Cost and business impact
Everything we have written on this subject, newest first.
The AI Hype Is Colliding with Reality
MIT studied 300 public AI deployments and found that 95% of enterprise AI pilots deliver no measurable P&L impact. The pattern behind the 5% that work is not better models or bigger budgets. It is specificity: solving one painful operational problem instead of bolting generic AI onto existing workflows.
Read moreThe Real Cost of Database Incidents
When a database goes down, the first question is always "how do we fix it?" The question that rarely gets asked until later, sometimes much later, is "what did that actually cost us?" The answer is usually worse than anyone expected.
Read moreHow to Reduce Database MTTR
The average database incident takes 3 to 5 hours to resolve. Best-in-class teams consistently do it in under 60 minutes. The difference almost never comes down to technical skill. It comes down to whether the investigation workflow exists before the incident does.
Read moreBudget-Ready Infrastructure Report
The report you wish you had when finance asks what you need next year. A sample capacity assessment, showing how Sixta turns database growth into a budget case.
Read moreAI isn't a bubble. It's a correction.
The current AI investment cycle looks different from previous tech bubbles. A look at why the infrastructure layer is where the real value compounds — and what that means for operations.
Read moreThe gap between troubleshooting data and strategic intelligence
As database estates grow more complex, teams cobble together CloudWatch, observability tools, and CUR data — generating data without increasing visibility. Why the next layer of database intelligence needs to work differently.
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