Fahzil Hadja Nadjimoudine

Consultant working on Elastic stack (Elasticsearch, Kibana, Logstash, Beats) and Devops (Ansible, Kubernetes, Docker, Concourse, Jenkins)

Development of a log centralization database: • Deployment and configuration of Filebeat on the entire computer park including Red Hat and Windows Servers. • Deployment and configuration of Winlogbeat on Windows machines. • Creation and modification of Logstash pipelines to adapt the centralization of logs via Filebeat. • Kafka bus management to mediate between producer and consumer Logstash pipelines. • Implementation of the automated addition of new applications that can provide logs with AWX (Ansible Tower) and Shell scripts. • Implementation of the Elastic cluster: Template, index, ILM, spaces and Kibana roles. • Automation of all deployments with Ansible and compliance with CI/CD constraints. • Modification of OpenShift templates for log collection. • Functional acceptance and detection of critical points, suggestions for improvement. • Implementation of the solution on the production platform. • Monitoring and analysis of the operation of the solution in production. • Change management.

Development of a transversal supervision offer: • Development of the new offer based on Python and the Elastic stack. • Migration of existing solutions (Business Bridge) to the new Elastic offer. • Workshops with Kubernetes and CI/CD teams (Gitlab and Concourse). • Containerization of the new offer and implementation of the associated CI/CD. • Realization of the associated project documentation. Migration of existing applications to this new solution: • Analysis of the documentation and code of these applications. • Workshops with users to reassess their needs. • Migrate controls that are still relevant. • Production of new restitutions (Kibana). • Coverage of new supervision perimeters: • Workshops with the teams concerned to identify their needs and data sources. • Implementation of collections (Beats, Logstash, Python scripts) and controls requested.

Design of the Data Module – Elastic Stack: • Implementation and configuration of Beats and Logstash data pipelines to Kafka. • Deployment of a highly available Elasticsearch cluster. • Configuring indexes and using the percolate feature. • Implementation of restitutions and administration of the cluster via Kibana. • Automation of testing and building of deliveries. • Internal presentation of the achievements and the project for sharing-capitalisation.

- Gestion de la demande en maximisant la recette et l'occupation d'un portefeuille de bus. - Gestion d'un fichier de reporting et développement de macros sous VBA. - Analyse du marché et des indicateurs de performance - Recommandations d'amélioration de l'offre