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.

As the technology landscape continues to evolve, so do the methods by which organizations ensure optimal service delivery. Service Level Objectives (SLOs) have emerged as one of the most critical metrics in DevOps and Site Reliability Engineering (SRE), acting as a bridge between reliability and performance. SLOs reflect the target reliability of a service from the perspective of the user, providing measurable standards to maintain quality.

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.

Check out these 10 tools that are making a real difference in how teams build, manage, and scale their platforms in 2024.

Catch up on Day 2 of PromCon 2024. Read about the key talks and takeaways from the second day of this exciting event.

Large language models are algorithms designed to understand, generate, and manipulate human language. State-of-the-art large language models include OpenAI’s GPT-4o, Anthropic Claude Sonnet 3.5, and Meta LLaMA 3.1. They are built using neural networks with billions or even trillions of parameters. They are trained on vast datasets that can include text from the internet, books, code, and other information sources.