.g. a different credit card).
Yes. Everything you see in the Cloud version of SPM is available in an on Premises version, packaged as an RPM, DEB package, or a VM. Please get in touch for more information.
There are no limits to how many servers / instances / nodes / containers you can monitor.
You don’t have to, though you can. SPM gives you instant gratification. SPM knows what type of application you are monitoring and gives you a number of charts out of the box, neatly grouped into multiple reports and filterable by a number of dimensions appropriate for each collected metric (or tags you can specify). As soon as you install the SPM agent SPM will become immediately useful and usable by your whole team.
Yes. You can send your custom metrics, chart them, alert on them, apply on anomaly detection on them, create custom dashboards with them, correlate them with other metrics, events, and logs.
SPM is 4-5 times cheaper than New Relic APM. For more information see SPM vs. New Relic APM. SPM gives you deeper out of the box metric collection and charting, while Datadog requires you to figure out which metrics to collect, how to chart them, build charts and dashboards from scratch, etc. AppDynamics is rich, but very expensive and focused primarily on large enterprises and on premises deployments. Unlike Marvel, SPM is not limited to monitoring Elasticsearch. For more information see SPM vs. Marvel.

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