This is the third and final post in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the first and second posts, you can find them here and here.

In technology, having “modern” capabilities is standard. Staying ahead of the curve is critical, and keeping outdated technology or processes going can be a recipe for disaster in a complex, ever-changing landscape. Ensuring the smooth functioning and performance of software systems is paramount. This is where modern observability—a sophisticated approach to monitoring and understanding the inner workings of applications and infrastructure—is required.

OpenTelemetry (OTel) is an open-source framework designed to standardize and automate telemetry data collection, enabling you to collect, process, and distribute telemetry data from your system across vendors. Telemetry data is traditionally in disparate formats, and OTel serves as a universal standard to support data management and portability.

This guide offers a deep dive into server uptime monitoring, focusing on the strategies and tools essential for seasoned IT professionals to implement. We’ll explore advanced metrics, fine-tune the deployment of tools like Heartbeat, and dissect integration practices with the ELK stack. Designed for technical leaders who manage complex infrastructures, this guide aims to enhance your methodologies in maintaining high availability and optimizing operational performance across your server ecosystems.

With the 4.6 release, Cribl.Cloud Enterprise users now have the opportunity to opt-in to a new cloud experience. As a deeply customer-centric company, we listened to your feedback, and we heard you! We are making our user experience efficient, secure, and flexible. As we work to refine this new experience, we invite you to partner with us and share your input to influence this transformation as it makes its way across the entire Cribl suite!

This is the second in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the first and last posts, you can find it here. In the dynamic world of managing observability and telemetry data, pricing models for tools and platforms are showing their age, creating a significant disconnect between vendors and the IT and security teams they serve.

As Elastic continues its commitment to OpenTelemetry (OTel), we are excited to announce the Elastic distribution of the OTel Java Agent. In this blog post, we will explore the rationale behind our unique distribution, detailing the powerful additional features it brings to the table. We will provide an overview of how these enhancements can be utilized with our distribution, the standard OTel SDK, or the vanilla OTel Java agent.

The main objective of the ELK (Elasticsearch, Logstash, and Kibana) is to aggregate logs. However, with the increased usage of ELK and Kubernetes as a pairing the solution can go beyond the aggregation of standard logs and include monitoring and analysis of Kubernetes telemetry data. Therefore, more users are looking at deploying the ELK stack on Kubernetes. Yet, deploying the ELK stack on Kubernetes can be a complex task but with the assistance of Helm charts, the process is much simpler.

Effective log management is a fundamental aspect of maintaining and troubleshooting today's complex systems and applications. The sheer volume of data generated by various software and hardware components can make it challenging to identify and resolve issues in a timely manner. Open-source log management tools offer a cost-efficient and customizable approach for collecting, analyzing, and visualizing log data.

Modern-day software systems emit millions of log lines per minute. Cloud computing and containerization have made it easy to have distributed systems. Distributed systems emit logs from multiple sources. While developers have always used logs to debug stand-alone applications, centralized logging solves the challenges of modern-day distributed software systems.