The performance monitoring industry has been using the word “observability” to a lot of different ends lately. While the trend towards more visibility into services is a good one, it’s also based on a need we see from customers on a day-to-day basis. The need to take back control of network visibility is strong in the face of complexity that has been rapidly increasing for years.

Microservices architecture has become a dominant approach for building scalable, resilient, and flexible applications. However, monitoring these microservices presents unique challenges due to their distributed nature, fixed or limited resources, enterprise scale, and the dynamic nature of environments, such as Kubernetes clusters. The result is that in-process application agents often introduce significant overhead because they rely on intrusive instrumentation and frequent polling.

Debugging Python code is crucial for guaranteeing the uptime and performance of your application, and logging in Python is a great solution to streamline your debugging workflow. Python, a general-purpose programming language, includes a logging module in its standard library, offering a flexible framework for generating log messages from Python programs.

Kibana and Grafana are the leading options when selecting a tool for observability and monitoring in cloud environments. This guide extensively explores their variances to assist you in selecting the most suitable option for your requirements. Understanding these tools is crucial for effective system monitoring, whether managing a small startup or a large enterprise.

We are thrilled to share several recent success stories that highlight the incredible power of our Early Warning Signals feature for K12 IT departments. A monitoring feature unique to StatusGator, Early Warning Signals gives your IT team a heads up on potential outages before providers officially acknowledge them on their status pages. When those critical first few moments strike, StatusGator lets you know if it’s everyone or just you.

Employee productivity necessarily depends on the performance and availability of all needed IT technologies, from devices and networks to applications and collaboration tools. Frequently overlooked is the critical dimension of employee adoption; the process of rapidly getting employees to where they can always appropriately use the technologies chosen by their company, with minimal to no friction.

Learn how to install and configure the OpenTelemetry Collector for enhanced observability. This guide covers Docker, Kubernetes, and Linux installations with step-by-step instructions and configuration examples.

Our blog covers practical insights into Golang logging, including how to use the log package, popular third-party libraries, and tips for structured logging.

Monitoring Kubernetes performance allows you to manage your applications smoothly. In this article, we will examine Kubernetes metrics every team should monitor and how to send K8s metrics to MetricFire for insights and visualization in Hosted Grafana.