"I wanted to stay on the 'real' version of Elastic for several reasons, including compatibility, management tools, documentation, access to community support, and planned new features."

“All of these things need to be secure and they need to work every day, every night, all of the year.”

"We would raise questions around whether we should create a cluster per data center, whether we could create cross-data center clusters, checking what features were or were not backward-compatible before upgrading if memory utilization was increasing or we saw some issues that we monitored in our logs, we would work …

"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."

"The sheer volume of data made identifying the root cause of processing issues like searching for a needle in a haystack. The situation escalated until it severely impacted processing times, leading to backlogs of hours."

“To be secure, to be also operational in the future, we have to handle that volume."

“As we get more and more customers, it's going to get really hard to manage because you always have to grow your own team of engineers at the same rate as you get customers because you get so many more clusters — there's so much manual configuration. And that’s not …

"With Elasticsearch, we are able to provide a fast and rich search experience, empowering users to explore the collection."

“There were pockets where logging was managed extremely well, but there was no consistent approach, making it impossible to unlock the value in our data.”

“Elastic is more like a partner than a vendor. We can bounce ideas around with them, and they always listen carefully to our objectives before they offer any guidance. It gives us confidence that we can help the Met Office to deliver ever more innovative and reliable services into the …

"Our strategic objective is to ingest and normalize logs from all our environments and get a complete picture of the risks facing the enterprise. This includes logs from endpoints, applications, and all security controls."

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

"At Zurich Insurance, we want to exceed customer expectations and support their increasingly digital lifestyles. That is why we moved to Elastic Cloud on Kubernetes. With Elastic, we can stay focused on customer needs, drive innovation, and simplify our IT environment."

"By consolidating customer data and making it easily searchable through Elasticsearch, Zurich Insurance claims agents get accurate information in real time and respond to customer inquiries faster. That saves anywhere from a few seconds to a few minutes on each call — which can really add up and make a …

"Moving to Elastic Cloud on Kubernetes running on Microsoft Azure enables us to seek new use cases for the business, including application performance monitoring (APM), security information and event management (SIEM), and machine learning for anomaly detection."