Find out how to effectively and easily monitor and troubleshoot BIND 9 using Netdata.

Observability, monitoring, and telemetry are crucial for maintaining the performance and reliability of modern systems. Their concepts are often used interchangeably, but they have distinct differences that are important to understand. In this blog, we’ll explore each concept in detail, including key characteristics and examples of tools. We’ll also compare observability vs monitoring vs telemetry and discuss when it’s appropriate to use each.

Tools like Fluentbit and Fluentd make log management more efficient by centralizing log data from multiple sources and providing the ability to monitor and analyze it all in one place. Log management is the practice of collecting, storing, analyzing, and monitoring log data from various systems and applications. This log data can provide valuable insights for organizations such as identifying system issues, troubleshooting problems, detecting security threats, and meeting compliance requirements.

Understand what makes a storage device S.M.A.R.T and how to monitor a self monitoring component using Netdata.

Unlock the full potential of your observability stack with continuous profiling Identifying performance bottlenecks and wasteful computations can be a complex and challenging task, particularly in modern cloud-native environments. As the complexity of cloud-native environments increases, so does the need for effective observability solutions.

Now you can experience our products—without scheduling a live demo or free trial. The ScienceLogic product tours are designed to give you a self-service ScienceLogic experience, so you can see for yourself first-hand how our AIOps & Observability solutions can help solve your organization’s hardest challenges.

Network outages are both common and expensive – usually far more expensive than people realize. Yes, the network is down and the organization is losing money, but do you really appreciate how much money? And how much an outage can actually cost on a per minute basis? It’s not only more than most people think, it’s something that can be mitigated fairly easily.

Kubernetes has become the preferred tool for DevOps engineers to deploy and manage containerized applications on one or multiple servers. These compute nodes are also known as clusters, and their performance is crucial to the success of an application. If a Kubernetes cluster isn’t performing optimally, the application’s availability and performance will suffer, leading to unhappy users and even revenue loss.

You’re responsible for administering hundreds to thousands of server endpoints deployed at your company. You receive daily requests from the application teams requiring agents be installed on new servers, from the compliance team tracking agent upgrades and from the operations team concerned logs and metrics are missing from the dashboards they’re monitoring. You review your workload and realize you must log into each individual server for every request you’ve received.