Operations | Monitoring | ITSM | DevOps | Cloud

You’ve probably run a lot of Docker containers, but do you know what happens behind the scenes? The Docker container lifecycle is the path a container follows from being created to running, stopping, and finally getting removed. Understanding these steps helps you figure out why a container might not start or when to restart it instead of creating a new one.

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.

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.

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.

We’re thrilled to announce the Beta launch of Logz.io Dashboards – a major step forward in how engineers and DevOps teams visualize and analyze their telemetry data. For the first time, Logz.io users can now create dashboards that bring together logs, metrics, and traces in a single unified view — making it easier than ever to monitor performance, detect issues, and troubleshoot incidents without switching tools or losing context. This launch is more than just a product update.

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.

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.

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.

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.