This document provides an overview of data enrichment techniques in Splunk including tags, field aliases, calculated fields, event types, and lookups. It describes how tags can add context and categorize data, field aliases can simplify searches by normalizing field labels, and lookups can augment data with additional external fields. The document also discusses various data sources that Splunk can index such as network data, HTTP events, alerts, scripts, databases, and modular inputs for custom data collection.
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
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.
SplunkLive! Splunk Enterprise 6.3 - Data On-boardingSplunk
This document discusses Splunk Enterprise 6.3, a platform for machine data that provides breakthrough performance, scale, and total cost of ownership reductions. Key features highlighted include doubling search and indexing speed, increasing capacity by 20-50%, and reducing TCO by over 20%. Advanced analysis and visualization capabilities are improved, along with support for high-volume event collection, enterprise-scale requirements, and development tools. Demo apps showcase custom visualizations and machine learning functionality.
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 discusses how Splunk can help organizations address challenges related to escalating IT complexity. It notes that IT environments have become more complex with disconnected point solutions, over 70% of time spent maintaining rather than innovating, and latency in resolving issues measured in hours or days. Splunk provides a single platform to gather, analyze, and search machine data from various sources in real-time. It allows correlating data across silos for faster problem resolution. The document highlights how Splunk reduced escalations by 90% and mean time to resolution by 67% for one customer. It then discusses how Splunk offers pre-built apps for monitoring different parts of the IT infrastructure and applications.
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 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.
Come and learn from our experts on ways to improve you IT Operational Visibility by using Splunk for monitoring environment health. In this hands-on session we will cover recommended approaches for end to end monitoring, across applications, OSes, and devices. Topics will include: critical services to monitor, use of the Splunk Common Information Model (CIM) for cross-dataset normalization, commonly deployed apps and TAs to gather data for IT infrastructure uses, and use of pre-made dashboard panels to quickly build dashboards for monitoring your environment.
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
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.
SplunkLive! Splunk Enterprise 6.3 - Data On-boardingSplunk
This document discusses Splunk Enterprise 6.3, a platform for machine data that provides breakthrough performance, scale, and total cost of ownership reductions. Key features highlighted include doubling search and indexing speed, increasing capacity by 20-50%, and reducing TCO by over 20%. Advanced analysis and visualization capabilities are improved, along with support for high-volume event collection, enterprise-scale requirements, and development tools. Demo apps showcase custom visualizations and machine learning functionality.
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 discusses how Splunk can help organizations address challenges related to escalating IT complexity. It notes that IT environments have become more complex with disconnected point solutions, over 70% of time spent maintaining rather than innovating, and latency in resolving issues measured in hours or days. Splunk provides a single platform to gather, analyze, and search machine data from various sources in real-time. It allows correlating data across silos for faster problem resolution. The document highlights how Splunk reduced escalations by 90% and mean time to resolution by 67% for one customer. It then discusses how Splunk offers pre-built apps for monitoring different parts of the IT infrastructure and applications.
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 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.
Come and learn from our experts on ways to improve you IT Operational Visibility by using Splunk for monitoring environment health. In this hands-on session we will cover recommended approaches for end to end monitoring, across applications, OSes, and devices. Topics will include: critical services to monitor, use of the Splunk Common Information Model (CIM) for cross-dataset normalization, commonly deployed apps and TAs to gather data for IT infrastructure uses, and use of pre-made dashboard panels to quickly build dashboards for monitoring your environment.
This document provides an overview and introduction to Splunk, an enterprise software platform for searching, monitoring, and analyzing machine-generated big data, such as logs, metrics, and events. The agenda covers what Splunk is, how to get started with Splunk including installing and licensing, basic search functionality, creating alerts and dashboards, deployment and integration options to scale Splunk across multiple sites and systems, and resources for support and the Splunk community. Key capabilities highlighted include searching and analyzing structured and unstructured machine data, indexing petabytes of data per day, role-based access controls, high availability, and integrating with third-party systems.
Splunk for IT Operations Breakout SessionGeorg Knon
This document discusses how IT complexity is a challenge for CIOs due to siloed technologies, disconnected point solutions, and time spent maintaining rather than innovating. It presents Splunk as a solution that provides comprehensive visibility across infrastructure, applications, databases, and more through centralized data collection and analysis. Splunk reduces problem resolution time by 67% and escalations by 90% by enabling "first responders" to search across all IT data from a single interface. The document also outlines how Splunk apps can provide insights by role and technology and its capabilities for various IT functions like virtualization, storage, and operating systems.
This document provides an overview and examples of data onboarding in Splunk. It discusses best practices for indexing data, such as setting the event boundary, date, timestamp, sourcetype and source fields. Examples are given for onboarding complex JSON, simple JSON and complex CSV data. Lessons learned from each example highlight issues like properly configuring settings for nested or multiple timestamp fields. The presentation also introduces Splunk capabilities for collecting machine data beyond logs, such as the HTTP Event Collector, Splunk MINT and the Splunk App for Stream.
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.
Taking Splunk to the Next Level - ArchitectureSplunk
This session led by Michael Donnelly will teach you how to take your Splunk deployment to the next level. Learn about Splunk high availability architectures with Splunk Search Head Clustering and Index Replication. Additionally, learn how to manage your deployment with Splunk’s operational and management controls to manage Splunk capacity and end user experience
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
The document summarizes Splunk Enterprise 6.3, highlighting key new features and capabilities. It discusses breakthrough performance and scale improvements including doubled search and indexing speed and 20-50% increased capacity. It also covers advanced analysis and visualization features like anomaly detection, geospatial mapping, and single-value display. New capabilities for high-volume event collection and an enterprise-scale platform with expanded management, custom alert actions, and data integrity control are also summarized.
Besides seeing the newest features in Splunk Enterprise and learning the best practices for data models and pivot, we will show you how to use a handful of search commands that will solve most search needs. Learn these well and become a ninja.
Splunk Webinar Best Practices für Incident InvestigationGeorg Knon
The document discusses best practices for incident investigation using Splunk, including collecting data from various sources like network traffic, endpoints, user activity, and threat intelligence. Effective investigation requires visibility into who and what communicated on the network, running processes, file system changes, and privileged access on endpoints. The goal is to quickly scope infections and disrupt breaches by understanding attack intent, lateral movement, and exfiltration through correlation of different data sources.
The document summarizes Battelle's use of Splunk for security monitoring and log management. It describes how Splunk replaced three disparate and difficult to manage log systems, providing a single interface for all security logs. Splunk reduced complexity, increased efficiency of the security team, and allowed them to spend more time on security and less on tool management. The security team uses Splunk for central logging, alerts and monitoring, queries and searches, and reporting to share security information.
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.
Attend to learn from our experts about ways to improve you IT Operational Intelligence by using Splunk for troubleshooting, monitoring and service-level visibility. In this hands-on session we will cover recommended approaches for end-to-end troubleshooting and monitoring across applications, OSes, and devices to resolve problems faster, reduce downtime and improve user satisfaction and customer retention. Topics will include: monitoring critical services, using commonly deployed apps and TAs to gather data for IT infrastructure uses, and using of pre-made dashboard panels to quickly build dashboards for monitoring your environment.
SplunkLive! München 2016 - Splunk Enterprise 6.3 - Data OnboardingSplunk
This document discusses new features in Splunk Enterprise 6.3, including breakthrough performance and scale improvements that double search and indexing speed and increase capacity by 20-50%, lowering total cost of ownership by 20%+. It also describes new capabilities for advanced analysis and visualization, high-volume event collection, and an enterprise-scale platform with improved support for DevOps, IoT data analysis, and third-party integrations. A new HTTP Event Collector provides a token-based JSON API for ingesting events from various sources.
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.
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!
Power of Splunk Search Processing Language (SPL)Splunk
The document discusses Splunk's Search Processing Language (SPL) for searching and analyzing machine data. It provides an overview of SPL and its commands, and gives examples of how SPL can be used for tasks like searching, charting, enriching data, identifying anomalies, transactions, and custom commands. The presentation aims to showcase the power and flexibility of SPL for tasks like searching large datasets, visualizing data, combining different data sources, and extending SPL's capabilities through custom commands.
John Villacres works in network automation and tools at Nationwide. He demonstrated Splunk to colleagues in 2012 and they now use it extensively. Splunk has improved their ability to troubleshoot issues by providing timely access to network data through custom dashboards. It has reduced resolution times for problems from days to minutes by integrating data from sources like firewalls, routers, and packet captures. More teams now use Splunk as its efficiency has allowed employees to take on new tasks while maintaining productivity.
Splunk Sales Presentation Imagemaker 2014Urena Nicolas
Splunk provee Inteligencia operativa para todos
Splunk es la plataforma de inteligencia operativa en tiempo real líder del sector. Es una forma fácil, rápida y segura de buscar, analizar y visualizar los grandes flujos de datos de máquina generados por sus sistemas de TI e infraestructura tecnológica (físicos, virtuales y en la nube).
Splunk Enterprise 6 es la versión más reciente y proporciona:
- Análisis potente para todos los usuarios a velocidades sorprendentes
- Experiencia de usuario completamente rediseñada
- Entorno del desarrollador más enriquecido para una ampliación fácil de la plataforma
Splunk Enterprise 6 ya está disponible. Descárguelo ahora y pruébelo usted mismo.
An overview of Splunk Enterprise 6.3. Presented by Splunk's Jim Viegas at GTRI's Splunk Tech Day, December 8, 2015.
Visit http://www.gtri.com/ for more information.
This document provides an overview and agenda for a presentation on getting started with Splunk Enterprise. It discusses what machine data is, how Splunk can extract insights from machine data, and Splunk's scalable deployment architecture. It also demonstrates searches in Splunk and discusses resources for help and support.
Building a Security Information and Event Management platform at Travis Per...Splunk
Faced with a complex, heterogeneous IT infrastructure and a ‘Cloud First’ instruction from the board, Nick Bleech, Head of Information Security at building supplies giant Travis Perkins, used Splunk Enterprise Security running on Splunk Cloud to deliver enhanced security for 27,000 employees.
Splunk allowed Travis Perkins to provide real-time security monitoring, faster incident resolution and improved data governance while delivering demonstrable business value to the board.
In this webinar, Nick Bleech discusses:
● The business and security drivers of deploying a cloud-based security incident and event management solution
● The overall benefits of the Splunk solution
● The project’s critical success factors
● How stakeholders and the overall project were managed
● The positive impact on the deployment on the IT operations and IT security teams
● The next steps in the development of a lightweight security operations centre
Softcat Splunk Discovery Day Manchester, March 2017Splunk
This document provides an agenda for a Splunk conference on March 15th 2017 in Manchester. The agenda includes:
- An introduction and welcome from 09:30-09:45
- Two session from 09:45-12:15 on data-driven IT operations and best practices for security investigations
- A lunch break from 12:30-13:30
- The event concludes at 13:30
This document provides an overview and introduction to Splunk, an enterprise software platform for searching, monitoring, and analyzing machine-generated big data, such as logs, metrics, and events. The agenda covers what Splunk is, how to get started with Splunk including installing and licensing, basic search functionality, creating alerts and dashboards, deployment and integration options to scale Splunk across multiple sites and systems, and resources for support and the Splunk community. Key capabilities highlighted include searching and analyzing structured and unstructured machine data, indexing petabytes of data per day, role-based access controls, high availability, and integrating with third-party systems.
Splunk for IT Operations Breakout SessionGeorg Knon
This document discusses how IT complexity is a challenge for CIOs due to siloed technologies, disconnected point solutions, and time spent maintaining rather than innovating. It presents Splunk as a solution that provides comprehensive visibility across infrastructure, applications, databases, and more through centralized data collection and analysis. Splunk reduces problem resolution time by 67% and escalations by 90% by enabling "first responders" to search across all IT data from a single interface. The document also outlines how Splunk apps can provide insights by role and technology and its capabilities for various IT functions like virtualization, storage, and operating systems.
This document provides an overview and examples of data onboarding in Splunk. It discusses best practices for indexing data, such as setting the event boundary, date, timestamp, sourcetype and source fields. Examples are given for onboarding complex JSON, simple JSON and complex CSV data. Lessons learned from each example highlight issues like properly configuring settings for nested or multiple timestamp fields. The presentation also introduces Splunk capabilities for collecting machine data beyond logs, such as the HTTP Event Collector, Splunk MINT and the Splunk App for Stream.
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.
Taking Splunk to the Next Level - ArchitectureSplunk
This session led by Michael Donnelly will teach you how to take your Splunk deployment to the next level. Learn about Splunk high availability architectures with Splunk Search Head Clustering and Index Replication. Additionally, learn how to manage your deployment with Splunk’s operational and management controls to manage Splunk capacity and end user experience
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
The document summarizes Splunk Enterprise 6.3, highlighting key new features and capabilities. It discusses breakthrough performance and scale improvements including doubled search and indexing speed and 20-50% increased capacity. It also covers advanced analysis and visualization features like anomaly detection, geospatial mapping, and single-value display. New capabilities for high-volume event collection and an enterprise-scale platform with expanded management, custom alert actions, and data integrity control are also summarized.
Besides seeing the newest features in Splunk Enterprise and learning the best practices for data models and pivot, we will show you how to use a handful of search commands that will solve most search needs. Learn these well and become a ninja.
Splunk Webinar Best Practices für Incident InvestigationGeorg Knon
The document discusses best practices for incident investigation using Splunk, including collecting data from various sources like network traffic, endpoints, user activity, and threat intelligence. Effective investigation requires visibility into who and what communicated on the network, running processes, file system changes, and privileged access on endpoints. The goal is to quickly scope infections and disrupt breaches by understanding attack intent, lateral movement, and exfiltration through correlation of different data sources.
The document summarizes Battelle's use of Splunk for security monitoring and log management. It describes how Splunk replaced three disparate and difficult to manage log systems, providing a single interface for all security logs. Splunk reduced complexity, increased efficiency of the security team, and allowed them to spend more time on security and less on tool management. The security team uses Splunk for central logging, alerts and monitoring, queries and searches, and reporting to share security information.
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.
Attend to learn from our experts about ways to improve you IT Operational Intelligence by using Splunk for troubleshooting, monitoring and service-level visibility. In this hands-on session we will cover recommended approaches for end-to-end troubleshooting and monitoring across applications, OSes, and devices to resolve problems faster, reduce downtime and improve user satisfaction and customer retention. Topics will include: monitoring critical services, using commonly deployed apps and TAs to gather data for IT infrastructure uses, and using of pre-made dashboard panels to quickly build dashboards for monitoring your environment.
SplunkLive! München 2016 - Splunk Enterprise 6.3 - Data OnboardingSplunk
This document discusses new features in Splunk Enterprise 6.3, including breakthrough performance and scale improvements that double search and indexing speed and increase capacity by 20-50%, lowering total cost of ownership by 20%+. It also describes new capabilities for advanced analysis and visualization, high-volume event collection, and an enterprise-scale platform with improved support for DevOps, IoT data analysis, and third-party integrations. A new HTTP Event Collector provides a token-based JSON API for ingesting events from various sources.
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.
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!
Power of Splunk Search Processing Language (SPL)Splunk
The document discusses Splunk's Search Processing Language (SPL) for searching and analyzing machine data. It provides an overview of SPL and its commands, and gives examples of how SPL can be used for tasks like searching, charting, enriching data, identifying anomalies, transactions, and custom commands. The presentation aims to showcase the power and flexibility of SPL for tasks like searching large datasets, visualizing data, combining different data sources, and extending SPL's capabilities through custom commands.
John Villacres works in network automation and tools at Nationwide. He demonstrated Splunk to colleagues in 2012 and they now use it extensively. Splunk has improved their ability to troubleshoot issues by providing timely access to network data through custom dashboards. It has reduced resolution times for problems from days to minutes by integrating data from sources like firewalls, routers, and packet captures. More teams now use Splunk as its efficiency has allowed employees to take on new tasks while maintaining productivity.
Splunk Sales Presentation Imagemaker 2014Urena Nicolas
Splunk provee Inteligencia operativa para todos
Splunk es la plataforma de inteligencia operativa en tiempo real líder del sector. Es una forma fácil, rápida y segura de buscar, analizar y visualizar los grandes flujos de datos de máquina generados por sus sistemas de TI e infraestructura tecnológica (físicos, virtuales y en la nube).
Splunk Enterprise 6 es la versión más reciente y proporciona:
- Análisis potente para todos los usuarios a velocidades sorprendentes
- Experiencia de usuario completamente rediseñada
- Entorno del desarrollador más enriquecido para una ampliación fácil de la plataforma
Splunk Enterprise 6 ya está disponible. Descárguelo ahora y pruébelo usted mismo.
An overview of Splunk Enterprise 6.3. Presented by Splunk's Jim Viegas at GTRI's Splunk Tech Day, December 8, 2015.
Visit http://www.gtri.com/ for more information.
This document provides an overview and agenda for a presentation on getting started with Splunk Enterprise. It discusses what machine data is, how Splunk can extract insights from machine data, and Splunk's scalable deployment architecture. It also demonstrates searches in Splunk and discusses resources for help and support.
Building a Security Information and Event Management platform at Travis Per...Splunk
Faced with a complex, heterogeneous IT infrastructure and a ‘Cloud First’ instruction from the board, Nick Bleech, Head of Information Security at building supplies giant Travis Perkins, used Splunk Enterprise Security running on Splunk Cloud to deliver enhanced security for 27,000 employees.
Splunk allowed Travis Perkins to provide real-time security monitoring, faster incident resolution and improved data governance while delivering demonstrable business value to the board.
In this webinar, Nick Bleech discusses:
● The business and security drivers of deploying a cloud-based security incident and event management solution
● The overall benefits of the Splunk solution
● The project’s critical success factors
● How stakeholders and the overall project were managed
● The positive impact on the deployment on the IT operations and IT security teams
● The next steps in the development of a lightweight security operations centre
Softcat Splunk Discovery Day Manchester, March 2017Splunk
This document provides an agenda for a Splunk conference on March 15th 2017 in Manchester. The agenda includes:
- An introduction and welcome from 09:30-09:45
- Two session from 09:45-12:15 on data-driven IT operations and best practices for security investigations
- A lunch break from 12:30-13:30
- The event concludes at 13:30
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.
Wie Sie Ransomware aufspüren und was Sie dagegen machen könnenSplunk
Ransomware ist nicht mehr nur ein auf Privatanwender ausgerichtetes Ärgernis, sondern hat sich zu einer ernstzunehmenden Bedrohung für Unternehmen und Regierungseinrichtungen entwickelt.
In unserem Webinar können Sie mehr darüber herausfinden, was Ransomware genau ist und wie es funktioniert. Anschliessend zeigen wir Ihnen das Ganze in einer Live Demo mit Daten aus einer Windows Ransomware Infektion.
Detailliert zeigen wir Ihnen:
- wie Sie mit Splunk Enterprise Ransomware IOCs "jagen"
- wie Sie Malicious Endpoint Verhalten aufdecken
- Abwehrstrategien
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.
Delivering business value from operational insights at ING BankSplunk
The document discusses how ING Bank uses Splunk to extract business value from operational data. It describes several IT use cases like customer pre-scoring, portfolio management, fraud detection and reducing downtime. It also discusses expanding the use of Splunk beyond IT to business cases like customer journey mapping. The document shares details of ING Bank's Splunk implementation, how it migrated systems to Splunk, and future plans to integrate Hadoop and machine learning.
Building Business Service Intelligence with ITSISplunk
This document provides instructions for setting up access to an online Splunk sandbox for a presentation on building service intelligence with Splunk IT Service Intelligence. It instructs the reader to download a presentation slide deck, sign up for a free online Splunk ITSI sandbox if not already done, test access to the sandbox using recommended browsers, and select the IT Service Intelligence app after logging in.
Splunk Webinar – IT Operations auf den nächsten Level bringenSplunk
Verwertbare Einblicke in Ihre Daten gewinnen und IT Operations auf den nächsten Level bringen
In unserem Webinar zeigen wir Ihnen anhand einer Demo:
- wie Sie Service-Kontext gewinnen, in dem Sie Verhaltens- und Performance-Daten kombinieren.
- wie Sie ein genaues Bild Ihrer Umgebung erhalten, damit Sie Prozesse optimieren können
- wie Sie Kernursachen-Analysen beschleunigen und so Ausfälle auf Kundenseite entgegenwirken können
- wie Sie Incident Investigation priorisieren und die Time-to-Resolution durch Verhaltens- und Event-Analysen verkürzen
- wie Analytics und Machine Learning Service Intelliegence verbessern können
This document provides an overview and sales presentation of Splunk software capabilities. Some key points:
- Splunk is a software platform that allows users to search, monitor and analyze machine-generated data for security and operational intelligence.
- It can index and search data from many different sources like servers, applications, networks and more.
- Splunk offers scalability to handle indexing and searching large volumes of data up to terabytes per day across multiple data centers.
- The software provides features like search and investigation, proactive monitoring, operational visibility and real-time business insights.
Splunk Enterprise for IT Troubleshooting Hands-OnSplunk
This document provides an overview and demo of Splunk Enterprise for IT troubleshooting. It discusses how Splunk can help address the increasing complexity of IT environments by allowing users to index and analyze machine data from any source. The demo walks through searching logs, extracting fields, troubleshooting infrastructure and application issues, creating alerts and reports, and using dashboards. It highlights how Splunk can help accelerate incident resolution, reduce MTTR, and accelerate development cycles.
This document outlines a presentation on threat hunting with Splunk. The presenter is Ken Westin, a security strategist at Splunk with over 20 years of experience in technology and security. The agenda includes an overview of threat hunting basics and data sources, examining the cyber kill chain through a hands-on attack scenario using Splunk, and advanced threat hunting techniques including machine learning. Log-in credentials are provided for access to hands-on demo environments related to the presentation.
SplunkLive! Utrecht - Splunk for Security - Monzy MerzaSplunk
The document discusses transforming security through new approaches like adaptive response, machine learning, and centralized monitoring and command centers. It summarizes new features being added to Splunk Enterprise Security like improved threat detection, user behavior analytics, adaptive response capabilities, and enhanced visual analytics. The presentation highlights how these new Splunk security solutions help optimize security operations centers and augment or replace security information and event management systems.
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.
Splunk is a big data company founded in 2004 that provides a platform for collecting, indexing, and analyzing machine-generated data. It has over 5,000 customers in over 80 countries across various industries. Splunk's software can handle large volumes of machine data, scaling to terabytes per day and thousands of users. It collects and indexes machine data from various sources like logs, metrics, and applications without needing prior knowledge of schemas or custom connectors.
This document provides an overview of Splunk's capabilities for ingesting and analyzing machine data from various sources. It discusses Splunk's support for collecting data from traditional sources like logs, as well as non-traditional sources like network data, databases, and custom scripts. It also describes Splunk's platform for indexing, searching, and visualizing machine data from any source or format in real-time.
This document contains an agenda for the SplunkLive! Utrecht conference. It includes:
- A welcome message and introduction to using Splunk for security and IT operations.
- Three customer use cases that will be presented on using Splunk for the CERT EU, NXP, and KPN.
- Information on sponsors and speakers at the conference.
- An overview of the Splunk platform and how it can be used for security, IT operations, business analytics, IoT, and more.
This document contains a disclaimer stating that any forward-looking statements made during the presentation are based on current expectations and estimates and could differ materially. It also states that the information provided about product roadmaps is for informational purposes only and may change. The document provides an overview of machine learning, including definitions of common machine learning techniques like supervised learning, unsupervised learning, and reinforcement learning. It also describes Splunk's machine learning capabilities, including search commands, the Machine Learning Toolkit, and packaged solutions like Splunk IT Service Intelligence that incorporate machine learning.
Almost all developers face the challenge of reactively debugging failed business transaction processes. Not only does this require extensive navigation of enormous volumes of log data, but determining root cause becomes a laborious and time-consuming task.
Additionally, business managers often request developers and operations to provide analytics on applications, resulting in the tedious task of charting the information, most usually from intangible data. Learn how to capture, extract and analyze your event data by having analytics embedded in the application. Download the white-paper that details how to gain Application Intelligence through effective logging.
Check out the webinar here: http://www.splunk.com/goto/analytics_webcast
This document discusses how Splunk provides operational intelligence through machine data analytics. It highlights how Splunk can help organizations gain visibility into their complex IT operations by indexing data from any source, allowing users to search and investigate that data. The document demonstrates how Splunk can be used to troubleshoot issues, such as identifying servers experiencing high CPU usage or disk space problems. It also shows how to create alerts, reports, and dashboards with Splunk to monitor infrastructure and application health.
Field Extractions: Making Regex Your BuddyMichael Wilde
This presentation was given by Michael Wilde, Splunk Ninja at Splunk's Worldwide User Conference 2011. A demonstration accompanied this presentation. Link is forthcoming.
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.
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.
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 as a_big_data_platform_for_developers_spring_one2gxDamien Dallimore
Splunk is a platform for collecting, analyzing, and visualizing machine data. It provides real-time search and reporting across IT systems and infrastructure. Splunk indexes data from various sources without needing predefined schemas, and scales to handle large volumes of data from thousands of systems. The presentation covers an overview of the Splunk platform and how it can be used by developers, including custom visualizations, the Java SDK, and integrations with Spring applications.
SplunkLive! Getting Started with Splunk EnterpriseSplunk
The document provides an agenda and overview for a Splunk getting started user training workshop. The summary covers the key topics:
- Getting started with Splunk including downloading, installing, and starting Splunk
- Core Splunk functions like searching, field extraction, saved searches, alerts, reporting, dashboards
- Deployment options including universal forwarders, distributed search, and high availability
- Integrations with other systems for data input, user authentication, and data output
- Support resources like the Splunk community, documentation, and technical support
Motadata offers a unified IT monitoring platform that provides network monitoring, log and flow monitoring, and IT service management. It collects and analyzes machine data from various sources to provide visibility into infrastructure performance and identify issues. The platform uses data analytics to detect anomalies and security threats. It also helps automate IT processes like incident, problem, and change management to improve service delivery and reduce ticket volumes. Motadata integrates data from multiple systems onto a single dashboard for a comprehensive view of the IT environment.
Slides for a college course based on "Incident Response & Computer Forensics, Third Edition" by by Jason Luttgens, Matthew Pepe, and Kevin Mandia.
Teacher: Sam Bowne
Twitter: @sambowne
Website: https://samsclass.info/121/121_F16.shtml
How to Get IBM i Security and Operational Insights with SplunkPrecisely
IBM i systems handle some of the most mission-critical transactions in your organization. In the past, they operated in relative isolation, but today they’re connected to other systems across your IT infrastructure to support mission-critical business services. They’re also connected to networks or the Internet, making them vulnerable to cybersecurity threats and incidents.
It’s critical that the operational and security data generated by your IBM i systems is visible in your Splunk platform for enterprise-wide analysis, but it’s difficult to capture it and make it usable for reporting.
View this webinar on-demand to learn how organizations like yours are using Ironstream to forward IBM i log data to Splunk, to gain insight into operations, security and service delivery for the ultimate success of their business. We will cover:
• Key use cases for IBM i log analysis
• Challenges of using IBM i data in Splunk
• How Ironstream and Splunk deliver key insight into IBM i operational health and security in the broader context of your enterprise
Slides for a college course based on "Incident Response & Computer Forensics, Third Edition" by by Jason Luttgens, Matthew Pepe, and Kevin Mandia.
Teacher: Sam Bowne
Twitter: @sambowne
Website: https://samsclass.info/121/121_F16.shtml
Slides for a college course based on "Incident Response & Computer Forensics, Third Edition" by by Jason Luttgens, Matthew Pepe, and Kevin Mandia, at City College San Francisco.
Website: https://samsclass.info/152/152_F18.shtml
This document summarizes a PowerShell presentation given at Bsides Greenville 2019. It provides wireless network credentials, links to PowerShell cheat sheets and demos, and lists the speaker's background and experience with PowerShell. The presentation agenda covers topics like moving around the file system, hashing, data storage, custom event logs, WinRM logging, port scanning, and persistence through profiles.
This document discusses Telco analytics at scale using distributed stream processing. It describes using technologies like Apache Spark Streaming, Kafka, and Hadoop (HDFS, Hive, HBase) to ingest and process large volumes of streaming data from various sources in real-time or near real-time. Example use cases discussed include fraud detection, real-time rating, security information and event management. It also covers strategies for distributed in-memory caching and rule processing to enable low latency analytics at high throughput scales needed for telco data and applications.
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.
This document provides an overview of PowerShell and discusses various techniques for using PowerShell, including: moving around the filesystem and accessing system components; hashing files; storing data in alternate locations like the registry, Active Directory, and event logs; creating custom event logs; enabling remote management (WinRM) and logging; port scanning; and achieving persistence through PowerShell profiles. The speaker is an experienced cybersecurity professional and PowerShell enthusiast who develops tools and teaches classes related to PowerShell.
Getting Started with Splunk Breakout SessionSplunk
This document provides an overview and introduction to Splunk Enterprise. It begins with an agenda that outlines discussing Splunk Enterprise, a live demonstration of using Splunk, deployment architecture, the Splunk community, and a Q&A. It then discusses how Splunk can unlock insights from machine data generated from various sources. The live demo shows installing Splunk, forwarding sample data, and performing searches. It also discusses deploying Splunk at scale, distributed architectures, and support resources available through the Splunk community.
The document discusses designing a network automation system using microservices. It recommends separating tasks into small, loosely coupled services that communicate. Key services include a source database to store configuration and state data, a templating system to generate configurations, tools to access devices and collect data, monitoring systems, and an orchestration system to automate workflows. The design focuses on reusability, avoiding data duplication, and using the right technology for each task.
DOXLON November 2016 - Data Democratization Using SplunkOutlyer
This document discusses data democratization using Splunk. It describes how Splunk can be used to provide universal access to data through delegated access models, standardized data models, and automation. Key points include:
1. Splunk can implement a delegated access model using apps, indexes, and user roles to securely share sensitive data.
2. Standardized data models and semantic logging help combat knowledge fragmentation and enable consistent analysis.
3. Automating data onboarding and validation helps improve adoption by reducing backlogs and ensuring data quality.
This document provides an overview of Splunk Hunk, which allows users to run Splunk analytics on data stored in Hadoop. Some key points:
- Hunk uses "virtual indexes" to make data in Hadoop look and feel like Splunk indexes, allowing seamless use of the Splunk interface and search processing language.
- It supports running Splunk searches either through an interactive "streaming" mode or efficient batch "reporting" mode using MapReduce.
- The indexing and search pipelines apply the same field extraction, event breaking, and other processing as standard Splunk to enable flexible searches.
- A processing library allows plugging in custom data preprocessors when ingesting data into Hunk
.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.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
5. Traditional Data Sources
§ Captures events from log files in real time
§ Runs scripts to gather system metrics, connect
to APIs and databases
§ Listens to syslog and gathers Windows events
§ Universally indexes any data format so it
doesn’t need adapters
5
Windows
• Registry
• Event logs
• File system
• sysinternals
Linux/Unix
• Configurations
• Syslog
• File system
• Ps, iostat, top
Virtualization
• Hypervisor
• Guest OS
• Guest Apps
Applications
• Web logs
• Log4J, JMS, JMX
• .NET events
• Code and scripts
Databases
• Configurations
• Audit/query logs
• Tables
• Schemas
Network
• Configurations
• syslog
• SNMP
• netflow
10. Stream = Better Insights for *
Solution Area Contextual Data Wire Data Enriched View
Application
Management
application logs,
monitoring data,
metrics, events
protocol conversations on
database performance, DNS
lookups, client data, business
transaction paths…
Measure application response
times, deeper insights for root-
cause diagnostics, trace tx
paths, establish baselines…
IT Operations application logs,
monitoring data,
metrics, events
payload data including process
times, errors, transaction
traces, ICA latency, SQL
statements, DNS records…
Analyze traffic volume, speed
and packets to identify
infrastructure performance
issues, capacity constraints,
changes; establish baselines…
10
11. Stream = Better Insights for *
Solution Area Contextual Data Wire Data Enriched View
Security app + infra logs,
monitoring data,
events
protocol identification,
protocol headers, content
and payload information,
flow records
Build analytics and context for
incident response, threat
detection, monitoring and
compliance
Digital
Intelligence
website activity,
clickstream data,
metrics
browser-level customer
interactions
Customer Experience – analyze
website and application bottlenecks to
improve customer experience and
online revenues
Customer Support (online, call center)
– faster root cause analysis and
resolution of customer issues with
website or apps
11
12. Scripted Inputs
12
§ Send data to Splunk via a custom script
§ Splunk indexes anything written to stdout
§ Splunk handles scheduling
§ Supports shell, Python scripts, WIN batch, PowerShell
§ Any other utility that can format and stream data
Streaming Mode
§ Splunk executes script and indexes stdout
§ Checks for any running instances
Write to File Mode
§ Splunk launches script which produces
output file, no need for external scheduler
§ Splunk monitors output file
13. Use Cases for Scripted Inputs
13
§ Alternative to file-base or network-based inputs
§ Stream data from command-line tools, such as vmstat and iostat
§ Poll a web service, API or database and process the results
§ Reformat complex or binary data for easier parsing into events and fields
§ Maintain data sources with slow or resource-intensive startup
procedures
§ Provide special or complex handling for transient or unstable inputs
§ Scripts that manage passwords and credentials
§ Wrapper scripts for command line inputs that contain special characters
15. Configure Database Inputs
15
§ DB Connect App
§ Real-time, scalable integration with relational DBs
§ Browse and navigate schemas and tables before data import
§ Reliable scheduled import
§ Seamless installation and UI configuration
§ Supports connection pooling and caching
§ “Tail” tables or import entire tables
§ Detect and import new/updated rows using timestamps or unique IDs
§ Supports many RDBMS flavors
§ AWS RDS Aurora, AWS RedShift, IBM DB2 for Linux, Informix, MemSQL, MS SQL, MySQL,
Oracle, PostgreSQL, SAP SQL Anywhere (aka Sybase SA), Sybase ASE and IQ, Teradata
18. Modular Inputs
18
§ Create your own custom inputs
§ Scripted input with structure and intelligence
§ First class citizen in the Splunk management interface
§ Appears under Settings > Data Inputs
§ Benefits over simple scripted input
§ Instance control: launch a single or multiple instances
§ Input validation
§ Support multiple platforms
§ Stream data as text or XML
§ Secure access to mod input scripts via REST endpoints
28. Agenda
§ Tags – categorize and add meaning to data
§ Field Aliases – simplify search and correlation
§ Calculated Fields – shortcut complex/repetitive computations
§ Event Types – group common events and share knowledge
§ Lookups – augment data with additional external fields
28
54. § top – limit
§ rare – same options as top
§ timechart – parameters
§ stats – functions (sum, avg, list, values, sparkline)
§ sort – inline ascending or descending
§ addcoltotals
§ addtotals
Doing More with Basic Search Commands
54
55. § Commands have parameters or qualifiers
§ top and rare have similar syntax
§ Each search command has its own syntax – show inline help
Find Most and Least Active Customers
Using the top + rare Commands
... | top limit=20 clientip
... | rare limit=20 clientip
IPs with the
most visits
IPs with the
least visits
56. § Sort inline descending or ascending
56
... | stats count by clientip | sort - count
... | stats count by clientip | sort + count
Number of requests by
customer - descending
Number of requests by
customer - ascending
Sort the Number of Customer Requests
Using the sort Command
57. § Show Search Command Reference Docs
§ Functions for eval + where
§ Functions for stats + chart and timechart
§ Invoke a function
§ Rename inline
57
... | stats sum(bytes) by clientip | sort - sum(bytes)
... | stats sum(bytes) as totalbytes by clientip | sort - totalbytes
Total payload by
customer - descending
Total payload by
customer - ascending
Determine Total Customer Payload
Using functions + rename command
60. § Add columns
§ Sum specific columns
60
... | stats count by clientip, action
2 cols: clientip + action
... | stats sum(bytes) as totalbytes, avg(bytes) as avgbytes,
count as totalevents by clientip | addcoltotals totalbytes,
totalevents
Sum totalbytes and
totalevents colums
Building a Table of Customer Activity
Add Columns and Sum Columns
61. 61
... | stats sum(bytes) as totalbytes, sum(other) as totalother
by clientip | addtotals fieldname=totalstuff
For each row, add
totalbytes + totalother
A better example:
physical memory + virtual memory =
total memory
Building a Table of Customer Activity
Sum Across Rows
62. 62
... | stats sparkline(count) as trendline by clientip
In context of
larger event set
... | stats sparkline(count) as trendline sum(bytes) by clientip
Inline in tables
Trend Individual Customer Activity
Sparklines in Action
63. Advanced Search Commands
Command Short Description Hints
transaction Group events by a common field value. Convenient, but resource intensive.
cluster Cluster similar events together. Can be used on _raw or field.
associate Identifies correlations between fields. Calculates entropy btn field values.
correlate Calculates the correlation between
different fields.
Evaluates relationship of all fields in
a result set.
contingency Builds a contingency table for two fields. Computes co-occurrence, or % two
fields exist in same events.
anomalies Computes an unexpectedness score for
an event.
Computes similarity of event (X) to a
set of previous events (P).
anomalousvalue Finds and summarizes irregular, or
uncommon, search results.
Considers frequency of occurrence
or number of stdev from the mean