Operations | Monitoring | ITSM | DevOps | Cloud

As our software complexity increases, so does our telemetry—and as our telemetry increases, it needs more and more tweaking en route to its final destination. You’ve likely needed to change an attribute, parse a log body, or touch up a metric before it landed in your backend of choice. At Honeycomb, we think the OpenTelemetry Collector is the perfect tool to handle data transformation in flight. The Collector can receive data, process it, and then export it wherever it needs to go.

Hydration failed because the initial ui does not match what was rendered on the server. Don’t you just love hate it when that happens?

In the fast-paced era of modern communications, staying on top of network operations is critical to ensuring optimal performance and minimizing downtimes. While networks become increasingly complex, just keeping the lights on and reacting to issues as they arise is no longer enough. Today’s network management demands not only real-time monitoring but also the ability to derive insights from comprehensive reports to provide an accurate picture of health, performance, and configuration.

By now, you should be no stranger to Autonomic IT. The full realization of AIOps, combining AI, data, and automation to deliver a self-healing and self-optimizing IT infrastructure that operates autonomously, continuously monitoring and optimizing technology investments, and freeing up IT resources for innovation is on the horizon. In our first blog, we discussed Phase 1 of the Autonomic IT journey: Siloed IT.

As organizations modernize their applications and deliver more complex, cloud-based services, the traditional boundaries between DevOps, SecOps, and ITOps are disappearing. Seamless collaboration between these teams, often referred to as DevSecOps, has become essential for efficiently addressing both reliability and security challenges.

In today’s complex cloud environments, traditional network visibility tools fail to provide the necessary context to understand and troubleshoot application performance issues. In this post, we delve into how network observability bridges this gap by combining diverse telemetry data and enriching it with contextual information.

As your data continues to grow and time remains critical, making data-driven decisions has never been more important (and let’s face it, that’s no small feat). Luckily, our new Scheduled Reporting feature is here to help—automatically delivering your logs, metrics, and tracing data in visually-rich custom dashboards, exactly when you need them, directly to the inboxes of your chosen recipients.

In today’s fast-paced, digitally-driven business world, cloud computing has become the foundation of scalable and flexible IT infrastructure. As organizations transition to the cloud to gain agility, scalability, and cost savings, it becomes crucial to monitor cloud environments rigorously. This ensures performance, security, and reliability. That’s why having a good cloud monitoring system, like Icinga, is critical for cloud operations.

This guide explains the key aspects of the OpenTelemetry Collector, including its features, use cases, and practical tips for managing telemetry data effectively.

Log analysis tools are essential for organizations of all sizes. This guide provides an in-depth analysis of the top 10 log analysis tools in 2024. It compares their features, pricing models, and integration capabilities to assist you in making an informed decision based on your specific requirements.