Prometheus Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used Prometheus
Sercan T.
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 C.
Last position:
Cloud / Systems Architect
- Development and introduction of operations processes
- Preparation of complete documentation packages (including incident management and operations support) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Technical consulting for the project security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Hybrid cloud architecture design (on-prem, Hetzner, AWS)
- Analysis and troubleshooting of incidents and system outages
- Network adjustments for firewall rules, gateways, OpenVPN settings, and IPsec tunnels (pfSense)
- Technical 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 N.
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 S.
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 H.
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.
Benjamin S.
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
Achille C.
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
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 19 Sep 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Prometheus experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Automotive (86%)
- Banking and Finance (86%)
- Transportation (57%)
- Government and Administration (57%)
- Tourism (57%)
- Insurance (43%)
- Manufacturing (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Prometheus at a glance
Prometheus is the standard choice for metrics-based monitoring. It collects time-series data from services, infrastructure, and Kubernetes, then helps teams spot load, errors, saturation, and SLO risks early. Companies use it to keep production systems visible and actionable.
What experts deliver
- Metric design for services, jobs, and infrastructure
- Scrape configuration, recording rules, and alert rules
- Dashboards and alert workflows with Grafana and Alertmanager
- Kubernetes monitoring with exporters and service discovery
Strong professionals focus on signal quality, not just setup. They know how to reduce noisy alerts, choose useful labels, and keep queries fast as the metric set grows.
Ecosystem and tools
Prometheus rarely stands alone. It is often used with Grafana for dashboards, Alertmanager for routing alerts, exporters for system and application metrics, and Kubernetes for service discovery. Many teams also combine it with OpenMetrics and remote storage for long-term retention.
When companies bring in help
Freelance expertise is useful when a stack is growing, alerts are unreliable, or a migration needs careful planning. Teams also bring in specialists for Prometheus in Stuttgart when local manufacturing, mobility, and software companies need on-site workshops, while day-to-day tuning can stay remote.
What strong specialists know
A good Prometheus professional understands scrape intervals, labels, cardinality, PromQL, and alert design. They can read infrastructure patterns, trace a noisy metric back to its source, and explain trade-offs clearly to product and operations teams.
Typical project fit
- New observability setups for microservices
- Cleanup of existing Prometheus monitoring stacks
- Migration from ad hoc scripts or mixed tools
- Better alerting for production and incident response
Prometheus is most effective when the monitoring model matches the system. The right expert turns raw metrics into a setup teams can trust during releases and incidents.
Frequently asked questions
Need clarity? These are the questions we hear most often about Prometheus.
Prometheus is used for collecting and querying metrics from applications, services, and infrastructure. It helps teams detect problems such as rising latency, error spikes, or resource exhaustion before users feel the impact. It is a core choice for observability in modern systems.
Prometheus often appears in searches as “Prometheus monitoring,” but the product itself is the metrics system behind that phrase. It stores time-series data, evaluates alert rules, and works with tools like Grafana and Alertmanager. Companies usually hire specialists to design the whole monitoring flow, not just install the server.
Prometheus is a metrics collection and alerting system, while Grafana is mainly used for visualization. Datadog is a broader hosted observability suite with many built-in services. Teams choose Prometheus when they want strong control, open tooling, and a setup that fits Kubernetes and cloud-native environments.
A strong Prometheus specialist should also know PromQL, Alertmanager, Grafana, and exporter-based metric collection. Kubernetes knowledge helps a lot because many Prometheus setups rely on service discovery and container metrics. Linux, networking, and application performance basics are useful too.
A small Prometheus setup may only need someone who can define targets, labels, dashboards, and basic alerts. A larger platform project needs deeper skill in query design, rule testing, metric cardinality, and long-term storage. The more services and teams involved, the more valuable an experienced specialist becomes.
Yes, Prometheus work is often well suited to remote collaboration because most tasks involve configuration, queries, and reviews. In Stuttgart, some teams still prefer on-site workshops for infrastructure reviews or observability design sessions. A mixed setup often works best when local stakeholders want closer coordination.
Look for a Prometheus professional who can explain why a metric matters, not just how to collect it. Good signs are clean label design, practical alert rules, readable PromQL, and a clear approach to reducing noisy alerts. Ask for examples of production systems they have stabilized or improved.
Ask which services need monitoring, which alerts are truly urgent, and how metrics should be stored and retained. A Prometheus specialist should also clarify whether the stack needs Kubernetes integration, Grafana dashboards, or Alertmanager routing. Clear scope at the start prevents a noisy and fragile setup later.
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 Countries:
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Philipp Thomaschewski
FRATCH CEO
