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 support.
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.
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.
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 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.
This document provides an overview of Splunk software for security applications. It begins with an agenda for a Splunk security presentation, then discusses challenges facing security teams like advanced threats and limitations of existing security information and event management (SIEM) systems. The document demonstrates how Splunk can collect all types of machine data, perform fast searches and analytics, and be deployed more easily than traditional SIEMs. Use cases shown include incident investigations, compliance reporting, and real-time monitoring of known and unknown threats. The document highlights Splunk's customer base, performance in industry evaluations, and integrations with security vendors. It concludes by inviting the reader to learn more about Splunk on their website or contact sales.
Microsoft Sentinel is a cloud-native security information and event management (SIEM) solution powered by AI and automation. It collects security data from various sources at cloud scale, uses machine learning to analyze the data and detect threats, provides visualizations to investigate incidents and related entities, and enables automating common security tasks and workflows through automation rules and playbooks. This increases security operations efficiency and helps organizations accelerate response to security threats.
The document provides a review and comparison of the QRadar, ArcSight, and Splunk SIEM platforms. It summarizes their key capabilities and components. For each solution, it outlines strengths such as integrated monitoring, analytics features, and scalability. It also notes weaknesses such as complexity, customization limitations, and high data volume licensing costs. The comparison finds QRadar well-suited for smaller deployments, ArcSight for medium-large organizations, and notes Splunk's log collection strengths but limited out-of-the-box correlations compared to competitors. Gartner assessments for each platform cover visibility trends, deployment challenges, and roadmap monitoring advice.
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.
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.
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.
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 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.
This document provides an overview of Splunk software for security applications. It begins with an agenda for a Splunk security presentation, then discusses challenges facing security teams like advanced threats and limitations of existing security information and event management (SIEM) systems. The document demonstrates how Splunk can collect all types of machine data, perform fast searches and analytics, and be deployed more easily than traditional SIEMs. Use cases shown include incident investigations, compliance reporting, and real-time monitoring of known and unknown threats. The document highlights Splunk's customer base, performance in industry evaluations, and integrations with security vendors. It concludes by inviting the reader to learn more about Splunk on their website or contact sales.
Microsoft Sentinel is a cloud-native security information and event management (SIEM) solution powered by AI and automation. It collects security data from various sources at cloud scale, uses machine learning to analyze the data and detect threats, provides visualizations to investigate incidents and related entities, and enables automating common security tasks and workflows through automation rules and playbooks. This increases security operations efficiency and helps organizations accelerate response to security threats.
The document provides a review and comparison of the QRadar, ArcSight, and Splunk SIEM platforms. It summarizes their key capabilities and components. For each solution, it outlines strengths such as integrated monitoring, analytics features, and scalability. It also notes weaknesses such as complexity, customization limitations, and high data volume licensing costs. The comparison finds QRadar well-suited for smaller deployments, ArcSight for medium-large organizations, and notes Splunk's log collection strengths but limited out-of-the-box correlations compared to competitors. Gartner assessments for each platform cover visibility trends, deployment challenges, and roadmap monitoring advice.
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 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.
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.
The document is a presentation on threat hunting with Splunk. It discusses threat hunting basics, data sources for threat hunting, knowing your endpoint, and using the cyber kill chain framework. It outlines an agenda that includes a hands-on walkthrough of an attack scenario using Splunk's core capabilities. It also discusses advanced threat hunting techniques and tools, enterprise security walkthroughs, and applying machine learning and data science to security.
Your adversaries continue to attack and get into companies. You can no longer rely on alerts from point solutions alone to secure your network. To identify and mitigate these advanced threats, analysts must become proactive in identifying not just indicators, but attack patterns and behavior. In this workshop we will walk through a hands-on exercise with a real world attack scenario. The workshop will illustrate how advanced correlations from multiple data sources and machine learning can enhance security analysts capability to detect and quickly mitigate advanced attacks.
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.
Get advice from security gurus on how to get up & running with SIEM quickly and painlessly. You'll learn about log collection, log management, log correlation, integrated data sources and how-to leverage threat intelligence into your SIEM implementation.
Security Incident Event Management
Real time monitoring of Servers, Network Devices.
Correlation of Events
Analysis and reporting of Security Incidents.
Threat Intelligence
Long term storage
SIEM systems provide security event monitoring and log management by collecting security data from across an organization's network and systems. The first SIEM was developed in 1996 and major players today include IBM QRadar, HP ArcSight, and McAfee Nitro. SIEMs aggregate logs from various sources, use correlation engines to identify related security events, and generate alerts when multiple events indicate a higher risk threat. They provide visibility across an organization's security infrastructure and help with compliance, operations, and forensic investigations. SIEM is important for threat detection, compliance, and gaining insights from security event data.
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.
SIEM : Security Information and Event Management SHRIYARAI4
SIEM refers to security information and event management. It collects, aggregates, normalizes, and analyzes log and event data according to preset rules and presents it in a human readable format. This allows IT security teams to filter through large amounts of network traffic and log data to detect threats and ensure compliance. A SIEM system performs functions like collection, aggregation, parsing, normalization, categorization, enrichment, indexing, and storage of log files to facilitate analysis and alert security professionals of suspicious activities.
What is SIEM? A Brilliant Guide to the BasicsSagar Joshi
SIEM is a technological solution that collects and aggregates logs from various data sources, discovers trends, and alerts when it spots anomalous activity, like a possible security threat.
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.
The document lists the executive team of a company and then provides information about SIEM integration, escalation, use cases, and an informational interview. It discusses how SIEM can integrate with various platforms and software to secure them from threats. It also describes how SIEM has escalated to work with different technologies over time and provides security updates. The informational interview covers benefits of SIEM, investment aspects, data storage strategies, analytics techniques, challenges, cloud capabilities, and skills needed for implementation.
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 Splunk lunch and learn session. It discusses what Splunk is, its key capabilities including searching, alerting, and reporting on machine data, and its universal indexing approach. The document also outlines deployment options and includes a demonstration. It explains how Splunk eliminates finger pointing across IT silos by enabling users to search and investigate issues more quickly. It also discusses how Splunk supports proactive monitoring, operational visibility, and real-time business insights.
Video: https://www.youtube.com/watch?v=v69kyU5XMFI
A talk I gave at the Philly Security Shell meetup 2019-02-21 on how the Elastic Stack works and how you can use it for indexing and searching security logs. Tools I mentioned: Github repo with script and demo data - https://github.com/SecHubb/SecShell_Demo Cerebro - https://github.com/lmenezes/cerebro Elastalert - https://github.com/Yelp/elastalert For info on my SANS teaching schedule visit: https://www.sans.org/instructors/john... Twitter: https://twitter.com/SecHubb
This document provides an overview of a presentation on security monitoring and analytics using Splunk. The presentation covers using Splunk Enterprise for security operations like alert management and incident response. It also covers using Splunk User Behavior Analytics to detect anomalies and threats using machine learning. The presentation highlights new features in Splunk Enterprise Security 4.1 like prioritizing investigations and expanded threat intelligence, and new features in Splunk UBA 2.2 like enhanced security analytics and custom threat modeling. It demonstrates integrating UBA results into the Splunk Enterprise Security workflow for faster investigation of advanced threats.
The Next Generation of Security Operations Centre (SOC)PECB
The document discusses the key aspects of building a next generation Security Operations Centre (SOC). It emphasizes that skilled people, well-defined processes, and integrating new technologies are critical. Specifically, it recommends adopting automation and analytics to analyze large datasets, integrating threat intelligence from multiple sources, and establishing red and blue teams to continuously test defenses. The goal of a next generation SOC is to use predictive analysis of vast security data to improve threat detection, response, and the overall security posture of an organization.
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.
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 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, 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.
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.
The document is a presentation on threat hunting with Splunk. It discusses threat hunting basics, data sources for threat hunting, knowing your endpoint, and using the cyber kill chain framework. It outlines an agenda that includes a hands-on walkthrough of an attack scenario using Splunk's core capabilities. It also discusses advanced threat hunting techniques and tools, enterprise security walkthroughs, and applying machine learning and data science to security.
Your adversaries continue to attack and get into companies. You can no longer rely on alerts from point solutions alone to secure your network. To identify and mitigate these advanced threats, analysts must become proactive in identifying not just indicators, but attack patterns and behavior. In this workshop we will walk through a hands-on exercise with a real world attack scenario. The workshop will illustrate how advanced correlations from multiple data sources and machine learning can enhance security analysts capability to detect and quickly mitigate advanced attacks.
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.
Get advice from security gurus on how to get up & running with SIEM quickly and painlessly. You'll learn about log collection, log management, log correlation, integrated data sources and how-to leverage threat intelligence into your SIEM implementation.
Security Incident Event Management
Real time monitoring of Servers, Network Devices.
Correlation of Events
Analysis and reporting of Security Incidents.
Threat Intelligence
Long term storage
SIEM systems provide security event monitoring and log management by collecting security data from across an organization's network and systems. The first SIEM was developed in 1996 and major players today include IBM QRadar, HP ArcSight, and McAfee Nitro. SIEMs aggregate logs from various sources, use correlation engines to identify related security events, and generate alerts when multiple events indicate a higher risk threat. They provide visibility across an organization's security infrastructure and help with compliance, operations, and forensic investigations. SIEM is important for threat detection, compliance, and gaining insights from security event data.
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.
SIEM : Security Information and Event Management SHRIYARAI4
SIEM refers to security information and event management. It collects, aggregates, normalizes, and analyzes log and event data according to preset rules and presents it in a human readable format. This allows IT security teams to filter through large amounts of network traffic and log data to detect threats and ensure compliance. A SIEM system performs functions like collection, aggregation, parsing, normalization, categorization, enrichment, indexing, and storage of log files to facilitate analysis and alert security professionals of suspicious activities.
What is SIEM? A Brilliant Guide to the BasicsSagar Joshi
SIEM is a technological solution that collects and aggregates logs from various data sources, discovers trends, and alerts when it spots anomalous activity, like a possible security threat.
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.
The document lists the executive team of a company and then provides information about SIEM integration, escalation, use cases, and an informational interview. It discusses how SIEM can integrate with various platforms and software to secure them from threats. It also describes how SIEM has escalated to work with different technologies over time and provides security updates. The informational interview covers benefits of SIEM, investment aspects, data storage strategies, analytics techniques, challenges, cloud capabilities, and skills needed for implementation.
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 Splunk lunch and learn session. It discusses what Splunk is, its key capabilities including searching, alerting, and reporting on machine data, and its universal indexing approach. The document also outlines deployment options and includes a demonstration. It explains how Splunk eliminates finger pointing across IT silos by enabling users to search and investigate issues more quickly. It also discusses how Splunk supports proactive monitoring, operational visibility, and real-time business insights.
Video: https://www.youtube.com/watch?v=v69kyU5XMFI
A talk I gave at the Philly Security Shell meetup 2019-02-21 on how the Elastic Stack works and how you can use it for indexing and searching security logs. Tools I mentioned: Github repo with script and demo data - https://github.com/SecHubb/SecShell_Demo Cerebro - https://github.com/lmenezes/cerebro Elastalert - https://github.com/Yelp/elastalert For info on my SANS teaching schedule visit: https://www.sans.org/instructors/john... Twitter: https://twitter.com/SecHubb
This document provides an overview of a presentation on security monitoring and analytics using Splunk. The presentation covers using Splunk Enterprise for security operations like alert management and incident response. It also covers using Splunk User Behavior Analytics to detect anomalies and threats using machine learning. The presentation highlights new features in Splunk Enterprise Security 4.1 like prioritizing investigations and expanded threat intelligence, and new features in Splunk UBA 2.2 like enhanced security analytics and custom threat modeling. It demonstrates integrating UBA results into the Splunk Enterprise Security workflow for faster investigation of advanced threats.
The Next Generation of Security Operations Centre (SOC)PECB
The document discusses the key aspects of building a next generation Security Operations Centre (SOC). It emphasizes that skilled people, well-defined processes, and integrating new technologies are critical. Specifically, it recommends adopting automation and analytics to analyze large datasets, integrating threat intelligence from multiple sources, and establishing red and blue teams to continuously test defenses. The goal of a next generation SOC is to use predictive analysis of vast security data to improve threat detection, response, and the overall security posture of an organization.
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.
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 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.
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
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.
Getting Started with Splunk Break out SessionGeorg Knon
This document provides an agenda and overview for a Splunk getting started user training workshop. The agenda includes introductions to getting started with Splunk, searching, alerts, dashboards, deployment and integration, the Splunk community, and a question and answer session. It also provides information on installing Splunk, Splunk licenses, the Splunk web interface, search basics, saved searches and alerts, deployment and integration options like forwarding data to Splunk, and where to find support resources.
This document provides an agenda for a Splunk technical workshop on getting started with Splunk. The agenda covers installing and starting Splunk, indexing sample data, performing basic searches, creating alerts, building reports and dashboards. It also discusses Splunk deployment and integration topics like distributed search, high availability, licensing, and integrating external user directories.
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
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 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.
Three case studies deploying cluster analysisGreg Makowski
Three case studies are discussed, that include cluster analysis as a component.
1) Customer description for a credit card attrition model, to describe how to talk to customers.
2) Hotel price optimization. Use clusters to find subsets of similar behavior, and optimize prices within each cluster. Use a neural net as the objective function.
3) Retail supply chain, planning replenishment using 52 week demand curves using thousands of seasonal "profiles" or clusters.
This document provides an overview of Hadoop architecture and the Hadoop Distributed File System (HDFS). It discusses Hadoop core components like HDFS, YARN and MapReduce. It also covers HDFS architecture with the NameNode and DataNodes. Additionally, it explains Hadoop configuration files, modes of operation, commands and daemons.
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
K-Means, its Variants and its ApplicationsVarad Meru
This presentation was given by our project group at the Lead College competition at Shivaji University. Our project got the 1st Prize. We focused mainly on Rough K-Means and build a Social-Network-Recommender System based on Rough K-Means.
The Members of the Project group were -
Mansi Kulkarni,
Nikhil Ingole,
Prasad Mohite,
Varad Meru
Vishal Bhavsar.
Wonderful Experience !!!
MapReduce Tutorial | What is MapReduce | Hadoop MapReduce Tutorial | EdurekaEdureka!
The document discusses Hadoop MapReduce and YARN. It provides an overview of MapReduce concepts like parallel processing and data locality. An example of vote counting is used to illustrate the MapReduce approach. Key components of MapReduce like Map, Reduce, and YARN are explained. The YARN application workflow is described through 8 steps from client submission to application completion. Hands-on MapReduce programming and learning resources are also mentioned.
Complete Online PMP Study Training Material for PMP Exam Provided Free for PM...GlobalSkillup
Online PMP Training Study Material with Complete Slide Deck from GlobalSkillup for PMI PMP (Project Management Professional) towards PMP Exam Preparation.
This Study material also covers Project management defined by PMBOK 5th Edition by Project Management Institute (PMI). Provided by GlobalSkillup.com towards PMP Certification Exam.
Big Data Career Path | Big Data Learning Path | Hadoop Tutorial | EdurekaEdureka!
This Hadoop tutorial on Big Data Career Path and Learning Path ( Why Big Data Career blog: https://goo.gl/Hx1hbk ) will tell you why Big Data analytics is the best career move. Learn about various job roles, salary trends and learning paths in Big Data domain. Below are the topics covered in this Big Data Career Path and Learning Path Tutorial:
1) Big Data Domains
2) Big Data Job Roles and Trends
3) Big Data Salary Trends
4) Big Data Career Path
5) Big Data Learning Path
6) Edureka Big Data Certification Courses
Subscribe to our channel to get video updates. Hit the subscribe button above.
Check our complete Hadoop playlist here: https://goo.gl/4OyoTW
#BigDataCareer #HadoopCareer #BigDataLearningPath
45min talk given at LondonR March 2014 Meetup.
The presentation describes how one might go about an insights-driven data science project using the R language and packages, using an open source dataset.
This document discusses transaction processing and control in Informatica PowerCenter. It explains that a transaction is a set of operations that either all succeed or all fail together to maintain data integrity. It then covers transaction control in PowerCenter, including different commit types (source-based, target-based, user-defined), transaction control transformations, and related session properties. The document concludes with an overview of hands-on exercises for configuring commit points and learning mapping tips and tricks.
Hadoop Ecosystem | Big Data Analytics Tools | Hadoop Tutorial | Edureka Edureka!
This Edureka Hadoop Ecosystem Tutorial (Hadoop Ecosystem blog: https://goo.gl/EbuBGM) will help you understand about a set of tools and services which together form a Hadoop Ecosystem. Below are the topics covered in this Hadoop Ecosystem Tutorial:
Hadoop Ecosystem:
1. HDFS - Hadoop Distributed File System
2. YARN - Yet Another Resource Negotiator
3. MapReduce - Data processing using programming
4. Spark - In-memory Data Processing
5. Pig, Hive - Data Processing Services using Query
6. HBase - NoSQL Database
7. Mahout, Spark MLlib - Machine Learning
8. Apache Drill - SQL on Hadoop
9. Zookeeper - Managing Cluster
10. Oozie - Job Scheduling
11. Flume, Sqoop - Data Ingesting Services
12. Solr & Lucene - Searching & Indexing
13. Ambari - Provision, Monitor and Maintain Cluster
Introducing the first ever Wiley - GreyCampus training program on the Project Management Professional (PMP) Certification from project management Institute (PMI) USA as per the new PMBoK 5. Spread over 4-days’ Classroom Training and 90-days’ eLearning, this program provides a complete learning package to crack the PMP Certification Exam in one shot! The eLearning content for this program is based on Internationally Renowned PMP preparation content by author Kim Heldman, and incorporates multiple learning tools to help you learn more and at your convenience. Participants also get a pre-approved 35-PDU certificate on completion of the eLearning and Classroom sessions which is mandatory to appear for the PMP Certification Exam.
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.
SplunkLive! Zürich 2014 Beginner Workshop: Getting started with SplunkGeorg Knon
The document is an agenda for a Splunk technical workshop on getting started with Splunk user training. The agenda covers installing and starting Splunk, performing searches, creating alerts and dashboards, deployment and integration functionality, and getting support through the Splunk community.
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
This document outlines an agenda for a Splunk getting started user training workshop. The agenda includes introducing Splunk functionality like search, alerts, dashboards, deployment and integration. It also covers installing Splunk, indexing data, search basics, field extraction, saved searches, alerting and reporting dashboards. The workshop aims to help users get started with the core Splunk features.
Getting started with Splunk Breakout SessionSplunk
This document provides a summary of a presentation about Splunk. It discusses what Splunk is and how it works, including that Splunk is a platform for searching, monitoring, and analyzing machine-generated big data in real-time. It also covers key Splunk concepts like indexing, searching, reporting, alerting, and deployment options. The presentation demonstrates how to install Splunk, add sample data, perform searches, extract fields, create alerts and dashboards, and discusses integration, support resources, and the Splunk developer platform.
This document provides an agenda and overview for a Splunk getting started user training workshop. The agenda covers getting started with Splunk, searching, alerts, dashboards, deployment and integration, the Splunk community, and getting help. It also provides explanations and examples of key Splunk concepts like searching, fields, saved searches, alerts, reports, dashboards, deployment options, and support resources. The goal is to introduce users to the essential functionality and capabilities of the Splunk platform.
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.
Sumo Logic QuickStart Webinar - Jan 2016Sumo Logic
QuickStart your Sumo Logic service with this exclusive webinar. At these monthly live events you will learn how to capitalize on critical capabilities that can amplify your log analytics and monitoring experience while providing you with meaningful business and IT insights
Getting Started with Splunk Breakout SessionSplunk
This document provides an overview and agenda for a presentation on getting started with Splunk Enterprise. The presentation covers an overview of Splunk Inc. and the Splunk platform, a live demonstration of using Splunk to install, index, search, create reports and dashboards, and set alerts. It also discusses deploying Splunk in distributed architectures, the Splunk community resources, and support options. The goal is to help attendees understand how to use the key capabilities of Splunk Enterprise.
This document summarizes key learnings from a presentation about SharePoint 2013 and Enterprise Search. It discusses how to run a successful search project through planning, development, testing and deployment. It also covers infrastructure needs and capacity testing findings. Additionally, it provides examples of how to customize the user experience through display templates and Front search. Methods for crawling thousands of file shares and enriching indexed content are presented. The document concludes with discussions on relevancy, managing property weighting, changing ranking models, and tuning search results.
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.
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.
This document outlines an agenda for an advanced Splunk user training workshop. The workshop covers topics like field aliasing, common information models, event types, tags, dashboard customization, index replication for high availability, report acceleration, and lookups. It provides overviews and examples for each topic and directs attendees to additional documentation resources for more in-depth learning. The workshop also includes demonstrations of dashboard customization techniques and discusses support options through the Splunk community.
Search engines, and Apache Solr in particular, are quickly shifting the focus away from “big data” systems storing massive amounts of raw (but largely unharnessed) content, to “smart data” systems where the most relevant and actionable content is quickly surfaced instead. Apache Solr is the blazing-fast and fault-tolerant distributed search engine leveraged by 90% of Fortune 500 companies. As a community-driven open source project, Solr brings in diverse contributions from many of the top companies in the world, particularly those for whom returning the most relevant results is mission critical.
Out of the box, Solr includes advanced capabilities like learning to rank (machine-learned ranking), graph queries and distributed graph traversals, job scheduling for processing batch and streaming data workloads, the ability to build and deploy machine learning models, and a wide variety of query parsers and functions allowing you to very easily build highly relevant and domain-specific semantic search, recommendations, or personalized search experiences. These days, Solr even enables you to run SQL queries directly against it, mixing and matching the full power of Solr’s free-text, geospatial, and other search capabilities with the a prominent query language already known by most developers (and which many external systems can use to query Solr directly).
Due to the community-oriented nature of Solr, the ecosystem of capabilities also spans well beyond just the core project. In this talk, we’ll also cover several other projects within the larger Apache Lucene/Solr ecosystem that further enhance Solr’s smart data capabilities: bi-directional integration of Apache Spark and Solr’s capabilities, large-scale entity extraction, semantic knowledge graphs for discovering, traversing, and scoring meaningful relationships within your data, auto-generation of domain-specific ontologies, running SPARQL queries against Solr on RDF triples, probabilistic identification of key phrases within a query or document, conceptual search leveraging Word2Vec, and even Lucidworks’ own Fusion project which extends Solr to provide an enterprise-ready smart data platform out of the box.
We’ll dive into how all of these capabilities can fit within your data science toolbox, and you’ll come away with a really good feel for how to build highly relevant “smart data” applications leveraging these key technologies.
QuickStart your Sumo Logic service with this exclusive webinar. At these monthly live events you will learn how to capitalize on critical capabilities that can amplify your log analytics and monitoring experience while providing you with meaningful business and IT insights.
Live Webinar is found here: https://youtu.be/Q1yWlInxWVs
What is Splunk? At the end of this session you’ll have a high-level 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 see practical examples that differentiate Splunk while demonstrating how to gain quick time to value.
QuickStart your Sumo Logic service with this exclusive webinar. At these monthly live events you will learn how to capitalize on critical capabilities that can amplify your log analytics and monitoring experience while providing you with meaningful business and IT insights.
What is Splunk? At the end of this session you’ll have a high-level 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 see practical examples that differentiate Splunk while demonstrating how to gain quick time to value.
What is Splunk? At the end of this session you’ll have a high-level 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 see practical examples that differentiate Splunk while demonstrating how to gain quick time to value.
QuickStart your Sumo Logic service with this exclusive webinar. At these monthly live events you will learn how to capitalize on critical capabilities that can amplify your log analytics and monitoring experience while providing you with meaningful business and IT insights.
More info: sumologic.com/training
.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.
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.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
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.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
4. What Does Machine Data Look Like?
4
Sources
Order Processing
Twitter
Care IVR
Middleware
Error
5. Customer ID Order ID
Customer’s Tweet
Time Waiting On Hold
Twitter ID
Product ID
Company’s Twitter ID
Customer IDOrder ID
Customer ID
Sources
Order Processing
Twitter
Care IVR
Middleware
Error
Machine Data Contains Critical Insights
6. Machine Data Contains Critical Insights
Order ID
Customer’s Tweet
Time Waiting On Hold
Product ID
Company’s Twitter ID
Order ID
Customer ID
Twitter ID
Customer ID
Customer ID
Sources
Order Processing
Twitter
Care IVR
Middleware
Error
8. Turning Machine Data Into Business Value
Index Untapped Data: Any Source, Type, Volume
Online
Services Web
Services
Servers
Security GPS
Location
Storage
Desktops
Networks
Packaged
Applications
Custom
ApplicationsMessaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call Detail
Records
Smartphones
and Devices
RFID
On-
Premises
Private
Cloud
Public
Cloud
Ask Any Question
Application Delivery
Security, Compliance
and Fraud
IT Operations
Business Analytics
Industrial Data and
the Internet of Things
9. Install Splunk
Start Splunk
• WIN: Program FilesSplunkbinsplunk.exe start (services start)
• *NIX: /opt/splunk/bin/splunk start
www.splunk.com/download
• 32 or 64 Bit?
• Indexer or Universal Forwarder?
11. Splunk Licenses
Free Download Limits Indexing to 500MB/day
• Enterprise Trial License expires after 60 days
• Reverts to Free License
Features Disabled in Free License
• Multiple user accounts and role-based access controls
• Distributed search
• Forwarding to non-Splunk Instances
• Deployment management
• Scheduled saved searches and alerting
• Summary indexing
Other License Types
• Enterprise, Forwarder, Trial
12. Default installation on: http://localhost:8000
Splunk Web Basics
Browser Support
• Internet Explorer 9, 10 and 11
• Firefox (latest)
• Safari (latest)
• Chrome (latest)
13. Splunk Web Basics continued…
Splunk Home
• Provides Interactive portal to the Apps & data.
• Explore Splunk Enterprise:
1 – Product Tours 2 – Add Data
3 – Splunk Apps 4 – Splunk Docs
Splunk Apps
• Default Search & Reporting App
• Provide different contexts for your data out of
sets of views, dashboards, and configurations
• You can create your own!
14. Optional: add some test data
Download the sample file, follow this link and save the file to your
desktop, then unzip: http://www.splunkbook.com (Using Splunk Book)
To add the file to Splunk:
– From the Welcome screen, click Add Data.
– Click From files and directories on the bottom half of the screen.
– Select Skip preview.
– Click the radio button next to Upload and index a file.
– Click Save.
16. current view
global stats
app navigation time range
picker
Selecting Data
Summary:
• Host
• Source
• Sourcetype
start
search
search box
17. Searching
Search > *
Select Time Range
• Historical, custom, or real-time
Select Mode
• Smart, Fast, Verbose
Using the timeline
• Click events and zoom in and out
• Click and drag over events for a specific range
18. Everything is searchable
Everything is searchable
• * wildcards supported
• Search terms are case insensitive
• Booleans AND, OR, NOT
– Booleans must be uppercase
– Implied AND between terms
– Use () for complex searches
• Quote phrases
fail*
fail* nfs
error OR 404
error OR failed OR (sourcetype=access_*(500 OR 503))
"login failure"
20. Search Assistant
Contextual Help
- advanced type-ahead
History
- search
- commands
Search Reference
- short/long description
- examples
suggests search terms
updates as you type
shows examples and help
toggle off / on
21. Searches can be managed as
asynchronous processes
Jobs can be
• Scheduled
• Moved to background tasks
• Paused, stopped, resumed, finalized
• Managed
• Archived
• Cancelled
Job Management
Modify Job Settings
pause
finalize
delete
22. Search Commands
Search > error | head 1
Search results are “piped” to the command
Commands for:
• Manipulating fields
• Formatting
• Handling results
• Reporting
25. Fields
Default fields
• host, source, sourcetype, linecount, etc.
• View on left panel in search results or all in field picker
Where do fields come from?
• Pre-defined by sourcetypes
• Automatically extracted key-value pairs
• User defined
26. Sources, Sourcetypes, Hosts
• Host
- hostname, IP address,
or name of the network
host from which the
events originated
• Source
- the name of the file,
stream, or other input
• Sourcetype
- a specific data type or
data format
27. Extract Fields
Interactive Field Extractor
• Regular Expression or
Delimeteres
• Creates Regular Expression
for you!
• preview/validate
28. Extract Fields
Interactive Field Extractor
props.conf
[mysourcetype]
REPORT-myclass = myFields
transforms.conf
[myFields]
REGEX = ^(w+)s
FORMAT = myFieldLabel::$1
Configuration File
• manual field extraction
• delim-based extractions
Rex Search Command
... | rex field=_raw "From: (?<from>.*)
To: (?<to>.*)"
29. Tagging and Event Typing
Eventtypes for more human-readable reports
• to categorize and make sense of mountains of data
• punctuation helps find events with similar patterns
Search > eventtype=failed_login instead of
Search > “failed login” OR “FAILED LOGIN” OR “Authentication failure” OR “Failed to
………………authenticate user”
Tags are labels
• apply ad-hoc knowledge
• create logical divisions or groups
• tag hosts, sources, fields, even eventtypes
Search > tag=web_servers instead of
Search > host=“apache1.splunk.com” OR host=“apache2.splunk.com” OR
…………….host=“apache3.splunk.com”
33. Alerting Continued…
Searches run on a schedule and fire an alert
• Example: Run a search for “Failed password” every 15 min
over the last 15 min and alert if the number of events is
greater than 10
Searches are running in real-time and fire an alert
• Example: Run a search for “Failed password user=john.doe” in
a 1 minute window and alert if an event is found
34. Alerting Actions
• Send email
• Execute a script
• Webhook
• Create your own
custom Alert Action!
36. Reporting
results of any search
Define your Search and set your time range,
accelerate you search and more
Choose the type of chart (line, area, column, etc) and
other formatting options
Build reports from
37. Reporting Examples
• Use wizard or reporting commands (timechart, top, etc)
• Build real-time reports with real-time searches
• Save reports for use on dashboards
40. Manager Settings
For All of that Cool Stuff
You Just Created (and more!)
• Permissions
• Saved Searches/Reports
• Custom Views
• Distributed Splunk
• Deployment Server
• License Usage….
42. Splunk Has Four Primary Functions
Searching and Reporting (Search Head)
Indexing and Search Services (Indexer)
Data Collection and Forwarding (Forwarder)
Distributed Management (Deployment Server)
Data Governor (Cluster Master)
Databases
Networks
Servers
Virtual
Machines
Smart
phones
and
Devices
Custom
Applications
Security
WebServer
Sensors
A Splunk install can be one or all roles…
44. Scales to Hundreds of TBs/Day
Enterprise-Class Scale, Resilience and Interoperability
Send data from thousands of servers using any combination of Splunk Forwarders
Auto load-balanced forwarding to Splunk Indexers
Offload search load to Splunk Search Heads
45. Visibility Across Datacenters
Distributed search unifies the view
across locations
Role-based access controls how far a given
user's search will span
New York Tokyo
London Cloud
46. Delivers Mission-Critical Availability
• Data replication – maintain
searchability even if servers
go down
• Multi-site capable –
maintain searchability even
if a site goes down
• Search Affinity – optimized
searches by fetching from
the closest/fastest location
REPLICATION
Portland
Datacenter
New York
Datacenter
Clustering
47. Forwards Events to Third-Party Systems
Problem Investigation
Service Desk
Event Console
SIEM
RAW
Formatted
48. Enrich Raw Data to Make It More Meaningful
Create additional fields from
the raw data with a lookup to
an external data source
LDAP,
AD
Watch
Lists
CRM/ERP
CMDB
External Data Sources
Insight comes out
Data goes in
49. Integrate Users and Roles
Problem Investigation Problem Investigation Problem Investigation
Save
Searches
Share
Searches
LDAP, AD
Users and Groups
Splunk Flexible Roles
Manage
Users
Manage
Indexes
Capabilities& Filters
NOT
tag=PCI
App=ERP
…
Map LDAP & AD groups to flexible Splunk roles. Define any search as a filter.
Integrate authentication with LDAP and Active Directory.
50. FrozenWARM COLDHOT
Index
How the Data is Stored and Aged
Hot – Newest buckets of data that are still open for write
Warm – Recent data but closed for writing (read only)
Cold – Oldest data, commonly on cheaper, slower storage
Frozen – No longer searchable, commonly archived or deleted data
52. Support Through the Splunk Community
Browse and share Apps from
Splunk, Partners and the
Community
splunkbase.com
Community-driven
knowledge exchange and
Q&A
answers.splunk.com
Splunk Docs
docs.splunk.com
Welcome to SplunkLive [City].
Thank you for taking the time to attend today’s event.
The goal of today is to share ideas on how you can use machine-generated data to:
Stop the time-consuming cycles of data gathering, investigations and analysis based on the old model of doing things. And perhaps reclaim some personal time.
You’ll see our products and apps live, and hear amazing stories from our customers.
We have three excellent customer speakers who will take you through ‘why and how’ they are using Splunk, tips, best practices and the impact it’s having on them personally and their organization. [CUSTOMER NAMES]
For those of you who are more ‘hands on’ – we have afternoon sessions that help accelerate your practical understanding of Splunk. [DETAILS].
We have one break in the morning, lunch and then a drinks reception at [TIME] – all fantastic networking opportunities with your peers and with us.
You may ask yourself, what the heck is Splunk and why are we called that? Our name came from the idea that digging through machine data , which is what we do, can be a lot like Spelunking .
How can you leverage Splunk?
Follow along if you like!
See full list of supported platforms in Installation Manual.
Can choose different directory during installation.
Good analogy for Apps is iPhone/iPad. Same data, many uses. Apps change the presentation layer.
Illustrate add data, illustrate creating a new index, illustrate the *nix app to show performance metrics.
Also, new splunk overview app that ships with test data for DM and Pivot etc,
How can you leverage Splunk?
1. Wildcards are supported - *
2. Search terms are case insensitive.
3. Boolean searches are supported with AND, OR, NOT. Just remember that Booleans must be uppercase.
4. There is an implied AND between the search terms, and for complex searches, use parenthesis. (error OR failed)
5. You can also quote phrases such as “Login Failure”
6. Search Modes!
1. Wildcards are supported - *
2. Search terms are case insensitive.
3. Boolean searches are supported with AND, OR, NOT. Just remember that Booleans must be uppercase.
4. There is an implied AND between the search terms, and for complex searches, use parenthesis. (error OR failed)
5. You can also quote phrases such as “Login Failure”
6. Search Modes!
This is an example of a search by host excluding events with an error log level
The search assistant offers quick reference for the Splunk search language that updates as you type. That includes links to online documentation, and shows matching searches along with their count, matching terms and examples.
It also shows you your history of searches.
A search becomes a job for Splunk to process. While a search is processing, this job can be Canceled, Paused, sent to the background and Finalized.
The ability to cancel is handy if you made a mistake or chose the wrong time range.
Finalized = stop processing events but build the "number of events" count. Jobs can be accessed while running or after through the jobs menu. There, Paused Jobs can be resumed and those sent to the background can be accessed. Jobs results are kept for a configurable time of 10 minutes by default.
Splunk search language is very unix-like—use the pipe symbol to pass search results to search commands. Search commands can be chained. You can even create your own custom search commands.
These are common commands we find most useful to analyze and filter data. <review each command>
Search reference is available online in addition to the search assistance and covers all search commands.
Much like *nix* operating systems, chances are you’re not going to memorize all of the commands. You’ll memorize a handful, and rely on the “man pages” to get additional context to commands. We SEs here at Splunk use maybe twenty terms in our day to day.
How can you leverage Splunk?
Fields give you much more precision in searches. Fields are key value pairs associated with your data by Splunk. So, an example would be host=www1, status=503. Now there are two specific types of fields. There are default fields, (source, sourcetype and host) which are added to every event by Splunk during indexing.
And there are data-specific fields. These would be action=“purchase” or status=“503”.
What’s the difference between Sources, sourcetypes, and hosts?
A host would be the hostname, IP address or name of the network host from which events originate. An example might be a single windows server would be a host or specific firewall.
A Source is the name of a file, a stream or some other input, such as a config file, process, application or event log, on a server. So per our Windows server example, sources on that server, might include Windows event logs, exchange logs, DNS/DHCP logs, performance metrics as well as the windows event logs from the windows event viewer. Each of these is a different source.
A Sourcetype is a specific data format. Sourcetype would beALL exchange logs or ALL Cisco ASA. It’s a high level group. Running your searches against a sourcetype of Windows Event Log Security across multiple servers.
Extracting fields that aren’t already pulled out at search time is a necessary step to doing more with your data like reporting.
Show example of field extraction with IFX and an example using rex.
Show other field extractor.
Extracting fields that aren’t already pulled out at search time is a necessary step to doing more with your data like reporting.
Show example of field extraction with IFX and an example using rex.
Show other field extractor.
Event types can help you automatically identify events based on a search. An event type is a field based on a search, it’s a way of classifying data for searching and reporting and it’s useful for user knowledge capture and sharing.
Tags are different, in that they allow you to search for events with related field values. You can assign any field/value combination. So as an example, server names aren’t always helpful. Sometimes they contain ambiguous information. Using tags you can use a more meaningful term.
The Splunk Manager allows you to enable/disable, copy, delete and edit tags that you’ve created.
How can you leverage Splunk?
Use the time range picker to set time boundaries on your searches. You can restrict the search to Preset time ranges, custom Relative time ranges, and custom Real-time time ranges. You can also specify a Date Range, a Date & Time Range, and use more advanced options for specifying the time ranges for a search.
Real-time alerts always trigger immediately for every returned result
Real-time monitored alerts monitor a real-time window and can trigger immediately, or you can define conditions
Scheduled alerts run a search on a regular interval that you define and triggers based on conditions that you define
Run alert in Splunk.
Splunk alerts are based on searches and can run either on a regular scheduled interval or in real-time.
Alerts are triggered when the results of the search meet a specific condition that you define.
Based on your needs, alerts can send emails, trigger scripts and write to RSS feeds.
Consider how you might use a scripted alert.
How can you leverage Splunk?
Demo building a traditional report. Reports can also be dashboards mailed out.
Demo building a report and dashboard.
Demo new dashboard workflow
Show dashboard examples:
Why with the same settings is the shadow so dark?
How can you leverage Splunk?
These are the five logical roles, a Splunk instance can be one or more of the roles.
The search head is what most users interact with. It is the webserver and app interpreting engine that provides the primary, web-based user interface. Since most of the data interpretation happens as-needed at search time, the role of the search head is to translate user and app requests into actionable searches for it’s indexer(s) and display the results. The Splunk web UI is highly customizable, either through our own view and app system, or by embedding Splunk searches in your own web apps or our API. Additional search heads can be deployed to scale with user or search load.
The core of the Splunk infrastructure is indexing. An indexer does two things – it accepts and processes new data, adding it to the index and compressing it on disk. The indexer also services search requests, looking through the data it has via it’s indices and returning the appropriate results to the searcher over a secure compressed communication channel. Indexers scale out almost limitlessly and with almost no degradation in overall performance, allowing Splunk to scale from single-instance small deployments to truly massive Big Data challenges.
The Splunk forwarder is an optional component that can be installed to forward data from servers, desktops, mainframes, and even ARM based devices. There are two types of forwarders; the full Splunk distribution or a dedicated “Universal Forwarder”. The full Splunk distribution can be configured to filter data before transmitting, execute scripts locally, or run SplunkWeb. This gives you several options depending on the footprint size your endpoints can tolerate. The universal forwarder is an ultra-lightweight agent designed to collect data in the smallest possible footprint. Both flavors of forwarder come with automatic load balancing, SSL encryption and data compression, and the ability to route data to multiple Splunk instances or third party systems.
The Cluster Master coordinates which indexers have copies of which buckets to ensure we have met the proper number of replication and searchable copies of each bucket. All clustered Indexers check in with the Master to alert them of their status, and the status of each of their replicated indexes and buckets. We will talk more about buckets later.
And at the bottom there is the there is the Deployment Server, which can be used to manage your distributed Splunk environment. Deployment server helps you synchronize the configuration of your search heads during distributed searching, as well as your forwarders to centrally manage your distributed data collection. Of course, Splunk has a simple flat-file configuration system, so feel free to use your own config management tools if your more comfortable with what you already have.
Getting data into Splunk is designed to be as flexible and easy as possible. Because the indexing engine is so flexible and doesn’t generally require configuration for most IT data, all that remains is how to collect and ship the data to your Splunk. There are many options.
First, you can collect data over the network, without an agent. The most common network input is syslog; Splunk is a fully compliant and customizable syslog listener over both TCP and UDP. Further, because Splunk is just software, any remote file share you can mount or symlink to via the operating system is available for indexing as well. To facilitate remote Windows data collection, Splunk has a its own WMI query tool that can remotely collect Windows Event logs and performance counters from your Windows systems. Finally, Splunk has a AD monitoring tool that can connect to AD and get your user meta data to enhance your searching context and monitor AD for replication, policy or user security changes.
When Splunk is running locally as an indexer or forwarder, you have additional options and greater control. Splunk can directly monitor hundreds or thousands of local files, index them and detect changes. Additionally, many customers use our out-of-the-box scripts and tools to generate data – common examples include performance polling scripts on *nix hosts, API calls to collect hypervisor statistics and for detailed monitoring of custom apps running in debug modes. Also, Splunk has Windows-specific collection tools, including native Event Log access, registry monitoring drivers, performance monitoring and AD monitoring that can run locally with a minimal footprint.
Historically, a Splunk forwarder was a stripped down version of the full Splunk distribution. Certain features, such as Splunk Web, were turned off to decrease footprint on a remote host. Our customers asked us for something even lighter and we delivered. The Universal Forwarder is a new, dedicated package specifically designed for collecting and sending data to Splunk. It’s super light on resources, easy to install, but still includes all the current Splunk inputs, without requiring python. Most deployments should only require the use of the Universal Forwarder but we have kept all features of forwarding in the Regular (or Heavy) Forwarder for cases when you need specific capabilities.
A single indexers it can index 50-100 gigabytes per day depending the data sources and load from searching. If you have terabytes a day you can linearly scale a single, logical Splunk deployment by adding index servers, using Splunk’s built in forwarder load balancing to distribute the data and using distributed search to provide a single view across all of these servers. Unlike some log management products you get full consolidated reporting and alerting not simply merged query results.
When in doubt, the first rule of scaling is ‘add another commodity indexer.’ Splunk indexers are designed to enable nearly limitless fan-out with linear scalability by leveraging techniques like MapReduce to fan-out work in a highly efficient manner.
Leverage distributed search to give each locale access to their own data, while providing a combined view to central teams back at headquarters. Whether to optimize your network traffic or meet data segmentation requirements, feel free to build your Splunk infrastructure as it makes sense for your organization.
Further, each distributed search head automatically creates the correct app and user context while searching across other datasets. No specific custom configuration management is required; Splunk handles it for you.
The insights from your data are mission-critical. With Splunk Enterprise 5 we wanted to deliver a highly available system, with enterprise-grade data resiliency, even as you scale on commodity storage. And we wanted to maintain Splunk’s robust, real-time and ease of use features.
Splunk indexers can now be grouped together to replicate each other’s data, maintaining multiple copies of all data – preventing data loss and delivering highly available data for Splunk search.
Using index replication, if one or more indexers fail, incoming data continues to get indexed and indexed data continues to be searchable.
By spreading data across multiple indexers, searches can read from many indexers in parallel, improving parallelism of operations and performance. All as you scale on commodity servers and storage. And without a SAN.
Splunk isn’t the only technology that can benefit from IT data collection, so let Splunk help send the data to those systems that need it. For those systems that want a direct tap into the raw data, Splunk can forward all or a subset of data in real time via TCP as raw text or RFC-compliant syslog. This can be done on the forwarder or centrally via the indexer without incrementing your daily indexing volume. Separately, Splunk can schedule sophisticated correlation searches and configure them to open tickets or insert events into SIEMs or operation event consoles. This allows you to summarize, mash-up and transform the data with the full power of the search language and import data into these other systems in a controlled fashion, even if they don’t natively support all the data types Splunk does.
MSSP, Cloud Services, etc.
Your logs and other IT data are important but often cryptic. You can extend Splunk’s search with lookups to external data sources as well as automate tagging of hosts, users, sources, IP addresses and other fields that appear in your IT data. This enables you to find and summarize IT data according to business impact, logical application, user role and other logical business mappings. In the example shown, Splunk is looking up the server’s IP address to determine which domain the servicing web host is located in, and the customer account number to show which local market the customer is coming from. Using these fields, a search user could create reports pivoted on this information easily.
Illustrate Lookups:
Splunk allows you to extend your existing AAA systems into the Splunk search system for both security and convenience. Splunk can connect to your LDAP based systems, like AD, and directly map your groups and users to Splunk users and roles. From there, define what users and groups can access Splunk, which apps and searches they have access to, and automatically (and transparently) filter their results by any search you can define. That allows you to not only exclude whole events that are inappropriate for a user to see, but also mask or hide specific fields in the data – such as customer names or credit card numbers – from those not authorized to see the entire event.
How can you leverage Splunk?
With thousands of enterprise customers and an order of magnitude more actual users, we have a thriving community.
We launched a dev portal a few months back and already have over 1,000 unique visitors per week.
We have over 300 apps contributed by ourselves, our partners and our community.
Our knowledge exchange Answers site has over 20,000+ questions answered.
And in August 2012 we ran our 3rd users’ conference with over 1,000 users in attendance, over 100 sessions of content, customers presenting.
Best of all, this community demands more from Splunk and gives us incredible feedback