Why 2016 is the year of monitoring at scale
Datadog | The Monitor blog

Why 2016 is the year of monitoring at scale


Summary

This article explains the founding vision of Datadog, built on the prediction that modern IT infrastructure would become significantly more complex due to the rise of Agile development and cloud computing. Datadog was designed to address this increased complexity, specifically the exponential growth in infrastructure units, code changes, interacting engineers, and diverse technologies. The authors believe 2016 marked the beginning of an era of "Monitoring at Scale" as cloud adoption accelerated and traditional monitoring tools became insufficient.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
2
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 78 views

3
Understand session replays faster with AI summaries and smart chapters
Understand session replays faster with AI summaries and smart chapters

Datadog | The Monitor blog Apr 2, 2026 70 views

4
Monitoring MongoDB performance metrics (MMAP)
Monitoring MongoDB performance metrics (MMAP)

Datadog | The Monitor blog May 25, 2016 70 views