Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Observabilty for complex systems and related technologies.

Top 9 Observability Tools for AI-Assisted Development & Deployment

AI-assisted development is rapidly becoming the default way software is built. Code generation, AI copilots, agentic pull requests, and automated refactoring are now embedded directly into engineering workflows. While this shift dramatically increases delivery speed, it also introduces a new operational reality: production systems are changing faster than humans can fully reason about them. This is where observability becomes mission-critical.

Observability trends for 2026 (Part 2): GenAI and OpenTelemetry reshape the landscape

Over the course of my 20 years as a developer, SRE, and now observability product leader, software has typically progressed at a good pace. But now, the emergence of two transformative technologies are fundamentally reshaping enterprise observability: generative AI (GenAI) and OpenTelemetry (OTel). We surveyed over 500 IT decision-makers for a new report:The Landscape of Observability in 2026: Balancing Cost and Innovation.

30+ Top Observability Tools to Monitor Websites and Applications [2026 Updated]

By incorporating observability tools into your stack, you can better understand how your complex infrastructure operates, reduce downtime, and empower developers to identify and fix problems quickly. However, it now takes considerably more work, time, and money to build the best observability tools for your infrastructure and applications. According to a Splunk survey, over half of the firms polled employ eight or more observability tools.

OpenTelemetry Instrumentation Best Practices for Microservices Observability

OpenTelemetry instrumentation is the foundation of modern microservices observability, but getting it right in production requires more than just enabling auto-instrumentation. This guide covers production-tested OpenTelemetry best practices that help engineering teams achieve reliable distributed tracing, control observability costs, and extract maximum value from their telemetry data.

Observability vs Monitoring: Getting a Full Picture of the Environment

Driving down the highway, you usually glance intermittently at your speedometer to ensure that you stay within the speed limit, or whatever window above the speed limit you’re willing to drive. While monitoring your speed mitigates the risk of a ticket, you still need to look out for various threats on the road, like cars going through stop signs. By observing your surroundings, you take in real-time information that can help prevent a crash.

Navigating the Signal Tsunami: Why Shared Observability Matters

Digital businesses today generate a flood of telemetry—metrics, logs, traces, and events—at a scale that grows exponentially with every new application, cloud service, and user interaction. In one recent IDC survey, every organization reported sharing observability data across teams, yet nearly half said poor collaboration still prevents them from identifying performance problems.