
Explore best practices for dashboards and views in Splunk, learn to create well-formed global searches, customize charts, handle events, and build dynamic drill-down workflows in Dashboard Studio.
Access a copy of Splunk Enterprise, set up the bots v3 data set, install the Log Analysis Made Easy app and add-ons, and build dashboards through hands-on labs.
Learn to use the bots v3 data set for accurate, reproducible data in Splunk. Compare bots v3 with event gen and follow steps to obtain and load data for tutorials.
Download the L.A.M.E. dashboard app zip, install from file, load it up, and press upload. It includes built-in event types and dashboards to follow along with each class section.
Begin overview of dashboards and views. Name view components, compare dashboard forms, and use simple XML syntax to troubleshoot views, create dynamic drilldowns, and follow best practices in Splunk.
Clarify Splunk terminology by contrasting views, dashboards, and forms. Explain how xml-based dashboards and json-based Dashboard Studio power front-end content and respond to user input.
Grasp the underlying nature of how views work and the components that make them, and explore the overview of dashboards and building frameworks; modules two and three focus on construction.
Explore XML syntax for Splunk dashboards and forms, including labels, panels, charts, and search nodes, and learn how the XML source editor aids editing, indentation, and encoding of special characters.
Explore how to create and edit Splunk dashboards, inspect XML sources, and build dynamic forms with tokens and lookups to drive drill-downs and data queries.
Troubleshoot Splunk dashboards by building modular components, checking view-source syntax, running searches manually, expanding macros and event types, and verifying tokens in custom HTML panels to ensure correct data.
Manage the views, dashboards, and forms by navigating to settings, user interface, and adjusting permissions. Understand how app context and global vs private settings control who can access each dashboard.
Plan dashboards with stakeholders using mockups, then build a simple Splunk prototype with basic searches, focusing on core concepts before adding advanced visualizations and performance features.
Learn to build Splunk dashboards with multiple visualizations by writing Splunk queries, pulling stream data, installing the Splunk Stream app, and using transforming commands like table and stats.
Learn how pre-built panels in Splunk enable reusable, consistent dashboards by letting non-technical users add complex visualizations, with updates propagating automatically across all dashboards.
Navigate to settings, user interface, pre-built panels to manage permissions and visibility. Set private, app, or global permissions to share panels across apps, and verify app context and owner.
Explore data models in Splunk, including the common information model, and learn to use the pipe data model command to query across datasets with improved search efficiency and reusable dashboards.
Explore forms in Splunk dashboards to create interactive, dynamic visualizations. Identify form input types, tokens, cascading inputs, and token filters, and manage tokens for real-time, user-driven data views.
Master interactive Splunk dashboards using form inputs and tokens with XML syntax, field sets, auto run or submit options, and dynamic token handling for drill downs and formatting.
Enhance Splunk dashboards by adding radio buttons, multiselects, and time inputs, exploring setup, troubleshooting, tokens, and how these inputs shape queries.
Learn to add text box, dropdowns, radio buttons, and multi-select inputs to Splunk dashboards, create tokens, and connect them to panels and queries for dynamic filtering.
Explore cascading drop downs in Splunk that dynamically filter one drop down based on another using tokens, linking index and source type for intuitive dashboards.
Explore token filters in Splunk to modify and format token values for dashboards and searches, using pipe S for quotes, pipe H for HTML encoding, and escaping dollar signs.
Explore global tokens in Splunk dashboards, leveraging environment variables to access user, system, and session details for dynamic, user-specific dashboards.
Explore how to use text, submit, date, drop-down, and multi-value inputs in Splunk dashboards, harness tokens, cascading inputs, and global tokens for user details, environment data, and system version.
Learn to improve dashboard and form performance by optimizing searches, accelerating two search methods, and using a global search across panels for faster data access.
Learn seven keys to building efficient, high performing dashboards in Splunk, including targeted searches, scheduled and accelerated data, stats command, global search with tokens, and optimized base searches.
Refine searches and write targeted, efficient queries to build fast, responsive dashboards. Limit time ranges, favor stats and tstats with accelerated data models, and test alternatives to optimize performance.
Learn to use Splunk's job inspector to compare query speed and efficiency, and apply techniques like limiting time range, choosing stats over dedupe, and avoiding wildcards to boost dashboards.
Learn how scheduling reports in Splunk dashboards reduces live searches and system load, boosting performance for static data by converting panels to reports or saving as scheduled searches.
Accelerate report performance in Splunk by creating and storing summary data, using transforming commands to build structured, searchable data, and leveraging accelerated data for faster dashboard queries.
Compare scheduled reports and accelerated dashboards in Splunk, detailing pros, cons, data freshness, and storage considerations. Use frequency, performance needs, and query requirements to decide when to schedule versus accelerate.
Explore data model acceleration in Splunk, creating a tcid-based structured overlay to speed searches, and use the Common Information Model to normalize fields across sources.
Learn to work with the network traffic data model by constraining indexes with a macro, accelerating data for bots v3, and tagging data with network and communicate.
Learn to craft tstats queries in Splunk by piping tstats from a data model, using dot notation, and applying group by and where clauses to filter results.
Accelerate a datamodel in Splunk dashboarding by adjusting backfill ranges and summarization settings to speed up query times. Observe the backfill progress and how accelerated data improves performance.
Accelerate your Splunk searches with data model acceleration, boosting dashboard performance and query speed, while managing storage and field changes by turning off acceleration and rebuilding the model.
Explore global searches in splunk, using a single base search for multiple panels with post-process searches to tailor each panel while improving dashboard performance.
Improve dashboard efficiency by using global and base searches, report acceleration, and scheduled searches to reduce queries, while applying table and stats commands and t stats to speed data retrieval.
Customize dashboards by tweaking charts and panels through their options, setting refresh intervals and delays, and disabling search actions to tailor how dashboards look and behave by default.
Use the dashboard editor to build and update dashboards by editing the underlying XML. Customize charts, colors, axis labels, and panel properties with direct XML edits and the visualization formatter.
Learn to elevate Splunk dashboarding with the dashboard examples app, exploring charts, maps, tables, and single value visuals, plus drill downs, trendlines, sparklines, and color formatting.
Explore simple XML structures that organize data into rows and panels, showing expand and collapse, side-by-side layouts, and rules for placing visualizations one per row or beside each other.
Explore how to create trellis visualizations in Splunk dashboards by splitting a single query's results by action or category, adjusting size and scale, and enabling via XML.
Demonstrate trellis visualization by running bots v3 tcp data query counting self-signed certs by app, then build a trellis dashboard with pie or bar charts split by app or cert.
Learn how to customize panel link buttons in Splunk dashboards, controlling visibility, refresh indicators, inspect and export options, and routing links to new views or dashboards.
Demonstrates creating a Splunk dashboard, adding a statistics table panel with a 60-minute time window, and configuring panel options such as link visibility, refresh time, inspect, search, and export.
Discover how refresh indicators display progress with options like progress bar, none, or preview, and how auto refresh delay uses delay vs interval with a ten-minute example.
Explore refreshing panels in Splunk dashboarding by auto-refreshing inline searches every 10 seconds after completion, keeping data up to date.
Explore dashboard customization by modifying charts and panel options, configure panel refresh and delay times, and disable search links such as inspect and download, using examples to build hands-on proficiency.
Learn to handle user input with tokens in dashboards, identify three event handler types and actions, capture form labels and values, pass variables, and enable panning, zooming, and conditional matching.
Explore the three primary ways of event handling in Splunk dashboards—form inputs, searches, and visualizations—and learn how tokens trigger dynamic, context-aware updates.
Learn set and eval in Splunk simple XML to manipulate tokens in dashboards. Use set for static or copied values and eval for expressions, concatenation, and conditional logic.
Learn to generate tokens from dashboard search results in Splunk by assigning event counts and first field values to tokens, and update labels dynamically using XML tokens, eval, and set.
Learn to use the link option in Splunk dashboarding with caution, as redirects can destabilize dashboards. Compare links to drilldowns and note the need for https and q= parameters.
Harness conditions to create dynamic, real-time dashboards in Splunk dashboarding, using tokens to update views and toggle panel visibility, noting Dashboard Studio's limited conditional logic relative to Dashboard Classic.
Demonstrate conditional visibility by wiring a token and index to a panel, showing the panel only when a query returns more than zero results (bots v3 vs bots v5).
Explore how to use condition statements in Splunk dashboarding to set and unset tokens from radio button selections, switch between label and value, and drive conditional panels with depends.
Identify the three types of event handlers: search, visualizations, and form input, and apply drill downs, pan and zoom, and conditional statements to boost dashboard power and user functionality.
Explore how drill downs enhance dashboards and visualizations by enabling dynamic and contextual interactions, and identify predefined tokens for the four drill downs.
Explore input field tokens and contextual drilldowns in Splunk dashboarding, showing how user clicks pass tokens to update dashboards and trigger cell-based navigations to a new search page.
Discover how to configure drilldown options in the Splunk GUI, including linking to searches, passing form tokens, and opening results in new tabs.
Explore predefined tokens in Splunk dashboards to pass the clicked name and value from the leftmost table column into drills and visualizations such as maps and charts.
Explore how workflow actions enable drill-downs in Splunk dashboards, from out-of-the-box options to enterprise security extensions, including asset, intrusion, and malware data exploration.
Design and implement a new workflow action in a dashboard, applying it to destination IPs to drill down with external lookups like Google this IP via get or post requests.
Review the four types of drill downs, including dynamic and contextual drill downs with predefined tokens, and preview Dashboard Studio alongside classic dashboards.
Explore dashboard studio versus dashboard classic, highlighting JSON-based studio’s flexible visualizations and image backgrounds, with faster data flow, while noting current limitations like token-driven visibility.
Explore dashboard studio by setting a background image, using absolute layout, and managing images via the static images directory and kv store, guided by the intro dashboard studio tutorial.
Explore creating and formatting tables and visualizations in Splunk dashboarding, using layers, cloning, drill-downs, and token naming to produce clear, interactive dashboards.
Master tokens and drilldowns to build interactive Splunk dashboards, linking inputs and chain searches across data sources and enabling token-driven drilldowns by source type.
Learn to migrate classic Splunk XML dashboards to Dashboard Studio in Splunk 10 using the native conversion tool, review the conversion report, and address HTML, Markdown, and conditional challenges.
Publish Splunk dashboards to a public login-free link via dashboard studio, with admin-enabled rights for publishing and scheduled searches, and share high-level KPIs with read-only access and expiration.
Master best practices for views and dashboards in Splunk. Build fast, responsive dashboards with global searches, custom charts, and event handlers for DNS queries and VirusTotal.
In our comprehensive Splunk Dashboards and Visualization course on Udemy, you will master the art of creating powerful and insightful dashboards that can transform your data into actionable intelligence. This course is designed to equip you with the skills and best practices needed to design, implement, and manage effective dashboards using Splunk’s robust platform.
Key Training Objectives:
Apply Best Practices When Creating Views/Dashboards:
Learn the foundational principles and best practices for designing clean, efficient, and user-friendly dashboards. Understand how to structure your views to provide the most value to your end-users, ensuring your dashboards are intuitive and accessible.
Create Well-Formed, Global Searches:
Develop the ability to create efficient and reusable searches that can be applied across various dashboards. This includes crafting global searches that provide consistent data outputs, enhancing the reliability and performance of your visualizations.
Customize Charts and Dashboards:
Gain proficiency in tailoring charts and dashboards to meet specific business requirements. Customize visual elements to better represent your data, making use of Splunk’s diverse set of visualization tools to create impactful and meaningful representations of your data.
Use Event Handlers:
Learn how to implement event handlers to add interactivity to your dashboards. Understand how to trigger specific actions based on user inputs and events, creating a more dynamic and responsive user experience.
Create Dynamic and Contextual Drilldowns:
Master the techniques for creating drilldowns that provide deeper insights into your data. Enable users to explore data at various levels of granularity by setting up dynamic and contextual drilldowns that respond to user interactions.
Use Dashboard Studio:
Explore the capabilities of Splunk’s Dashboard Studio to create sophisticated and visually appealing dashboards. Learn how to leverage this powerful tool to design custom layouts, integrate various data sources, and enhance the overall look and functionality of your dashboards.
By the end of this course, you will have a thorough understanding of how to create, customize, and manage Splunk dashboards that are both powerful and user-friendly. Whether you are a beginner looking to get started with Splunk or an experienced user aiming to refine your skills, this course will provide you with the knowledge and practical experience needed to excel in the field of data visualization and dashboard creation.