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

Data Observability: Build confidence in the data life cycle

Datadog Data Observability provides a complete solution with quality checks (e.g., volume, row changes, freshness), custom SQL-based monitors, anomaly detection, column-level lineage across systems like Snowflake and Tableau, full pipeline visibility, and targeted alerts when data issues arise.

Observing Vercel AI SDK with OpenTelemetry + SigNoz

LLM-powered apps are growing fast, and frameworks like the Vercel AI SDK make it easy to build them. But with AI comes complexity. Latency issues, unpredictable outputs, and opaque failures can impact user experience. That’s why monitoring is essential. By using OpenTelemetry for standard instrumentation and SigNoz for observability, you can track performance, detect errors, and gain insights into your AI app’s behavior with minimal setup.

OpenTelemetry NestJS Implementation Guide: Complete Setup for Production [2025]

NestJS applications require comprehensive monitoring to ensure optimal performance and rapid issue resolution. As your application grows—spanning multiple services, databases, and external APIs—understanding what's happening under the hood becomes critical. That's where OpenTelemetry comes in. OpenTelemetry provides vendor-agnostic observability for your NestJS applications through distributed tracing, metrics, and logs.

Advanced Proactive SSL Certificate Monitoring

eG Enterprise version 7.5 introduces advanced capabilities for detailed SSL Certificate Monitoring including monitoring for web servers and apps using SSL. Monitoring SSL certificates is essential to ensure secure connections, prevent service outages, and maintain user trust. Here are a few things you need to monitor and questions you should ask to keep your services and apps running reliably and securely.

Taming Your Dynatrace Bill: How to Cut Observability Costs, Not Visibility

Dynatrace is a powerhouse for application performance monitoring and business analytics. But for many organizations, its power comes with a significant challenge: as applications scale across complex hybrid environments and diverse tech stacks, the sheer volume and variety of logs, metrics, and traces sent to the platform can explode, leading to staggering and unpredictable costs.

Debug live production issues with the Datadog Cursor extension

The Datadog Cursor Extension uses the Datadog remote MCP Server to give developers access to Datadog tools and observability data directly from within the Cursor IDE. The Cursor Extension enables you to view live variable values that your logpoints capture during execution, and you can use the Cursor Agent to identify the lines of code responsible for the issue at hand. The Datadog Cursor Extension is now available in Preview.