
Graylog Experts in Frankfurt
for clearer logs and faster incident response, matched with vetted, available freelancersHire experts who centralize logs, build reliable search and alerting workflows, and connect Graylog with cloud, security, and infrastructure tools. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Graylog
Marko P.
Last position:
IT Support Specialist at Santander Consumer Bank
Jin-Ho Y.
Last position:
Server Migration Consultant at Unknown Client
- Linux server migrations: Planning and implementation of the migration with SLES Linux Deployment of VMs in VMware 8.0
- Guiding colleagues in configuring Linux VMs in vSphere Auto Deploy
- Application operations: Ensuring the smooth operation of applications on the migrated servers
- Operations manuals: Revising existing operations manuals, adding to them and creating new ones when required
- Reviewing service offerings: Adjusting and optimizing the service offering of external service providers
- Logistics SW, RedHat Linux, Ansible, Confluence / Jira
Uday V.
Last position:
Senior 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.
- 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.
- Optimized a high-volume REST API (~200K requests) by reducing response time from 3s to 2s (33% improvement), boosting throughput and reliability under production load.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Orchestrated containerized workloads on Podman/OpenShift and governed schema evolution with Liquibase, ensuring reliable, repeatable deployments across all environments.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Streamlined release management by governing application images, JAR versions, and dependencies through DBAG Artifactory, ensuring version consistency and audit traceability across environments
Tan P.
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.
Krisztián K.
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
Igor P.
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
23 years

Position duration
1.7 years

Positions per freelancer
20

Top business areas
Information Technology, Operations, Project Management

Top industries
Banking and Finance, Information Technology, Government and Administration

Certification focus areas
Information Technology, Business Intelligence, Legal
Bachelor's degree or higher
80%
Master's degree or higher
40%

Certifications per freelancer
7

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 Frankfurt 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 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Graylog experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (100%)
- Information Technology (100%)
- Government and Administration (83%)
- Telecommunication (67%)
- Chemical (50%)
- Manufacturing (50%)
- Retail (50%)
- Aerospace and Defense (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Graylog does
Graylog is a centralized log management platform for collecting, searching, parsing, and analyzing event data from applications, servers, networks, and cloud services. It helps teams turn scattered machine data into searchable evidence for operations, security investigations, and incident response.
Core components
Graylog uses inputs, streams, extractors, pipelines, and index sets to control how messages enter the system and where they are stored. Search queries, dashboards, alerts, and event definitions help teams move from raw logs to useful operational views. GELF, Syslog, Beats, and common API integrations extend its reach across mixed environments.
Typical use cases
- Centralize application, infrastructure, and network logs
- Detect suspicious activity and support security investigations
- Alert on failures, latency signals, and service changes
- Create dashboards for operations, compliance, and support
- Improve troubleshooting across hybrid and cloud environments
Skills around Graylog
Strong professionals combine Graylog knowledge with Linux, networking, observability, and security operations. They work with Elasticsearch or OpenSearch storage, MongoDB configuration, REST APIs, container platforms, and infrastructure automation. Experience with parsing patterns, retention policies, access control, and data quality matters as much as dashboard design.
When companies need specialists
Companies often bring in freelance expertise during a logging migration, a security monitoring rollout, or an observability overhaul. Specialists can design a maintainable message schema, normalize inconsistent sources, tune searches and retention, and connect Graylog to existing alerting and ticket workflows. In Frankfurt, remote delivery can work well when documentation and access controls are clear; on-site collaboration may help during sensitive infrastructure changes.
What good work looks like
A capable Graylog professional starts with the questions the logs must answer, not with dashboards alone. They define useful fields, protect sensitive data, test ingestion and alert quality, and document pipelines so the system remains understandable after handover. They also explain trade-offs between Graylog Open and Graylog Security, and know when another observability or SIEM tool is a better fit.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Graylog.
Graylog is used to collect and analyze log messages from applications, infrastructure, networks, and security systems. Companies use it for troubleshooting, operational monitoring, alerting, audit support, and incident investigation.
Graylog provides centralized log management with its own workflows for inputs, streams, pipelines, searches, dashboards, and alerts. Splunk may offer a broader enterprise analytics environment, while the Elastic Stack gives teams more control over a modular search and visualization stack; the right choice depends on existing skills, governance, scale, and operating preferences.
Graylog work commonly overlaps with Linux administration, networking, cloud infrastructure, Kubernetes, security monitoring, and observability. Useful specialists also understand Elasticsearch or OpenSearch, MongoDB, Syslog, GELF, REST APIs, access control, and infrastructure automation.
Graylog assignments can range from cleaning up an existing deployment to designing ingestion and alerting for a complex hybrid environment. The required background depends on source diversity, retention needs, security requirements, and whether the specialist must also migrate data or integrate surrounding systems.
Graylog projects are often suitable for remote collaboration when log sources, credentials, network access, and change procedures are documented. On-site work in Frankfurt can be valuable for restricted environments, incident workshops, or teams that need close coordination during a migration.
Graylog quality is visible in reliable ingestion, consistent fields, useful alerts, controlled retention, and clear operational documentation. Ask specialists to explain how they test parsing, reduce false positives, protect sensitive log data, and make searches maintainable for the people who will use them.
Graylog Open focuses on core log management capabilities such as collection, search, pipelines, dashboards, and alerting. Graylog Security adds capabilities aimed at security operations, so the suitable edition depends on investigation workflows, detection needs, compliance expectations, and the team’s existing tools.
Graylog specialists should clarify the message sources, expected event fields, storage backend, retention policy, access model, and success criteria before changing a deployment. They should also understand how the company handles sensitive data, incidents, and handover so that technical work fits the operating model.
The average hourly rate of freelancers in Frankfurt, Germany who have used Graylog in their recent projects is 87 €, which corresponds to a daily rate of about 699 € 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 40% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Graylog in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 1.7 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 (17%).
The most common industries among freelancers in Frankfurt, Germany who have used Graylog in their recent projects are Banking and Finance (100%), Information Technology (100%), and Government and Administration (83%).
The most common business areas among freelancers in Frankfurt, Germany who have used Graylog in their recent projects are Information Technology (100%), Operations (67%), and Project Management (67%).
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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