This document provides an overview of the Splunk software company and its products. It discusses that Splunk has over 2,700 employees globally and annual revenue of $668.4 million, and is headquartered in San Francisco with offices in London and Hong Kong. It offers various products including Splunk Enterprise, Splunk Cloud, and Hunk to collect, analyze, and gain operational intelligence from machine data from any source. Splunk has over 11,000 customers across 110 countries and serves organizations of all sizes.
This document provides an overview and introduction to Splunk. It discusses what Splunk is, how to get started with Splunk including downloading, installing and the basic web interface. It also covers searching machine data, extracting fields, alerts and dashboards. The document then discusses deployment and integration topics such as scaling Splunk, forwarding data, roles, indexing and searching across locations. It concludes with information on support and the Splunk community.
Democratising Security: Update Your Policies or Update Your CVExtraHop Networks
Security is everyone's responsibility. That’s the lesson learned as enterprises seek to improve their detection and response for cyber incidents. This session introduces a new model where InfoSec sets the policies and delegates monitoring to application teams.
The ExtraHop wire data analytics platform enables IT teams to answer questions they hadn't known to ask before, such as "Which SSL servers are receiving heartbeats?" and "Where are heartbeat messages coming from?"
By passively analyzing your wire data, ExtraHop provides deep visibility into HL7 messages, Citrix performance, EHR behavior, ICD-10 conversion, and more.
Proactive monitoring and remediation
Optimization and continuous improvement
Pervasive security monitoring and compliance
Clinical and operations analytics
This document provides an overview and introduction to Splunk. It discusses what Splunk is, how to get started with Splunk including downloading, installing and the basic web interface. It also covers searching machine data, extracting fields, alerts and dashboards. The document then discusses deployment and integration topics such as scaling Splunk, forwarding data, roles, indexing and searching across locations. It concludes with information on support and the Splunk community.
Democratising Security: Update Your Policies or Update Your CVExtraHop Networks
Security is everyone's responsibility. That’s the lesson learned as enterprises seek to improve their detection and response for cyber incidents. This session introduces a new model where InfoSec sets the policies and delegates monitoring to application teams.
The ExtraHop wire data analytics platform enables IT teams to answer questions they hadn't known to ask before, such as "Which SSL servers are receiving heartbeats?" and "Where are heartbeat messages coming from?"
By passively analyzing your wire data, ExtraHop provides deep visibility into HL7 messages, Citrix performance, EHR behavior, ICD-10 conversion, and more.
Proactive monitoring and remediation
Optimization and continuous improvement
Pervasive security monitoring and compliance
Clinical and operations analytics
This document provides an overview and agenda for a presentation on getting started with Splunk Enterprise. It discusses what machine data is, how Splunk can extract insights from machine data, and Splunk's scalable deployment architecture. It also demonstrates searches in Splunk and discusses resources for help and support.
The document summarizes Splunk Enterprise 6.3, highlighting key new features and capabilities. It discusses breakthrough performance and scale improvements including doubled search and indexing speed and 20-50% increased capacity. It also covers advanced analysis and visualization features like anomaly detection, geospatial mapping, and single-value display. New capabilities for high-volume event collection and an enterprise-scale platform with expanded management, custom alert actions, and data integrity control are also summarized.
This document provides an overview and demonstration of Splunk software. It discusses what machine data is, Splunk's mission to make machine data accessible and valuable, and what machine data looks like from different sources. The presentation then demonstrates how to install Splunk, onboard data, conduct searches, create dashboards and alerts. It also discusses Splunk deployment architectures for single and distributed environments and how to get help resources.
Splunk is a software platform that allows users to search, monitor, and analyze machine-generated data in real-time. It is used by over 10,000 customers across many industries to gain operational intelligence. Splunk indexes data from various sources like servers, networks, applications, and devices and allows users to interact with the data through searching, reporting, visualization, and alerting. It provides universal access to data regardless of format or source, and scales from small environments to very large ones processing hundreds of terabytes per day.
This document discusses how Allegro, an online transaction platform in Central and Eastern Europe, uses Splunk to gain insights from machine-generated big data. It describes how Splunk enables real-time monitoring and alerts, integration with applications, and archiving of big data in Hadoop at Allegro. The document also provides an overview of Splunk, including its customers, products, and capabilities for real-time operational intelligence, security and compliance, and business analytics.
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.
Partner Solutions: Splunk - Cloud Is a Journey. Make Splunk Your PartnerAmazon Web Services
Enterprise migration to cloud doesn’t happen overnight. As more critical workloads move to the cloud, businesses are looking to:
• Guarantee mission-critical cloud deployments adhere to security and compliance standards
• Ensure application performance and uptime in the cloud meet defined SLAs
• Achieve increased levels of operational visibility without additional complexity
In this session, we will be looking at how Splunk aligned with AWS to deliver solutions that offer real-time visibility into your cloud applications, infrastructure and AWS account.
This document provides an overview and examples of data onboarding in Splunk. It discusses best practices for indexing data, such as setting the event boundary, date, timestamp, sourcetype and source fields. Examples are given for onboarding complex JSON, simple JSON and complex CSV data. Lessons learned from each example highlight issues like properly configuring settings for nested or multiple timestamp fields. The presentation also introduces Splunk capabilities for collecting machine data beyond logs, such as the HTTP Event Collector, Splunk MINT and the Splunk App for Stream.
Splunk is used by many large financial services companies to gain operational intelligence and insights across diverse business processes. Some key uses of Splunk mentioned in the document include enabling high performance global trade infrastructure, gaining visibility across FIX order routing systems, providing end to end visibility across applications and infrastructure to deliver $6M annual ROI, enabling timely transaction settlement processing, and being integrated into a risk metrics group's high performance cloud computing offering.
Splunk is a software company headquartered in San Francisco with additional offices in London and Hong Kong. They have over 2,100 employees and annual revenue of $668.4 million, growing 49% year-over-year. Their products include Splunk Enterprise, Splunk Cloud, and other solutions for collecting, analyzing, and visualizing machine-generated data from websites, applications, sensors, and other sources. Splunk has over 11,000 customers across more than 110 countries, including 80 of the Fortune 100. Their largest customer indexes over 1 petabytes of data per day.
Elevate your Splunk Deployment by Better Understanding your Value Breakfast S...Splunk
This document discusses how to better understand the value of a Splunk deployment through assessing data sources. It presents a data source assessment tool to map data sources to use cases and organizational groups to identify opportunities. The tool shows which data sources are indexed and overlap between groups. It aims to maximize benefits from machine data by supporting business objectives and enabling broader impact.
The emergence of cloud services represents a new frontier for real-time data analytics. Organizations can now capture real time, end-to-end information about performance, customer experience and adherence to SLAs.
In this session, learn how MindTouch, a leading provider of cloud-based customer success software, analyzes their machine data to ensure 24x7 service uptime, deliver on SLAs, and gain new insights into customer experience and customer retention.
Splunk provides a platform for operational intelligence that allows users to analyze machine data from any source. The document discusses Splunk products and solutions for IT service management, security intelligence, and Internet of Things applications. Splunk has over 11,000 customers across various industries.
This document summarizes Klarna's use of Splunk for security operations and IT monitoring. It discusses how Klarna started using Splunk in 2013 for a few engineering teams and has since expanded to over 700 users across the organization. Splunk is used for monitoring critical systems, incident management, and operational analytics. Security operations leverages Splunk's correlation capabilities across authentication, network flow, vulnerability management, and other log sources to gain insights. The presentation outlines Klarna's growth, how different teams use Splunk, and their plans to further expand Splunk usage for enterprise security.
This document provides an overview of Splunk, Inc. including:
- Splunk is a software company founded in 2004 that provides data platforms for machine data including on-premise, cloud, and SaaS solutions.
- They have over 5,200 customers including 63 of the Fortune 100 and can process up to 100 terabytes per day for their largest license.
- Splunk's software delivers value across IT operations and security as well as business analytics by enabling users to gain operational visibility and real-time insights from machine data.
- Splunk supports use cases across various industries including retail, media, telecommunications, and manufacturing by helping customers turn machine data into valuable business insights.
Virtual Gov Day - Application Delivery Breakout - OverviewSplunk
Splunk is an industry-leading platform that allows users to index and search machine-generated data from any source, in any format, at any scale, in real-time and historical. It provides operational intelligence capabilities like search and investigation, proactive monitoring, and real-time business insights. Splunk delivers value across IT operations, security, compliance, fraud detection, application delivery, and business analytics.
In this session, David Ting, VP of Engineering at DataVisor, explores the latency challenges associated with a global client base and what can be learned when implementing a performance-improving solution.
Splunk provides a fully integrated platform for collecting, analyzing, and visualizing machine data from any source. The Splunk App for AWS integrates with AWS services like CloudTrail, Config, and VPC Flow Logs to provide visibility into AWS environments. It collects data from AWS SQS queues and S3 buckets using the AWS SDK. Setting up the Splunk App for AWS requires installing the Splunk Add-on for AWS and configuring permissions for AWS services. Users add their AWS account, and then must wait 5-10 minutes for dashboards and reports to populate with AWS log data.
The Big Data phenomenon is being driven by the growth of machine data. Critical insights found in machine data enable IT and Security teams to ensure uptime, detect fraud and identify threats. Today, forward-thinking organizations are discovering its value to better understand their customers, improve products, optimize marketing and improve business processes. Learn how Splunk and your machine data can deliver real-time insights from this new class of data and complement your existing BI investments.
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.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
This document provides an overview and agenda for a presentation on getting started with Splunk Enterprise. It discusses what machine data is, how Splunk can extract insights from machine data, and Splunk's scalable deployment architecture. It also demonstrates searches in Splunk and discusses resources for help and support.
The document summarizes Splunk Enterprise 6.3, highlighting key new features and capabilities. It discusses breakthrough performance and scale improvements including doubled search and indexing speed and 20-50% increased capacity. It also covers advanced analysis and visualization features like anomaly detection, geospatial mapping, and single-value display. New capabilities for high-volume event collection and an enterprise-scale platform with expanded management, custom alert actions, and data integrity control are also summarized.
This document provides an overview and demonstration of Splunk software. It discusses what machine data is, Splunk's mission to make machine data accessible and valuable, and what machine data looks like from different sources. The presentation then demonstrates how to install Splunk, onboard data, conduct searches, create dashboards and alerts. It also discusses Splunk deployment architectures for single and distributed environments and how to get help resources.
Splunk is a software platform that allows users to search, monitor, and analyze machine-generated data in real-time. It is used by over 10,000 customers across many industries to gain operational intelligence. Splunk indexes data from various sources like servers, networks, applications, and devices and allows users to interact with the data through searching, reporting, visualization, and alerting. It provides universal access to data regardless of format or source, and scales from small environments to very large ones processing hundreds of terabytes per day.
This document discusses how Allegro, an online transaction platform in Central and Eastern Europe, uses Splunk to gain insights from machine-generated big data. It describes how Splunk enables real-time monitoring and alerts, integration with applications, and archiving of big data in Hadoop at Allegro. The document also provides an overview of Splunk, including its customers, products, and capabilities for real-time operational intelligence, security and compliance, and business analytics.
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.
Partner Solutions: Splunk - Cloud Is a Journey. Make Splunk Your PartnerAmazon Web Services
Enterprise migration to cloud doesn’t happen overnight. As more critical workloads move to the cloud, businesses are looking to:
• Guarantee mission-critical cloud deployments adhere to security and compliance standards
• Ensure application performance and uptime in the cloud meet defined SLAs
• Achieve increased levels of operational visibility without additional complexity
In this session, we will be looking at how Splunk aligned with AWS to deliver solutions that offer real-time visibility into your cloud applications, infrastructure and AWS account.
This document provides an overview and examples of data onboarding in Splunk. It discusses best practices for indexing data, such as setting the event boundary, date, timestamp, sourcetype and source fields. Examples are given for onboarding complex JSON, simple JSON and complex CSV data. Lessons learned from each example highlight issues like properly configuring settings for nested or multiple timestamp fields. The presentation also introduces Splunk capabilities for collecting machine data beyond logs, such as the HTTP Event Collector, Splunk MINT and the Splunk App for Stream.
Splunk is used by many large financial services companies to gain operational intelligence and insights across diverse business processes. Some key uses of Splunk mentioned in the document include enabling high performance global trade infrastructure, gaining visibility across FIX order routing systems, providing end to end visibility across applications and infrastructure to deliver $6M annual ROI, enabling timely transaction settlement processing, and being integrated into a risk metrics group's high performance cloud computing offering.
Splunk is a software company headquartered in San Francisco with additional offices in London and Hong Kong. They have over 2,100 employees and annual revenue of $668.4 million, growing 49% year-over-year. Their products include Splunk Enterprise, Splunk Cloud, and other solutions for collecting, analyzing, and visualizing machine-generated data from websites, applications, sensors, and other sources. Splunk has over 11,000 customers across more than 110 countries, including 80 of the Fortune 100. Their largest customer indexes over 1 petabytes of data per day.
Elevate your Splunk Deployment by Better Understanding your Value Breakfast S...Splunk
This document discusses how to better understand the value of a Splunk deployment through assessing data sources. It presents a data source assessment tool to map data sources to use cases and organizational groups to identify opportunities. The tool shows which data sources are indexed and overlap between groups. It aims to maximize benefits from machine data by supporting business objectives and enabling broader impact.
The emergence of cloud services represents a new frontier for real-time data analytics. Organizations can now capture real time, end-to-end information about performance, customer experience and adherence to SLAs.
In this session, learn how MindTouch, a leading provider of cloud-based customer success software, analyzes their machine data to ensure 24x7 service uptime, deliver on SLAs, and gain new insights into customer experience and customer retention.
Splunk provides a platform for operational intelligence that allows users to analyze machine data from any source. The document discusses Splunk products and solutions for IT service management, security intelligence, and Internet of Things applications. Splunk has over 11,000 customers across various industries.
This document summarizes Klarna's use of Splunk for security operations and IT monitoring. It discusses how Klarna started using Splunk in 2013 for a few engineering teams and has since expanded to over 700 users across the organization. Splunk is used for monitoring critical systems, incident management, and operational analytics. Security operations leverages Splunk's correlation capabilities across authentication, network flow, vulnerability management, and other log sources to gain insights. The presentation outlines Klarna's growth, how different teams use Splunk, and their plans to further expand Splunk usage for enterprise security.
This document provides an overview of Splunk, Inc. including:
- Splunk is a software company founded in 2004 that provides data platforms for machine data including on-premise, cloud, and SaaS solutions.
- They have over 5,200 customers including 63 of the Fortune 100 and can process up to 100 terabytes per day for their largest license.
- Splunk's software delivers value across IT operations and security as well as business analytics by enabling users to gain operational visibility and real-time insights from machine data.
- Splunk supports use cases across various industries including retail, media, telecommunications, and manufacturing by helping customers turn machine data into valuable business insights.
Virtual Gov Day - Application Delivery Breakout - OverviewSplunk
Splunk is an industry-leading platform that allows users to index and search machine-generated data from any source, in any format, at any scale, in real-time and historical. It provides operational intelligence capabilities like search and investigation, proactive monitoring, and real-time business insights. Splunk delivers value across IT operations, security, compliance, fraud detection, application delivery, and business analytics.
In this session, David Ting, VP of Engineering at DataVisor, explores the latency challenges associated with a global client base and what can be learned when implementing a performance-improving solution.
Splunk provides a fully integrated platform for collecting, analyzing, and visualizing machine data from any source. The Splunk App for AWS integrates with AWS services like CloudTrail, Config, and VPC Flow Logs to provide visibility into AWS environments. It collects data from AWS SQS queues and S3 buckets using the AWS SDK. Setting up the Splunk App for AWS requires installing the Splunk Add-on for AWS and configuring permissions for AWS services. Users add their AWS account, and then must wait 5-10 minutes for dashboards and reports to populate with AWS log data.
The Big Data phenomenon is being driven by the growth of machine data. Critical insights found in machine data enable IT and Security teams to ensure uptime, detect fraud and identify threats. Today, forward-thinking organizations are discovering its value to better understand their customers, improve products, optimize marketing and improve business processes. Learn how Splunk and your machine data can deliver real-time insights from this new class of data and complement your existing BI investments.
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.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
2. Splunk
2
Компания
• Global HQs:
San Francisco
London
Hong Kong
• 2,700+ employees
globally
• Annual Revenue:
$668.4M (YoY +49%)
• NASDAQ: SPLK
Продукты
• Free trial to massive scale
• Splunk products:
Splunk Enterprise
Splunk Cloud
Hunk
Splunk Light
Splunk MINT
Premium Solutions
Заказчики
• 11,000+ customers
• Across 110 countries
• Small to large
organizations
• More than 80 of the
Fortune 100
• Largest license:
1+ Petabytes/day
3. Big Data Comes from Machines
Объем | Скорость | Разнообразие | Изменчивость
GPS,
RFID,
Hypervisor,
Web Servers,
Email, Messaging,
Clickstreams, Mobile,
Telephony, IVR, Databases,
Sensors, Telematics, Storage,
Servers, Security Devices, Desktops
3
4. What Does Machine Data Look Like?
Sources
Order Processing
Twitter
Care IVR
Middleware
Error
4
5. Machine Data Contains Critical Insights
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
5
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
6
9. 9
Почему Splunk?
FAST TIME-TO-VALUE
ONE PLATFORM, MULTIPLE USE CASES
VISIBILITY ACROSS STACK, NOT JUST SILOS
ASK ANY QUESTION OF DATA
ANY DATA, ANY SOURCE OR DEPLOYMENT MODEL
11. Fully Integrated Enterprise Platform
HA / DR Admin Data Security Apps SDKs/APIScale
Collect
Data
Index
Data
Enrich
Data
Search &
Explore
Analyze
& Predict
Report &
Visualize
Alert &
Action
11
12. Превращает данные в операционные знания
Reactive
Поиск
и
расследование
Мониторинг
и
оповещение
Операционная
прозрачность
Proactive
Бизнес
информация
в реальном
времени
13. Platform for Operational Intelligence
The Splunk Portfolio
Rich Ecosystem of
Apps & Add-Ons
Splunk Premium
Solutions
Mainframe
Data
Relational
Databases
MobileForwarders Syslog/TCP
IoT
Devices
Network
Wire Data
Hadoop
14. 14
От машинных данных к бизнес ценностям
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
Splunk has more than 1,800 employees worldwide, with our global headquarters in San Francisco. Our 11,000+ customers in 110+ countries are using Splunk software and cloud services to improve service levels, reduce operations costs, mitigate security risks, enable compliance, enhance DevOps collaboration and create new product and service offerings.
Our products are designed to fit your needs and are built to be as frictionless to deploy as possible. Simple download Splunk software, or sign up for the online sandbox, point it at your data, and you’ll up and running in minutes.
Please always refer to latest company data found here: http://www.splunk.com/company.
What is this machine data, and why is it a big deal?
Well, it’s one of the fastest growing, most complex and most valuable segments of data.
All the webservers, applications, network devices, mobile devices, sensors – all of the technology infrastructure running your enterprise – generates massive streams of data, in an array of unpredictable formats that are difficult to process and analyze by traditional methods or in a timely manner.
Why is this “machine data” valuable? Because it contains a trace - a categorical record - of user behavior, cyber-security risks, application behavior, service levels, fraudulent activity and customer experience.
Characteristics of machine data – the four V’s - the last two are the most interesting / challenging.
Unlike traditional structured data or multi-dimensional data– for example data stored in a traditional relational database for batch reporting – machine data is non-standard, highly diverse, dynamic and high volume. You will notice that machine data events are also typically time-stamped – it is time-series data.
Take the example of purchasing a product on your tablet or smartphone: the purchase transaction fails, you call the call center and then tweet about your experience. All these events are captured - as they occur - in the machine data generated by the different systems supporting these different interactions.
Each of the underlying systems can generate millions of machine data events daily. Here we see small excerpts from just some of them.
When we look more closely at the data we see that it contains valuable information – customer id, order id, time waiting on hold, twitter id … what was tweeted.
What’s important is first of all the ability to actually see across all these disparate data sources, but then to correlate related events across disparate sources, to deliver meaningful insight.
If you can correlate and visualize related events across these disparate sources, you can build a picture of activity, behavior and experience. And what if you can do all of this in real-time? You can respond more quickly to events that matter.
For example, if an organizations captured the customers twitter ID in their customer profile this correlation would be possible. Where that didn’t exist, they could at least group by demographic with the tweets.
You can extrapolate this example to a wide range of use cases – security and fraud, transaction monitoring and analysis, web analytics, IT operations and so on.
At Splunk, our mission is to make machine data accessible, usable and valuable to everyone. And this overarching mission is what drives our company and product priorities.
At it’s core, the Splunk platform enables you to:
Collect data from anywhere – with universal forwarding and indexing technology.
Search and analyze across all your data – with powerful search and schema-on-the-fly technology.
Rapidly deliver real-time insights from machine data to IT and business people – through a powerful UI and dashboards.
This is what we call Operational Intelligence.
What would you do if you could install software, point it at your data, then ask any questions you have? That’s the power of Splunk software and cloud services.
Our software was designed to be downloaded and installed in minutes. The same software that’s a free download scales to hundreds of terabytes of data per day, and enables you to ask questions across your entire infrastructure—even across data silos. As you add more data, you receive more insights. All data is relevant to how you run your business and to support strategic priorities.
Splunk Enterprise can be deployed on-premises or in the cloud, and can be deployed as either software or SaaS.
The rise of big data has forced IT organizations to transition from a focus on structured, relational data, to accommodate unstructured data, driven by the volume, velocity and variety of today’s applications and systems. As the data has changed from structured data to unstructured data, the technology approach needs to change as well.
When you don’t know what data types you’ll need to analyze tomorrow or what questions you need to ask in a week, flexibility becomes a key component of your technology decisions. The ability to index any data type, search across silos and avoid being locked into a rigid schema opens a new world of analytics and business insights to your organization.
Schema at Read – Enables you ask any question of the deal
Search – Enables rapid, iterative exploration of the data along with advanced analytics
Universal Indexing – Enables you to ingest any type of machine data
Horizontal scaling over commodity hardware enables big data analytics
Splunk provides an open, fully integrated platform. That means you can collect, index, analyze, report and predict on machine-generated data from a single product. It’s enterprise-ready with high availability and disaster recovery features, role-based access control and scales to index hundreds of terabytes per day. It’s an open platform with over 500 Splunk Apps available and allows for custom development.
Here's how using Splunk and your machine data can drive significant benefits for your organization.
Search and investigation. Using Splunk, organizations identify and resolve issues up to 70% faster and reduce costly escalations by up to 90%. Splunk is one place to find and fix problems, and investigate incidents across all your IT systems and infrastructure.
Proactive monitoring. Monitor IT systems in real time to identify issues, problems and attacks before they impact your customers, services and revenue. Splunk keeps watch of specific patterns, trends and thresholds in your machine data so you don't have to. Trigger notifications in real-time via email or RSS, execute a script to take remedial actions, send an SNMP trap to your system management console or generate a service desk ticket.
Operational visibility. See the whole picture, track performance and make better decisions. Visualize usage trends to better plan for capacity; spot SLA infractions, track how you are being measured by the business. Do all of this using your existing machine data without spending millions of dollars instrumenting your IT infrastructure.
Real-time business insight. Make better-informed business decisions by understanding trends, patterns and gaining Operational Intelligence from your machine data. See the success of new online services by channel or demographic, reconcile 3rd-party service provider fees against actual use, find your heaviest users and heaviest abusers, and more. Because machine data captures every behavior, the possibilities are game changing. You'll find the lead times to get to this intelligence dramatically less than other solutions - measured in minutes/hours instead of months.
The Splunk platform consists of multiple products and deployment models to fit your needs.
Splunk Enterprise – for on-premise deployment
Splunk Cloud – Fully managed service with 100% SLA and all the capabilities of Splunk Enterprise…in the Cloud
Hunk – for analytics on data in Hadoop
Splunk Mint – to get insights into data from Mobile devices
The products can pull in data from virtually any source to support multiple use cases.
Splunk Apps extend and simplify deployments by providing pre-packaged content designed for specific use cases and data types.
Splunk products are being used for data volumes ranging from gigabytes to hundreds of terabytes per day. Splunk software and cloud services reliably collects and indexes machine data, from a single source to tens of thousands of sources. All in real time. Once data is in Splunk Enterprise, you can search, analyze, report on and share insights form your data. The Splunk Enterprise platform is optimized for real-time, low-latency and interactivity, making it easy to explore, analyze and visualize your data. This is described as Operational Intelligence.
The insights gained from machine data support a number of use cases and can drive value across your organization.
[In North America]
Splunk Cloud is available in North America and offers Splunk Enterprise as a cloud-based service – essentially empowering you with Operational Intelligence without any operational effort.