Understand why tracking cumulative resource consumption is crucial for accurate process monitoring.

Many modern applications rely on MongoDB and MongoDB Atlas to manage growing data volumes and to provide flexible schema and data structures. As organizations adopt these and other NoSQL databases, effective monitoring and optimization become critical, especially in distributed environments.

To prevent visibility gaps in your cloud environment, you need to efficiently deploy observability solutions that integrate easily with key technologies in your stack and scale reliably with new applications and migrated workloads. But observability deployments can be complex, often requiring deep and specific knowledge that may not be available within your teams.

The demand for LLM is rapidly increasing—it’s estimated that there will be 750 million apps using LLMs by 2025. As a result, the need for LLM observability and monitoring tools is also rising. In this blog, we’ll dive into what LLM monitoring and observability are, why they’re both crucial and how we can track various metrics to ensure our model isn’t just working but thriving.

When it comes to modernizing MQ systems, finding the right balance between performance and cost can feel like walking a tightrope. With budget constraints on one side and the need for high performance on the other, it’s easy to tip too far in either direction. But here’s the thing—when you modernize your MQ infrastructure thoughtfully, you can achieve both efficiency and budget optimization.

In this article, we'll review the 5 best Cisco Switch monitoring tools for 2025. We'll provide an overview of switches, monitoring, and how to choose the best tool for you.

Choosing the right APM tool is critical. How do you know which is the right one for you? Here are the top 13 open source application performance monitoring(APM) tools which can solve your monitoring needs. Open source APM tools have added benefits over their SaaS counterparts. Open source tools are more transparent as you can verify its source code, and you can use it without going through the pains of taking approvals usually required for using a third-party vendor tool.

MetricFire automatically produces different statistical views on the data you send, providing fast views on your metrics at the most appropriate resolution for viewing on your dashboard using Hosted Graphite. This allows you append views to the end of your metric to visualize your data in different ways. Append a view to the end of your metric to visualize your data in different ways.

Tired of managing your Kubernetes clusters all on your own? Don’t have the time to figure out how to deploy, run, and optimize usage? Azure has just the thing for you: Azure Kubernetes Services. This article will cover everything you need to know about Azure Kubernetes Services, how it works, what the Azure pricing will be, whether you should use it, and, if so, how to save on your cloud cost.

When it comes to monitoring system performance on Linux, the load average is one of the most referenced metrics. Displayed prominently in tools like top, uptime, and htop, it’s often used as a quick gauge of system load and capacity. But how reliable is it? For complex, multi-threaded applications, load average can paint a misleading picture of actual system performance.