Operations | Monitoring | ITSM | DevOps | Cloud

LLM-powered agents are reshaping software, but when they fail, troubleshooting is guesswork. Lumigo’s new AI Agent Observability, now in beta, gives you visibility into the entire lifecycle of your agents, from prompt to response to internal decision logic. Built for modern AI workloads, this feature is designed to help engineers monitor, debug, and optimize agents running on platforms like OpenAI, Anthropic, and open-source models.

When we talk to new Honeycomb users, a few things stand out as sounding downright magical. Sometimes we’ll hear, “Wow, is that a new feature?” and we’ll say that no, it’s been like that for years. Clearly we need to get the word out! This is the first installment of a blog series I’ll be writing, covering areas of Honeycomb that elicit reactions of awe and disbelief from new users.

Today, I’ll be covering how AWS tags can help you keep track of and monitor your AWS billing costs with the granularity and depth needed to reduce and optimize your AWS costs.

‍ We're not witnessing the end of observability, we're witnessing its evolution into something far more powerful. The observability industry is having its Moneyball moment. Just like Billy Beane revolutionized baseball by using data analytics to compete with teams that had vastly larger budgets, observability is undergoing a fundamental transformation.

Elastic is a go-to choice for organizations that want a powerful, flexible search and analytics engine without the cost overhead of traditional SIEM platforms. With its open-source foundation and customizable architecture, the Elastic (ELK) Stack—Elasticsearch, Logstash, and Kibana—has become a cornerstone for many modern observability and security workflows.

The Kubernetes platform is the standard for orchestrating containerized applications. It’s ideal for large applications running on distributed instances. However, monitoring Kubernetes infrastructure can be notoriously challenging. This guide will cover Kubernetes monitoring in more detail, including what metrics to track to improve visibility and control over your K8s containers, apps, microservices, etc.

The OpenTelemetry Collector is a stand-alone service that acts as a powerful, vendor-neutral pipeline for your telemetry data. It can receive, process, and export logs, metrics, and traces, giving you full control over your observability data before it reaches a backend. This guide will provide a comprehensive overview of the OpenTelemetry Collector, its architecture, deployment patterns, and how to configure it for production use.

As a Citrix consultant, not every issue I troubleshoot is directly tied to Citrix, but many of them dramatically impact the end-user experience. This is one of those cases. A customer had begun testing Windows Server 2025 as Multi-Session hosts in their environment. The new servers were domain-joined and fully patched, and they expected a smooth experience with Office 365, Entra ID–backed apps, and cloud-based authentication. Everything had worked flawlessly on Server 2022.

The aspirational target state for a cognitive system is to “take responsibility” for a domain (e.g., an autonomous car). To reach that level of sophistication, the system must achieve high levels of maturity simultaneously along two dimensions: Reasoning ability and Automation ability.