Operations | Monitoring | ITSM | DevOps | Cloud

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

Internet Speed Monitoring - How to Proactively Test Your Internet Connections

Recent enhancements to eG Enterprise have added functionality to allow you to proactively test your internet speed with synthetic monitoring (“robot” tests that simulate real user activity). Using the new functionality you can proactively monitor internet speeds 24×7 from any location. The performance and quality of an Internet connection plays a major role in any IT environment. Use cases for this new functionality include.

Balancing Data Locality, Data Sovereignty, and Data Replication

Modern distributed systems must simultaneously respect where data must live, where it should live for performance, and where it needs to live for resilience. Data sovereignty and residency requirements increasingly affect technical design decisions, not only in regulated industries, but in any global product that must navigate regional expectations, latency constraints, cost structures, and operational realities.

Datadog Data Observability, enables you to detect data quality and pipeline issues early.

See our latest Episode of This Month in Datadog, for a spotlight of Datadog Data Observability, which enables you to detect data quality and pipeline issues early, as well as remediate those issues with end-to-end lineage. We also cover: This Month in Datadog brings you the latest updates on our newest product features, announcements, resources, and events.

Architecting Log Management for Privacy and Scale without the Headache

As companies grow, they inevitably hit a wall: observability data explodes while privacy requirements become stricter. For years, engineers have faced a painful tradeoff—either ship petabytes of sensitive data to a central cloud (incurring egress costs and compliance risks) or manage a complex self-hosted stack that is painful to scale.

Captur: Observability-First Mobile ML Inference for Better Customer Confidence

Captur builds a mobile SDK that brings real-time image recognition and actionable feedback directly into customers’ apps, running complex machine learning models entirely on device without cloud inference. This architecture delivers privacy and performance, but also creates unique challenges when it comes to observability and debugging, especially as crashes can originate from the host app rather than the SDK itself.

Claude Agent SDK Monitoring & Observability with OpenTelemetry and SigNoz

Learn how to implement monitoring and observability for the Claude Agent SDK using OpenTelemetry and SigNoz. In this video, we walk through instrumenting your Claude-based agents, capturing traces, metrics, and logs, and visualizing everything in SigNoz for real-time insights. You’ll learn how to debug agent behavior, identify latency bottlenecks, and monitor performance in production environments.

Release software with confidence using Datadog Feature Flags

In this technical product demo, see how Datadog Feature Flags helps teams release software with confidence by connecting every feature flag to real-time observability data. Configure progressive, multi-step rollouts with automated guardrails tied to APM, RUM, and Product Analytics so you can pause or roll back instantly if latency, errors, or key business metrics degrade.

Best Rails APM Tools in 2026: A Developer's Guide

Rails applications have a specific set of performance challenges that make monitoring genuinely useful rather than just box-checking. ActiveRecord is convenient to use and also convenient to accidentally write N+1 queries with. Memory bloat in long-running processes, particularly when Sidekiq or Action Cable is involved, is a recurring production problem for a lot of teams. Background job performance tends to degrade quietly until it becomes noticeable.

Datadog Incident Response: One platform from alert to resolution

When incidents strike, speed and clarity are critical. Datadog Incident Response brings the full incident lifecycle into one platform so teams can move from detection to resolution with confidence. Operate from a single, unified view of your systems, coordinate across the tools your teams already use, and leverage AI that analyzes incidents in real time to surface context, guide decisions, and accelerate resolution.