Elastic Observability

U.S.-Based Telco Migrates to Elastic from Splunk for Superior and Cost-Efficient Observability

Reduced MTTK leads to decreased downtime

MTTK for website errors, retail outages, and sales and marketing requests reduced to seconds or minutes with Elastic from hours or days under Splunk.

Streamlined strategic decision making

With fresh insights into sales, outages, and customer product use, staff and executives can make quick strategic decisions to improve customer service and bolster sales.

Present success, future prepared

Future proofing with Elastic as telecom couldn't scale with Splunk ingestion pricing. Before migrating to Elastic, the telecom had scrubbed an observability project because Splunk was too costly.

Company Overview

As a telecommunications provider offering wireless and Internet service to millions of customers, real-time visibility into the business is vital to remain competitive in this increasingly congested sector.

Why Elastic instead of Splunk?

With more than 100 data channels to monitor, a prolonged breakdown in any one of them can dramatically disrupt operations, hinder sales, and anger customers.

  • 90-day return on investment and ~$400,000 immediate reduction in server costs. Clustering and replication took minutes to set up because of the distributed nature of the Elastic Stack, which is easier than Splunk to automate and monitor at scale due to Elastic's comprehensive APIs.
  • 300% increase in phone sales. The telecom can now ensure network, and customer health while improving response time to errors that do occur to retain customers and generate new ones — all in a more cost-efficient manner than with Splunk and at scale.
  • Vastly improved retail store phone software upgrade performance. Elastic's open source platform provided the telecom with Kibana templates for data visualizations and, unlike Splunk's closed source proprietary solution, Elastic allows for customized dashboards, reporting as well as the ability to integrate with countless other open- and closed-source applications.