AI - Powered Observability and Security

See inside any stack, any app, at any scale, anywhere.

Fidelis Aimah 

G00485477@atu.ie

Operating Systems and Cloud Computing Project

SAMSUNG
KOREAN AIR
HashiCorp
INTRODUCTION

Datadog

is an American company that provides full-stack Observability services for cloud scale applications, is a leading SaaS-based cloud monitoring platform used by various companies worldwide to monitor servers, applications, databases, containers, tools, cloud services and security services in real time. The platform helps tech teams see what's happening in their complex cloud environments in real-time through dashboard metrics, logs, traces, and alerts all within a single cloud hosted solution.
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About
Datadog was founded in New York City in 2010 by Oliver Pomel and Alexis Le-Quoc, both were engineers who met while undergraduates at Ecole Centrale Paris, and later worked together for 9 years at Wireless Generation. After Wireless Generation was acquired by NewsCorp, the two set out to create a product that would reduce the friction they experienced between developer and system administration teams, who were often working at cross-purposes.
Datadog launched its initial infrastructure monitoring product in 2012, quickly gaining traction and grew rapidly and expanded its product offerings to cover service providers including AWS, Microsoft Azure, Google Cloud Platform, Red Hat OpenShift, VMare and OpenStack. Over the years, the company expanded into: APM (Application Performance Monitoring) – 2017 Log Management – 2018 Security Monitoring – 2020 Cloud SIEM – 2021 Synthetic Monitoring – 2022 CI Visibility – 2022 Universal Service Monitoring – 2023 Today, Datadog is a publicly traded company (NASDAQ: DDOG) and a major leader in cloud observability, serving over 26,000 customers globally.

Unified Observability Platform

Datadog integrates metrics, logs, traces, network data, security signals, and events into a single platform.

600+ Integrations

Supports AWS, Azure, Google Cloud, Kubernetes, Docker, Nginx, MySQL, Oracle DB, Redis, Kafka, and more.

Live Dashboards

Real-time visual dashboards with drag-and-drop widgets.

APM & Distributed Tracing

Tracks requests across microservices and identifies slow or failing components.

Machine Learning Alerts

Anomaly detection and forecasting using ML.

Infrastructure Monitoring

Monitors CPU, memory, disk, and resource usage for servers and containers.

Synthetic Monitoring

Tests website and API availability from global locations.

Security Monitoring

Provides threat detection, vulnerability assessments, and cloud security posture management.

Log Management

Scalable, cloud-hosted log analytics with pattern detection.

Datadog by the Numbers (2024-2025)

  • Revenue: USD $2.1 billion annually
  • Market Share in Observability: ~15%
  • Customers: Over 26,000 companies globally
  • Integrations: 600+
  • Employees: ~5,000
  • Cloud Coverage: AWS, Azure, GCP
  • Notable Clients:
    • Airbnb
    • Samsung
    • Peloton
    • Shopify
    • Deloitte
    • Nintendo

Market Growth

The global cloud monitoring market is projected to reach $8.6 billion by 2028, with Datadog remaining a top market leader.

Industry Position

Datadog competes with:

  • New Relic
  • Dynatrace
  • Splunk
  • Elastic Stack

Its SaaS-first architecture gives it an advantage in scalability and ease of deployment.

Datadog Cloud Monitoring Flowchart
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