Elastic Stack Experts in Cologne
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Meet FRATCH Experts in Cologne, who have recently used Elastic Stack
Hooman B.
Last position:
Fullstack Developer at Möbel Roller GmbH
- Further development of the existing e-commerce platform based on SAP Commerce (Hybris) to meet the growing demands of digital commerce.
- Ensuring the scalability and performance of the backend, so the platform remained stable and efficient even under heavy user load.
- Development and integration of new OCC REST APIs and services for modular extensions and flexible adjustments, to implement new features quickly.
- Optimization of data flows and interfaces, which significantly improved platform efficiency and system performance.
- Ensuring a maintainable and scalable code base by using Clean Code principles, proven design patterns, and a future-proof architecture.
- Reduction of errors through extensive testing with JUnit, Mockito, and load tests with Gatling, supported by the introduction of automated test processes.
- Improved system performance through targeted refactoring measures and efficient database queries, especially to handle peak loads.
- Use of modern cloud and monitoring tools such as Kubernetes, Google Cloud Platform (GCP), and Grafana to ensure a stable and monitored infrastructure.
- Clear improvement in efficiency, scalability, and reliability of the platform, which now meets the demands of a dynamic and growing e-commerce market.
Hassan A.
Last position:
DevOps & Observability Consultant at ALDI South (Albrecht's Discount)
- Supporting the DevOps team in Terraform-managed, multi-region AWS infrastructure to achieve environment parity.
- Developed end-to-end CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, automating the build and deployment.
- Maintained pre- and post-deployment scripts to automate critical tasks such as database schema migrations and environment sanity checks.
- Implemented CI/CD flow specifically for hotfixes via separate Git branches, managing back-merge activities from feature branches to release branches to ensure code integrity through automated conflict resolution.
- Deployed a dedicated, lightweight sanity check application hosted cost-effectively on Azure Container Apps to run automated health and basic functional checks as a post-deployment activity triggered via pipeline.
- Investigated production incidents through code changes and AWS CloudWatch logs.
- Coordinated integration of Dynatrace APM and its APIs for monitoring purposes.
- Full stack QA strategist for a high-traffic e-commerce platform built on a layered architecture for the back-end testing of core platform services, especially the order management system in Zed and Glue layers.
- Managed automation activities, testing process, and refactoring practices.
- Responsible for framework migrations, setup, and training for new automation frameworks.
- Promoted a shift-left approach within the QA team and created the test concept.
- Participated in meetings with IT managers, business owners, product owners, and team members.
- Designed and implemented contract testing to validate API schema compatibility between the order management system and the Zed and Glue layers, reducing production-relevant breaking changes by approximately 3%.
- Led the migration to a multi-environment framework that enabled test execution across 4 country configurations from a single codebase.
- Integrated automated unit and functional tests directly into the GitLab CI/CD pipeline, reducing pipeline runtime by 32%.
- Coached and trained 5 QA engineers across Germany and Hungary in test automation, framework architecture, and best practices.
- Architected a layered backend test automation framework separating business logic, API request builders, and the database layer.
- Piloted AI-assisted testing with Playwright Agents, the Playwright MCP Server, and GitHub Copilot for automated test generation, execution, and self-healing Playwright scripts.
Pierre G.
Last position:
Ansible Automation, Windows Third Level Support at DB InfraGO AG
- PRISMA project
- Ansible automation
- Windows third-level support for Windows NT, Windows 2000, Windows 2013, Windows 2016, Windows 2019
Rainer L.
Last position:
Senior IT Consultant, Senior Software Architect, Senior Software Developer, Senior DevOps Engineer at Techniker Krankenkasse
Automation of the database major / minor releases for the TKeasy project
Concept for database major / minor release automation
As-is analysis
Evaluation of Redgate Flyway functionality
Concept creation
Products: Redgate Flyway, GitHub, Quest, Erwin Data Modeller, Oracle, Atlassian Jira, Atlassian Confluence
Skills: Docker, Continuous Delivery, Continuous Integration, Redgate Flyway, Major Releases, Minor Releases
Stefan M.
Last position:
Bundesrechtsanwaltskammer
- Design, planning and execution of complex acceptance tests for a document exchange platform for the German justice authorities.
- Validation of decrypted and certificate-based message exchange via web platform, mobile app, and Java API.
- Documentation of test cases, execution steps, and test results.
- Technologies: Windows 11/10, Ubuntu, iOS, Android, Bash for Windows, Java 17, IntelliJ, Git, Jira, Confluence, Citrix Server, xJustiz standard implementation, specific justice software.
Andreas E.
Last position:
Consultant at Iteratec GmbH
Alexander V.
Last position:
Senior DevOps / Platform Engineer at Kaufland e-commerce / real.digital (ex hitmeister.de)
- Evolved the platform from bare-metal infrastructure with a monolithic PHP application to a hybrid Google Cloud architecture with Go microservices on Kubernetes
- Managed and scaled a production infrastructure with 300+ VMs and dozens of clusters, including MySQL, PostgreSQL, MongoDB, RabbitMQ, Redis and Elasticsearch clusters
- Designed architecture, deployment, monitoring, performance analysis, and upgrades for all platform services using Terraform and Ansible
- Migrated observability systems from ELK and Prometheus to Datadog, managed with Terraform
- Introduced Jenkins CI/CD with SonarQube integration and automated tests to speed up feedback cycles
- Containerized the testing environment and implemented GitLab CI pipelines for Docker image builds, static code analysis, and infrastructure tests
- Performed zero-downtime migrations of MySQL and MongoDB clusters to Google Cloud
- Developed reusable Ansible roles for database clusters and automated data obfuscation for staging environments
- Decomposed monolithic databases and migrated to microservice architectures
- Built tools to detect and optimize slow queries in MySQL and MongoDB
- Conducted online schema migrations with pt-online-schema-change without downtime windows
- Developed internal Go applications for batch queries, GitLab-Jira integration, and MongoDB backup recovery
- Technologies: Debian, Ubuntu, Alpine, Go, Bash, Python, PHP, SQL, GitLab CI, Jenkins, Drone CI, MySQL, MongoDB, PostgreSQL, Redis, Elasticsearch, RabbitMQ, Kafka, Docker, Kubernetes, Nomad, Ansible, Terraform, Grafana, ELK, Prometheus, Datadog, Nagios, Zabbix, Nginx, HAProxy, Vault, Helm, SonarQube, Filebeat, Auditbeat, Google Cloud, AWS
Sebastian T.
Last position:
Software Engineer / Cloud Engineer at OC Fulfillment GmbH
- Hybrid role as the first software engineer in the company to bootstrap the organization, laying out technical foundation and advising management on organizational aspects.
- Set up the SaaS platform architecture, selected languages and tools, and designed processes to deliver customer value quickly and reliably.
- Designed and implemented build and continuous deployment pipeline with multi-tenant approach enabling extreme scaling of the SaaS platform.
- Established initial ITSM and support processes, provided monitoring and alarming, and participated in the on-call team.
- Proposed new approaches to scale the platform and improve backend interfaces to mitigate bugs and communication overhead.
- Mentored new employees and served as a trustful team member and lateral leader.
- Conducted interviews for technical roles.
- Used technologies: Typescript, Node.js, Bash, Google Cloud Platform (App Engine, Cloud Run, Cloud Functions, Google Endpoints, Firebase), GitHub Actions, Docker, Terraform, MongoDB, Firebase, REST APIs, GraphQL.
Jacqueline H.
Last position:
Kitchen Appliance Manufacturer
Setting up and enhancing an international subscription management system
Migrating and decommissioning a Hybris-SAP system and integrating Zuora
Implementing numerous interfaces to various systems (external and internal)
Setting up and improving monitoring with Grafana, Prometheus, and Databricks
Introducing logging with Loki
Implementing business requirements using jQuery, Thymeleaf, Spring Boot, Java, Go, and Python
Adjusting and extending the GitLab CI pipelines
Setting up and extending infrastructure as code with Terraform and ArgoCD on AWS
Setting up and running E2E and performance tests
Expanding the Databricks business intelligence solution to provide various KPIs
Responsibilities: Architecture, DevOps, development, unit tests, coaching employees and apprentices, E2E, smoke, and integration tests, agile methods consulting (Kanban, Scrum)
Technologies and methods: Java, Go, Kotlin, Node.js, Spring Boot, SOAP/REST, Quarkus, Thymeleaf, Vaadin, Slack, Jira, Confluence, IntelliJ, GitLab, SQS, Kafka, AWS, Kubernetes, Terraform, Maven, Gradle, GitLab CI, Databricks
Jacqueline K.
Last position:
OTTO
- Design, development, and monitoring of microservices
- Migrating functions from a monolithic system into separate microservices
- Designing and implementing new microservices (backend and frontend)
- Setting up and maintaining a CI/CD pipeline (GitHub Actions)
- Configuring cloud infrastructure with AWS CDK and Terraform
- Designing and implementing event-driven communication with AWS SNS/SQS and Apache Kafka
- Ensuring code quality through Test Driven Development (TDD), static code analysis, and Clean Code
Discover over 15,000 top freelancers
Statistics of experts using Elastic Stack
Aggregated from the professional profiles of matched freelancers.
Experience
22 years (Germany: 18 years)
Position duration
2.2 years
Positions per freelancer
20 (Germany: 12)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Retail, Transportation
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 89%)
Master's degree or higher
86% (Germany: 51%)
Certifications per freelancer
2 (Germany: 4)
Most common languages
German, English, Persian
Speak two or more languages
100% (Germany: 96%)
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 Cologne 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.
Discover detailed Elastic Stack rate benchmarks:
Explore rate insightsAverage rates of experts in Cologne using Elastic Stack
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.
Elastic Stack 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 (90%)
- Retail (70%)
- Transportation (60%)
- Insurance (50%)
- Automotive (40%)
- Banking and Finance (40%)
- Manufacturing (40%)
- Chemical (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Search and observability
Elastic Stack is a collection of tools for ingesting, storing, searching and visualizing data. Elasticsearch provides distributed search and analytics, while Kibana supports dashboards, exploration and alerting. Together, the stack helps teams turn logs, events, documents and metrics into usable operational insight.
Core components
The ecosystem commonly includes Elasticsearch, Kibana, Logstash and Elastic Agent. Beats and Fleet support lightweight data collection and centralized management, while Elastic APM, security features and machine learning extend observability and detection use cases. Strong specialists understand how these components fit together rather than treating them as isolated products.
Typical deliverables
- Log and event pipelines from applications, servers and cloud services
- Elasticsearch indexes, mappings, queries and lifecycle policies
- Kibana dashboards, visualizations, alerts and reporting views
- Observability for application performance, infrastructure and user experience
- Search features for websites, internal tools and content-heavy products
When expertise matters
Companies bring in freelance professionals when a cluster needs a reliable design, an existing deployment has become difficult to operate or search quality is falling short. They may also need help migrating from legacy logging tools, tuning ingestion, controlling storage growth or connecting Elastic data with cloud and security workflows. In Cologne, local teams can combine on-site workshops with remote delivery when that suits the project.
Skills around Elastic
Effective work with the stack often includes Linux, networking, containers and Kubernetes, as well as cloud services and infrastructure automation. Specialists may also work with Python, Java, REST APIs, JSON, SQL, CI/CD pipelines and security operations. Knowledge of schema design, distributed systems, data governance and incident response helps turn technical configuration into a dependable service.
Signs of strong professionals
- They clarify data sources, retention needs, query patterns and access rules before changing the cluster
- They choose mappings and shard strategies based on real workloads, not generic defaults
- They make dashboards useful for specific teams and operational decisions
- They document pipelines, alerts, recovery procedures and ownership clearly
- They test performance, failure handling and upgrades in a controlled way
Quality is visible in stable ingestion, relevant search results, understandable visualizations and predictable operations. The right specialist can explain trade-offs clearly and leave behind a stack that the internal team can maintain.
Frequently asked questions
Need clarity? These are the questions we hear most often about Elastic Stack.
Elastic Stack is used for full-text search, log management, security analytics and observability. Teams collect data with Elastic Agent or Logstash, index it in Elasticsearch and explore it through Kibana. It can support both customer-facing search and internal operational monitoring.
Elastic Stack overlaps with Splunk and OpenSearch in search, logging and analytics. The best choice depends on licensing, existing skills, cloud preferences, integrations and the level of control required over deployment. A strong specialist should compare total operating effort and use-case fit rather than focus on product labels alone.
Elastic Stack work often benefits from Linux, networking, Kubernetes, cloud infrastructure and infrastructure-as-code knowledge. Experience with REST APIs, JSON, Python or Java, CI/CD and security operations can also be important. The right combination depends on whether the project centers on search, observability or security analytics.
Elastic Stack projects need a specialist who has handled workloads similar to the planned use case, not merely someone familiar with Kibana. Cluster design, mappings, ingestion volume, retention, access control and recovery should be discussed during evaluation. Complex production environments call for evidence of operating and troubleshooting distributed systems.
Elastic Stack work is often suitable for remote collaboration because configuration, dashboards, documentation and reviews can be handled online. On-site sessions in Cologne may still help with architecture workshops, access planning or coordination with operations teams. Agree on communication, environment access and incident availability at the start.
Elastic Stack can support fast, flexible search, but results depend on analysis, mappings, relevance tuning and source data quality. A specialist should clarify language handling, filters, synonyms, ranking rules and indexing behavior before implementation. Search requirements should be tested with representative content and user queries.
Elastic Stack quality is shown through clear architecture decisions, reproducible configuration and useful operational documentation. Ask how the professional approaches shard sizing, lifecycle management, backups, alert noise and failure recovery. Practical examples should explain trade-offs and measurable project outcomes without exposing confidential data.
Elastic Stack engagements may cover discovery, data-source mapping, pipeline design, cluster configuration, dashboards and handover. The scope should define environments, security responsibilities, retention, monitoring and acceptance tests. Experienced professionals also leave clear runbooks so internal teams can operate and extend the solution.
The average hourly rate of freelancers in Cologne, Germany who have used Elastic Stack in their recent projects is 92 €, which corresponds to a daily rate of about 736 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Elastic Stack in their recent projects, 100% hold at least a Bachelor's degree and 86% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used Elastic Stack in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Cologne, Germany who have used Elastic Stack in their recent projects are German (100%), English (100%), and Persian (10%).
The most common industries among freelancers in Cologne, Germany who have used Elastic Stack in their recent projects are Information Technology (90%), Retail (70%), and Transportation (60%).
The most common business areas among freelancers in Cologne, Germany who have used Elastic Stack in their recent projects are Information Technology (100%), Product Development (80%), and Quality Assurance (80%).
Main locations of FRATCH Experts, who have recently used Elastic Stack
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 
Munich 
Frankfurt Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
