How Datadog Monitors the Modern Cloud Stack

What this episode covers

Lucas and Luna explore how Datadog became the dominant observability platform for cloud-native companies, with over 3,000 enterprise customers monitoring applications, infrastructure, and logs in real time. They break down the company's shift from a simple monitoring tool to a full-stack observability suite, the economics of its usage-based pricing model, and the competitive landscape against rivals like New Relic and Grafana. Learn how Datadog's 2025 move into AI-powered anomaly detection and incident management is reshaping the market, and why its revenue growth has stayed above 35% year-over-year despite macro headwinds. The episode also touches on how startups can leverage observability data to reduce downtime and optimize cloud costs. #Datadog #Observability #CloudMonitoring #SaaS #DevOps #APM #IncidentManagement #InfrastructureMonitoring #LogManagement #NewRelic #Grafana #AIAnomalyDetection #UsageBasedPricing #EnterpriseSoftware #CloudNative #Startups #Business #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo

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How long is this episode of Tech Startups with Fexingo: Founders, Funding, and Software Companies Explained?

This episode is 8 minutes long.

When was this Tech Startups with Fexingo: Founders, Funding, and Software Companies Explained episode published?

This episode was published on June 18, 2026.

What is this episode about?

Lucas and Luna explore how Datadog became the dominant observability platform for cloud-native companies, with over 3,000 enterprise customers monitoring applications, infrastructure, and logs in real time. They break down the company's shift from a...

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