Grafana Experts in Stuttgart
in minutes from over 15,000 CVs with the power of AI.Hire experts who design Grafana dashboards, connect Prometheus, Loki and Tempo, and turn metrics, logs and traces into clear views. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Stuttgart, who have recently used Grafana
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
Boas Betzler
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 Tchuinkou
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: 2 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: 54%)
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 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Dashboards
Grafana turns telemetry into dashboards that teams can read fast. It is used to monitor application health, infrastructure, business services and technical SLAs in one place. Strong experts know how to shape panels, variables, alert views and drill-down paths so people can act on what they see.
Data sources
Grafana is rarely used alone. It connects to Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, PostgreSQL and many other sources, which makes integration work a core skill. Companies bring in specialists when they need clean queries, stable data models and dashboards that pull from several systems at once.
Typical work
- Design service and infrastructure dashboards
- Connect metrics, logs and traces
- Build alerting and notification flows
- Tune queries for speed and clarity
- Set up role-based access and folders
When teams need help
Teams often look for freelance Grafana professionals when monitoring is fragmented, alert noise is high, or a migration is under way. The same applies when a platform grows fast and existing views no longer fit operations, security or management needs. In Stuttgart, this work often supports industrial, software and mobility environments that rely on clear observability.
What strong specialists do
Good Grafana specialists think in operations, not only in charts. They choose the right panel types, keep labels consistent, reduce noisy alerts and document how teams should use each dashboard. They also understand Grafana OSS and Grafana Enterprise well enough to work with access control, reporting and multi-team setups.
Delivery and collaboration
Grafana work is often remote, because most tasks can be done against staging or observability stacks. On-site collaboration helps when workshops are needed for shared dashboard standards, incident reviews or handover with local teams in Stuttgart. The best freelancers communicate clearly with platform, DevOps and product stakeholders and keep changes easy to maintain.
Frequently asked questions
Everything clients usually want to know about Grafana, in one place.
Grafana is used to visualize metrics, logs and traces in a way teams can act on quickly. Companies use it for infrastructure monitoring, application health, service dashboards and alert review. It is especially useful when many systems need one clear view.
Grafana is often chosen for flexible dashboards and broad data-source support, especially with Prometheus and Loki. Kibana is tightly tied to the Elastic stack, while Datadog is a managed observability suite with more built-in services. The best choice depends on how much control you want over data, cost and tooling.
A strong Grafana specialist usually knows Prometheus, Loki, Tempo, alerting rules, query languages and dashboard design. Scripting, Linux, cloud platforms and incident workflows are also useful. For larger setups, access control and folder structure matter as much as the charts.
A small dashboard cleanup may only need focused Grafana expertise, while a full observability rollout needs someone who understands data sources, alerting and team workflows. If the work touches production alerts or shared operations views, choose a specialist who has handled live environments before. That reduces noise and rework.
Yes, most Grafana work can be done remotely because dashboards, queries and alerts are usually built in shared environments. On-site sessions can still help when teams need workshop-style alignment on standards, incident processes or governance. Many Stuttgart companies use a mix of both.
A good Grafana dashboard answers a clear operational question and avoids clutter. It uses the right panels, sensible labels, useful variables and drill-down paths that help people move from symptom to cause. If a dashboard needs a long explanation, it is usually too complex.
Ask for examples of real Grafana work that match your stack, such as Prometheus, Loki or Tempo integrations. Review how the specialist handles alerts, naming, permissions and documentation. You want someone who can improve observability without creating more noise.
No, Grafana is also used for product analytics, business KPIs, release tracking and service-level reporting. It works well anywhere teams need time-based data from multiple sources in one view. That flexibility is one reason it appears in both technical and business teams.
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 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
