Grafana Experts in Stuttgart
to turn observability data into clear decisions, matched in minutesHire experts who connect Grafana to Prometheus, Loki and cloud data sources, build useful dashboards, and improve alerting for production systems. FRATCH finds precise matches with vetted, available freelancers quickly.
Meet FRATCH Experts in Stuttgart, who have recently used Grafana
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
Boas B.
Last position:
Technical Leader and Executive Sponsor, AI Solution Assistant
- Product owner and Executive Sponsor for AI Assistant trained on a knowledge base of past solution designs, RFP documents, and current product documentation
- Used by close to 100 global architects and engineers in pre-sales and post-sales
- Generates full solution documents with requirement driven architecture decisions, solution overview, diagrams, bill of material, roles and responsibility matrix
- Technologies: AI, LLM, Chat Bot, RAG, Agentic AI, Vector Databases, Public Cloud
Alban T.
Last position:
C/C++ Developer on AIX Systems for SAP Kernel System Integration at IBM Research and Development
- AIX/Linux system administrator: deployment of LPARs (Logical Partitions) for SAP Kernel Development
- C/C++ SAP kernel development and integration to SAP HANA Database
- C/C++ programming and software integration, support for SAP kernel on AIX system; development and testing on SAP VDI
- Example: development of the ABEC Tool (AIX Build Environment Checker) to create SAP build environments for debugging process and benchmarking
- Benchmarking and test execution of SAP kernels (test from the communication to the SAP HANA Database and to SAP NetWeaver) on AIX
- Automate the SAP kernel build via Jenkins and benchmarking over crontab jobs
- New C/C++ compiler design and testing (based on Clang++ and LLVM)
- Customer ticket handling to resolve SAP kernel bugs and build failures
- SAP kernel development with Rust programming language, migrating some sub-kernel projects from C/C++ to Rust because of Rust's memory safety model, ownership system, and concurrency features
- Refactoring selected components in Rust and integrating them with existing C++ codebase via FFI
Discover over 15,000 top freelancers
Statistics of experts using Grafana
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 18 years)
Position duration
1.4 years (Germany: 1.9 years)
Positions per freelancer
14 (Germany: 12)
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Operations, Product Development
Bachelor's degree or higher
100% (Germany: 90%)
Master's degree or higher
56% (Germany: 55%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
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 Grafana
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.
Grafana 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 (78%)
- Banking and Finance (78%)
- Transportation (56%)
- Government and Administration (56%)
- Tourism (56%)
- Insurance (44%)
- Manufacturing (44%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Grafana does
Grafana is an open-source observability and visualization platform for querying, exploring and presenting data from many sources. Teams use it to build dashboards for metrics, logs, traces and business signals, then share a common view of system health. Grafana Labs maintains the wider product ecosystem, including hosted and enterprise offerings.
Dashboards and alerts
Grafana professionals turn raw telemetry into panels that people can understand and act on. They define queries, variables, transformations, annotations and alert rules, then arrange dashboards for operations, product teams or executives. Good work balances detail with fast diagnosis instead of filling screens with decorative charts.
- Create service, infrastructure and business dashboards
- Configure alert rules, contact points and notification policies
- Build reusable dashboard templates and team workflows
- Connect metrics, logs and traces for incident investigation
Data sources and tooling
Grafana connects to Prometheus, Loki, Tempo, Elasticsearch, InfluxDB, PostgreSQL and many cloud monitoring services. Specialists work with PromQL, LogQL, SQL and source-specific query languages, while provisioning can be managed through files, APIs or Terraform. They also understand authentication, folders, permissions and version-controlled configuration.
When expertise matters
Companies often bring in freelance Grafana expertise when observability is fragmented, dashboards have become hard to maintain or alerts create too much noise. This is common during cloud migrations, Kubernetes rollouts, platform consolidation and the introduction of service-level objectives. In Stuttgart, experts may support manufacturing, mobility, software and other teams remotely or in person, depending on the operating model.
- Standardize dashboards across teams and environments
- Reduce alert noise and clarify ownership
- Migrate dashboards between Grafana installations
- Prepare observability for a new platform or product
What strong specialists deliver
Strong professionals begin with the questions an operator needs answered, not with a favorite panel type. They design clear labels and units, choose efficient queries, test alerts against realistic failure modes and document ownership. They can explain trade-offs to both technical teams and stakeholders, and collaborate effectively in English and, where useful, German-speaking Stuttgart environments.
Choosing the right fit
Look for evidence of production dashboards, alert design and hands-on work with the data sources in your stack. Ask how the specialist handles cardinality, query performance, access control, dashboard as code and troubleshooting across metrics, logs and traces. The right fit can leave behind maintainable assets, a clear operating model and a team that knows how to extend the setup.
Frequently asked questions
Everything clients usually want to know about Grafana, in one place.
Grafana is used to query and visualize metrics, logs, traces and other time-based data in dashboards. Companies use it for observability, incident response, capacity planning, service-level monitoring and selected business reporting.
Grafana is often chosen for its broad data-source support and flexible dashboarding across different systems. Kibana is closely tied to the Elastic stack, while cloud consoles can offer deeper native integration; the best choice depends on data location, query needs and operating preferences.
A strong Grafana specialist usually understands Prometheus, Loki, Tempo, Kubernetes, Terraform and at least one major cloud environment. Knowledge of PromQL, LogQL, SQL, alert routing and incident management is also valuable.
The right Grafana experience depends on the scope, data sources and operational risk, not on a fixed number of years. A dashboard refresh may need focused product and query skills, while an observability platform requires production alerting, access design, automation and migration experience.
Grafana projects are usually suitable for remote collaboration because dashboards, provisioning files and queries can be reviewed asynchronously. On-site sessions in Stuttgart can still help when teams need workshops around incident processes, ownership or complex production environments.
Ask a Grafana professional to show how they turn an operational question into a dashboard and an actionable alert. Review query efficiency, naming, permissions, documentation and whether their deliverables can be maintained by the internal team.
Grafana can present application telemetry, database data, logs, traces and selected business indicators when suitable data sources are available. A specialist should confirm data freshness, access rights, query performance and whether the visualization supports a real decision.
A good Grafana dashboard has a clear purpose, useful time ranges, consistent units, meaningful labels and a visual hierarchy that supports quick diagnosis. It should link related metrics, logs or traces where possible and avoid panels that do not lead to an action.
The average hourly rate of freelancers in Stuttgart, Germany who have used Grafana in their recent projects is 108 €, which corresponds to a daily rate of about 864 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Grafana in their recent projects, 100% hold at least a Bachelor's degree and 56% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Grafana in their recent projects have 14 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 Grafana in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Stuttgart, Germany who have used Grafana in their recent projects are Information Technology (100%), Automotive (78%), and Banking and Finance (78%).
The most common business areas among freelancers in Stuttgart, Germany who have used Grafana in their recent projects are Information Technology (100%), Product Development (89%), and Operations (78%).
Main locations of FRATCH Experts, who have recently used Grafana
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 
Nuremberg Countries:
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Philipp Thomaschewski
FRATCH CEO
