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"Elasticsearch is a means of delivering on the promise of providing better, more professional tools to scientists. We are building this environment where people can store, manage, and share all of this content, but in order for them to want to use OSF, it must be a desirable environment to …
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"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."
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“To put it simply, we didn’t have a single tool or platform to manage customers’ assets and their entitlements. Without full visibility into what the customer owns and what they are using, organizations could face significant legal, financial, and operational issues.”
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"Merchants used to call us when the system was running slowly, but we rarely knew if it was a local network issue or something more serious. We were only expected to fix it."
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"We use Elastic Observability to monitor most of our system architecture, including our CRP and ERP platforms. The data is collected and organized in the Elasticsearch database, and we use Kibana to visualize trends and intervene when they reach a critical threshold."
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“CDL provides business critical systems, and our clients rely on us to facilitate their business transactions. We have service agreements in place, and we are committed to ensuring ‘five nines’ availability (99.999%). The use of the Elastic Stack, in particular Canvas, has provided Service Management with a real time business …
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“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.”
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"Elastic is a feature-rich environment for creating a variety of search solutions. The ability to combine semantic search aspects into solutions is key for search evolution and Elastic is well-positioned for it."
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"Many of our external and internal facing search workloads are built on top of Elasticsearch. The resilience and scalability of Elasticsearch will ensure their strong foundation for years to come with a manageable TOC. The native AI capabilities released recently by Elastic are also impressive. It provides opportunities for us …
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"Elasticsearch has been evolutionary for our business. We’ve saved hundreds of hours of development time. Lexer can easily mine massive volumes of data in real-time, and using Elasticsearch’s aggregations has helped us to build a platform that provides critical predictive insights."
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"Our customers rave about Insights and, for us, it is a key step towards designing solutions for broader use cases uses. We'll be fuelling even more data into Elasticsearch to achieve this."
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"Brands can create an API token and then use Chat Leap's No-Code drag and drop interface to create a chatbot. It's super intuitive—bot admins don't need any special training or technical expertise."
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"Building this kind of system with a relational database is a no-go. You couldn't get the same aggregation, especially with the ultra-low latencies we need to support our clients. With Elastic we've been able to bake a fully-fledged analytics platform into our product that compares with the leading dashboards on …
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"Elastic handles the heavy lifting of search functionality on our platforms so that we can focus on delivering a superior knowledge experience."
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"AutoScout24's experience with Elasticsearch support is great. Our issues were quickly solved by very helpful Elasticsearch contacts, and the response time is short."