Hey there, Cribl fans! We hope you’re ready to move into the second half of summer with a splash because we have some exciting news to share. Our latest product launch is all about enabling teams and multiple users to work together seamlessly while focusing on security, access control, and providing valuable data insights on demand. Who says you can’t have it all? Let’s dive right into the details!

Elastic APM supports OpenTelemetry on multiple levels. One easy-to understand scenario, which we previously blogged about, is the direct OpenTelemetry Protocol (OTLP) support in APM Server. This means that you can connect any OpenTelemetry agent to an Elastic APM Server and the APM Server will happily take that data, ingest it into Elasticsearch®, and you can view that OpenTelemetry data in the APM app in Kibana®.

Red Hat is a Linux distribution known for its stability, security, and enterprise-grade features. Whether you’re running Red Hat on bare metal servers or virtual machines, monitoring the performance of your infrastructure is essential. In this article, we’ll explore the top performance monitoring tools for Red Hat servers. We’ll compare their pros, cons, and pricing to help you make an informed decision.

Elasticsearch® recently released time series data streams for metrics. This not only provides better metrics support in Elastic Observability, but it also helps reduce storage costs. We discussed this in a previous blog. In this blog, we dive into how to enable and use time series data streams by reviewing what a time series metrics document is and the mapping used for enabling time series. In particular, we will showcase this by using Elastic Observability’s Nginx integration.

Many of us remember the public service announcements asking parents if they knew where their kids were at night. They were ominous and a little alarming. Asking yourself the same question about your data can be equally as scary, but Cribl Edge can help.

We’re thrilled to announce new feature updates for Logz.io’s Kubernetes 360 to provide deeper visibility and additional troubleshooting capabilities for your Kubernetes environment.

In the face of growing security threats and incidents, businesses must prioritize their ability to detect, investigate, and respond effectively. Timely incident response is crucial for maintaining the security and integrity of systems and data. Among the essential tools in the incident response arsenal, log monitoring stands out as a critical component. By closely analyzing logs, organizations gain valuable insights into system events, user activities, and network traffic.