"When a problem occurs, the first question that usually gets asked is, 'Where is the log of that happening?' Back in the before times, you'd have to pore over the log, line by line, searching for exactly what happened for clues into the source of the problem."
"The real value of logs lies in an agent's ability to peer into them in real time and take action based on what it sees. It won't be long until, whenever a problem occurs, an MCP server will notify an AI agent and the agent will analyze the problem, fix it, and deploy the fix, all without human intervention."
"Producing and owning the data beats being able to interpret the data. Tools that produce the data can lean into the AI revolution."
AI transforms log examination by rapidly analyzing logs to identify problems, reducing the time spent searching for clues. Tools like Datadog excel by owning the data ingestion pipeline and leveraging AI for real-time analysis and action. The future will see AI agents autonomously diagnosing and fixing issues without human intervention. The ability to produce and manage data is becoming more critical than simply interpreting it, as tools that generate data can better adapt to the AI landscape compared to those that only display existing data.
Read at InfoWorld
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