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Published 8/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 7h 58m | Size: 3.82 GB Splunk Backend Administration and Data Onboarding What you'll learn Comprehend the core components and architecture of Splunk, including indexers, search heads, and forwarders. Understand the principles and implementation of indexer clustering to ensure data replication and fault tolerance. Master the setup and management of search head clusters for high availability and load balancing. Acquire skills to identify, diagnose, and resolve common issues in Splunk deployments, ensuring continuous system health and availability. Requirements A basic understanding of System Administration commands on a Linux (we will use Ubuntu) Operating System. Description Unlock the full potential of Splunk with our comprehensive course, "Supercharge Your Knowledge for Splunk System Administration." This course is designed for IT professionals, data analysts, and system administrators who want to become proficient in setting up and managing Splunk environments, as well as effectively ingesting and analyzing logs from diverse sources.Course Objectives:Understand the core components and architecture of Splunk.Learn best practices for setting up a scalable and secure Splunk infrastructure.Gain hands-on experience in installing and configuring Splunk on various platforms.Explore different methods of log ingestion, including forwarders, syslog, APIs, and cloud services.Master the process of indexing and parsing data to optimize search performance.Develop skills to monitor and troubleshoot Splunk deployments.Implement security measures to protect data and ensure compliance.Key Topics:Introduction to Splunk:Overview of Splunk's architecture and componentsKey use cases and benefitsSetting Up Splunk Infrastructure:System requirements and planningInstallation and configuration of Splunk EnterpriseDeploying Splunk in distributed environmentsData Ingestion Methods:Understanding data sources and data typesConfiguring forwarders for efficient data collectionUsing syslog for centralized loggingIngesting data via APIs and cloud servicesIndexing and Parsing Data:Creating and managing indexesConfiguring inputs.conf and props.conf for data parsingUtilizing field extractions and data transformationsMonitoring and Troubleshooting:Setting up monitoring tools and dashboardsIdentifying and resolving common issuesPerformance tuning and optimization. Who this course is for For people who want to find employment or improve their skills using Spunk Homepage Screenshots