Observability
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The Next Platform Giant Is Hiding in Plain Sight
Every era of software produces a platform that becomes the system of record. The talk today is about which coding agent writes the best code. Agents are the editors of this era. The platform is what happens around them.
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AI and Machine Learning: Transforming Observability
What AI and machine learning add to monitoring: anomaly detection in real time, faster root cause analysis, and maintenance before the failure. Part of my observability series.
AI & Implementation · 3 min -
Dynamic Alerting in Observability 2.0: Responding to Ever-Changing Systems
Static thresholds cause alert fatigue when they are tight and missed incidents when they are loose. Dynamic alerting adapts as the behavior of the system changes. Part of my observability series.
Software Craft · 3 min -
The Role of End-to-End Visibility in Observability 2.0
A request crosses many services before it fails. End-to-end visibility shows the whole path, from the interface to the infrastructure, so a team can find the bottleneck. Part of my observability series.
Software Craft · 2 min -
Observability-Driven Development: Aligning Monitoring and Software Development
Observability works best when it is designed in from the start. Build the logs, instrumentation, and monitoring hooks with the feature, and use that data to decide what to build next. Part of my observability series.
Software Craft · 2 min -
Embracing Context: The Power of Correlation in Observability 2.0
Metrics, logs, and traces say little alone. Correlation links them with events, configuration changes, and deployments, so a team finds the root cause faster. Part of my observability series.
Software Craft · 3 min -
The Pillars of Observability 2.0: Metrics, Logs, and Traces
Metrics show the health of a system. Logs record what happened. Traces show which component is responsible. Together they give a team one view. Part of my observability series.
Software Craft · 3 min -
From Observability 1.0 to 2.0: Why the Shift is Essential
Dive into the three pillars of observability 2.0 – metrics, logs, and traces – and understand their significance in enabling a comprehensive monitoring strategy.
Software Craft · 3 min