This document provides an overview and agenda for a Splunk Machine Data Workshop. It discusses Splunk's approach to machine data, its industry-leading platform capabilities, and covers topics including non-traditional data sources, data enrichment, advanced search and reporting commands, data models and pivots, custom visualizations, and workshop setup instructions. Attendees will learn how to index sample data, perform searches, detect patterns, and explore non-traditional data sources.
Splunk Tutorial for Beginners - What is Splunk | EdurekaEdureka!
The document discusses Splunk, a software platform used for searching, analyzing, and visualizing machine-generated data. It provides an example use case of Domino's Pizza using Splunk to gain insights from data from various systems like mobile orders, website orders, and offline orders. This helped Domino's track the impact of various promotions, compare performance metrics, and analyze factors like payment methods. The document also outlines Splunk's components like forwarders, indexers, and search heads and how they allow users to index, store, search and visualize data.
Splunk is a tool that indexes and searches data to generate graphs, alerts, and dashboards. It can analyze data from sources like logs, metrics, and other sources on both local and remote machines. Key concepts in Splunk include indexes which are databases that store events, which are individual data entries that are broken down and tagged with metadata during indexing. Searches in Splunk return results in tabs for events, statistics, and visualizations.
This document discusses Splunk Enterprise Security and its frameworks for analyzing security data. It provides an overview of Splunk's security portfolio and how it addresses challenges with legacy SIEM solutions. Key frameworks covered include Notable Events for streamlining incident management, Asset and Identity for enriching incidents with contextual data, Risk Analysis for prioritizing incidents based on quantitative risk scores, and Threat Intelligence for detecting indicators of compromise in machine data. Interactive dashboards and incident review interfaces are highlighted as ways to investigate threats and monitor the security posture.
The document discusses how Splunk provides a platform for operational intelligence by unifying machine data from various IT systems and applications. It summarizes Splunk's capabilities for monitoring infrastructure components, applications, and virtual environments. The presentation includes an agenda, descriptions of IT complexity challenges and how Splunk addresses them with its platform. It also provides overviews and demonstrations of specific Splunk apps for monitoring Exchange, VMware, NetApp, and other systems.
The document provides an overview of the Splunk data platform. It discusses how Splunk helps organizations overcome challenges in turning real-time data into action. Splunk provides a single platform to investigate, monitor, and take action on any type of machine data from any source. It enables multiple use cases across IT, security, and business domains. The document highlights some of Splunk's products, capabilities, and customer benefits.
Splunk Webinar: Full-Stack End-to-End SAP-Monitoring mit SplunkSplunk
This document discusses Splunk software solutions for monitoring SAP environments. It provides overviews of Splunk products for SAP monitoring including Service Intelligence for SAP, SAP AIOps, and SAP Security. It describes using Splunk to monitor daily SAP operations, infrastructure performance, and applications. Case studies show benefits like reducing mean time to repair by 70% and downtime by 64%. The document also covers deployment architecture and includes links to additional resources.
Splunk produces software for searching, monitoring, and analyzing machine-generated big data. It turns machine data into valuable insights. With the Splunk log file generated using the Splunk cloud product, helps you to not only track your data over the Splunk cloud environment but also analyze and visualize the data as well.
If you are looking to gain all the benefits of Splunk software with all the benefits of a cloud-service, this is a must-attend session. In this session learn why Splunk Cloud is the industry-leading SaaS platform for operational intelligence and hear how Splunk Cloud customers use Splunk software with zero operational overhead. You will also learn how Splunk Cloud offers the full feature set of Splunk Enterprise, access to 500+ apps and single pane-of-glass visibility across Splunk Cloud and Splunk Enterprise deployments.
Splunk Tutorial for Beginners - What is Splunk | EdurekaEdureka!
The document discusses Splunk, a software platform used for searching, analyzing, and visualizing machine-generated data. It provides an example use case of Domino's Pizza using Splunk to gain insights from data from various systems like mobile orders, website orders, and offline orders. This helped Domino's track the impact of various promotions, compare performance metrics, and analyze factors like payment methods. The document also outlines Splunk's components like forwarders, indexers, and search heads and how they allow users to index, store, search and visualize data.
Splunk is a tool that indexes and searches data to generate graphs, alerts, and dashboards. It can analyze data from sources like logs, metrics, and other sources on both local and remote machines. Key concepts in Splunk include indexes which are databases that store events, which are individual data entries that are broken down and tagged with metadata during indexing. Searches in Splunk return results in tabs for events, statistics, and visualizations.
This document discusses Splunk Enterprise Security and its frameworks for analyzing security data. It provides an overview of Splunk's security portfolio and how it addresses challenges with legacy SIEM solutions. Key frameworks covered include Notable Events for streamlining incident management, Asset and Identity for enriching incidents with contextual data, Risk Analysis for prioritizing incidents based on quantitative risk scores, and Threat Intelligence for detecting indicators of compromise in machine data. Interactive dashboards and incident review interfaces are highlighted as ways to investigate threats and monitor the security posture.
The document discusses how Splunk provides a platform for operational intelligence by unifying machine data from various IT systems and applications. It summarizes Splunk's capabilities for monitoring infrastructure components, applications, and virtual environments. The presentation includes an agenda, descriptions of IT complexity challenges and how Splunk addresses them with its platform. It also provides overviews and demonstrations of specific Splunk apps for monitoring Exchange, VMware, NetApp, and other systems.
The document provides an overview of the Splunk data platform. It discusses how Splunk helps organizations overcome challenges in turning real-time data into action. Splunk provides a single platform to investigate, monitor, and take action on any type of machine data from any source. It enables multiple use cases across IT, security, and business domains. The document highlights some of Splunk's products, capabilities, and customer benefits.
Splunk Webinar: Full-Stack End-to-End SAP-Monitoring mit SplunkSplunk
This document discusses Splunk software solutions for monitoring SAP environments. It provides overviews of Splunk products for SAP monitoring including Service Intelligence for SAP, SAP AIOps, and SAP Security. It describes using Splunk to monitor daily SAP operations, infrastructure performance, and applications. Case studies show benefits like reducing mean time to repair by 70% and downtime by 64%. The document also covers deployment architecture and includes links to additional resources.
Splunk produces software for searching, monitoring, and analyzing machine-generated big data. It turns machine data into valuable insights. With the Splunk log file generated using the Splunk cloud product, helps you to not only track your data over the Splunk cloud environment but also analyze and visualize the data as well.
If you are looking to gain all the benefits of Splunk software with all the benefits of a cloud-service, this is a must-attend session. In this session learn why Splunk Cloud is the industry-leading SaaS platform for operational intelligence and hear how Splunk Cloud customers use Splunk software with zero operational overhead. You will also learn how Splunk Cloud offers the full feature set of Splunk Enterprise, access to 500+ apps and single pane-of-glass visibility across Splunk Cloud and Splunk Enterprise deployments.
Exploring Frameworks of Splunk Enterprise SecuritySplunk
This document discusses Splunk Enterprise Security and its frameworks for addressing security operations challenges. It provides an overview of Splunk's security portfolio and how it can help with issues like slow investigations, limited data ingestion, and inflexible deployments faced by legacy SIEMs. Key frameworks covered include the Notable Events framework for streamlining incident management across the entire lifecycle from detection to remediation. It also discusses the Asset and Identity framework for automatically enriching incidents with relevant context to help with rapid qualification and situational awareness.
Splunk for Enterprise Security featuring User Behavior AnalyticsSplunk
This session will review Splunk’s two premium solutions - Splunk Enterprise Security (ES) is Splunk's award-winning security intelligence solution that brings immediate value for continuous monitoring across SOC and
incident response environments. Splunk UBA is a new technology that applies unsupervised machine learning and data science to solving one of the biggest problems in information security today: insider threat. You’ll learn how Splunk UBA works in tandem with ES, or third-party data sources, to bring significant automated analytical power to your SOC and Incident Response teams.
Splunk is a scalable software that indexes and searches logs and IT data in real time. It can analyze data from any application, server, or device. Splunk uses a server component and forwarders to collect and index streaming data, and provides a web interface for searching, reporting, monitoring and alerting on the data.
This document provides an overview of threat hunting using Splunk. It begins with an introduction to threat hunting and why it is important. The presentation then discusses key building blocks for driving threat hunting maturity, including search and visualization, data enrichment, ingesting data sources, and applying machine learning. It provides examples of internal data sources that can be used for hunting like IP addresses, network artifacts, DNS, and endpoint data. The presentation demonstrates hunting using the Microsoft Sysmon endpoint agent, walking through an example attack scenario matching the Cyber Kill Chain framework. It shows how to investigate a potential compromise by searching across web, DNS, proxy, firewall, and endpoint data in Splunk to trace suspicious activity back to a specific user.
Splunk for Enterprise Security and User Behavior AnalyticsSplunk
This session will review Splunk’s two premium solutions for information security organizations: Splunk for Enterprise Security (ES) and Splunk User Behavior Analytics (UBA). Splunk ES is Splunk's award-winning security intelligence solution that brings immediate value for continuous monitoring across SOC and incident response environments – allowing you to quickly detect and respond to external and internal attacks, simplifying threat management while decreasing risk. Splunk UBA is a new technology that applies unsupervised machine learning and data science to solving one of the biggest problems in information security today: insider threat. You’ll learn how Splunk UBA works in tandem with ES, or third-party data sources, to bring significant automated analytical power to your SOC and Incident Response teams. We’ll discuss each solution and see them integrated and in action through detailed demos.
This document provides an overview and introduction to Splunk, including:
1. It discusses the challenges of machine data including volume, velocity, variety and variability.
2. Splunk's mission is to make machine data accessible, usable and valuable to everyone.
3. It demonstrates how Splunk can unlock critical insights from machine data sources like order processing, social media, customer service systems and more.
Splunk provides software that allows users to search, monitor, and analyze machine-generated data. It collects data from websites, applications, servers, networks and other devices and stores large amounts of data. The software provides dashboards, reports and alerts to help users gain operational intelligence and insights. It is used by over 4,400 customers across many industries to solve IT and business challenges.
Here’s your chance to get hands-on with Splunk for the first time! Bring your modern Mac, Windows, or Linux laptop and we’ll go through a simple install of Splunk. Then, we’ll load some sample data, and see Splunk in action – we’ll cover searching, pivot, reporting, alerting, and dashboard creation. At the end of this session you’ll have a hands-on understanding of the pieces that make up the Splunk Platform, how it works, and how it fits in the landscape of Big Data. You’ll experience practical examples that differentiate Splunk while demonstrating how to gain quick time to value.
This document provides an overview of setting up a Splunk environment, including installation, configuration, and deployment options. It discusses installing Splunk Enterprise or Universal Forwarder software, enabling Splunk to run at system startup, and optionally configuring the Distributed Management Console. Recommendations are provided for system prerequisites like hardware sizing, ports, and time synchronization across servers. Standalone, distributed, and universal forwarder deployment models are introduced at a high level.
The simplicity and variability of searches can be a blessing and a curse. How can you tell if searches are really efficient? Splunk has a job inspector, but what do all the options mean? Are you using the right commands for your goal? Is there a better way to do this? This session will review the internals of how a search is performed, use of job inspector, search log, review of where and when to use certain commands.
The document appears to be a presentation by Splunk Inc. discussing their data platform. Some key points:
1. Splunk's platform allows customers to investigate, monitor, analyze and act on data from any source in real-time.
2. It addresses challenges of collecting and making sense of massive amounts of data from various systems and devices across IT, security, and IoT use cases.
3. Splunk provides solutions and services to help customers accelerate their data journey from initial investigation to taking action.
Getting started with Splunk - Break out SessionGeorg Knon
This document provides an overview and getting started guide for Splunk. It discusses what Splunk is for exploring machine data, how to install and start Splunk, add sample data, perform basic searches, create saved searches, alerts and dashboards. It also covers deployment and integration topics like scaling Splunk, distributing searches across data centers, forwarding data to Splunk, and enriching data with lookups. The document recommends resources like the Splunk community for further support.
This document provides an overview of Splunk, including:
- Splunk's main functionality is real-time log collection, indexing, and analytics of time series data through search queries and data exploration/visualization capabilities.
- Reasons to use Splunk include its proven success in the field, flexible and user-friendly interface, and ability to handle large volumes of data from various sources through infinite scaling.
- Splunk uses a MapReduce-based architecture to index and search large volumes of data across multiple servers.
Splunk is a software that captures, indexes, and analyzes machine-generated data in real-time to generate operational intelligence across an organization. It transforms raw data into searchable events that can then be searched, visualized, and used to create reports, alerts, and dashboards. Splunk offers features like searching and investigating data, data modeling and pivoting, visualization and reporting, and monitoring and alerts. It is easy to deploy, load data into, and search and visualize data to gain insights. However, Splunk can be expensive for some organizations.
This document provides an overview of data models in Splunk:
- A data model maps raw machine data onto a hierarchical structure to encapsulate domain knowledge and enable non-technical users to interact with data via pivot reports.
- There are three root object types: events, searches, and transactions. Objects have constraints, attributes, and inherit properties from parent objects.
- Data models are built using the UI or REST API. Pivot reports leverage data models by generating optimized search strings from the model.
- Data model acceleration improves performance of pivot reports by pre-computing searches on disk. Only the first event object and descendants are accelerated by default.
This document provides an overview of Splunk, including how to install Splunk, configure licenses, perform searches, set up alerts and reports, and manage deployments. It discusses indexing data, extracting fields, tagging events, and using the web interface. The goal is to get users started with the basic functions of Splunk like searching, reporting and monitoring.
ntroduced in Splunk 6.2, the Distributed Management Console helps Splunk Admins deal with the monitoring and health of their Splunk deployment. In Splunk 6.3, we built views for Splunk Index and Volume Usage, Forwarder Monitoring, Search Head Cluster Monitoring, Index Cluster Monitoring, and tools for visualizing your Splunk Topology. Leverage Splunk DMC and come see the forest -and- the trees in your Splunk deployment!
Learn from our Security Expert on how to use the Splunk App for Enterprise Security (ES) in a live, hands-on session. We'll take a tour through Splunk's award-winning security offering to understand some of the unique capabilities in the product. Then, we'll use ES to work an incident and disrupt an adversary's Kill Chain by finding the Actions on Intent, Exploitation Methods, and Reconnaissance Tactics used against a simulated organization. Data investigated will include threat list intelligence feeds, endpoint activity logs, e-mail logs, and web access logs. This session is a must for all security experts! Please bring your laptop as this is a hands-on session.
Splunk Enterpise for Information Security Hands-OnSplunk
Splunk is the ultimate tool for the InfoSec hunter. In this unique session, we’ll dive straight into the Splunk search interface, and interact with wire data harvested from various interesting and hostile environments, as well as some web access logs. We’ll show how you can use Splunk Enterprise with a few free Splunk applications to hunt for attack patterns. We’ll also demonstrate some ways to add context to your data in order to reduce false positives and more quickly respond to information. Bring your laptop – you’ll need a web browser to access our demo systems!
Getting Started with Splunk Enterprise - DemoSplunk
Splunk can be used to analyze log data from an online gaming company to help identify issues causing customer complaints. The demo shows how to ingest sample log data, perform searches to find error codes and pages, create alerts, and generate statistics and reports on the data. Dynamic field extraction, pivoting, and over 140 search commands allow transforming and analyzing the data in various ways. Results can be saved as dashboards and applications for ongoing monitoring and insights.
The document provides an overview of Splunk's machine data platform and capabilities for collecting, analyzing, and visualizing machine data from various sources. It discusses Splunk's approaches to machine data including universal indexing and schema-on-the-fly. It also covers Splunk's portfolio including apps, add-ons, and premium solutions. Finally, it discusses various methods for collecting non-traditional data sources such as network inputs, HTTP Event Collector, log event alerts, Splunk Stream, scripted inputs, database inputs, and modular inputs.
Machine Data Workshop 101 provides an overview of Splunk's machine data platform and capabilities. It discusses Splunk's approach to collecting and indexing machine data from both traditional and non-traditional sources. The workshop also covers techniques for data enrichment including tags, field aliases, calculated fields, and lookups to provide additional context to machine data.
Exploring Frameworks of Splunk Enterprise SecuritySplunk
This document discusses Splunk Enterprise Security and its frameworks for addressing security operations challenges. It provides an overview of Splunk's security portfolio and how it can help with issues like slow investigations, limited data ingestion, and inflexible deployments faced by legacy SIEMs. Key frameworks covered include the Notable Events framework for streamlining incident management across the entire lifecycle from detection to remediation. It also discusses the Asset and Identity framework for automatically enriching incidents with relevant context to help with rapid qualification and situational awareness.
Splunk for Enterprise Security featuring User Behavior AnalyticsSplunk
This session will review Splunk’s two premium solutions - Splunk Enterprise Security (ES) is Splunk's award-winning security intelligence solution that brings immediate value for continuous monitoring across SOC and
incident response environments. Splunk UBA is a new technology that applies unsupervised machine learning and data science to solving one of the biggest problems in information security today: insider threat. You’ll learn how Splunk UBA works in tandem with ES, or third-party data sources, to bring significant automated analytical power to your SOC and Incident Response teams.
Splunk is a scalable software that indexes and searches logs and IT data in real time. It can analyze data from any application, server, or device. Splunk uses a server component and forwarders to collect and index streaming data, and provides a web interface for searching, reporting, monitoring and alerting on the data.
This document provides an overview of threat hunting using Splunk. It begins with an introduction to threat hunting and why it is important. The presentation then discusses key building blocks for driving threat hunting maturity, including search and visualization, data enrichment, ingesting data sources, and applying machine learning. It provides examples of internal data sources that can be used for hunting like IP addresses, network artifacts, DNS, and endpoint data. The presentation demonstrates hunting using the Microsoft Sysmon endpoint agent, walking through an example attack scenario matching the Cyber Kill Chain framework. It shows how to investigate a potential compromise by searching across web, DNS, proxy, firewall, and endpoint data in Splunk to trace suspicious activity back to a specific user.
Splunk for Enterprise Security and User Behavior AnalyticsSplunk
This session will review Splunk’s two premium solutions for information security organizations: Splunk for Enterprise Security (ES) and Splunk User Behavior Analytics (UBA). Splunk ES is Splunk's award-winning security intelligence solution that brings immediate value for continuous monitoring across SOC and incident response environments – allowing you to quickly detect and respond to external and internal attacks, simplifying threat management while decreasing risk. Splunk UBA is a new technology that applies unsupervised machine learning and data science to solving one of the biggest problems in information security today: insider threat. You’ll learn how Splunk UBA works in tandem with ES, or third-party data sources, to bring significant automated analytical power to your SOC and Incident Response teams. We’ll discuss each solution and see them integrated and in action through detailed demos.
This document provides an overview and introduction to Splunk, including:
1. It discusses the challenges of machine data including volume, velocity, variety and variability.
2. Splunk's mission is to make machine data accessible, usable and valuable to everyone.
3. It demonstrates how Splunk can unlock critical insights from machine data sources like order processing, social media, customer service systems and more.
Splunk provides software that allows users to search, monitor, and analyze machine-generated data. It collects data from websites, applications, servers, networks and other devices and stores large amounts of data. The software provides dashboards, reports and alerts to help users gain operational intelligence and insights. It is used by over 4,400 customers across many industries to solve IT and business challenges.
Here’s your chance to get hands-on with Splunk for the first time! Bring your modern Mac, Windows, or Linux laptop and we’ll go through a simple install of Splunk. Then, we’ll load some sample data, and see Splunk in action – we’ll cover searching, pivot, reporting, alerting, and dashboard creation. At the end of this session you’ll have a hands-on understanding of the pieces that make up the Splunk Platform, how it works, and how it fits in the landscape of Big Data. You’ll experience practical examples that differentiate Splunk while demonstrating how to gain quick time to value.
This document provides an overview of setting up a Splunk environment, including installation, configuration, and deployment options. It discusses installing Splunk Enterprise or Universal Forwarder software, enabling Splunk to run at system startup, and optionally configuring the Distributed Management Console. Recommendations are provided for system prerequisites like hardware sizing, ports, and time synchronization across servers. Standalone, distributed, and universal forwarder deployment models are introduced at a high level.
The simplicity and variability of searches can be a blessing and a curse. How can you tell if searches are really efficient? Splunk has a job inspector, but what do all the options mean? Are you using the right commands for your goal? Is there a better way to do this? This session will review the internals of how a search is performed, use of job inspector, search log, review of where and when to use certain commands.
The document appears to be a presentation by Splunk Inc. discussing their data platform. Some key points:
1. Splunk's platform allows customers to investigate, monitor, analyze and act on data from any source in real-time.
2. It addresses challenges of collecting and making sense of massive amounts of data from various systems and devices across IT, security, and IoT use cases.
3. Splunk provides solutions and services to help customers accelerate their data journey from initial investigation to taking action.
Getting started with Splunk - Break out SessionGeorg Knon
This document provides an overview and getting started guide for Splunk. It discusses what Splunk is for exploring machine data, how to install and start Splunk, add sample data, perform basic searches, create saved searches, alerts and dashboards. It also covers deployment and integration topics like scaling Splunk, distributing searches across data centers, forwarding data to Splunk, and enriching data with lookups. The document recommends resources like the Splunk community for further support.
This document provides an overview of Splunk, including:
- Splunk's main functionality is real-time log collection, indexing, and analytics of time series data through search queries and data exploration/visualization capabilities.
- Reasons to use Splunk include its proven success in the field, flexible and user-friendly interface, and ability to handle large volumes of data from various sources through infinite scaling.
- Splunk uses a MapReduce-based architecture to index and search large volumes of data across multiple servers.
Splunk is a software that captures, indexes, and analyzes machine-generated data in real-time to generate operational intelligence across an organization. It transforms raw data into searchable events that can then be searched, visualized, and used to create reports, alerts, and dashboards. Splunk offers features like searching and investigating data, data modeling and pivoting, visualization and reporting, and monitoring and alerts. It is easy to deploy, load data into, and search and visualize data to gain insights. However, Splunk can be expensive for some organizations.
This document provides an overview of data models in Splunk:
- A data model maps raw machine data onto a hierarchical structure to encapsulate domain knowledge and enable non-technical users to interact with data via pivot reports.
- There are three root object types: events, searches, and transactions. Objects have constraints, attributes, and inherit properties from parent objects.
- Data models are built using the UI or REST API. Pivot reports leverage data models by generating optimized search strings from the model.
- Data model acceleration improves performance of pivot reports by pre-computing searches on disk. Only the first event object and descendants are accelerated by default.
This document provides an overview of Splunk, including how to install Splunk, configure licenses, perform searches, set up alerts and reports, and manage deployments. It discusses indexing data, extracting fields, tagging events, and using the web interface. The goal is to get users started with the basic functions of Splunk like searching, reporting and monitoring.
ntroduced in Splunk 6.2, the Distributed Management Console helps Splunk Admins deal with the monitoring and health of their Splunk deployment. In Splunk 6.3, we built views for Splunk Index and Volume Usage, Forwarder Monitoring, Search Head Cluster Monitoring, Index Cluster Monitoring, and tools for visualizing your Splunk Topology. Leverage Splunk DMC and come see the forest -and- the trees in your Splunk deployment!
Learn from our Security Expert on how to use the Splunk App for Enterprise Security (ES) in a live, hands-on session. We'll take a tour through Splunk's award-winning security offering to understand some of the unique capabilities in the product. Then, we'll use ES to work an incident and disrupt an adversary's Kill Chain by finding the Actions on Intent, Exploitation Methods, and Reconnaissance Tactics used against a simulated organization. Data investigated will include threat list intelligence feeds, endpoint activity logs, e-mail logs, and web access logs. This session is a must for all security experts! Please bring your laptop as this is a hands-on session.
Splunk Enterpise for Information Security Hands-OnSplunk
Splunk is the ultimate tool for the InfoSec hunter. In this unique session, we’ll dive straight into the Splunk search interface, and interact with wire data harvested from various interesting and hostile environments, as well as some web access logs. We’ll show how you can use Splunk Enterprise with a few free Splunk applications to hunt for attack patterns. We’ll also demonstrate some ways to add context to your data in order to reduce false positives and more quickly respond to information. Bring your laptop – you’ll need a web browser to access our demo systems!
Getting Started with Splunk Enterprise - DemoSplunk
Splunk can be used to analyze log data from an online gaming company to help identify issues causing customer complaints. The demo shows how to ingest sample log data, perform searches to find error codes and pages, create alerts, and generate statistics and reports on the data. Dynamic field extraction, pivoting, and over 140 search commands allow transforming and analyzing the data in various ways. Results can be saved as dashboards and applications for ongoing monitoring and insights.
The document provides an overview of Splunk's machine data platform and capabilities for collecting, analyzing, and visualizing machine data from various sources. It discusses Splunk's approaches to machine data including universal indexing and schema-on-the-fly. It also covers Splunk's portfolio including apps, add-ons, and premium solutions. Finally, it discusses various methods for collecting non-traditional data sources such as network inputs, HTTP Event Collector, log event alerts, Splunk Stream, scripted inputs, database inputs, and modular inputs.
Machine Data Workshop 101 provides an overview of Splunk's machine data platform and capabilities. It discusses Splunk's approach to collecting and indexing machine data from both traditional and non-traditional sources. The workshop also covers techniques for data enrichment including tags, field aliases, calculated fields, and lookups to provide additional context to machine data.
Machine-generated data is one of the fastest growing and complex areas of big data. It's also one of the most valuable, containing some of the most important insights: where things went wrong, how to optimize the customer experience, the fingerprints of fraud. Join us as we explore the basics of machine data analysis and highlight techniques to help you turn your organization’s machine data into valuable insights—across IT and the business. This introductory workshop includes a hands-on (bring your laptop) demonstration of Splunk’s technology and covers use cases both inside and outside IT. Learn why more than 13,000 customers in over 110 countries use Splunk to make their organizations more efficient, secure, and profitable.
This document provides an overview and agenda for a Splunk Machine Data Workshop 101 session on data enrichment techniques in Splunk including tags, field aliases, calculated fields, and lookups. It discusses how these features add context and meaning to raw machine data by labeling, normalizing, and augmenting data. Examples are given of creating and applying each enrichment method and searching events with the enriched fields.
Who should attend? Beginner - New to Splunk and have not used it before.
Description: Machine-generated data is one of the fastest growing and complex areas of big data. It's also one of the most valuable, containing a definitive record of all user transactions, customer behavior, machine behavior, security threats, fraudulent activity and more. Join us as we explore the basics of machine data analysis and highlight techniques to help you turn your organization’s machine data into valuable insights. This introductory workshop includes a hands-on(bring your laptop) demonstration of Splunk’s technology and covers use cases both inside and outside IT. Learn why more than 13,000 customers in over 110 countries use Splunk to make business, government, and education more efficient, secure, and profitable.
Machine-generated data is one of the fastest growing and complex areas of big data. It's also one of the most valuable, containing a definitive record of all user transactions, customer behavior, machine behavior, security threats, fraudulent activity and more. Join us as we explore the basics of machine data analysis and highlight techniques to help you turn your organization’s machine data into valuable insights. This introductory workshop includes a hands-on(bring your laptop) demonstration of Splunk’s technology and covers use cases both inside and outside IT. Learn why more than 12,000 customers in over 110 countries use Splunk to make business, government, and education more efficient, secure, and profitable.
Machine Data 101: Turning Data Into Insight is a presentation about using Splunk software to analyze machine data. It discusses topics such as:
- What machine data is and examples of common sources like log files, social media, call center systems
- How Splunk indexes machine data from various sources in real-time regardless of format
- Techniques for enriching data in Splunk like tags, field aliases, calculated fields, event types, and lookups from external data sources
- Examples of collecting non-traditional data sources into Splunk like network data, HTTP events, databases, and mobile app data
The presentation provides an overview of Splunk's machine data platform and techniques for analyzing, enrich
Splunk is an industry-leading platform for machine data that allows users to access, analyze, and take action on data from any source. It uses universal indexing to ingest data in real-time from various sources without needing predefined schemas. This enables search, reporting, and alerting across all machine data. Splunk can scale to handle large volumes and varieties of data, provides a developer platform for customization, and supports both on-premises and cloud deployments.
Splunk Data Onboarding Overview - Splunk Data Collection ArchitectureSplunk
Splunk's Naman Joshi and Jon Harris presented the Splunk Data Onboarding overview at SplunkLive! Sydney. This presentation covers:
1. Splunk Data Collection Architecture 2. Apps and Technology Add-ons
3. Demos / Examples
4. Best Practices
5. Resources and Q&A
This document provides an overview and agenda for a Machine Data 101 presentation. The presentation covers Splunk fundamentals including the Splunk architecture and components, data sources both traditional and non-traditional, data enrichment techniques including tags, field aliases, calculated fields, event types, and lookups. Labs are included to help attendees get hands-on experience with indexing sample data, performing data discovery, and enriching data.
This document provides an overview of Splunk Enterprise, including what it is, how it deploys and integrates, and its capabilities around real-time search, alerting, and reporting. Splunk Enterprise is an industry-leading platform for machine data that allows users to search, monitor, and analyze machine data from any source, location, or volume in real-time or historically. It deploys easily in 4 steps and scales to handle hundreds of terabytes of data per day from diverse sources like servers, applications, sensors, and more.
Reactive to Proactive: Intelligent Troubleshooting and Monitoring with SplunkSplunk
This document outlines an agenda and presentation for a Splunk workshop on reactive to proactive troubleshooting and monitoring. The agenda includes an introduction to Splunk for IT operations, hands-on IT operations exercises, an overview of relevant Splunk apps, an introduction to Splunk IT Service Intelligence, and customer stories. The presentation discusses how Splunk can help transform IT from reactive problem solving to proactive monitoring and operational intelligence. It highlights key Splunk capabilities like searching, monitoring, alerting and visualizing machine data from various sources to improve troubleshooting, uptime, and IT productivity. [/SUMMARY]
SplunkLive! Frankfurt 2018 - Data Onboarding OverviewSplunk
Presented at SplunkLive! Frankfurt 2018:
Splunk Data Collection Architecture
Apps and Technology Add-ons
Demos / Examples
Best Practices
Resources and Q&A
Delivering New Visibility and Analytics for IT OperationsGabrielle Knowles
The document discusses how Splunk provides visibility and analytics for IT operations. It outlines Splunk's ability to ingest data from various sources like applications, databases, networks and more. This gives organizations a universal platform to gain operational visibility, enable proactive monitoring, and obtain business insights from their machine data in real-time. Splunk differentiators include analyzing all data, scaling for large environments, and reducing MTTR, costs and improving user experiences.
The document discusses how Splunk provides visibility and analytics for IT operations. It describes how Splunk can ingest data from various sources like applications, databases, networks, virtualization and more. This gives organizations operational visibility across their infrastructure and enables proactive monitoring, search and investigation capabilities for troubleshooting and problem solving. Splunk offers a universal platform for machine data that can scale to handle large, complex environments.
The document discusses how Splunk provides visibility and analytics for IT operations. It outlines Splunk's ability to ingest data from various sources like applications, databases, networks and more. This gives organizations a universal platform to gain operational visibility, enable proactive monitoring, and power search and investigation across machine data for improved IT operations and business insights.
Latest Updates to Splunk from .conf 2017 Announcements Harry McLaren
Session detailing some of the best announcements from the recent Splunk users conference. Delivered at the Splunk User Group in Edinburgh on October 16, 2017.
Machine Data Is EVERYWHERE: Use It for TestingTechWell
As more applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. First, test that the data is being created. Second, ensure that the entries are correctly formatted and complete. Third, make sure the data can be consumed by your company’s log analysis tools. And fourth, verify that the app will create all possible log entries from the test data that is supplied. Join Tom as he presents demos including free tools. Learn the steps you need to include in your test plans so your team’s apps not only function but also can be monitored and understood from their machine data when running in production.
Microsoft Fabric is the next version of Azure Data Factory, Azure Data Explorer, Azure Synapse Analytics, and Power BI. It brings all of these capabilities together into a single unified analytics platform that goes from the data lake to the business user in a SaaS-like environment. Therefore, the vision of Fabric is to be a one-stop shop for all the analytical needs for every enterprise and one platform for everyone from a citizen developer to a data engineer. Fabric will cover the complete spectrum of services including data movement, data lake, data engineering, data integration and data science, observational analytics, and business intelligence. With Fabric, there is no need to stitch together different services from multiple vendors. Instead, the customer enjoys end-to-end, highly integrated, single offering that is easy to understand, onboard, create and operate.
This is a hugely important new product from Microsoft and I will simplify your understanding of it via a presentation and demo.
Agenda:
What is Microsoft Fabric?
Workspaces and capacities
OneLake
Lakehouse
Data Warehouse
ADF
Power BI / DirectLake
Resources
.conf Go 2023 - Raiffeisen Bank InternationalSplunk
This document discusses standardizing security operations procedures (SOPs) to increase efficiency and automation. It recommends storing SOPs in a code repository for versioning and referencing them in workbooks which are lists of standard tasks to follow for investigations. The goal is to have investigation playbooks in the security orchestration, automation and response (SOAR) tool perform the predefined investigation steps from the workbooks to automate incident response. This helps analysts automate faster without wasting time by having standard, vendor-agnostic procedures.
.conf Go 2023 - Das passende Rezept für die digitale (Security) Revolution zu...Splunk
.conf Go 2023 presentation:
"Das passende Rezept für die digitale (Security) Revolution zur Telematik Infrastruktur 2.0 im Gesundheitswesen?"
Speaker: Stefan Stein -
Teamleiter CERT | gematik GmbH M.Eng. IT-Sicherheit & Forensik,
doctorate student at TH Brandenburg & Universität Dresden
El documento describe la transición de Cellnex de un Centro de Operaciones de Seguridad (SOC) a un Equipo de Respuesta a Incidentes de Seguridad (CSIRT). La transición se debió al crecimiento de Cellnex y la necesidad de automatizar procesos y tareas para mejorar la eficiencia. Cellnex implementó Splunk SIEM y SOAR para automatizar la creación, remediación y cierre de incidentes. Esto permitió al personal concentrarse en tareas estratégicas y mejorar KPIs como tiempos de resolución y correos electrónicos anal
conf go 2023 - El camino hacia la ciberseguridad (ABANCA)Splunk
Este documento resume el recorrido de ABANCA en su camino hacia la ciberseguridad con Splunk, desde la incorporación de perfiles dedicados en 2016 hasta convertirse en un centro de monitorización y respuesta con más de 1TB de ingesta diaria y 350 casos de uso alineados con MITRE ATT&CK. También describe errores cometidos y soluciones implementadas, como la normalización de fuentes y formación de operadores, y los pilares actuales como la automatización, visibilidad y alineación con MITRE ATT&CK. Por último, señala retos
Splunk - BMW connects business and IT with data driven operations SRE and O11ySplunk
BMW is defining the next level of mobility - digital interactions and technology are the backbone to continued success with its customers. Discover how an IT team is tackling the journey of business transformation at scale whilst maintaining (and showing the importance of) business and IT service availability. Learn how BMW introduced frameworks to connect business and IT, using real-time data to mitigate customer impact, as Michael and Mark share their experience in building operations for a resilient future.
The document is a presentation on cyber security trends and Splunk security products from Matthias Maier, Product Marketing Director for Security at Splunk. The presentation covers trends in security operations like the evolution of SOCs, new security roles, and data-centric security approaches. It also provides updates on Splunk's security portfolio including recognition as a leader in SIEM by Gartner and growth in the SIEM market. Maier highlights some breakout sessions from the conference on topics like asset defense, machine learning, and building detections.
Data foundations building success, at city scale – Imperial College LondonSplunk
Universities have more in common with modern cities than traditional places of learning. This mini city needs to empower its citizens to thrive and achieve their ambitions. Operationalising data is key to building critical services; from understanding complex IT estates for smarter decision-making to robust security and a more reliable, resilient student experience. Juan will share his experience in building data foundations for a resilient future whilst enabling digital transformation at Imperial College London.
Splunk: How Vodafone established Operational Analytics in a Hybrid Environmen...Splunk
Learn how Vodafone has provided end-to-end visibility across services by building an Operational Analytics Platform. In this session, you will hear how Stefan and his team manage legacy, on premise, hybrid and public cloud services, and how they are providing a platform for complex triage and debugging to tackle use cases across Vodafone’s extensive ecosystem.
.italo operates an Essential Service by connecting more than 100 million people annually across Italy with its super fast and secure railway. And CISO Enrico Maresca has been on a whirlwind journey of his own.
Formerly a Cyber Security Engineer, Enrico started at .italo as an IT Security Manager. One year later, he was promoted to CISO and tasked with building out – and significantly increasing the maturity level – of the SOC. The result was a huge step forward for .italo.
So how did he successfully achieve this ambitious ask? Join Enrico as he reveals the key insights and lessons learned in his SOC journey, including:
Top challenges faced in improving security posture
Key KPIs implemented in order to measure success
Strategies and approaches applied in the SOC
How MITRE ATT&CK and Splunk Enterprise Security were utilised
Next steps in their maturity journey ahead
This document summarizes a presentation about observability using Splunk. It includes an agenda introducing observability and why Splunk for observability. It discusses the need for modernization initiatives in companies and the thousands of changes required. It presents that Splunk provides end-to-end visibility across metrics, traces and logs to detect, troubleshoot and optimize systems. It shares a customer case study of Accenture using Splunk observability in their hybrid cloud environment. Finally, it concludes that observability with Splunk can drive results like reduced downtime and faster innovation.
This document contains slides from a Splunk presentation covering the following topics:
- Updated Splunk logo and information about meetings in Zurich and sales engineering leads
- Ideas for confused or concerned human figures in design concepts
- Three buckets of challenges around websites slowing, apps being down, and supply chain issues
- Accelerating mean time to detect, identify, respond and resolve through cyber resilience with Splunk
- Unifying security, IT and DevOps teams
- Splunk's technology vision focusing on customer experience, hybrid/edge, unleashing data lakes, and ubiquitous machine learning
- Gaining operational resilience through correlating infrastructure, security, application and user data with business outcomes
This document summarizes a presentation about Splunk's platform. It discusses Splunk's mission of helping customers create value faster with insights from their data. It provides statistics on Splunk's daily ingest and users. It highlights examples of how Splunk has helped customers in areas like internet messaging and convergent services. It also discusses upcoming challenges and new capabilities in Splunk like federated search, flexible indexing, ingest actions, improved data onboarding and management, and increased platform resilience and security.
The document appears to be a presentation from Splunk on security topics. It includes sections on cyber security resilience, the data-centric modern SOC, application monitoring at scale, threat modeling, security monitoring journeys, self-service Splunk infrastructure, the top 3 CISO priorities of risk based alerting, use case development, a security content repository, security PVP (posture, vision, and planning) and maturity assessment, and concludes with an overview of how Splunk can provide end-to-end visibility across an organization.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Introducing BoxLang : A new JVM language for productivity and modularity!Ortus Solutions, Corp
Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
Dynamic. Modular. Productive.
BoxLang redefines development with its dynamic nature, empowering developers to craft expressive and functional code effortlessly. Its modular architecture prioritizes flexibility, allowing for seamless integration into existing ecosystems.
Interoperability at its Core
With 100% interoperability with Java, BoxLang seamlessly bridges the gap between traditional and modern development paradigms, unlocking new possibilities for innovation and collaboration.
Multi-Runtime
From the tiny 2m operating system binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, Web Assembly, Android and more. BoxLang has been designed to enhance and adapt according to it's runnable runtime.
The Fusion of Modernity and Tradition
Experience the fusion of modern features inspired by CFML, Node, Ruby, Kotlin, Java, and Clojure, combined with the familiarity of Java bytecode compilation, making BoxLang a language of choice for forward-thinking developers.
Empowering Transition with Transpiler Support
Transitioning from CFML to BoxLang is seamless with our JIT transpiler, facilitating smooth migration and preserving existing code investments.
Unlocking Creativity with IDE Tools
Unleash your creativity with powerful IDE tools tailored for BoxLang, providing an intuitive development experience and streamlining your workflow. Join us as we embark on a journey to redefine JVM development. Welcome to the era of BoxLang.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Discover the Unseen: Tailored Recommendation of Unwatched ContentScyllaDB
The session shares how JioCinema approaches ""watch discounting."" This capability ensures that if a user watched a certain amount of a show/movie, the platform no longer recommends that particular content to the user. Flawless operation of this feature promotes the discover of new content, improving the overall user experience.
JioCinema is an Indian over-the-top media streaming service owned by Viacom18.
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxSunil Jagani
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211