Operations | Monitoring | ITSM | DevOps | Cloud

Throughput is one of the most foundational metrics in application performance monitoring. It tells you how many requests your app is handling over time and offers a direct look at system load, responsiveness, and scalability. But throughput rarely speaks for itself. The key is knowing how to interpret it, and when to act. In this post, we’ll look at how throughput works in the real world: what healthy looks like, what broken looks like, and what lives in between.

Remote workers depend on VPNs to access corporate resources. When VPN performance tanks, productivity stops. The problem? Most IT teams troubleshoot blindly. They can't tell if slow performance is caused by VPN encryption overhead, ISP issues, or corporate infrastructure problems. Here's the reality: Your remote workers are calling the help desk, saying "the VPN is slow", but you have no visibility into what's actually happening on their end. You're guessing. Maybe you ask them to restart their router.

Secure SSL monitoring software has become essential for every business that depends on websites, web applications, APIs, or cloud services. With increasing security threats, expired certificates, and hidden configuration mistakes, companies need reliable tools to ensure their SSL certificates stay valid, updated, and fully compliant. The right monitoring solution helps avoid service outages, failed transactions, and data breaches caused by unmanaged or forgotten certificates.

APIs power everything. From login flows to checkout systems to internal microservice communication. But as teams scale, so does the confusion around the terminology: HTTP API vs REST API vs Web API. Many articles treat these as interchangeable, but the differences are real, and they affect reliability, performance, caching behavior, authentication flows, and ultimately how you monitor your endpoints.

Kentik AI Runbooks are machine-readable instructions that codify tribal knowledge into specific diagnostic workflows. By guiding AI Advisor’s reasoning and tool selection, Runbooks turn alerts into actionable, automated investigations, dramatically accelerating MTTR.

For Grafana Labs, 2025 was a year defined by innovation, growth, and the power of our community. We celebrated the release of Grafana 12 at our 10th annual GrafanaCON event, and marked major milestones across open source projects, including Mimir, k6, Beyla, Faro, and Alloy. It was also a year of taking bold steps forward in how teams interact with their systems and data.

After four days of AWS re:Invent—a 65,000-step marathon that included 60,000 attendees spread across five Las Vegas campuses—and navigating the latest installment of this 13-year-old cloud pilgrimage, we’re all a little dehydrated but significantly wiser. The volume of announcements felt less like a single flood and more like a river branching into three powerful currents. Making sense of this massive technological convergence requires zooming out.

For our last episode of 2025, we’re focusing on Datadog releases announced at AWS re:Invent. Join Jeremy to see how you can manage logs at petabyte scale in your infrastructure, eliminate unneeded costs in Amazon S3 buckets, build agentic workflows, and detect credential leaks. Later in the episode, Scott spotlights how you can connect your AI agents to Datadog tools and context with our MCP Server.