Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Observabilty for complex systems and related technologies.

Visually identify observability gaps with Cloudcraft in Datadog

Modern cloud environments are highly complex and dynamic, with critical services relying on large numbers of ephemeral resources. Ensuring observability coverage across this landscape is essential for troubleshooting, maintaining reliability, optimizing performance, and enforcing security standards. But as environments grow more elaborate and their ownership more dispersed, tracking observability coverage becomes increasingly challenging.

Visualize Logs Alongside Metrics: Complete Observability Elasticsearch Performance

Elasticsearch is a distributed search and analytics engine that powers everything from log management platforms to e-commerce search bars. It excels at indexing and retrieving large volumes of data quickly, but like any complex system it can slow down under heavy load or inefficient queries.

Introducing Honeycomb Intelligence Anomaly Detection

Modern teams face a persistent challenge: knowing when something goes wrong before their customers do. With architectures sprawling across dozens or hundreds of services, creating comprehensive alerting becomes an overwhelming task. You're left playing whack-a-mole with manual alert configurations, often missing critical issues or drowning in false positives. Today, we're excited to announce our solution to this challenge: Anomaly Detection (currently in alpha), Honeycomb's proactive approach to understanding and acting on service health.

Honeycomb MCP Is Now In GA With Support for BubbleUp, Heatmaps, and Histograms

If you’ve been following my public journey with LLMs this year, it probably won’t surprise you to learn that this blog post is an announcement about the general availability of Honeycomb’s hosted MCP server. I want to share a few updates about what’s new in the GA release, discuss some interesting learnings from building it, and share examples of how we’re using MCP internally. First: if you're still in the dark about MCP and AI agents, go read the earlier blogs I linked.

Observability and Monitoring Governance (Part 1 of 4)

In contrast to the many flavors of governance used for IT, such as data governance, audit and compliance, and governance and security, IT monitoring governance lacks a definition in many organizations. This is true even as teams have decades of experience monitoring the health, performance, and availability of applications, infrastructures, networks, and user experience. Good monitoring governance “just sort of happens—naturally, organically.” Not exactly!

Introducing Honeycomb Intelligence MCP Server - Now GA!

In the months since we launched our public beta, we’ve been hard at work making Honeycomb MCP more useful and capable for agents and human operators alike. Our goal with this project has been, from the start, to allow AI to engage in the same kind of investigatory loops that we guide users towards. Many of the new features are designed expressly with this in mind, the most exciting of which is BubbleUp, now available in.

Observability Journey Panel - Dell x TekStream

Join Dell Technologies, TekStream Solutions, and Grafana Labs for a candid panel on scalining observability. Learn how enterprise teams scale observability, balance centralized vs. decentralized models, and accelerate adoption. The panel explores challenges with culture, governance, tool sprawl, and how AI is reshaping monitoring and incident response.

Software-Defined Healthcare: Modernizing Through DevOps, Observability & AIOps

Healthcare delivery is undergoing a transformation unlike any other. Digital systems now shape how physicians deliver care, how practices are managed, and how patients experience the health system. From cloud-native platforms to intelligent automation, the shift toward software-defined healthcare is revolutionizing clinical operations. At the heart of this change are three critical enablers: DevOps, Observability, and AIOps. Together, they form the backbone of a modern healthcare IT environment, driving resilience, agility, and patient-centered outcomes.