Operations | Monitoring | ITSM | DevOps | Cloud

Artificial Intelligence (AI) has become one of the most transformative technologies in today’s business landscape, especially in asset management. From improving decision-making to automating maintenance schedules, AI is redefining how organizations monitor, track, and manage their valuable assets. As digital transformation accelerates, the relationship between asset management and AI is growing stronger, unlocking new opportunities across industries.

For large-scale IT organizations, SNMP traps and log alerts are critical, but they can also be a hidden source of technical debt. Over time, alerting systems balloon with noise like redundant conditions, alerts from decommissioned tools, and logic that no longer maps to today’s hybrid infrastructure.

Spring is in the air, and so is change! Hector has just released a massive batch of new features, improvements, and updates. Here are a few of the new features we’ve just rolled out.

The session.id field is special in Honeycomb for Frontend Observability. It’s a default option for filtering and grouping, and it’s the basis for session timeline analysis (in Early Access). Now you can control how session.id is set. In prior releases (< 0.15.0) of the Honeycomb Web SDK, we used our own UUID generator for session.id, and it was not accessible outside of the Web SDK itself. As of version 0.15.0, we give you full control.

Effective vulnerability management has become a growing priority for organizations. Aided in part by AI, threats and vulnerabilities grow in speed and sophistication while IT environments become more complex. The skill gap for cybersecurity keeps widening (further worsened by a sprawling toolkit), exposing critical systems to exploitation. Managing secure infrastructure manually just isn’t possible at the scale and speed today’s enterprises demand.

Every organization has two non-negotiables: stay compliant and stay online. But achieving both—especially at scale—isn’t easy. Many IT teams still rely on manual processes for backups, documentation, and recovery. And when something goes wrong? The cost isn’t just measured in downtime, but in regulatory penalties, lost trust, and business disruption. What if network compliance wasn’t a separate process—but could naturally integrate into your recovery strategy?

Most cloud infrastructure and deployment misconfigurations start innocently enough: a dev under pressure to ship quickly tweaks a configuration file or adjusts a permission setting to make something work. It's not malicious and it might even be well thought out, but these small changes can cause a cascade of reactions that bring down production in seconds.

Have you ever launched a website, made a DNS change, and then waited and waited some more for it to go live? You are not alone.

A year ago, we set out to transform log analytics pricing by making it as flexible, transparent, and as customer-friendly as possible. We built a model that aligns cost with business value, charging only for data storage and analytics executed. With Flex Licensing, customers can scale usage up or down without breaking the bank, eliminating hidden costs and inefficient licensing structures. There is no more pre-planning or tiering of log data; there is just log ingest with sensible pricing.

Databricks is a critical part of many organizations’ tech stacks, facilitating analytics, machine learning, and other leading-edge data engineering tasks. But when a service like Databricks becomes essential, it also tends to become a cost black hole, leading engineering teams to a quandary: How can you keep Databricks costs in check without hurting application performance? At CloudZero, we give organizations unparalleled visibility into their Databricks costs.