Operations | Monitoring | ITSM | DevOps | Cloud

In the SaaS era, especially in the B2B segment, the business’s profitability will vary from customer to customer. It is usual to observe that there would be a few “expensive customers” who use the platform heavily, which could also mean they are profitable customers. But we cannot take plain guesses! As a business, ensuring that the revenue we receive from each customer is appropriate for what it costs us to deliver the value is significant.

While there are several solutions that try to help you improve your testing practices and tooling, we believe that high-quality software is not just limited to how well it’s tested. That’s why we’re expanding beyond code coverage and building the foundation for the first of its kind pre-release platform with Bundle Analysis, Test Analytics, and AI-Powered Code Review.

Linux is a powerful and widely-used operating system used by individuals, businesses, and organizations around the world. With its open-source nature and customizable features, Linux has become a popular choice for those seeking a reliable and efficient system for their computing needs. However, with this power and flexibility also comes the need for proper monitoring and management.

In today’s lightning-fast world, seamless teamwork and communication are like oxygen for any company. And that’s where having a strategy for Microsoft 365 performance gives you an edge. It’s the epicenter of collaboration within the Microsoft 365 universe. It helps teams connect, build, and crush their goals. But, keeping Microsoft Teams purring like a kitten is essential to avoid revenue hiccups.

Netstat is a powerful command-line tool that provides valuable insights into your computer's network connections and performance. This article will explore what netstat does, how to use it on Linux systems, and ways to leverage netstat for network troubleshooting and monitoring.

In the LM Envision platform, anomaly detection for metrics is referred to by the feature name “Dynamic Threshold” rather than the more generic machine learning term “anomaly detection.” Dynamic thresholds allow users to identify and set custom alert thresholds based on observed data points. Metric thresholds in rules-based systems are effective when the desired outcome is clear. However, static thresholds may not anticipate emerging issues.

Manage and correlate signals and alerts in Elastic Observability As organizations embrace increasingly complex and interconnected IT systems, the sheer volume of alerts generated by diverse monitoring tools has given rise to a critical challenge — how do we efficiently sift through the noise to identify and respond to the most crucial issues? Event management and correlation are two indispensable pillars in the realm of IT service management.

Grafana Beyla, an open source eBPF auto-instrumentation tool, has been able to produce OpenTelemetry trace spans since we introduced the project. However, the traces produced by the initial versions of Grafana Beyla were single span OpenTelemetry traces, which means the trace context information was limited to a single service view. Beyla was able to ingest TraceID information passed to the instrumented service, but was unable to propagate it upstream to other services.

Integrating monitoring and logging into your application stack is crucial for maintaining performance, enhancing security, and streamlining troubleshooting. Grafana Cloud offers a robust solution for monitoring your applications by collecting metrics and logs using an agent, such as Grafana Agent, but there are many environments where this isn’t feasible.