Operations | Monitoring | ITSM | DevOps | Cloud

Digital Employee Experience is quickly moving from an IT concern to a boardroom priority. According to Gartner, “By 2026, 50% of digital workplace leaders will have established a DEX strategy and tool, up from 30% in 2024.” However, enterprises can still lose up to 470,000 hours per year due to poor DEX highlighting the need for organizations to pay close attention to the experience of their employees. However, implementing a DEX tool alone isn’t enough.

A common question and concern I hear about AI agents has to do with accuracy. This makes sense, I think. We’re accustomed to think of software systems as entirely deterministic—unpredictable results are a sign of bugs or logic errors.

Aerospace systems operate in one of the most unforgiving environments imaginable. Each flight test, orbital maneuver, or satellite transmission subjects avionics, propulsion systems, sensors, and telemetry hardware to extreme conditions. Even a minor failure can cascade into grounded aircraft, interrupted communications, or compromised missions.

Remember how I said that blog was going to be my last entry on the topic of "APM vs Observability?" Well, it turns out I had a little more to say. I'd like to spend a few moments talking about the future of APM and Observability. I think it comes down to two major initiatives: AI and Open Telemetry. (NOTE: in this section, I'm using the word "observability" to refer to the discipline of monitoring and observability as a whole, rather than any specific tool, technique, or vendor-based solution.)

At Progress, we continue to develop and enhance the Progress Flowmon product family. The latest update brings the core Flowmon product to release 13.0, and it includes remarkable performance improvements, strengthened security and expanded protocol support. Full details of what’s new and improved in the latest release are available on the Flowmon product page. In this blog, we’re excited to highlight the newest features and improvements to the Flowmon solution.

When you run Kubernetes at scale, one of the first challenges is understanding what the cluster is actually doing. Workloads shift around, pods restart for normal reasons, and traffic doesn't always follow the patterns you expect. Having clear signals makes day-to-day operations much easier. That's where kube-prometheus-stack helps. It brings Prometheus, Grafana, Alertmanager, and supporting components together as a single package.

Observability has become one of the fundamental elements of performance and reliability as modern applications move toward cloud-native architectures, microservices, and multi-cloud. Traditional monitoring techniques often fall short in such dynamic, distributed environments. That’s where OpenTelemetry (OTel) , an open-source observability framework comes into picture.

This blog explores the five key capabilities of configuration change management tools and how ManageEngine NCM helps automate, monitor, and secure every network change with confidence.

OpManager introduces the Remote Collector, a lightweight agent for low-spec machines that acts as a mini poller to discover devices and monitor availability across distributed networks.

When Detroit Wayne Integrated Health Network needed reliability at every heartbeat, they turned to ManageEngine OpManager. From chaos to clarity, OpManager unified their IT, reduced downtime, and powered faster, smarter care delivery. Discover how you can do the same.