Operations | Monitoring | ITSM | DevOps | Cloud

For decades, the enterprise network was a well-defined fortress and network engineers were its meticulous guardians. However, their visibility and control was largely confined within the parameters of their organization's infrastructure. The cloud revolution and the ubiquity of SaaS applications have shattered these traditional boundaries. Today, for virtually every organization, the internet is the new enterprise network.

In recent years, network performance and business performance have become increasingly intertwined. Now, virtually every critical employee and customer service is in some way reliant upon network connectivity. When connectivity falters, those critical processes can be impaired or stopped completely. However, for too many teams, it can be difficult to knowledgeably determine how specific outages or issues actually affect a business service. For example, say an operator discovers a device is down.

If your organization isn’t focused on data security, it’s time to make some changes, particularly if you rely on SQL Server to manage and store valuable information. Cyber threats, data breaches, and malicious attacks are on the rise—and they are constantly evolving. That’s why it’s essential to have robust security measures in place. SQL Server has several built-in security features, but you must take a proactive approach to protect your data.

One of my favorite new PostgreSQL 18 features which hasn’t had much attention yet is tracking session-level IO stats. It’s going to be really helpful for more quickly finding problematic queries in real-time – kudos in particular to Bertrand Drouvot for the work on it!

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.