Malick S.

Engie France Retail, La Défense, France - (Freelance contract)

Coordination of deployments, upgrade planning, OpenTelemetry (OTEL) agent deployment via CI/CD pipelines, SDK updates, and management of complex technical environments, with production of associated technical documentation.

● Advanced configuration of Splunk Observability / SignalFx agents on Linux and Windows, with integration into the monitoring platform.

● Drafting of detailed architecture documents (DAT) describing data flows, network interconnections, monitoring components, and integration procedures.

● Design of application monitoring dashboards and creation of detectors / alerts (EDR) based on key performance indicators (CPU, memory, latency, etc.).

● Integration of AWS services (EC2, ECS, RDS, CloudWatch, etc.) for cloud metric collection and reporting.

● Development of a scalable monitoring solution with SignalFx / Splunk Observability for AWS environments and PostgreSQL databases.

● Implementation of the APM module to map service dependencies and facilitate incident investigation (performance, infrastructure, errors, bottlenecks).

● Deployment of Synthetic Monitoring (Browser, Uptime, API) with user journey recording to detect incidents before user impact.

● Implementation of Real User Monitoring (RUM) on the ENGIE subscription portal.

● Correlation between APM and RUM to improve end-to-end incident troubleshooting and analysis.

Environment and tools: Linux, Windows, Kubernetes, Docker, K3s, Signal fx, CI/CD, PostgreSQL, MongoDB, S3, Kafka, Git, GitHub, Jenkins, Jira, Terraform, Python, java, React, JS Javascript, Splunk cloud, signal fx(), Datadog, HTML/CSS, XML

Engie BtoC, Paris, France

Leading the migration and integration of monitoring data from the ELK ecosystem (Kibana, Grafana) to Splunk Cloud, as part of setting up a dashboard providing a 360° view of services. Facilitating daily scoping and requirements gathering workshops to formalize a service description template, map service dependencies, and define KPIs for each application component.

● Implementation of Y-collection between ELK and Splunk Cloud via Fluentd for backend and frontend logs stored on AWS S3.

● Creation of Splunk indexes and configuration of parsing rules to improve log quality and normalization.

● Migration of custom dashboards and alerts (backend / frontend) to enhance proactive anomaly detection.

● Facilitation of scoping workshops for service modeling and KPI definition.

● Design of a dashboard mockup offering a 360° view of monitored services.

● Implementation of service health KPIs with dependency weighting for consolidated health status calculation.

● Setup of Notable Event Policies to centralize relevant alerts and report critical incidents.

● Development of correlation searches and configuration of hybrid actions for detection and processing orchestration.

Environment and tools: Micro-services, agile methodologies, Dynatrace(Signal fx), Docker, Terraform, Amazon Web Services, Git, Github Actions, Nexus, JIRA, Confluence, MongoDB, Linux, Python, Fluentd, S3, Splunk ITSI, Splunk Cloud, HTML/CSS, XML

Engie DGP, Paris, France

Leading and migrating Splunk Enterprise to the Splunk Cloud SaaS solution for better platform performance, with the aim of implementing and integrating a platform for managing the migration from Splunk Enterprise to Splunk Cloud (SaaS) to improve performance, modernize the platform, and converge business and IT monitoring uses. Implementation and integration of a cross-functional monitoring platform to unify operational and technical views within an enterprise information management system.

● Leading and scoping the migration strategy to Splunk Cloud in coordination with Splunk Professional Services teams.

● Technical and functional audit of the existing on-premise Splunk platform.

● Management of data flow openings (DOF) and conducting connectivity tests between different components.

● Migration of data onboarding mechanisms: Universal/Heavy Forwarders, HEC, Syslog, and APIs.

● Migration of Splunk applications, dashboards, saved searches, and knowledge objects.

● Implementation of validation tests and a dual run of indexers to secure the switchover.

● Gathering, scoping, and leading business and marketing requirements for the design of dashboards, reports, and service status indicators.

● Connecting UFs and HFs to Splunk Cloud indexers to ensure continuity of data collection and transmission.

● Deployment and configuration of new UFs and HFs on other application scopes.

● Drafting of detailed architecture documents (DAT) and functional specifications, covering data flows, network interconnections, monitoring components, and integration procedures.