Elastic Case Study

Collecting approximately 5.6 billion events every 15 minutes, from over 6.5 million patients, isn’t easy - but as the company leading the way in bringing together healthcare payers, patients, and providers Opala is making it happen securely and efficiently. 

Opala’s backend systems ran the gamut from Datadog to CrowdStrike and on to SumoLogic and AWS CloudTrail. With Industrial Resolution’s guidance they were able to replace all of those with the Elastic stack allowing for far greater observability, security, and deployment times

"Industrial Resolution acts as an extension of our team. They don't just complete tasks; they collaborate with us to achieve the results we need. They even worked with our developers to set up a mini CICD process, making everything faster and more efficient. That's huge."

Joe Ben Slivka, Director, Cloud Infrastructure and Cybersecurity at Opala

Here’s how we made it happen for them:

Elastic Services & Knowledge Required:

  • Consolidation of data

    • Bring the data being managed by five different services into Elastic for easier monitoring and better visibility

    • Remove the need to manually coordinate data across multiple services and environments by migrating everything onto a centrally located machine

  • Reducing incidents and downtime

    • Increase observability of cases to better monitor system stability

    • Move all critical downtime alerting via dashboards to be handled in one place

What remains?

Opala is looking towards the future and integration of three more of Elastic’s features, one of which is Elastic Observability Application Performance Monitoring (APM) so that developers can work more

Results:

  • P1 incidents have dropped by 88%

  • Mean time to resolution now has solutions within minutes: a 90% reduction in time 

  • Uptime has been increased to the coveted 99.99%

  • Threat hunts now have full historical data context within 15 minutes

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