Graylog Experts in Frankfurt
in minutes with vetted specialists and AI matchingHire experts who design Graylog pipelines, tune log ingestion and parsing, and build alerting and dashboards for clear incident response. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Graylog
Uday Vanaparthy
Last position:
Full Stack JAVA Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Built and customized Helm charts and values.yaml configurations across 3 environments (ACT, SIMU, PROD), increasing deployment flexibility and consistency.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Used Podman and OpenShift for container orchestration and Liquibase for database version control.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Managed application images, JAR versions, and dependencies via DBAG Artifactory Repository Manager.
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
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.
Jin-Ho Yun
Last position:
Server Migration Consultant at Unknown Client
- Linux server migrations: planning and execution of the migration with SLES Linux deployment of VMs in VMware 8.0
- Guiding colleagues on configuring Linux VMs with vSphere Auto Deploy
- Application operations: ensuring smooth operation of applications on migrated servers
- Operations manuals: revising existing manuals, updating and creating new ones as needed
- Reviewing service offers: adjusting and optimizing service offerings of external providers
- Logistics software, Red Hat Linux, Ansible, Confluence / Jira
Krisztián Korcz
Last position:
IT-Soc/Vulnerability at ITZBund
- Vulnerability management (Greenbone, Tenable SC, Rapid7)
- Automation of vulnerability scans
- OpenTofu (Terraform)/Ansible/Vault/Podman/Docker
- Compliance audit
- SOC (ElasticSearch, Graylog)
- Python/Rust/Bash/Shell/PowerShell
- Git collaboration
- Report standardization and automation
- POC for several vulnerability scanning systems
- Setup of vulnerability scanning system
Marko Plazanic
Last position:
Consultant / Support at BP Europa SE
Monitoring charging sessions
Communication with Fleet Management and CPOs
Infrastructure administration
Assigning permissions and licenses
Maintenance and support
Ticket support
User management
Applications: Zendesk, Graylog, Keycloak, Microsoft 365, Active Directory, SharePoint
Igor Propisnov
Last position:
Senior Frontend Developer at Objego GmbH
Within the project, Objego's digital platform for real estate management was further developed.
Further development of various software modules within the application.
Continuous improvement and optimization of existing functionalities to enhance performance and user experience.
Design and implementation of unit tests to ensure code quality and stability.
Close collaboration with the QA team to quickly fix bugs.
Implementation of new features in coordination with stakeholders and end users.
Active member of the Scrum team with a focus on agile methods and continuous improvement of the software.
Technologies: Angular 16/17, Material, Angular CDK, Angular Elements, Nx, NgRx, NgNeat, NgX-Translate, NgX-Charts, NgX-Lottie, NgX-Markdown, Sentry, Azure AI Form Recognizer, Lodash, Dayjs, Flatpickr, Lottie-Web, Mixpanel, RxJS, Prettier, ESLint, Webpack, Cypress, Playwright, Jest, Husky, TypeScript, Node.js, Zone.js, Docker, Spring Boot, Git, Figma, Figma Token, Storybook, Jira, Confluence, Atlassian, Gitlab CI/CD, Codecov, Custom Design System, Mockoon.
Discover over 15,000 top freelancers
Statistics of experts using Graylog
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
1.8 years
Positions per freelancer
18
Top business areas
Information Technology, Operations, Project Management
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Operations, Business Intelligence
Bachelor's degree or higher
80%
Master's degree or higher
60%
Certifications per freelancer
7
Most common languages
German, English, Spanish
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 Frankfurt 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 Frankfurt using Graylog
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
Log visibility
Graylog brings logs, events, and search into one place. Teams use it to centralize application, server, and security data, then search it quickly during incidents or audits. It is common in operations-heavy systems where raw log streams need structure and speed.
Core setup
A strong Graylog setup usually includes:
- inputs for syslog, GELF, Beats, or HTTP sources
- extractors, pipelines, and stream rules
- dashboards, alerts, and saved searches
- retention, rotation, and index tuning
This is where Graylog Open and Graylog Enterprise projects differ in scope and features.
What experts deliver
Freelance specialists help with new deployments, migrations from older log tools, and fixes in noisy or incomplete pipelines. They also clean up field mapping, normalize message formats, and make alerting less fragile. In Frankfurt, this often matters for teams that work across regulated industries, operations, and distributed infrastructure.
When to bring help
Bring in outside expertise when log data is growing fast, incident response is slow, or search results are hard to trust. Companies also need help when Graylog must connect to multiple systems, retention rules are unclear, or team members need better dashboards for support and security work.
Strong skills
Good Graylog professionals understand how messages move from source to index. They know Elasticsearch/OpenSearch concepts, Grok-style parsing, regex, stream design, and access control. They also write clear documentation so operations teams can maintain the setup without guesswork.
What quality looks like
A solid implementation is easy to search, easy to alert on, and easy to extend. Logs arrive with the right fields, false alerts stay low, and dashboards answer real operational questions. The best experts leave behind a system that is stable under load and simple for the next team to run.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Graylog.
Graylog is used to collect, search, and analyze log data from applications, servers, network devices, and security tools. It helps teams trace incidents, spot patterns, and keep an auditable record of system activity. In practice, it is often the place where operators go first when something breaks.
Graylog is often chosen when teams want a focused log management layer with simpler day-to-day use. ELK or OpenSearch stacks can offer more flexibility, but they may require more assembly and maintenance. The right choice depends on whether your priority is speed of operation, search depth, or broader search-platform control.
A strong Graylog specialist should understand inputs, parsing, pipelines, streams, and alerting. Practical knowledge of Elasticsearch or OpenSearch, regex, and system logging formats is also important. For larger environments, access control and retention design matter just as much as the dashboards.
A Graylog project usually needs outside help when log formats are inconsistent, alerts are noisy, or searches do not return useful results. It also helps when you are migrating from another logging setup or connecting many sources at once. The more critical the incident response process, the more valuable experienced support becomes.
Most Graylog work can be done remotely because the main tasks are configuration, search design, and pipeline tuning. On-site access can still help when source systems are segmented, network rules are strict, or local teams need hands-on support. For Frankfurt-based companies, a mix of remote delivery and occasional on-site sessions is common.
Graylog Open covers the core logging and search functions, while Graylog Enterprise adds features for larger operational and compliance needs. The difference matters when you need advanced controls, extra content packs, or broader support options. A specialist should know which edition fits your environment and why.
A good Graylog implementation makes useful data easy to find and bad data easy to spot. Look for clean field extraction, sensible stream rules, stable alerts, and dashboards that match real incident workflows. If the setup is hard to maintain or the searches are confusing, the design still needs work.
Graylog often sits alongside syslog sources, Linux and Windows logging, firewalls, container platforms, and Elasticsearch or OpenSearch backends. Teams also connect it to ticketing, notification, and identity systems so alerts fit existing workflows. A well-rounded specialist understands these connections, not just the Graylog interface.
The average hourly rate of freelancers in Frankfurt, Germany who have used Graylog in their recent projects is 95 €, which corresponds to a daily rate of about 759 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Graylog in their recent projects, 80% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Graylog in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used Graylog in their recent projects are German (100%), English (100%), and Spanish (14%).
The most common industries among freelancers in Frankfurt, Germany who have used Graylog in their recent projects are Information Technology (100%), Banking and Finance (86%), and Government and Administration (86%).
The most common business areas among freelancers in Frankfurt, Germany who have used Graylog in their recent projects are Information Technology (100%), Operations (86%), and Project Management (57%).
Main locations of FRATCH Experts, who have recently used Graylog
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.
Countries:
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