The previous post laid out the basic idea of instrumentation and how OpenTelemetry’s auto-instrumentation can get teams started. However, you can’t rely only on auto-instrumentation. This post will discuss the limitations in more detail and how a CoPE can help teams overcome them.

Anthropic is an AI research and development company focused on building reliable and safe artificial intelligence systems. Their flagship product is Claude, an advanced language model and conversational AI assistant known for its strong capabilities in natural language processing, reasoning, and task completion. Anthropic places a particular emphasis on AI safety and ethics, and its models and APIs are used by organizations across various industries to build powerful, safe, and performant AI applications.

Elastic Observability 8.15 announces several key capabilities: New and enhanced native OpenTelemetry capabilities: Elastic AI Assistant enhancements: Large language model (LLM) observability for Azure OpenAI: Elastic Observability now provides deep visibility on the usage of the Azure OpenAI Service. The integration includes an out-of-the-box dashboard that summarizes the most relevant aspects of the service usage, including request and error rates, token usage, and chat completion latency.

The cloud environment has generated an unprecedented volume of data, making it increasingly difficult for enterprises to manage. With multiple SaaS and cloud-based applications in play, differentiating which data needs processing for analysis versus storage for regulatory compliance is a significant challenge. The growing number of data sources only complicates this further. So, getting clarity and control over this chaos is the goal, without having to overhaul your entire system.

While investigating some issues users raised around the OpenTelemetry Collector running in AKS, I found a few nuances that are worth noting. In this article, I'll go over some changes you have to implement in your values.yaml to make it work for you.

Evolution of distributed systems and microservices architectures has increased the complexity of modern IT infrastructures. This complexity demands robust observability solutions to ensure optimal system performance, rapid incident response, and informed decision-making. This comprehensive guide explores the top observability Tools in 2024, detailing their features, strengths, and potential drawbacks to help organizations make informed choices in their observability strategies.

We’re excited to announce the release of Coroot v1.4! Along with various UI improvements, this update brings a new feature: network traffic monitoring. Now, you can easily see how much data is being transferred between your applications and, more importantly, how much it costs. Let’s dive into the details. In this post, we’ll explore the enhancements and new features included in this release.