Operations | Monitoring | ITSM | DevOps | Cloud

Sentry MCP server monitoring

We just launched MCP server monitoring in beta. You can instrument most server-side JavaScript SDK based MCP servers with one line of instrumentation code within your MCP SDK implementation using: wrapMcpServerWithSentry(McpServer) See details like protocol usage, client usage, traffic, tool usage, and performance across your MCP implementation so you you can get visibility into all the sharp edges that your MCP server has — who’s using it, how it’s working (or not), and get alerted when things break.

Cortex MCP set up

Learn how to set up the Cortex MCP in under 5 minutes. The MCP integrates directly into your IDE, giving instant access to Cortex data without leaving your coding environment. It reduces context switching by enabling natural questions about services and teams, and streamlines workflows with real-time data from Cortex, Jira, GitHub, and more.

AI Meets Mobile: How Companies Leverage Android and AIOps for Smarter User Experiences

Mobile devices are becoming smarter with every tap. Thanks to AI and AIOps, Android apps can now predict what users need, fix issues before they even notice them, and create seamless, personalized experiences. This isn't a distant tech dream but something that's happening right now, transforming the way companies design and deliver mobile services. From streamlining performance to enhancing customer engagement, AI is quietly rewriting the rules of mobile interaction.

Pulseway's New AI-Powered Workflows: The Next Evolution in IT Automation

Efficiency has never been so vital for IT departments and MSPs—it’s a necessity. Endpoints need constant patching, security threats evolve daily, and service requests never stop coming. For many IT teams, the biggest challenge isn’t solving complex problems—it’s finding the time to do it all. That’s why Pulseway’s new AI-powered workflow generator is a breakthrough for IT operations.

LLM-powered insights into your tracing data: introducing MCP support in Grafana Cloud Traces

Distributed tracing data is a unique and powerful observability signal, allowing you to understand how your services interact and the relationships between them. Sometimes it can be difficult, however, to turn raw tracing data into actionable insights. This is exactly why we introduced Grafana Traces Drilldown, an application that lets you quickly investigate and visualize your tracing data through a simplified, queryless experience.

7 Essential Tools for a Faster, More Accurate Record-to-Report Process

The record-to-report (R2R) process is the backbone of financial reporting, turning day-to-day transaction data into accurate financial statements. For finance managers, CFOs, and accountants, a faster and more accurate R2R process means timely insights, fewer errors, and confident decision-making. Yet traditional R2R cycles can be slow and prone to manual errors. In this article, we'll explore the tools for record to report process optimization - from automation platforms to analytics solutions - that can streamline workflows and boost accuracy.