Splunk Developer and Admin Course for Beginners

Learn why Splunk is essential for handling the exponential growth of machine data, enabling you to make sense of machine generated data and gain business visibility through dashboards and analytics.

Discover what Splunk is—a software platform to search, analyze, and visualize machine data from websites, applications, and devices in real time, enabling alerts and operational intelligence.

Explore Splunk functionality, including creating knowledge objects from data, saving them for fast lookups, and building dashboards to visualize and analyze data with real-time health monitoring and alerts.

Compare Splunk, ELK, and Sumo Logic for storing and processing machine data; weigh open-source options like Elasticsearch, Logstash, and Kibana against proprietary tools for real-time monitoring, analytics, and visualization.

Explore how Splunk analyzes big data and machine-generated data to deliver operational intelligence and business insights, and discover Splunk career paths from installation and license management to deployment and architecture.

Explore how Splunk use cases drive operational efficiency and real-time customer insights for Domino's Pizza, using multi-channel data (POS, online, mobile) to optimize promotions and service across geographies and devices.

Explore how Splunk architecture supports a two-stage data pipeline, from raw data intake to stage storage, parsing, indexing, and accessible search through dashboards and reports.

Explore the three key Splunk components—forwarders, indexers, and parsing and indexing—for turning logs into searchable data. Learn how universal and heavy forwarders affect real-time collection and bandwidth before indexing.

Explore Splunk architecture, including data forwarding, real-time monitoring, index creation, and distributed storage with failover. Learn deployment management, permissions, saved searches, reports, and knowledge objects to enrich and analyze data.

Explore how knowledge objects in Splunk enhance operational efficiency by monitoring events, triggering actions on conditions, and enriching data from history or runtime to generate reports and time charts.

Explore how Splunk knowledge objects and data models structure complex data to deliver meaningful representations with lookups, reports, balance charts and domain knowledge.

Learn how Splunk knowledge objects drive alerts, including real-time and scheduled alerts, criteria for triggering conditions, notification actions, and practical steps to create and configure alerts.

Learn how Splunk handles events as knowledge objects by forwarding data to Splunk, labeling each event with host, source, sourcetype, and index, and recording the event time for indexing.

Learn how to create and manage Splunk knowledge objects (event types) using search queries, configuration files, and saved searches, enabling colorized dashboards and alerting.

Explore how splunk knowledge objects and tags organize data, enable efficient searches, manage associations and permissions, and represent unique name-value pairings across tables.

Explore Splunk lookups, including lookup tables, external sources, store lookups, and the U.S. lookup; learn how to map keys to event data fields and populate reference data.

learn how to create and configure splunk lookups, including file-based and definition-based lookups, upload lookup files, define inputs and outputs, and edit or create new lookup definitions.

Master Splunk fields by extracting values from events, using regular expressions to pull employee names and IDs, and displaying extracted fields in Splunk Enterprise from source data feeds.

Explore how Splunk licensing works, comparing enterprise and cloud deployments, subscription options, and license limits, including free-tier limits, user counts, and clustering capabilities.

Manage master, slave, and pool licenses in Splunk to control daily indexing volumes and enforce aggregate limits, with live usage monitoring and warnings when thresholds are reached.

Learn how data ages in Splunk as it moves through bucket stages—from initial indexing to later storage—driven by age and size, with bucket changing policy and configuration files guiding transitions.

Learn how configuration files govern Splunk behavior and where they live in Splunk home, including system/local, apps, and defaults, and how customizations take effect after a restart.

Explore concepts related to .conf files, including configuration file stages, attribute values, directory priority, and editing practices with copies, documentation, examples, and testing.

Learn about common Splunk configuration files and how inputs, indexes, and forwarding determine where data is stored, indexed, and routed, with authentication settings and saved searches.

Explore index time versus search time, and how pre-index data processing, extraction, and segmentation shape event availability. Learn about source type customization, lookups, and handling time-of-source processing and exceptions.

Learn the Splunk admin roles and responsibilities, including installation, license management, forwarder deployment, data collection, clustering, and troubleshooting to ensure smooth operations.

Navigate a drag-and-drop workflow in Splunk to select a model, pick objects, and build a view or slice from a predefined data set within a workspace.

Learn to use the pivot editor to configure elements, drag and drop elements, set time ranges, and tailor the results table with adjustable rows and columns in Splunk.

Learn a practical pivoting example in Splunk by selecting windows and objects, configuring fields, and generating a dashboard view with filters, tables, and updates.

Learn how to create a Splunk report from the home page by searching audit log data, configuring fields and filters, and visualizing results with bubble, line, and pie charts.

Explore essential Splunk interview topics, from Splunk's purpose and components to licensing, knowledge objects, searches, lookups, charts, apps, and deployment best practices.