Today’s cars are computers on wheels, and they’re powered by software as much as they are by batteries or gasoline. When it comes to building software for Audi, Volskwagen, Porsche, Traton, and other brands, that’s a task assigned to Audi Business Innovation (ABI). “Developers need the right tools in their hands that are easy to use,” says Stefan Teubner, an ABI team leader and DevOps engineer.
We created the Elastic Contributor Program to encourage knowledge sharing in our community and to recognize and reward the hard work of our awesome contributors. There are six different contribution types accepted in the program: event organization, presentation, written content, video, translation, and code. In this blog post, we’ll cover how to contribute code in the many free and open projects that Elastic maintains.
Increasingly, we are seeing on-prem workloads being moved onto the cloud. Elasticsearch has been around for many years with our users and customers typically managing it themselves on-prem. Elasticsearch Service on Elastic Cloud — our managed Elasticsearch service that runs on Amazon Web Services (AWS), Google Cloud, and Microsoft Azure across many different regions, is the best way to consume the Elastic Stack and our solutions for enterprise search, observability, and security.
With Elastic 7.9, the Elastic Agent and Fleet were released, along with a new way to structure indices and data streams in Elasticsearch for time series data. In this blog post, we'll give an overview of the Elastic data stream naming scheme and how it works. This is the first in a series of blog posts around the Elastic data stream naming scheme.
Many users need their Elasticsearch clusters to always be available. And a lot of these same users also want to upgrade their Elasticsearch environment when a new version is released, so they can take advantage of all the new features and functionality. The result is that admins end up upgrading the Elasticsearch engine while it is operating at full capacity in production. Sound too good to be true?
The telecommunications world is in the middle of its fourth industrial revolution. Organisations are trying to bring out as many new services as possible to monetise their infrastructure, but despite their modern approach, they still own and maintain legacy — and most importantly — multi-vendor infrastructures. Due to complex organisational structures and decentralised management systems, most responsibilities are divided between multiple departments.
Signed search keys in Elastic App Search give you more control over a user's search experience. You can tailor the experience to show results you know are more relevant to the specific user while also controlling what data the user can see and search over.
It is with great excitement that we announce our first-ever supervised ML and security integration! Today, we are releasing a supervised ML solution package to detect domain generation algorithm (DGA) activity in your network data. In addition to a fully trained detection model, our release contains ingest pipeline configurations, anomaly detection jobs, and detection rules that will make your journey from setup to DGA detection smooth and easy.
We’re excited to share that the official Elastic Cloud Terraform provider is now available in beta. Operations and SRE teams often rely on Terraform to safely manage production-related infrastructure using methodologies such as infrastructure as code, which allows you to apply peer-reviewed infrastructure changes in an automated and controlled fashion. The provider works with Elasticsearch Service on Elastic Cloud, Elastic Cloud Enterprise, and Elasticsearch Service Private environments.
We are delighted to announce that Elastic Cloud on Kubernetes (ECK), the official Elastic Operator, is now a Red Hat OpenShift Certified Operator. The operator helps make it easier to deploy and automate Elasticsearch, Kibana, APM Server, Beats, and Enterprise Search in your OpenShift environment.
