What's included

• Implementation of Monitoring Solutions

  Deploy and configure Zabbix, Nagios, and New Relic for system, application, and infrastructure monitoring; Set up custom monitoring dashboards to visualize key metrics such as CPU, memory, disk usage, and network performance; Define and configure threshold-based alerts to proactively detect performance issues and failures.

• Customization of Monitoring Solutions Based on Customer Needs

  Develop and integrate custom plugins, scripts, and APIs to extend monitoring capabilities; Configure custom alerts, notifications, and escalations to align with business and operational requirements; Implement multi-layer monitoring (infrastructure, application, and service-level monitoring) tailored to specific customer needs.

• Log Management and Centralized Logging

  Learning how to configure and maintain centralized log management solutions using tools like ELK (Elasticsearch, Logstash, Kibana), Loki, or Fluentd; Collect, parse, and analyze logs from servers, applications, network devices, and cloud services; Implement log retention policies, archival strategies, and access controls to ensure compliance with security standards.

• Integration with Cloud and DevOps Pipelines

  Integrate monitoring and logging tools with AWS CloudWatch, Azure Monitor, and Kubernetes (Prometheus, Grafana); Enable real-time log streaming and analytics for cloud-native and containerized applications; Automate monitoring deployment using Terraform, Ansible, or Helm charts for consistency across environments.

• Performance Tuning & Optimization

  Analyze system and application logs to identify performance bottlenecks and optimize resource usage; Implement predictive analytics and anomaly detection to prevent potential failures before they impact operations; Utilize New Relic APM, Zabbix trends, or Nagios plugins to fine-tune application performance monitoring.

• Incident Response and Root Cause Analysis

  Develop and maintain incident response workflows based on monitoring alerts and log analysis; Conduct post-incident reviews and root cause analysis (RCA) to prevent future occurrences; Implement automated remediation actions using self-healing scripts or AI-driven monitoring tools.