At Adyen, we use Elasticsearch to power various parts of our payments platform. This includes payment search, monitoring, and log search. Let’s take a look at how we use Elastic for these different use cases and see how we capitalize on the power of Elasticsearch. We recently did a talk about some of our Elasticsearch adventures at an Elastic meetup. You can find a recording here. Before we look into our different use cases, it helps to get a high-level understanding of Adyen’s architectur
King & Wood Mallesons (KWM) is among the world’s most innovative law firms and is represented by 2,400 lawyers in 28 locations across the globe. The international law firm, based in Australia, helps clients flourish in Asian markets by helping them understand and navigate local challenges and by delivering solutions that provide clients with a competitive advantage. The firm believes in taking a partnership approach with clients and in pushing boundaries to connect Asia to the world and the worl
Version 6.8.16 of the Elastic Stack was released today. We recommend you upgrade to this latest version. The 6.8.16 patch contains fixes and small enhancements for the stack. For a full list of changes for each product, please refer to the release notes: 6.8.16 Release Notes
Elasticsearch Kibana Beats Logstash
We recently announced that users can find, deploy, and manage Elasticsearch from within the Azure portal. This new integration provides a simplified onboarding experience, all with the Azure portal and tooling you already know, so you can easily deploy Elastic without having to sign up for an external service or configure billing information. In this blog post, you’ll learn how to create and manage an Elasticsearch resource on Azure as well as how to automate the ingestion of Azure logs and metr
We are happy to announce the general availability of the Logstash 7.13.0 release. This is the latest stable release and is now available for download! Please refer to the release notes for the complete list of features and bug fixes. Elasticsearch data streams support The Elastic Stack is commonly used to analyze time series data like logs and metrics. In Elasticsearch 7.9.0, the data streams feature was introduced, offering a cleaner experience for ingesting, searching, and managing time serie
We’re thrilled to announce the latest release of Elastic Enterprise Search. In our 7.13 release you’ll find exciting enhancements you can use in your workplace, website, and mobile app search experiences. Included are new additions to the already broad content source integrations for Elastic Workplace Search, so you can index and synchronize even more content than ever. Also included are new APIs — and improvements to existing APIs — to give developers and admins powerful new tools for fine-tuni
We are excited to share Elastic Security 7.13, which connects analysts to the information they need to make smart decisions. The release is a major step forward in our support for osquery, streamlining access to host data from across your environment. Threat intelligence is surfaced in new ways and new detection content spots concerning events. Last but not least, the release shares some developments in the endpoint area and support for new data sources. Osquery for everybodyElastic Security 7.1
We are excited to announce the release of Elastic Observability 7.13. An expanded partnership with Microsoft allows seamless integration between Elastic Observability and your Azure workloads, directly from the Azure console, the new Fleet Server paves the way for better scalability and flexibility, new workflows in APM help speed up root-cause analysis, and more. Let's dive in! Expanded Microsoft partnership enables seamless onboarding to Elastic Cloud via a native Azure console integration Th
Kibana 7.13 is now available, bringing new capabilities that give you more flexibility in ad hoc analysis and faster speed in workflows, so you can focus on exploring your data and acting on insights. Highlights include:
Creating, editing, and removing runtime fields in Discover, Kibana Lens, and index patterns via the Kibana runtime fields editor
The general availability of Elastic Maps Server and supervised machine learning
Starting with Kibana Lens as the recommended visualization for ad 
We’re pleased to announce Elasticsearch 7.13.0, based on Apache Lucene 8.8.2. Version 7.13 is the latest stable release of Elasticsearch and is now available for deployment via Elasticsearch Service on Elastic Cloud or via download for use in your own environment(s). Ready to roll up your sleeves and get started? We have the links you need:
Start Elasticsearch on Elastic Cloud
Download Elasticsearch
Elasticsearch 7.13.0 release notes
Elasticsearch 7.13.0 breaking changesSearch petaby