The Elastic APM K8s Attacher lets the Elastic APM agent auto-attach to the application in your pods by adding just one annotation to your deployment The Elastic® APM K8s Attacher allows auto-installation of Elastic APM application agents (e.g., the Elastic APM Java agent) into applications running in your Kubernetes clusters. The mechanism uses a mutating webhook, which is a standard Kubernetes component, but you don’t need to know all the details to use the Attacher.

This blog explores a possible approach to collecting and formatting OpenShift Container Platform logs and audit logs with Red Hat OpenShift Logging Operator. We recommend using Elastic® Agent for the best possible experience! We will also show how to format the logs to Elastic Common Schema (ECS) for the best experience viewing, searching, and visualizing your logs. All examples in this blog are based on OpenShift 4.14.

Audit finds that there are 1,200+ government AI use cases in development and in use today.

Elastic is transforming the log experience to meet the needs of modern workflows In the absence of other observability signals, generally everything in your infrastructure (hardware, software, and services) emits log lines. Logs, however, are often structured at a developer’s whim and, first and foremost, serve the developer’s needs (e.g., debugging).

The European Union’s new legislation is the first of its kind — and has global reach On December 8, 2023, the European Union made a significant step in digital governance by introducing the first set of comprehensive artificial intelligence (AI) regulations. This legislation, poised for a European Parliament vote by early 2024, is first out of the gate in regulating AI.

Recently, I sat down with Adelaide O’Brien, research vice president at IDC Government Insights, to discuss the current and future state of generative AI in the public sector worldwide. The full conversation is available to view on demand, but I also wanted to highlight some of the takeaways from the discussion.

Elastic’s innovative investments to support an open ecosystem and a simpler developer experience In this blog, we want to share the investments that Elastic® is making to simplify your experience as you build AI applications. We know that developers have to stay nimble in today’s fast-evolving AI environment. Yet, common challenges make building generative AI applications needlessly rigid and complicated. To name just a few.

Developers and SREs choose to host their applications on Google Cloud Platform (GCP) for its reliability, speed, and ease of use. On Google Cloud, development teams are finding additional value in migrating to Kubernetes on GKE, leveraging the latest serverless options like Cloud Run, and improving traditional, tiered applications with managed services. Elastic Observability offers 16 out-of-the-box integrations for Google Cloud services with more on the way.

Generative AI is revolutionizing the way businesses operate, from improving operational resilience to mitigating security risks and enhancing customer experiences. In a recent roundup of c-suite insights from three IT leaders — Matt Minetola, CIO, Mandy Andress, CISO, and Rick Laner, chief customer officer — we gain a comprehensive understanding of how generative AI is being used to improve business outcomes across organizations.

We’re excited to share a recent enhancement made to the Elastic Support Hub: it’s now powered by semantic search! But before we go into more detail on the changes we made to the Elastic® Support Hub and its impact on our customers, it's important that we take a moment to explain the concept of semantic search. At its core, semantic search is a method of search that uses AI to return more relevant search results. Take a look at this quick video explaining the concept.