Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

HAProxy 3.2 is here, and this release gives you more of what matters most: exceptional performance and efficiency, best-in-class SSL/TLS, deep observability, and flexible control over your traffic. These powerful capabilities help HAProxy remain the G2 category leader in API management, container networking, DDoS protection, web application firewall (WAF), and load balancing.

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.

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.