Grafana Mimir Experts in Germany
matched in minutes from over 15,000 CVs with the power of AIHire experts who design scalable metrics platforms, connect Prometheus and OpenTelemetry data, and operate highly available Mimir clusters. FRATCH matches you quickly and precisely with vetted, available freelancers for your observability work.
Meet FRATCH Experts in Germany, who have recently used Grafana Mimir
Kevin F.
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)
Serge K.
Last position:
Data Scientist & MLOps (Machine Learning Operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
- Development of feature store and data synchronization between environments
- Data science: evaluation of different forecasting models, including CatBoost, Contextual Gamma and Random Forest; implementation of training pipelines using Kubeflow on Vertex AI; scaling and development of an event-driven interface using Kafka as a forecasting service; evaluation of MLFlow for model tracking and model registry
- Implementation of REST API using KeyCloak OAuth2 and OpenID (JWT)
- Monitoring: implementation of dashboards with Grafana, Prometheus, Mimir, Streamlit and Loki to monitor prediction metrics, GCP and Snowflake costs for pipelines, and system metrics
- Development of Copilot Agent Skills
Daniel S.
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 E.
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.
Amogha S.
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 R.
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
18 years
Position duration
1.8 years
Positions per freelancer
10
Top business areas
Information Technology, Operations, Product Development
Top industries
Information Technology, Insurance, Education
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
80%
Doctorate
20%
Certifications per freelancer
5
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Grafana Mimir 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%)
- Insurance (50%)
- Education (33%)
- Energy (33%)
- Banking and Finance (33%)
- Transportation (33%)
- Professional Services (33%)
- Government and Administration (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Grafana Mimir does
Grafana Mimir is a horizontally scalable, highly available backend for Prometheus metrics. It stores time series data in object storage and supports long-term retention, multi-tenancy, and global querying. Companies use it to centralize observability across applications, clusters, and regions.
Prometheus compatibility
Mimir accepts metrics through Prometheus remote write and exposes a Prometheus-compatible query API. This lets teams keep familiar PromQL dashboards and alert rules while moving storage and querying to a distributed system. Specialists also work with recording rules, alerting rules, exemplars, and tenant isolation.
Ecosystem and tooling
A Mimir environment usually connects several parts of the observability stack:
- Prometheus and Grafana for collection, dashboards, and alerting
- OpenTelemetry for metrics and broader telemetry pipelines
- Kubernetes, Helm, and operators for deployment
- Object storage for durable metric blocks
- Alertmanager and ruler components for notification workflows
Where companies use it
Mimir supports monitoring for cloud platforms, SaaS products, telecommunications, financial services, manufacturing, and public-sector systems. It is useful when many teams or clusters need one metrics layer without giving up local collection. In Germany, specialists may support both remote delivery and on-site collaboration with platform or operations teams.
When freelance expertise helps
Companies bring in freelance specialists during observability migrations, Kubernetes platform rollouts, and incidents involving high query load or unreliable ingestion. They also help when teams need to reduce operational risk, define tenant boundaries, tune compaction, or connect Mimir to existing Grafana workflows.
- Plan a Prometheus-to-Mimir migration
- Diagnose ingestion, query, or storage bottlenecks
- Establish alerting and dashboard standards
- Document operations and recovery procedures
What strong specialists deliver
Strong professionals understand distributed systems as well as Prometheus conventions. They can reason about distributors, ingesters, queriers, query frontends, store gateways, and the ruler, then connect those components to Kubernetes, networking, security, and object storage. They define practical capacity, retention, tenancy, and failure-recovery decisions instead of treating Mimir as a default installation.
Frequently asked questions
Need clarity? These are the questions we hear most often about Grafana Mimir.
Grafana Mimir provides scalable, durable storage and querying for Prometheus metrics. Companies use it to consolidate telemetry from many Kubernetes clusters, services, or regions and visualize it through Grafana.
Grafana Mimir shares design principles with Thanos and is closely related to the former Cortex project, but the right choice depends on operating model, feature needs, and existing tooling. A specialist should compare query federation, multi-tenancy, object storage, scaling, and operational complexity in the context of your environment.
A strong Grafana Mimir specialist usually brings Prometheus, PromQL, Grafana, Alertmanager, Kubernetes, Helm, and object-storage experience. Knowledge of OpenTelemetry, Linux, networking, security, and infrastructure automation is also valuable for production work.
Grafana Mimir work needs practical experience with distributed metrics systems, not only dashboard configuration. The required depth depends on whether the project covers a proof of concept, a migration, production operations, or incident response across multiple teams.
Grafana Mimir projects are often suitable for remote collaboration because configuration, dashboards, runbooks, and incident reviews can be handled online. On-site sessions can still help with architecture workshops, security reviews, or coordination with German-speaking operations teams.
Ask a Grafana Mimir specialist to explain a production design, including ingestion flow, query performance, object storage, tenant isolation, upgrades, and recovery. Look for clear trade-offs and evidence of troubleshooting real failure modes rather than a setup based only on Helm defaults.
Grafana Mimir usually complements Prometheus rather than replacing it. Prometheus can continue collecting and evaluating local metrics, while Mimir receives remote writes and provides centralized, durable storage and querying.
A capable Grafana Mimir expert should provide an architecture decision, deployment configuration, dashboards or alerting updates, operational runbooks, and clear documentation. Depending on scope, deliverables may also include migration steps, load tests, security controls, and recovery procedures.
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 850 € 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, 80% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Germany who have used Grafana Mimir in their recent projects have 18 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%), English (100%), and French (17%).
The most common industries among freelancers in Germany who have used Grafana Mimir in their recent projects are Information Technology (100%), Insurance (50%), and Education (33%).
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 (83%).
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
