"On the backend, we use Elasticsearch in conjunction with Logstash and Kibana, so our developers have access to all our logs, and can see what is going on."

"Responding to public health emergencies is all about time. And every minute, every second, every day that goes by where you don’t have visibility on the response is time you lose and it’s lives lost. So, the call center application, the data team, all the people in the responding agencies …

"We were using a security solution that lacked a user interface and the ability to visualize data. This made it extremely difficult to understand data sequences and event timelines, which are essential for threat detection and remediation."

"The Elastic training was excellent, especially the mentors and on-demand and virtual in-person training."

"We definitely appreciate the dedicated support engineer that's assigned to us – it cuts out a lot of wasted time. Even just knowing the name of the person on the other side who's helping you is fantastic. That's a major improvement over different support contracts where you've got to get …

"We are not a search engine shop. We are nonprofit software. Now we can concentrate more on core business and adding features to our applications rather than worrying about our search engine acting up in the middle of the night."

"We found that our mean time to resolution was really slow, but our mean time to blame was very fast."

“With Elastic, we’re helping our internal users observe services and therefore operate them through providing tools for logging, for metrics, and for alerting.”

"With Elastic Observability, we have a much better understanding of systems behavior and accelerated detection of issues. Resolution is also faster and more effective, which helps increase overall operating efficiencies."

"Near real-time was key to us, and Elasticsearch gives us what we need to build that set of features in our solution."

"When [visitors] need to find something very quickly, they can now just search for it. We've gotten great feedback both internally and from citizens externally."

"Not only did we keep our site up-to-date, as the storm began to unfold we saw people searching about street closures. Seeing the search data let the city directly respond to what was going on. On the fly, [the city] built an app to show which streets were flooded."

"Some of our slowest queries with complex filters could take up to 30 seconds. With Elasticsearch, we are at 100 milliseconds and even faster for our more complex searches."

"One of our new developers was able to get up and running with Elasticsearch in a couple of hours and fix a bug."

“Cisco teams used different technologies for enterprise search. The experience was fragmented and information findability was a real problem. There was no one way to find info across the enterprise. Relevancy was bad, and federated search never worked.”