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Datadope Tech Stack

Observability and operational analytics platform built on open-source monitoring stack

IT Services and IT Consulting San Sebastián de los Reyes, Comunidad de Madrid 51–200 employees Founded 2016 Privately Held

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Datadope combines Elasticsearch, Prometheus, and Grafana with Python, Go, and FastAPI to deliver end-to-end monitoring from infrastructure to business metrics. The hiring surge—37 roles posted in 30 days, 14 in sales and 6 in engineering—paired with active projects around real-time dashboards and AI/ML integration pipelines signals aggressive expansion into predictive analytics and managed services.

Tech Stack 49 technologies

Core StackElasticsearch Prometheus Grafana New Relic React TypeScript Tailwind CSS Next.js Python Node.js Go FastAPI Express NestJS GraphQL Prisma GitHub Actions GitLab CI/CD Jest Docker Kubernetes AWS REST SQLAlchemy TypeORM Alembic Pytest Azure Plotly Recharts+19 more

What Datadope Is Building

◆Challenges

Lack of observability
Lack of system visibility
Observability challenges
Improving system observability
Monitoring challenges
Monitoring gaps
Slow problem resolution
Complex system monitoring

▲Active Projects

Designing observability architectures
Poc implementation for observability solutions
Real-time observability dashboards
Backend reusable modules
Poc implementations
Observability solution design
Api integration with data systems and ai metrics
Ai/ml integration pipelines
Api integration for data, ai, and network metrics
Ai-powered frontend features

Hiring Activity

Accelerating35 roles · 35 in 30d

Department

Sales

14

Engineering

6

Seniority

Mid

15

Senior

4

Junior

1

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About Datadope

Datadope is a Spanish observability and operational analytics firm founded in 2016, based in San Sebastián de los Reyes. The company serves mid-market organizations navigating digital transformation, offering monitoring solutions that span infrastructure, application, and business layers. Their stack relies on established open-source tooling (Elasticsearch, Prometheus, Grafana) combined with in-house development in React, TypeScript, and Python to build custom dashboards and anomaly detection. Current project focus centers on designing observability architectures, real-time dashboards, and AI/ML-driven prediction capabilities—areas where prospects report persistent gaps in system visibility and slow incident resolution.

HeadquartersSan Sebastián de los Reyes, Comunidad de Madrid

Company Size51–200 employees

Founded2016

Hiring MarketsSpain

Frequently Asked Questions

What is Datadope's tech stack?

Datadope uses Elasticsearch, Prometheus, and Grafana for core observability, paired with React, TypeScript, Next.js, Python, Go, and FastAPI for frontend and backend development. Infrastructure runs on AWS and Azure with Docker and Kubernetes orchestration.