Operations | Monitoring | ITSM | DevOps | Cloud

Progress is pleased to announce that we have updated our industry-leading Flowmon Anomaly Detection System (ADS) to version 12.5. The latest update has these additions: Let’s take a look.

This is a guest blogpost by Markus Opolka from the Icinga Enterprise Partner NETWAYS. After forking the Grafana Module for Icinga Web last year, we started thinking about alternative ways to display Icinga performance data graphically in the web interface. Running a separate Grafana instance just to render graphs is a lot of overhead and adds operational complexity — no matter how much you like Grafana. Plus, installing the grafana-image-renderer isn’t always straightforward.

Your systems are getting faster. More complex. More distributed. But your tools are still waiting for something to go wrong before they do anything about it. That’s the real limitation of most AIOps platforms. They highlight issues. They suggest next steps. But they stop short of action—leaving your team to connect the dots, chase down context, and manually fix what broke. Agentic AIOps doesn’t wait. It acts.

The acceleration of digital engagement across industries has led to a significant rise in customer expectations, presenting new challenges for companies. Modern consumers demand swift resolutions and personalized experiences that foster long-term loyalty. Artificial intelligence (AI) helps businesses meet these demands by automating routine tasks, predicting behaviors, and personalizing interactions at scale.

Google I/O 2025 solidified a pivotal shift in the technology landscape, declaring Artificial Intelligence (AI) as the bedrock of its entire ecosystem. This declaration carries profound implications for the Retail, E-commerce, Consumer Packaged Goods (CPG), and Retail Media Network (RMN) sectors.

Industrial systems constantly generate time series data—streams of time-stamped values like temperature, flow rate, vibration, or power load. This data powers real-time monitoring, performance tracking, and long-term forecasting across critical infrastructure, energy systems, and manufacturing environments.

If you’re working with containers, SBOMs or any kind of vulnerability scan, you know the drill. Every scan lights up like a Christmas tree. Critical, high, medium and low vulnerabilities. It feels that the list will always go on. The goal is always zero CVEs. And while that sounds great, it’s not realistic. They come at such a high pace, and sometimes they are really hard to resolve. Teams are spending time chasing vulnerabilities that don’t matter.

Our first turnkey dashboard gives you a real-time pulse on engineering health. Every chart is interactive: click any bar or data point to drill down into the underlying PRs, commits, or incidents. And we’re just getting started; more dashboards are already on the way!

Whether it's ensuring a new service is fully equipped with security scanning, logging, and monitoring from the start, enforcing production readiness checks during deployment, or providing temporary credentials for a production database, Workflows directly support Engineering Excellence Initiatives around modernization and standardization.

If you’ve worked with Kubernetes, you know logs are essential for understanding what’s happening inside your clusters. However, unlike traditional servers, Kubernetes logs present their unique challenges. Pods frequently start and stop, containers restart regularly, and logs stored locally can be lost quickly. Because of this, managing logs in Kubernetes requires a different approach.