Operations | Monitoring | ITSM | DevOps | Cloud

You built the MCP server. Now track every client, tool, and request with Sentry.

TL;DR - Starting today, you can instrument most server-side JavaScript SDK based MCP servers with one line of instrumentation code within your MCP SDK implementation. Click to Copy Click to Copy With this in place, you’ll be able to see details like protocol usage, client usage, traffic, tool usage, and performance across your MCP implementation.

Optimize Your E-Commerce Platform with PHP Performance Monitoring

In e-commerce, seconds can mean millions. A one-second delay during checkout can slash conversion rates by 7% and send frustrated customers straight to your competitors. Most modern e-commerce platforms, such as Magento and WooCommerce, and Laravel-based solutions, run on PHP, making PHP application performance monitoring (APM) not just a nice-to-have, but a revenue-critical necessity.

Optimizing PHP-FPM: Tips to Boost Your PHP Application Performance

When your PHP-based application starts attracting thousands of visitors, the way you run PHP becomes critical. A slow-loading page or a server crash during peak hours can cost you revenue, users, and reputation. PHP-FPM (PHP FastCGI Process Manager) is the default way most high-performance websites run PHP. While its default configuration works fine for small to medium workloads, high-traffic applications need custom tuning to handle large volumes of requests efficiently.

Mastering Service Configuration in Icinga Director

The Icinga Director configuration tool makes it easy to define monitoring objects through the web UI and deploy them to the Icinga 2 API. In this blog post, I’ll walk you through how to configure services in Icinga Director. If you haven’t used Icinga Director yet, take a look at our introduction. I assume that most of you are already familiar with Icinga 2 and have used the DSL to define objects.

Automated Diagnostics & Triage: The Fastest Way to Cut Incident Time

Too many incidents waste valuable engineering time on the basics: collecting logs, pulling system data, and tracking down the right person to fix the issue. Meanwhile, customers experience delays, SLAs are breached, and critical work gets pushed aside. The real kicker? Those L3 and L4 severity incidents that could actually prevent future fires get labeled as “nice to have” and collect dust in your backlog. Automated diagnostics and triage eliminates these bottlenecks.

The PagerDuty Vision for AI-First Operations

Something fundamental needs to change in the way we run operations. Organizations are deploying AI to optimize everything from coding and deployment to resource planning and incident management. But they’re discovering that managing AI-powered systems requires a completely different operational mindset. AI models hallucinate. Data pipelines degrade silently. Algorithms develop bias without warning.

Fiber Paths and Failsafes: Why Your Network Design Matters

Redundancy isn’t just a buzzword – it’s the design principle keeping modern AI and cloud applications online. In this Uplink episode, Kevin Schlosser, Interconnection Product Manager at NTT Global Data Centers, explains how resilient infrastructure is engineered to expect failure but remain operational. We explore: Diverse entry points and fiber path management AI-driven bandwidth growth: 100G standard, 400G emerging Cooling innovations for intense compute workloads Why providers without their own fiber may offer the most resilient paths.