Elastic, Open-Source, Ephemeral

A decade ago, monitoring needed little configuration throughout the life of your servers. But today’s elastic services undergo frequent population changes, and the life expectancy of modern infrastructure can be an hour or less. Can you afford to configure each time you update a container, add service capacity, or start a new job?

Monitoring for Elastic, Open-Source, Ephemeral Infrastructure

Build Apps, Not Monitoring 

Automatically configure to your elastic environment. From deployment to scale, your cloud monitoring adjusts to each population change with no annoying maintenance.

  • Discover new components as they come online and automatically add them to relevant dashboards and alerts
  • Build dynamic alerts that adjust to your environment
  • Aggregate all the metrics that matter to your project, service, or team with custom dimensions 
  • Eliminate overhead cost and focus engineering resources on improving your app, not troubleshooting a metrics system

 

Sum Ratio StDev Animation

 

Yelp: Monitoring

Trusted by Leaders in the Cloud

“We saved several engineer-years worth of work. [Building a cloud monitoring platform] is not where we wanted to spend development resources.”

Sam Eaton  
VP of Engineering for Ops   

Sam Eaton on Monitoring

Cloud-Ready Monitoring 

Monitoring-as-a-service removes the constraints of on-prem time series databases. Scale up and down as you need. For the first time, monitoring flexibility matches your cloud infrastructure.

  • Visualize all your cloud monitoring in a single pane of glass 
  • Expand data sources, use cases, and consumers limitlessly with no storage barrier and no impact to UI performance
  • Add unlimited granularity without fear of falling over
  • Avoid the pain of deploying and troubleshooting a time series database without sacrificing security and admin
  • Take advantage of new features as soon as they’re delivered

Monitoring Dashboard

 

Cloud Monitoring Made Modern

A new approach to cloud monitoring brings together all your time series data to tell the full story of your infrastructure’s performance in production. There are four key factors to look for:

  • Analytics help aggregate time series data for a better way to explore what’s going on across a cloud infrastructure
  • Ease of Use in the form of built-in dashboards and an intuitive UI mean anyone in your organization can use it
  • Speed to Insight via stream processing shortens the time from data to detection for your cloud environment
  • Scale allows you to send as much data as you want, when you want to focus on timely action, not TSDB maintenance

Modernize Your Cloud Monitoring

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