The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
What do mall food courts and Honeycomb have in common? We both love sampling! Not only do we recommend it to many of our customers, we do it ourselves. But once Refinery (our tail-based sampling proxy) is set up, what comes next? Since sampling is inherently lossy, it’s good to be sure the organization’s most important measurements aren’t negatively affected.
Combining these two platforms provides an efficient, scalable and customizable tool for real-time data monitoring and alerting. In the data analytics and visualization world, it is crucial to have a system that not only effectively monitors your data, but can also alert you about any potential discrepancies or anomalies that may arise. One powerful tool set that enables you to monitor and alert on time series data is Grafana and InfluxDB Cloud Serverless.
Although Icinga DB has been around for some time and many customers and users are already using it, there may still be some who are wondering how to upgrade/migrate to Icinga DB. This post will briefly explain the components of the Icinga DB and how to install them in a reasonable order. Note that it is assumed that all components are installed on the Icinga primary node(s) using a MySQL/MariaDB database.
Have you ever wanted to test out Grafana Cloud but don’t have any available data to monitor? Well, have no fear! With the Grafana JSON API plugin, you can query publicly available JSON endpoints. The JSON API is a wonderful way to start using Grafana Cloud. You can quickly see data in action, and there are a multitude of things you can build, analyze, and monitor using the JSON API.
Grafana Incident, the powerful incident response tool that is part of the Grafana IRM suite in Grafana Cloud, comes with a range of integrations out of the box, including Zoom and Google Meet spaces, GitHub and JIRA issues, and even a Google Doc template for post-incident review documents. One of the key features in Grafana Incident is the chatbot integration, which previously only supported Slack.
Production bugs slow down velocity and often affect the complete trajectory of your release roadmap. It helps if you have a robust error tracking setup to rely on. In this article, we'll look at how to make tracking errors in your Node.js application more convenient, automated, and safe. Let's begin!
RabbitMQ is an open-source message broker software that facilitates communication and data exchange between various components of distributed applications. Acting as an intermediary, RabbitMQ enables different software systems, services, and devices to exchange information in a seamless and efficient manner. It follows the Advanced Message Queuing Protocol (AMQP), a standardized communication protocol designed for robust and scalable messaging.
Artificial intelligence is certainly a hot topic right now, but what does it mean for the networking industry? In this post, Phil Gervasi looks at the role of AI and LLM in networking and separates the hype from the reality.
Microservices architecture has become increasingly popular in modern software development due to its scalability, resilience, and flexibility. However, with the benefits of microservices come the challenges of debugging and monitoring these distributed systems. Using the Istio service mesh, OpenTelemetry distributed tracing, and Apica’s Kubernetes-native observability platform, developers can easily collect and visualize performance data in real-time to identify and fix issues quickly.
