JMX Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used JMX
Tamás E.
Last position:
Senior Software Developer / Tech Lead at NDA (defense / OSINT)
- Designing the audit logging framework
- Implementing APIs for developers to integrate in their codebase
- Implementing ingestion pipeline, database query layer and UI for browsing the audit events
- Improving stability and reliability of the backend system
Rainer D.
Last position:
Enterprise Architecture Management / Backend Software Developer at Polizei Hamburg
- Several projects in a police context
- Model and document police procedures/projects with Archimate (as-is/to-be) in the context of P20 (BKA)
- Create software architectures with microservices
- POC development with Springboot/Docker/Kubernetes
- Project size: 10 people
- Enterprise architecture management with Togaf and Archimate
- Backend software development Springboot
- DevOps with Kubernetes
- Implemented using: Java 17/21, Springboot 3, P20 architecture, Togaf, Archimate
Thorsten M.
Last position:
Odoo Implementer at N.N.
As project manager for the Odoo implementation at a small company, I was responsible for designing, implementing, and training a fully integrated CRM and accounting system. Through structured requirements analysis, precise data migration, and targeted change management, I was able to complete the rollout in just eight weeks. The project led to a significant reduction in manual tasks, faster business processes, and increased real-time transparency.
Main Responsibilities
Requirements analysis and process mapping Configuration of Odoo modules: CRM, Sales, and Accounting Data migration (Excel/CSV → Odoo) and quality control Creation of workflows, automated email rules, and dashboards Conducting training sessions and providing support after go-live Project coordination (budget, schedule, stakeholder communication)
Key Achievements
Full implementation of the Odoo suite within the set timeframe (8 weeks) 30% reduction in accounting time and 25% acceleration of the lead-to-sale flow 100% customer satisfaction after go-live, based on survey results Successful migration of 100% of existing master data without data loss Establishment of a sustainable support infrastructure (3-month post go-live support)
Impact
Improved decision-making through real-time dashboards and automated reports Increased efficiency and cost savings (≈ €8,000/month) Scalability for future growth (additional modules can be integrated seamlessly) Strengthened sales and finance departments through seamless process integration
This summary highlights how I created concrete and measurable value for the company through structured project work, technical expertise, and targeted training.
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Celso K.
Last position:
SAP Commerce Cloud FullStack Developer at Spar
- Implementation of a GitLab CI/CD pipeline based on SAP Commerce Cloud 2211
- Development of a new B2C shop with Vue, Node and TypeScript to ensure scalability, extensibility and performance optimization
- Integration of Microsoft Azure Event Grid with SAP Hybris
- Implementation of BDD with Cucumber using Gherkin syntax to promote collaboration between development and business teams
- Support and customization of a Spartacus shop
- Technologies/Languages: Java, REST, OData, Behavior Driven Development (BDD), Cucumber, Node, Vue, TypeScript, Spartacus, GitLab CI/CD, Gradle, Maven, Ant, SonarQube
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Michael K.
Last position:
Atruvia AG
- Further development of framework components and services in the Enterprise Banking Control Platform (EGP Framework), a set of cross-cutting libraries and services for all bounded context scopes of the platform.
- Migration from Java 17 to Java 21 and from Spring Boot 3.2 to 3.4 in about 80 library and service repositories (updating Maven POMs, Dockerfiles, Jenkins pipelines, source code migration, test updates).
- Writing unit and integration tests with JUnit and JGiven.
- Performing and analyzing performance measurements with Dynatrace.
- Enhancing multi-stage CI/CD pipelines (unit tests, security analyses, Docker builds, Harbor deployments, ...).
- Tech stack used: Java (90%), Python (10%), Spring Boot, JPA/Hibernate, JGiven, OpenAPI, Camunda 7, Podman, OpenShift/Kubernetes, Oracle DB, SonarQube, Dynatrace, Jenkins, Harbor, Bitbucket, Jira, Confluence.
Jan G.
Last position:
Master Data Application at confidential
Visualization, search, and maintenance of various types of master data, providing them via a REST API, and implementing a variety of import and export formats.
Implementation, architecture, project management.
Technologies and tools: Angular (Signals, Signal Store, swagger-codegen, standalone components), Java, PostgreSQL, ActiveMQ, JavaScript, Spring Boot (Spring Core, Spring MVC, Spring Data/JPA via Hibernate, Spring Security, Spring Modulith), JUnit, Flyway, QueryDSL, GraphQL, REST API, Node, npm, Maven, SonarQube, GitLab CI/CD pipelines, Docker, Nexus, OpenAPI + Swagger UI, Keycloak, OAuth2, OpenID Connect, IntelliJ IDEA, Jira, Confluence.
Günter S.
Last position:
Teacher for mathematics and computer science at Helene Lange Gymnasium Fürth
- Teacher of mathematics and computer science
Claus K.
Last position:
Developer, Architect at Freelance Developer
Discover over 15,000 top freelancers
Statistics of experts using JMX
Aggregated from the professional profiles of matched freelancers.
Experience
27 years
Position duration
2.3 years
Positions per freelancer
21
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Operations, Product Development
Bachelor's degree or higher
83%
Master's degree or higher
67%
Certifications per freelancer
2
Most common languages
German, English, Spanish
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 JMX
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.
JMX 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 (60%)
- Banking and Finance (50%)
- Insurance (50%)
- Professional Services (50%)
- Telecommunication (50%)
- Aerospace and Defense (40%)
- Automotive (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Java Management Extensions
JMX, short for Java Management Extensions, is the standard Java framework for monitoring and managing applications at runtime. It exposes operational data and controls through managed beans, known as MBeans, without requiring changes to the core business logic. Teams use it to inspect memory, threads, caches, queues and custom application metrics.
MBeans and Monitoring
The central design is an MBean server that registers manageable resources and makes their attributes and operations available to local or remote clients. JConsole, VisualVM and Java Mission Control can inspect these resources, while JMX connectors support remote access through RMI or other configured transports. Strong access control and encrypted connections are essential outside a trusted network.
Typical Deliverables
- Define standard and dynamic MBeans for application components
- Expose runtime controls for pools, queues, caches and feature switches
- Connect JMX data to monitoring and alerting systems
- Diagnose memory, thread and class-loading problems
- Document secure remote management procedures
JMX work often includes naming conventions, notification listeners, dashboards and runbooks. Professionals may also integrate JMX exporters with Prometheus or connect Java telemetry to existing operations tooling.
When Expertise Helps
- A legacy Java service needs safe remote observability
- Operators lack controls for queues, pools or scheduled jobs
- Production incidents require runtime diagnosis without restarts
- Monitoring must be standardized across many JVM services
Companies in Germany often bring in freelance expertise during platform modernization, regulated operations or the handover of critical Java systems. Remote collaboration works well when access, documentation and escalation paths are prepared; on-site work can help with secured environments and operations training.
Adjacent Skills
Useful JMX specialists understand the JVM, Java concurrency, garbage collection, networking and application server behavior. They may work with Spring, Jakarta EE, Tomcat, WebLogic or other Java runtimes, plus Prometheus, Grafana, OpenTelemetry and log analysis tools. Familiarity with TLS, authentication, firewalls and container orchestration matters when management endpoints cross infrastructure boundaries.
Judging Quality
A strong professional separates read-only telemetry from state-changing operations and treats every exposed MBean as part of the security surface. Look for clear object naming, bounded operations, useful notifications, tested failure behavior and evidence from production troubleshooting. The best deliverables explain what each metric means, who may invoke an operation and how access can be removed safely.
Frequently asked questions
Key details about JMX, drawn from the questions we get asked most.
JMX is used to monitor and manage Java applications while they are running. It can expose memory usage, thread activity, connection pools, queues, caches and application-specific controls through MBeans.
Java Management Extensions provides direct access to JVM and application management interfaces, which is valuable for runtime controls and detailed diagnostics. Metrics, logs and traces from OpenTelemetry or Prometheus are often better for broad distributed observability, so many teams use JMX alongside them rather than treating it as a replacement.
A strong JMX specialist usually understands JVM diagnostics, Java concurrency, garbage collection and application servers. Experience with MBeans, JConsole, VisualVM, Java Mission Control, Prometheus, Grafana, TLS and network access controls is also useful.
The scope matters more than a fixed time measure. A simple MBean or local diagnostic setup needs less depth than secure remote access across production systems, custom notifications, exporter integration or incident support. Ask for examples that match the JVM versions, application servers and operational risks in your environment.
JMX work is often suitable for remote collaboration when the specialist receives safe access to test environments, configuration details and monitoring data. On-site involvement may be useful for restricted networks, controlled production access or workshops with operations teams in Germany.
Review whether the MBean design is clear, stable and safe to operate under load. A capable JMX professional documents object names, attributes, operations, permissions, alerts and rollback steps, then demonstrates behavior during failure scenarios rather than only showing a successful connection.
No. JMX can expose both standard JVM information and custom management data from application components. Teams use custom MBeans for pool controls, cache inspection, queue operations, feature switches and other carefully governed runtime actions.
Remote JMX can expose sensitive data and powerful operations if it is reachable or poorly configured. Use authentication, authorization, encrypted transport, restricted network paths and minimal permissions, and avoid publishing management endpoints directly to the public internet.
The average hourly rate of freelancers in Germany who have used JMX in their recent projects is 92 €, which corresponds to a daily rate of about 739 € based on an 8-hour working day.
Of the freelancers in Germany who have used JMX in their recent projects, 83% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Germany who have used JMX in their recent projects have 27 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Germany who have used JMX in their recent projects are German (100%), English (100%), and Spanish (10%).
The most common industries among freelancers in Germany who have used JMX in their recent projects are Information Technology (90%), Retail (60%), and Banking and Finance (50%).
The most common business areas among freelancers in Germany who have used JMX in their recent projects are Information Technology (100%), Product Development (90%), and Operations (70%).
Main locations of FRATCH Experts, who have recently used JMX
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
