Operations | Monitoring | ITSM | DevOps | Cloud

We’ve been working on a number of items here at InfluxData to give you even more options for creating visualizations and dashboards for your time series data in InfluxDB 3.

In today’s high-performance data centers, “all green” dashboards can mask catastrophic issues hiding just beneath the surface. If you’re missing the microbursts, hidden oversubscription, and routing imbalances that are devastating application performance, you’re flying blind. Learn how to close these visibility gaps and shift from reactive firefighting to proactive network intelligence.

Here's some excellent news for the Pythonistas in the room: You can now monitor the performance of your Python applications with Honeybadger. Last year, we launched Honeybadger Insights, a new logging and observability tool bundled with Honeybadger. Insights enables you to query your application logs and events to answer performance questions, perform root-cause analyses, and create charts and dashboards to see what's happening in real time.

Everyone is excited about AI, but few companies have successfully implemented it. While enthusiasm for generative AI (GenAI) has helped accelerate AI adoption across enterprises, the promises of artificial intelligence have yet to translate into measurable impact on most organizations’ bottom lines. The trouble isn’t the tech — it’s a lack of executive ownership.

Today’s enterprise networks are a far cry from the centralized, predictable infrastructures of the past. Instead, they are sprawling, dynamic ecosystems that stretch across cloud services, SaaS applications, on-premises data centers, distributed branches, and thousands of end users connecting from every imaginable location. This complexity creates a huge challenge for IT and network operations teams: How do you get a clear, real-time view of what’s really happening?

I’ve been in those late-night "war room" calls where, after hours of painstaking work, the team finally resolves a critical outage. The dashboards all turn green, a collective sigh of relief is shared, and the next day’s report highlights a victory: Mean time to resolution (MTTR) was reduced by 15% compared to the last major incident. It feels like a win.

As some of you might have already noticed, we recently gave our official Icinga 2 container image builds a complete overhaul. These new images are currently available only as snapshot builds but will replace the existing stable images with the next Icinga 2 v2.16.0 release. In this blog post, we’ll walk you through the key changes and improvements that come with the new images, as well as the reasons behind these changes.