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The latest News and Information on Application Performance Monitoring and related technologies.

Raygun's 2024 in review: New features that empower developers

As 2024 wraps up, we’re taking a moment to look back at the updates and tools we launched to make your life as a developer and Raygun user easier. This year, we focused on enhancing how you monitor errors, track performance, and optimize user experiences. Here’s a breakdown of the key features we shipped in 2024.

Monitoring in the Age of the Internet: DEM, IPM, and APM-What You Need to Know

Gartner recently published the first ever Magic Quadrant for Digital Experience Monitoring (DEM). This landmark report raises important questions about what DEM is and why we need a new category now. It also prompts discussions about how DEM, Internet Performance Monitoring (IPM), and Application Performance Monitoring (APM) relate to each other and what roles they play in modern monitoring strategies.
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Engineering AI systems with Model Context Protocol

On November 26, 2024, Anthropic released the Model Context Protocol (MCP)-an open standard for data exchange between applications and data sources. MCP simplifies how Large Language Models (LLMs) interact with external tools and data, addressing the challenges developers face when integrating AI into their systems. At Raygun, we've been exploring agentic workflows to improve productivity and saw real potential in MCP. This post will explain how MCP works, what we've implemented, and where we think the standard is headed.

DataDog vs Prometheus - Comprehensive Comparison Guide [2025]

Both DataDog and Prometheus are application monitoring tools aimed to improve application performance. While Datadog is a cloud-based SaaS solution, meaning there's no need to install or maintain any infrastructure, Prometheus is an open-source tool that requires manual download and installation on your infrastructure. Let us compare DataDog and Prometheus to see which tool suits The biggest difference between Datadog and Prometheus is that while Prometheus is open-source, Datadog is proprietary.

Kibana vs. Grafana - A Scenario-Based Decision Guide [2025]

Both Kibana and Grafana are data visualization tools providing users capabilities to explore, analyze and visualize data with dashboards. The difference between Kibana and Grafana lies in their genesis. Kibana was built on top of the Elasticsearch stack, famous for log analysis and management. In comparison, Grafana was created mainly for metrics monitoring supporting visualization for time-series databases.

Top 14 ELK alternatives [open source included] in 2025

ELK is the acronym Elasticsearch, Logstash, and Kibana, and combined together, it is one of the most popular log analytics tools. Elastic changed the license of Elasticsearch and Kibana from the fully open Apache 2 license to a proprietary dual license. The ELK stack is also hard to manage at scale. In this article, we will discuss 14 ELK alternatives that you can consider using.

Top 11 Grafana Alternatives & Competitors [2025]

Are you looking for Grafana alternatives? Then you have come to the right place. Grafana started as a data visualization tool. It slowly evolved into a tool that can take data from multiple data sources for visualization. For observability, Grafana offers the LGTM stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). You need to configure and maintain multiple configurations for a full-stack observability setup.

The Ultimate Guide to API Monitoring in 2025 - Metrics, Tools, and Proven Practices

According to Akamai, 83% of web traffic is through APIs. Microservices, servers, and clients constantly communicate to exchange information. Even the Google search you made to reach this article involved your browser client calling Google APIs. Given APIs govern the internet, businesses rely on them heavily. API health is directly proportional to business prosperity. This article covers everything about API monitoring, so your API infrastructure’s health is always in check .