When building a full-text search experience such as an FAQ search or Wiki search, there are a number of ways to tackle the challenge using the Elasticsearch Query DSL. For full-text search there’s a relatively long list of possible query types to use, ranging from the simplest match query up to the powerful intervals query.
Kubernetes is a popular container orchestration system at the heart of the Cloud Native Computing Foundation projects. It automates the deployment, lifecycle, and operations of containers, containerized applications, and "pods," which are groups of one or more containers. The platform itself, along with each of these workloads, may generate event data. There are different kinds of data associated with these processes.
Let’s start off with some good news: since 7.9.0, your Elastic Workplace Search deployment has been collecting and logging product usage data for you and your team. Usage data like, what your users are searching for, what links they're actually clicking on, and which searches are falling short. And better yet, in a future release we’ll be putting a prebuilt Workplace Search analytics dashboard at your fingertips in Kibana, one of the most powerful visualization tools available.
We're excited to announce that indices created in Elasticsearch 7.10 will be smaller. Bigger isn't always better, and our internal benchmarks reported space reductions up to 10%. This may not seem like much for small use cases, but it's huge for teams handling (and paying for cloud storage of) petabytes of data.
Managing hundreds or thousands of containers has quickly become the standard for many organizations. With infrastructures growing more complex, we want every user to find value with Elastic (regardless of where or how they operate). We created Elastic Cloud on Kubernetes (ECK) — the official Operator — to simplify setup, upgrades, scaling, and more for running Elasticsearch and Kibana on Kubernetes.
With the release of Kibana 7.10, dashboards have gained a powerful new feature: URL drilldowns that let you instantly click into any predefined webpage from a visual in a dashboard. Now you can build Kibana dashboards that provide data-driven insights and allow direct actionable paths to the systems you use every day. To learn more about URL drilldowns, be sure to join us for the upcoming webinar, How to build dashboards that drive insight and action in Kibana.
We are pleased to announce the general availability of Elastic 7.10. This release brings a broad set of new capabilities to our Elastic Enterprise Search, Observability, and Security solutions, which are built on the Elastic Stack — Elasticsearch, Kibana, Beats, and Logstash. 7.10 delivers significant new capabilities to market, transforming the way in which our customers and users can trade off cost, performance, and depth of data with searchable snapshots.
Elastic on Google Cloud gives you the power of Elastic Enterprise Search, Elastic Observability, Elastic Security as well as the Elastic Stack so you can quickly and easily search your environment for information, analyze data to observe insights, and protect your technology investments. Elastic Cloud lets you deploy your way, whether as a managed service, or with orchestration tools you manage in your Google Cloud environment.
Kibana is for everyone. As the creators of the Elastic Stack, we get a lot of feedback when chatting with our users from all corners of the world during ElasticON events, in GitHub and forums, and while helping folks resolve their support cases. One of the things we've heard in the past is that Kibana is difficult to use. And we've listened to our community!
Whether you consume App Search from Elastic or from Swiftype, you’re getting a set of robust APIs and unprecedented relevance controls to deliver amazing search experiences. But what if you could have that same powerful set of search tools, only better, faster, more flexible, and still built on the powerful, scalable foundation of Elasticsearch? We’d like to invite you to migrate your Swiftype App Search deployment over to App Search on Elastic Cloud.
Elastic on Azure gives you the power of Elastic Enterprise Search, Elastic Observability, Elastic Security as well as the Elastic Stack. You can quickly and easily search your environment for information, analyze data to observe insights, and protect your technology investment. Elastic Cloud lets you deploy your way, whether as a managed service, or with orchestration tools you manage in Azure. You can easily get started with Elastic Cloud on Azure through our listing page on the Azure Marketplace.
Welcome back once again! This is the third and final part of this series on using the Elastic Stack with ServiceNow for incident management. In the first blog, we introduced the project and set up ServiceNow so changes to an incident are automatically pushed back to Elasticsearch. In the second blog, we implemented the logic to glue ServiceNow and Elasticsearch together through alerts and transforms as well as some general Elasticsearch configuration.
