Operations | Monitoring | ITSM | DevOps | Cloud

Apache Cassandra has long been favored by organizations dealing with large volumes of data that require distributed storage and processing capabilities. Its decentralized architecture and tunable consistency levels make it ideal for handling massive datasets across multiple nodes with minimal latency. On the other hand, Apache Spark excels in processing and analyzing data in-memory, making it an excellent complement to Cassandra for performing real-time analytics and batch processing tasks.

We're happy to announce Raygun's new remote MCP server, giving AI tools direct access to live error data so they can investigate issues, surface root causes, and take action with real context, not guesses. It's been nearly a year since Anthropic released the Model Context Protocol (MCP), and a lot has changed in the AI space. Since then, almost all major players now support MCP, allowing them to tap into the massive and ever-expanding catalogue of MCP servers. When MCP first launched, we shipped our own Raygun MCP within 48 hours of the spec dropping, which was an early step toward giving LLMs visibility into Raygun data.

Choosing the right status page solution can make the difference between customer trust and customer churn during incidents. This guide compares the top status page alternatives to help you find the perfect fit for your team's needs-whether you need public incident communication, internal vendor monitoring, or enterprise-grade features.