Martin Lekpa

Observability & Automation Expert (Dynatrace / Monaco)

Specializing in the implementation of advanced observability strategies, I am involved in the entire lifecycle of monitoring platforms, from governance to business support. My expertise focuses on industrializing Dynatrace environments and aligning IT performance with business objectives.

🛠️ Technical Expertise & Automation

Infrastructure as Code (IaC): Complete automation of Dynatrace cluster management using the Monaco tool (Monitoring as Code). Industrialization of configuration, backup, and versioning of monitoring components to ensure total reproducibility.

Pipeline & CI/CD: Integration of observability directly into deployment pipelines for continuous software quality control.

IT Ecosystem: Mastery of interactions with other tools in the value chain (ITSM, APM, Logs) for a 360° view of the IS.

📈 Performance Steering (SRE)

Design and deployment of reliability and steering indicators:

Definition of SLOs (Service Level Objectives): Aligning technical aspects with business needs.

Strategic Dashboards: Creation of decision-making and operational views for increased responsiveness.

Intelligent Alerting: Configuration of precise metric events to reduce noise and isolate root causes (Root Cause Analysis).

🤝 Support & Consulting

Project Support: Assisting application teams on the platform to adopt best observability practices.

Governance: Establishing standardized configuration frameworks to ensure the scalability of environments.

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Log Engineering & ELK Stack Expert

Specializing in monitoring data, I master the entire log processing chain, from server extraction to decision-making restitution. My approach is based on systematic automation and methodological support for project teams.

🏗️ Industrialization of Collection (Pipeline as Code)

Automated deployment and management via Ansible of the log transport architecture, ensuring high availability and scalability:

Edge Collection: Configuration of Filebeat (Linux/Unix systems) and Winlogbeat (Windows environments) for lightweight and secure stream capture.

Streaming Architecture: Implementation of Kafka as a buffer zone to absorb load peaks and ensure data persistence before processing.

Processing & Normalization: Steering Logstash to transform raw data into structured and actionable information.

Cluster Management: Administration and optimization of the Elasticsearch, Logstash, Kibana (ELK) suite for storage and analysis.

🤝 Project Support & Data Expertise

I act as a technical advisor to help projects make the most of their data:

Collection Audit: Precise identification of critical log sources and definition of capture scopes.

Data Modeling: Building coherent data schemas (important fields) and developing complex Logstash filters (Grok, Mutate, Dissect).

Elasticsearch Governance: Designing Data Streams and Index Templates to optimize search performance and data lifecycle management (ILM).

Data Visualization: Creating intuitive Kibana dashboards for quick incident and trend analysis.

Proactivity: Implementing alerting strategies based on thresholds or anomalies to anticipate service degradations.