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.
With Elasticsearch, it's easy to hit the ground running. When I built my first Elasticsearch cluster, it was ready for indexing and search within a matter of minutes. And while I was pleasantly surprised at how quickly I was able to deploy it, my mind was already racing towards next steps. But then I remembered I needed to slow down (we all need that reminder sometimes!) and answer a few questions before I got ahead of myself.
Welcome back! In the last blog we set up bidirectional communication between ServiceNow and Elasticsearch. We spent most of our time in ServiceNow, but from here on, we will be working in Elasticsearch and Kibana. By the end of this post, you'll have these two powerful applications working together to make incident management a breeze. Or at least a lot easier than you may be used to!
It's safe to say that It's safe to say that Kubernetes is the de facto standard for orchestrating containers and the applications running in them. As the standard, a variety of managed services and orchestration options are available to choose from. In this blog post, we're going to take a look at running the Elastic Stack on Azure Kubernetes Service (AKS) using Elastic Cloud on Kubernetes (ECK) as the operator.
The Elastic Stack (ELK) has been used for observability and security for many years now, so much so that we now offer the two as out-of-the-box solutions. However, identifying issues and finding the root cause is only part of the process. Often, organizations want to integrate the Elastic Stack into their everyday workflows so they can resolve those issues quickly. This typically involves integrating with some form of ticketing/incident tracking framework.
The aggregations framework has been part of Elasticsearch since version 1.0, and through the years it has seen optimizations, fixes, and even a few overhauls. Since the Elasticsearch 7.0 release, quite a few new aggregations have been added to Elasticsearch like the rare_terms, top_metrics or auto_date_histogram aggregation. In this blog post we will explore a few of those and take a closer look at what they can do for you.
