For gaming companies, creating a positive user experience is paramount. Gamers expect seamless gameplay, fast response times, and 24/7 availability. Maintaining top-notch performance is crucial when managing massive multiplayer online games, mobile games, or e-sports platforms. This blog will explain how gaming companies rely on monitoring and explore many widespread monitoring use cases for gaming companies.

Next.js is one of the most popular open source web frameworks for hosting web applications; however, performance monitoring of such applications, until now, has been a mystery. Whether you’re hosting Next.js apps yourself or via third party services like Vercel, it’s always helpful to know how the application is performing to make it more efficient and deliver a pleasant user experience.

One of the most important steps in log management is parsing of the log files, which turns unstructured data into understandable information. Logs are broken down by pre-established parsing rules, making monitoring and operating system performance easier and facilitating real-time problem-solving of the event logs. A Data Breach Investigations Report emphasizes the critical role of human error in cybersecurity, noting that it is a factor in 74% of all breaches.

Log Analysis has been a beneficial practice for organizations for numerous years, and over these years it has continuously evolved. This has been in part driven by the increasing volume of logs that companies are required to monitor. Now, log analysis is shifting again, incorporating machine learning (ML) and artificial intelligence (AI) to assist data analysts in identifying system log patterns and anomalies.

Learn to monitor host metrics with OpenTelemetry. Discover setup tips, common pitfalls, and best practices for effective observability.

Autonomous observability for system monitoring and management aims to use GenAI and machine learning to automatically detect, diagnose and resolve issues. In conversations about cloud observability today, discussions often shift from “what’s possible” to “what’s practical.” Too often, these conversations highlight the shortcomings of current observability processes, tools and financial models.

Workload management is ubiquitous when it comes to automating critical business processes. With time, workload management as a technology is going through a gradual evolution, from ‘just automation’ to an orchestrator of intelligent automation. This necessitates a layer of observability and intelligence to facilitate the move from workload automation to workload management.

As we conclude our three-part series on key observability metrics ScienceLogic monitors, this blog focuses on the analysis and impact of user experience (UX) metrics to shed light on their business impact. Whether it’s an internal business application or a customer-facing platform, a seamless and efficient user experience can significantly impact satisfaction, productivity, and loyalty.

Explore how Prometheus Alertmanager simplifies alert handling, reducing fatigue by smartly grouping and routing notifications for your team.