Operations | Monitoring | ITSM | DevOps | Cloud

Infrastructure monitoring is the process of continuously collecting, analyzing, and visualizing data from an organization’s IT infrastructure. With infrastructure monitoring, DevOps teams can maintain system health, meet SLAs, reduce downtime, and detect and resolve issues proactively. This ensures optimal performance, availability, and reliability. Key networks components infrastructure monitoring typically covers.

As Kubernetes environments continue to grow in scale and complexity, having a robust monitoring strategy is no longer just good practice, it’s essential for survival. For engineering teams in 2025, effective monitoring and observability is the bedrock of performance, reliability, and cost control. This guide dives into the critical aspects of modern Kubernetes monitoring, from key metrics to the top tools/frameworks and the rising role of AI in managing these complex systems.

Traditional observability tools can’t keep up with modern complexity. Dashboard and alert-based approaches still rely heavily on manual processes, resulting in longer troubleshooting cycles, slower decisions, and higher MTTR. Engineering teams need something better. Today we’re launching Open 360 AI, the first observability platform designed for both humans and AI agents working together.

Curious to see how AI actually performs in a real-world production scenario? Watch the webinar “AI-Driven Alert Triage and RCA” with Logz.io Customer Success Engineer, Seth King. Below, we also bring the main highlights of the webinar. AI claims to make engineers more efficient and agile, by shortening processes and surfacing insights that help drive decisions.

Today, we’re excited to announce support for AWS PrivateLink, allowing Logz.io customers to securely send logs and metrics through private VPC connectivity, without any data ever hitting the public internet. If you’re running workloads inside a VPC on AWS, this upgrade drastically improves your security posture, simplifies your networking architecture, and – most notably – reduces your data transfer costs (a lot).

OpenSearch is a powerful, scalable search and analytics engine that can do amazing things for logging, observability, and full-text search. But like any distributed system, it only performs well if you keep it properly tuned and healthy. Ignore it, and you risk slower queries, higher costs, and even data loss. Here are five practical tips to keep your OpenSearch cluster running smoothly and efficiently.

Managing logs at scale is no longer just about storing text—it’s about gaining insights fast, keeping systems healthy, and troubleshooting in real time. With cloud-native architectures becoming the norm, the pressure is on for modern teams to adopt log management tools that are fast, scalable, and easy to use. But with so many options, how do you choose the right one?

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.