Prometheus Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used Prometheus
Sercan Tatar
Last position:
Co-Founder & Lead Software Architect at Pflege-Pfad
- Focus: system architecture, cloud-native platforms, microservices, API design
- Product: Pflege-Pfad is a digital matchmaking platform that connects relatives of people in need of care directly with verified care services and caregivers - without an agency and without ongoing fees.
- Business analysis & process design:
- Analysis of the German care market and identification of the key pain points of both target groups.
- Modeling of the core business processes: registration, verification, care request, application, placement, and rating.
- Definition of the business model as a freemium/premium model with optional contact unlocking.
- Creation of user stories and requirements documentation for relatives, care services, and administrators.
- Design of trust and quality assurance mechanisms with document upload, admin review process, and rating system.
- Coordination with stakeholders and validation of product decisions with potential users.
- Technical implementation:
- Design and implementation of the entire platform architecture as a solo developer.
- Design and implementation of a REST API with Spring Boot and Kotlin, including JWT-based authentication.
- Development of the frontend as a single-page application with Angular 17.
- Implementation of the AWS infrastructure with EC2, RDS PostgreSQL, S3, CloudFront, and IAM.
- Document upload with AWS S3 via presigned URLs for verification of care services.
- Email notifications via Resend API.
- AI-supported care service search via OpenAI API.
- Implementation of complete user flows such as registration, login, password reset, and placement process.
- Building an admin panel for user and care service management as well as analytics.
- CI/CD with GitHub Actions and containerized deployments with Docker.
- End-to-end tests with Playwright.
Technologies: Kotlin, Spring Boot 3, Spring Security, JWT, JPA/Hibernate, PostgreSQL, Angular 17, TypeScript, RxJS, AWS (EC2, ECS, S3, CloudFront CDN, RDS PostgreSQL, IAM), nginx, GitHub Actions, Playwright, Maven, Git, OpenAI API, Resend API, Docker, Scrum, i18n (DE/EN/TR), Kiro, feature-flag architecture.
Salim Chehab
Last position:
Cloud / Systems Architect
- Development and introduction of operational processes
- Preparation of complete documentation packages (including emergency management and operations) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Professional consulting for the project's security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Design of hybrid cloud architecture (on-prem, Hetzner, AWS)
- Analysis and resolution of incidents and system outages
- Network changes to firewall rules, gateways, OpenVPN settings, and IPsec tunnel (pfSense)
- Professional consulting on BitBucket, Jenkins, and GitLab CI/CD pipelines
- Consulting on Ansible deployments and infrastructure automation
- Consulting on building a scalable system in the cloud (AWS / Azure)
- Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Artyom Narimanyan
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Robin Sadlo
Last position:
Senior Cloud & Backend Engineer at Media-Saturn-Holding GmbH
- Implementing applications with Kotlin and Ktor as microservices
- Using MongoDB in the MongoDB Atlas cloud
- Asynchronous communication of services via Google Pub/Sub
- Using Kotest and MockK for unit tests
- Developing an administration frontend with TypeScript, React and Express.js
- Provisioning environments in GCP using Terraform
- Implementing CI/CD processes with GitHub Actions
- Operating scalable production and test environments in GCP with Kubernetes, Helm and Flux CD
- Monitoring environments with Prometheus and Grafana
- Providing BI data in the Google BigQuery data warehouse
Lothar Hinsche
Last position:
Solution Manager for PoC investigation and for replacing and refining an existing cloud and IoT power plant control system at Shell AG and NEXT Kraftwerke GmbH
- Investigating the PoC and replacing and refining an existing cloud and IoT power plant control solution for certificate management of renewable energy plants (solar, wind, biomass, etc.) for the largest European renewable energy network operator, including examining the field IoT devices and their integration and network connections, aiming for automated PKI key management.
- Messaging with Kubernetes for large API-connected enterprise applications
- Risk and attack vector analysis, software quality & bug assessments
- Agile workload scheduling via Jira & Confluence
- Evaluation of pub/sub message streams for MQ and Kafka.
- Various tests with “best design approaches” for resilience patterns like circuit breaker designs, throughput measurement and monitoring, bulkhead governors – for robust EA design
- Integration of API management with IBM's API Connect to Kubernetes for platform-agnostic microservices API management designs. Google Apigee
- Solution health check approaches for load burst situations + remedy
- Research and evaluation of potential sub-service providers in the coordinating role as solution manager. CIS20 controls.
- DREAD and STRIDE security assessments.
Achille Chimi
Last position:
Backend/Frontend Developer at ITZ-Bund
Development of a microservice application for calculating postings on accounts
Development of backend components with Java or JEE, Quarkus, Kafka, Rest API
Development of the test component with mocking frameworks (Mockito)
Development of integration test components
Creation of OpenAPI specification format
Configuration of CI/CD pipeline
Development of frontend components with React
Design, further development and optimization of system structures
Code review
Java Corretto 21, JEE, Quarkus, Golang
Reactive programming with Spring WebFlux, Project Reactor
Git, Azure DevOps for CI/CD pipeline, YAML, Json Swagger UI, Postman, Rest OpenAPI, Kafka Streams, Kafka Connect, Log4J
Microservices, Jira, Confluence, MySQL, Docker, Kubernetes (deployment via Helm charts)
Spring Security, OAuth 2, JWT, Sonarqube
IntelliJ, Maven, logging framework Splunk, Agile method Scrum, Nexus, Vaadin V24, build tool Vite
React, React.JS, Node.js, Jess/JavaScript, Tailwind CSS, Agile method Scrum, accessibility BITV, Playwright
Benjamin Schaich
Last position:
Design and implementation of a new cloud service at Porsche AG
- Design of a new cloud service
- Requirements Engineering
- API Design (REST API, Kafka)
- Consulting on architecture, feasibility and effort estimation
- Implementation of a microservice architecture
- Implementation of a Spring Boot web service
- Development of REST APIs including business and persistence logic
- Kafka consumers and producers
- Various Excel upload/download scenarios
- Change Data Capture
- Cloud provisioning with IaC/Terraform
- Go-live with 30,000 users
- Operation, support and bug fixing for other services
Environment/tools: GitLab, JIRA, Confluence, IntelliJ, Spring Boot, Java, Docker, Terraform, AWS ECS, Postgres, Apache Kafka, SAP Datasphere, JUnit, Debezium, Apache POI, Hibernate, JPA, Testcontainers
Discover over 15,000 top freelancers
Statistics of experts using Prometheus
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 17 years)
Position duration
1.4 years (Germany: 1.9 years)
Positions per freelancer
15 (Germany: 12)
Top business areas
Information Technology, Operations, Product Development
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Operations, Project Management
Bachelor's degree or higher
100% (Germany: 89%)
Master's degree or higher
57% (Germany: 53%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Stuttgart are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Stuttgart using Prometheus
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Monitoring core
Prometheus is an open-source monitoring system for metrics-based observability. It collects time-series data from apps, infrastructure, and services, then helps teams track health, load, and failures before users feel them.
Querying data
PromQL is the query language most teams rely on with Prometheus. Strong specialists build useful queries for dashboards, alerts, SLO views, and incident triage, not just raw metric collection.
Common stack
- Prometheus server setup and rule design
- Alertmanager routing and notification logic
- Grafana dashboards and metric views
- Exporters for databases, systems, and services
- Kubernetes and cloud monitoring integration
When to bring help
Companies bring in freelance Prometheus experts when monitoring is noisy, incomplete, or hard to trust. Typical work includes replacing brittle alerts, cleaning metric names, modeling service health, and improving visibility for on-call teams. In Stuttgart, this often matters for manufacturing software, mobility, logistics, and other systems that need stable operations.
What good specialists do
Strong professionals think in signals, labels, and alert behavior. They know how to reduce high-cardinality pressure, choose the right metrics, and make dashboards that answer real questions instead of repeating the same data in different charts.
Delivery focus
Good work with Prometheus is practical and measurable. It usually ends in clearer alerting, better dashboards, cleaner instrumentation, and documentation that helps teams maintain the setup after the project. For Stuttgart teams, that also means working smoothly with local stakeholders or remote engineering groups when needed.
Frequently asked questions
Need clarity? These are the questions we hear most often about Prometheus.
Prometheus is used to collect and query metrics from services, hosts, containers, and infrastructure. Companies use it to spot load changes, failed jobs, slow requests, and unhealthy components before they become outages. It is a fit for teams that want time-series monitoring they can control themselves.
Prometheus handles metric collection, storage, and querying, while Grafana is mainly used for visualization. Datadog is a managed observability suite, so the trade-off is control versus convenience. Many teams use Prometheus with Grafana, and choose it when they want an open-source stack and flexible alerting.
A strong Prometheus specialist usually also knows Grafana, Alertmanager, Linux, and Kubernetes. PromQL matters a lot, as do metric naming, instrumentation, and alert design. For service-heavy systems, experience with exporters and cloud monitoring tools is also useful.
Prometheus work can be small or deep, depending on the goal. A short engagement may cover dashboard cleanup or alert tuning, while a larger one can include full monitoring design across many services. The right expert should be able to explain trade-offs, not just create charts.
Prometheus help makes sense when alerts are noisy, dashboards do not answer operational questions, or teams cannot trust the metrics they see. It is also useful when a platform move, Kubernetes rollout, or service redesign changes what should be monitored. External specialists can fix the setup without slowing the product team.
Prometheus work fits remote collaboration well because most tasks are configuration, query writing, and review-based. Stuttgart teams often combine local workshops with remote delivery, especially when the monitored systems are shared across sites. If on-site access matters, a specialist should still be comfortable working with local operations and German-speaking stakeholders.
A good Prometheus freelancer asks about the service architecture, failure modes, and what operators actually need to know. Look for clear PromQL, sensible alert thresholds, good label choices, and dashboards that stay readable under pressure. Strong experts also leave clean documentation and explain how the setup will be maintained.
Prometheus is better when you need continuous numeric signals, such as request latency, queue depth, memory use, or error rates. Logs are still important, but they are less efficient for trend tracking and alerting. Most reliable setups use Prometheus for metrics and logs for detail.
The average hourly rate of freelancers in Stuttgart, Germany who have used Prometheus in their recent projects is 110 €, which corresponds to a daily rate of about 881 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Prometheus in their recent projects, 100% hold at least a Bachelor's degree and 57% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Prometheus in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Stuttgart, Germany who have used Prometheus in their recent projects are German (100%), English (100%), and French (29%).
The most common industries among freelancers in Stuttgart, Germany who have used Prometheus in their recent projects are Information Technology (100%), Automotive (86%), and Banking and Finance (86%).
The most common business areas among freelancers in Stuttgart, Germany who have used Prometheus in their recent projects are Information Technology (100%), Operations (86%), and Product Development (86%).
Main locations of FRATCH Experts, who have recently used Prometheus
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
