Operations | Monitoring | ITSM | DevOps | Cloud

In the increasingly complex network infrastructure stack, achieving complete visibility across every layer is no longer optional—it’s necessary. Network operations teams seek solutions that offer seamless observability across diverse infrastructures while minimizing operational costs. Enter SystemEDGE, a robust monitoring tool designed to amplify observability within the DX NetOps ecosystem.

Have you ever had an alert go off that you immediately ignore? It’s a nuisance alert—not actionable—but you keep it around just in case. Or maybe you’ve looked at a trace waterfall and wondered what exactly happened during a gap that just doesn’t drill down deep enough to explain what’s going on. Do you know the feeling where you have just enough information to monitor what’s going on in your systems, but not quite enough to put your mind at ease?

Organizations exploring Kubernetes alternatives often face a critical decision when choosing the right container orchestration solution. While Kubernetes has established itself as the industry standard, companies are increasingly seeking alternatives that better align with their deployment needs, team expertise, and operational requirements. This comprehensive guide examines the top alternatives to Kubernetes, helping you make an informed decision for your 2025 container strategy.

From AI to eBPF, 2024 reshaped the observability landscape. As we peer into 2025, Grafana Labs’ experts predict another year of innovation that will redefine how teams understand and optimize their systems, from profiling to platform engineering. Their insights align with what the community is saying, according to early responses from our third annual Observability Survey. Do you agree or disagree with the trends our team believes will transform the world of observability next year?

Last week, I attended one of the last conferences of the year with team Mezmo: the Gartner IT Infrastructure, Operations & Cloud Strategies Conference in Las Vegas. Not surprisingly, there were over 20 sessions covering observability and how it is getting increasingly critical in the new complex distributed computing environment. Of course, there were many sessions, including all keynotes that addressed the advent and impact of AI on IT operations and observability.

AI is changing our world, and its impact on observability is no different. This article discusses some of the components of a good observability platform, how AI is well-positioned to revolutionize observability, and how Lumigo Copilot Beta will provide substantial value to customers and partners.

We’re excited to announce Coroot v1.6, packed with major improvements and new features to make observability even better! Here’s what’s new.

As digital applications and infrastructures grow increasingly complex, managing and understanding log data has become increasingly vital in achieving practical observability, enabling organizations to detect, diagnose, and prevent issues across their systems. However, traditional log analysis methods often struggle with the volume and complexities of modern log data in cloud-native environments.

Over the past year, I’ve noticed some interesting trends in my work with state and local governments. Across my conversations with organizations in this space, there’s a common thread: teams are getting creative about maximizing their limited resources. With budgets either flat or shrinking and operational demands increasing, these teams face tough choices. They’re being asked to maintain or improve services while working with the same, or in some cases, fewer resources than before.