75 posts tagged with "OpenTelemetry"

In the rapidly evolving world of Large Language Models (LLMs), ensuring peak performance and reliability is more critical than ever. This is where the concept of 'LLM Observability' comes into play. It's not just about monitoring outputs; it's about gaining deep insights into the internal workings of these complex systems.

Large Language Models (LLMs) represent a transformative advancement in artificial intelligence, offering a wide range of capabilities for solving problems through sophisticated language understanding and generation.

Are you looking for Grafana alternatives? Then you have come to the right place. Grafana started as a data visualization tool. It slowly evolved into a tool that can take data from multiple data sources for visualization. For observability, Grafana offers the LGTM stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). You need to configure and maintain multiple configurations for a full-stack observability setup.

Using OpenTelemetry Collector, you can collect metrics from Azure monitor and export them to any backend of your choice. Azure Monitor is a powerful service within the Microsoft Azure ecosystem that provides extensive metrics and logging capabilities. Yet the siloed nature of data in such tools can obscure the bigger picture, hindering a holistic view of system health.

Events in Kubernetes are objects that provide insights into the state changes within the Kubernetes cluster. Kubernetes events monitoring is critical to provide real-time insights into the operational state of a Kubernetes cluster. It enables administrators to quickly identify and respond to issues, optimize resource allocation, and ensure the smooth and efficient functioning of their containerized applications.

OpenTelemetry can be used to monitor ECS clusters. In this tutorial, you will install OpenTelemetry Collector to collect ECS metrics and then send the collected data to SigNoz for monitoring and visualization.

Are you looking for Kubernetes monitoring tools? Then you have come to the right place. Kubernetes has grown to become the container orchestration platform of choice. It simplifies managing your containerized workloads. You get the power of automating deployments, scaling resources, and keeping your applications running smoothly. But with great power comes added responsibility. And like any complex system, Kubernetes needs monitoring.

Observability is often defined in the context of three pillars: logs, metrics, and traces. Modern-day cloud-native applications are complex and dynamic. To avoid surprises and performance issues, you need a robust observability stack. But is observability limited to collecting logs, metrics, and traces? How is observability evolving to make our systems more observable?

In this tutorial, you will learn how to collect logs using the Loki receiver in OpenTelemetry Collector to send logs to SigNoz. If you’re using Promtail to collect logs, you can send them to SigNoz instead of Loki via the OpenTelemetry Collector.

For extremely high throughput web applications, it is important to load balance the traffic across multiple servers. However, load balancing the traffic alone is not enough at times. The reverse proxy server that handles the workload needs to be performant, too. In our previous article, we discussed the NGINX reverse proxy server and understood how to monitor it. In this article, we set up monitoring for an even more performant reverse proxy server - HAProxy.

OpenTelemetry is an open-source observability project that provides a set of APIs, SDKs, and tooling for collecting, generating, and exporting telemetry data. It provides instrumentation libraries in all major programming languages. In this article, we will demonstrate the automatic and manual instrumentation of Python applications.