Grafana Mimir Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Grafana Mimir
Kevin Fischer
Last position:
DevOps and Platform Engineer at DB Systel GmbH
- Error analysis and fixes including performance optimization of the in-house developed platform API
- Change and incident management in day-to-day operations
- Responsible for compliance with security and compliance requirements
- Vendor management for software development and maintenance
- Planning and execution of migration of legacy services to a cloud native platform
Role in the project: project staff, implementation team
Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management
Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)
Daniel Sedlack
Last position:
Senior Software Engineer at energielenker solutions GmbH
- Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
- Defined time-based and dependency-based jobs
- Deployed to managed Kubernetes clusters using Helm
- Integrated InfluxDB Cloud
- Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
- Developed dashboards and visualizations in Grafana
- Developed unit tests with mocking using pytest
- Set up a CI/CD pipeline in GitLab
Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud
Patrick Eichler
Last position:
Honorary Lecturer at SRH University Berlin
- Cloud Computing Fundamentals & Architecture: Expertise in core cloud concepts, including the three main Service Models (IaaS, PaaS, SaaS) and diverse Deployment Models (Public, Private, Hybrid, Multi-cloud).
- Modern Application Deployment Strategies (GCP Focus): Instruction on the GCP Application Hosting Spectrum, covering Virtual Machines, Containers (Kubernetes and Cloud Run), Platform as a Service (App Engine), and Serverless Computing (Functions as a Service - FaaS).
- Data Management & Big Data Analytics: Comprehensive coverage of Cloud Storage options (Object, Block, File) and Database solutions, including Relational (Cloud SQL), NoSQL (Firestore, BigTable, Memorystore), and serverless enterprise data warehousing (BigQuery).
- DevOps and Infrastructure Automation: Skills in DevOps principles, including Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC) using tools like Terraform, and implementing effective Monitoring and Logging for system observability.
- Emerging Technologies & Responsible Cloud Use: Focus on crucial topics like Cloud and IoT Security, Identity and Access Management (IAM), data privacy, and the ethical considerations of cloud and massive data collection.
Oluwasegun Adebayo
Last position:
Observability Specialist at ING GmbH
- Requirements analysis for the enterprise-wide observability platform.
- Creation of playbooks and pipelines for rolling out Envoy, OpenTelemetry Collectors, and OpenTelemetry Agents.
- Conducting load tests for capacity planning of metrics for the observability platform.
- Documentation and implementation of compliance standards for production readiness.
- Creation and design of RED metrics, spanmetrics, JBoss, and Tomcat dashboards for mission-critical applications.
- Setting up alerts for critical applications for proactive incident response.
- Integration of OpenShift applications into the enterprise-wide observability stack.
Amogha Sathyanarayana
Last position:
Senior Product Manager - OS, platform, IAM at Aleph Alpha GmbH
- Leading the product lifecycle for sovereign AI platform and operating system teams for enterprise & government clients and internal stakeholders (infra, solution delivery, support, revenue)
- Built and scaled the platform from a 200-user beta to a full rollout of 70K+ members at the Bundesagentur für Arbeit (BA), secured with ISO 42001 and EU AI Act compliance
- Architected the shift to a multi-tenant shared inference, increasing GPU cluster utilization from 20% to 85% and reducing infrastructure cost-to-serve by 40% for SaaS clients
- Shipped model quantization, allowing clients to run advanced LLMs on legacy hardware (A100s GPUs) instead of the H100s, saving upwards of 70% cost per enquiry
- Abstracted complex Helm configurations into a dynamic model manager, reducing the time to install or swap models by ~80%
- Killed an expensive move to build own dashboard service, pivoting to an API-first data strategy that clients can consume directly and saving €100Ks in opex and capex
- Built a safety-first agent marketplace and control plane lighthouse project for a Tier-1 bank, allowing internal teams to deploy autonomous agents within strict regulatory guardrails
Thomas Ramm
Last position:
Architect, Developer at Oberlandesgericht Stuttgart – IuK FZ Justiz
Backend development including architecture
Creating a documentation platform
Training employees in Java/Git/Container
Exploring new technologies
Tools: IntelliJ
Tools: Git
Languages and technologies: Java 21
Languages and technologies: Spring Boot 3.4
Languages and technologies: Oracle DB
Languages and technologies: Websockets/REST
Languages and technologies: JSON
Languages and technologies: Liquibase
Languages and technologies: Keycloak
Languages and technologies: OAuth2
Languages and technologies: Docker/Podman
Languages and technologies: OpenShift
Languages and technologies: Micrometer/OpenTelemetry
Languages and technologies: Grafana Loki
Languages and technologies: Grafana Mimir
Languages and technologies: Grafana Tempo
Languages and technologies: Grafana dashboards
Languages and technologies: Vue.js 3
Discover over 15,000 top freelancers
Statistics of experts using Grafana Mimir
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
1.8 years
Positions per freelancer
9
Top business areas
Information Technology, Operations, Product Development
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Operations, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
80%
Certifications per freelancer
6
Most common languages
German, English
Speak two or more languages
100%
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 Germany 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 Germany using Grafana Mimir
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
Metrics at scale
Grafana Mimir is built for large Prometheus metric backends. It stores time series data, handles fast ingestion, and supports long-term retention with queryability across many tenants. Teams use it when standard Prometheus setups no longer fit the load or the retention needs.
What it runs
It is common in cloud platforms, SaaS products, and internal operations stacks where many services emit metrics. Strong specialists know how to shape ingestion, compaction, query paths, and multi-tenancy so the system stays predictable under pressure.
Core pieces
- Distributor, ingester, querier, and store-gateway roles
- Object storage backends and cache layers
- Prometheus remote write and query APIs
- Alerting and dashboarding through Grafana
- Capacity planning for sharding and retention
When to bring in help
Companies bring in freelance experts when a metrics platform needs to be designed, repaired, or scaled. Common triggers include noisy queries, slow dashboards, unstable ingesters, and storage costs that are hard to control. In Germany, this often comes up in teams that already run Grafana and Prometheus and need a stronger central metrics layer.
What good specialists do
Good Mimir professionals understand PromQL, Prometheus architecture, distributed storage, and Kubernetes operations. They can read metrics traffic patterns, spot bottlenecks, and align rules, alerts, and retention policies with how the business actually observes systems.
Delivery outcomes
A strong engagement usually ends with a clean metrics backend, clear runbooks, and a setup the team can operate without guesswork. That may include migration from Cortex, safer multi-tenant isolation, improved query performance, and documentation for day-to-day use by platform and SRE teams.
Frequently asked questions
Need clarity? These are the questions we hear most often about Grafana Mimir.
Grafana Mimir is used to store, query, and retain Prometheus-style metrics at larger scale than a single Prometheus server is meant to handle. It fits teams that need central metrics for many services, long retention, and multi-tenant access. The usual goal is a stable metrics backend that Grafana can read quickly.
Mimir is usually not a full replacement for Prometheus at the edge. Prometheus still scrapes targets and powers local alerting in many setups, while Mimir acts as the central long-term metrics store and query layer. Many teams run both together.
Grafana Mimir is the newer project name for the Prometheus-compatible metrics backend that grew out of Cortex. If you see Cortex in an older system, the architecture and operational questions are often very similar. A good specialist should be able to work with both the older and newer naming.
A strong Grafana Mimir freelancer usually also knows Prometheus, Grafana, Kubernetes, object storage, and Linux operations. Familiarity with PromQL, remote write, alerting rules, and distributed system debugging helps a lot. Those skills matter because Mimir is rarely used in isolation.
For a small tuning task, a specialist who has operated Grafana Mimir before can be enough. For a migration, multi-cluster rollout, or query-performance issue, you want someone who has handled real production failure modes. The more data volume and tenants you have, the more practical experience matters.
Yes. Mimir work is often remote-friendly because most tasks center on configuration, metrics analysis, and infrastructure access rather than local presence. For German teams, remote collaboration works well when the specialist can communicate clearly, join planning calls, and document decisions in English or German as needed.
Look for someone who can explain ingestion, query, storage, and retention in plain words and tie each choice to an operational trade-off. A strong Grafana Mimir specialist should ask about tenant structure, query load, object storage, and backup or recovery needs before proposing changes. Clear runbooks and clean handover are good signs.
Teams usually need Grafana Mimir help when dashboards lag, ingesters become unstable, retention is unclear, or costs rise without a clear reason. Another common sign is a migration from a smaller Prometheus setup to a shared metrics backend. If operators avoid touching the system because it feels fragile, it is time to bring in help.
The average hourly rate of freelancers in Germany who have used Grafana Mimir in their recent projects is 106 €, which corresponds to a daily rate of about 848 € based on an 8-hour working day.
Of the freelancers in Germany who have used Grafana Mimir in their recent projects, 100% hold at least a Bachelor's degree and 80% hold at least a Master's degree.
On average, freelancers in Germany who have used Grafana Mimir in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Germany who have used Grafana Mimir in their recent projects are German (100%) and English (100%).
The most common industries among freelancers in Germany who have used Grafana Mimir in their recent projects are Information Technology (100%), Banking and Finance (50%), and Professional Services (50%).
The most common business areas among freelancers in Germany who have used Grafana Mimir in their recent projects are Information Technology (100%), Operations (83%), and Product Development (67%).
Main locations of FRATCH Experts, who have recently used Grafana Mimir
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 Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
