Riyaj Shaikh

Background

About Riyaj Shaikh

Comprehensive IT Expertise: 4.1 years working on diverse IT systems, servers, and applications, covering analysis, design, testing, implementation, and training, with a strong focus on the ELK stack (Elasticsearch, Logstash, Kibana, and Beats).• Log Monitoring & Analytics: Extensive background in log monitoring, APM, uptime and metrics applications, SIEM, alerting, dashboard creation, visualization, search query development, and time series analytics using ELK.• Cluster & Pipeline Management: Proven experience managing Elasticsearch clusters, configuring ILM policies, and designing Logstash pipelines, including developing grok patterns and leveraging various Logstash filters.• Understood Client’s use cases, suggested the best size of the cluster, designed their architecture and helped to set it up from scratch• Understand clients’ requirements and use cases, suggest the best optimized cluster architecture.• Understand the application and help to setup Search systems based on their requirement• Data Ingestion & Integration: Skilled in setting up ingest pipelines, managing fleet configurations, data streaming, and integrating multiple data sources.• Machine Learning with ELK: Strong expertise in applying machine learning within the ELK environment, including anomaly detection and predictive analytics.• 24/7 Production Support: Adept at troubleshooting and supporting production issues around the clock.• Regex & Unstructured Data: Proficient in writing complex regex patterns to parse unstructured data.• Diverse Log Observability: Hands-on experience with logs from Apache, IIS, MySQL, AWS, system metrics, Windows events, Auditbeat, Cisco devices, firewalls, and various application logs.• Expertise with ELK Beats: Extensive work with Auditbeat, Filebeat, Packetbeat, Metricbeat, and Winlogbeat.• Advanced ML & Watcher Configurations: Experience setting up machine learning jobs using Kibana’s X-Pack ML for anomaly detection, along with configuring watchers for root-cause analysis and KPI prediction.• Alerting & SIEM Rules: Proven ability in creating complex alerts, watchers, search queries, DSL queries, reports, and SIEM detection rules.• Cluster Architecture: Skilled in managing and provisioning clusters, setting up indexes with tailored ILM policies, designing hot/warm architectures, and managing shards and replicas.• Data Visualization & Discovery: Developed insightful visualizations and dashboards in Kibana for rapid data analysis.