Splunk Tutorial for Beginners - What is Splunk | EdurekaEdureka!
This Splunk tutorial will help you understand what is Splunk, benefits of using Splunk, Splunk vs ELK vs Sumo Logic, Splunk architecture - Splunk Forwarder, Indexer and Search Head with the help of Dominos use-case, Splunk careers & jobs. Check the Splunk tutorial video here: https://www.youtube.com/watch?v=Ekai8Ln11Iw. You can also read the tutorial blog here: https://goo.gl/eoZFWV.
The slides consist of following topics:
Need for Data Management & Analytics
What is Splunk and Why Splunk?
Splunk vs ELK vs Sumo Logic
Splunk Use Case: Domino's
How Splunk Works? Splunk Architecture
Heavy Forwarders
Splunk Architecture Diagram
Splunk Jobs & Careers
Getting Started with Splunk Enterprise
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.
SplunkLive! London: Splunk ninjas- new features and search dojoSplunk
Besides seeing the newest features in Splunk software and learning the best practices for data models and pivot, we will show you how to use a handful of search commands that will solve most search needs. Learn these well and become a Splunk ninja.
Splunk Tutorial for Beginners - What is Splunk | EdurekaEdureka!
This Splunk tutorial will help you understand what is Splunk, benefits of using Splunk, Splunk vs ELK vs Sumo Logic, Splunk architecture - Splunk Forwarder, Indexer and Search Head with the help of Dominos use-case, Splunk careers & jobs. Check the Splunk tutorial video here: https://www.youtube.com/watch?v=Ekai8Ln11Iw. You can also read the tutorial blog here: https://goo.gl/eoZFWV.
The slides consist of following topics:
Need for Data Management & Analytics
What is Splunk and Why Splunk?
Splunk vs ELK vs Sumo Logic
Splunk Use Case: Domino's
How Splunk Works? Splunk Architecture
Heavy Forwarders
Splunk Architecture Diagram
Splunk Jobs & Careers
Getting Started with Splunk Enterprise
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.
SplunkLive! London: Splunk ninjas- new features and search dojoSplunk
Besides seeing the newest features in Splunk software and learning the best practices for data models and pivot, we will show you how to use a handful of search commands that will solve most search needs. Learn these well and become a Splunk ninja.
In addition to seeing the latest features in Splunk Enterprise, learn some of the top commands that will solve most search and analytics needs. Ninja’s can use these blindfolded. New features will be demonstrated in the following areas: TCO and Performance Improvements, Platform Management and New Interactive Visualizations.
Power of Splunk Search Processing Language (SPL)Splunk
This session will unveil the power of the Splunk Search Processing Language (SPL). See how to use Splunk's simple search language for searching and filtering through data, charting statistics and predicting values, converging data sources and grouping transactions, and finally data science and exploration. We'll begin with basic search commands and build up to more powerful advanced tactics to help you harness your Splunk Fu!
Splunk Ninjas: New features, pivot, and search dojoSplunk
Besides seeing the newest features in Splunk Enterprise and learning the best practices for data models and pivot, we will show you how to use a handful of search commands that will solve most search needs. Learn these well and become a ninja.
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
Splunk is a powerful platform that can harness your machine data and turn it into valuable information thereby enabling your business to make informed decisions, taking your organization from reactive to proactive. Just like any other platform, Splunk is only as powerful as the data it has access to, therefore in this session we will be conducting a walk thru of how to successfully on-board data, with samples of data ranging from simple to complex. We will also be taking a look at how to use common TA’s to bring valuable data into Splunk. This session is designed to give you a better understanding of how to onboard data into Splunk enabling you to unlock the power of your data
In addition to seeing the latest features in Splunk Enterprise, learn some of the top commands that will solve most search and analytics needs. Ninja’s can use these blindfolded. New features will be demonstrated in the following areas: TCO and Performance Improvements, Platform Management and New Interactive Visualizations.
Power of Splunk Search Processing Language (SPL)Splunk
This session will unveil the power of the Splunk Search Processing Language (SPL). See how to use Splunk's simple search language for searching and filtering through data, charting statistics and predicting values, converging data sources and grouping transactions, and finally data science and exploration. We'll begin with basic search commands and build up to more powerful advanced tactics to help you harness your Splunk Fu!
Splunk Ninjas: New features, pivot, and search dojoSplunk
Besides seeing the newest features in Splunk Enterprise and learning the best practices for data models and pivot, we will show you how to use a handful of search commands that will solve most search needs. Learn these well and become a ninja.
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
How to Design, Build and Map IT and Business Services in SplunkSplunk
Your IT department supports critical business functions, processes and products. You're most effective when your technology initiatives are closely aligned and measured with specific business objectives. This session covers best practices and techniques for designing and building an effective service model, using the domain knowledge of your experts and capturing and reporting on key metrics that everyone can understand. We will design a sample service model and map them to performance indicators to track operational and business objectives. We will also show you how to make Splunk service-ware with Splunk IT Service Intelligence (ITSI).
Splunk is a powerful platform that can harness your machine data and turn it into valuable information thereby enabling your business to make informed decisions, taking your organization from reactive to proactive. Just like any other platform, Splunk is only as powerful as the data it has access to, therefore in this session we will be conducting a walk thru of how to successfully on-board data, with samples of data ranging from simple to complex. We will also be taking a look at how to use common TA’s to bring valuable data into Splunk. This session is designed to give you a better understanding of how to onboard data into Splunk enabling you to unlock the power of your data
Taking Splunk to the Next Level – ArchitectureSplunk
Are you outgrowing your initial Splunk deployment? Is Splunk becoming mission critical and you need to make sure it's Enterprise ready? Attend this session led by Splunk experts to learn about taking your Splunk deployment to the next level. Learn about Splunk high availability architectures with Splunk Search Head Clustering and Index Replication. Additionally, learn how to manage your deployment with Splunk’s operational and management controls to manage Splunk capacity and end user experience.
Julian Harty, Sr. Sales Engineer, Splunk reviews the internals of how a Splunk search is performed, use of job inspector, search log, and gives a review of where and when to use certain commands.
Splunk conf2014 - Onboarding Data Into SplunkSplunk
It's important to get data into Splunk right the first time. This session shows you how to get the 'important' things right, the first time, sometimes using .conf files. Some of those important things to get right include timestamp and timezone, host extractions (which host to extract), sourcetype, line-breaking and index. Splunk's "schema-on-the-fly" allows flexibility in field extractions, but we need to index things properly to find the data. This presentation walks customers through getting different data sources -- e.g., logs, data base, API calls (JIRA, SFDC), FIX data -- into Splunk with the correct parsing rules.
Splunk, Software Tools, Big Data, Logging, PCI, Information security, Cisco Systems, VMware ESX, Regulatory compliance, FISMA, Enterprise architecture, Data center, security software, SCADA, Windows,Unix,Scanners, Citrix, Microsoft Active Directory
Operational Analytics: Best Software For Sourcing Actionable Insights 2013Newton Day Uploads
Actionable Insights are those views of data that cause managers to ask new questions about how processes work and take action. They differ from traditional key performance measures and daily operating reports that focus on delivering a picture of progress against a strategic objective, operating budget or forecast. What software is best for your business to source these game-changing perspectives of your enterprise?
Data is being generated at a feverish pace and forward thinking companies are integrating big data and analytics as part of their core strategy from day one. However, it is often hard to sift through the hype around big data and many companies start with only a small subset of data. Can smaller companies benefit from big data efforts? We will discuss several use cases and examples of how startups are using data to optimize their operations, connect with their users, and expand their market.
Most of what companies know is typically held
in a data warehouse – a database that collects transactions and looks at customer transaction activity over time to understand who is buying what through which channel.
Now companies are in the middle of a renovation that forces them to be analytics-driven to
continue being competitive. Data analysis provides a complete insight about their business. It
also gives noteworthy advantages over their competitors. Analytics-driven insights compel
businesses to take action on service innovation, enhance client experience, detect irregularities in
process and provide extra time for product or service marketing. To work on analytics driven
activities, companies require to gather, analyse and store information from all possible sources.
Companies should bring appropriate tools and workflows in practice to analyse data rapidly and
unceasingly. They should obtain insight from data analysis result and make changes in their
business process and practice on the basis of gained result. It would help to be more agile than
their previous process and function.
Big Data at the Speed of Business: Lessons Learned from Leading at the EdgeDataWorks Summit
How do you make big data accessible, usable and valuable for everyone? And mine your data for intelligence in minutes and hours, not weeks and months? What about getting real-time insights from your data, even before you persist and replicate it? In this talk, we’ll examine compelling, real-world examples that offer a blueprint for integrating big data technologies (Splunk, Hadoop, RDBMS, Cassandra, HBase), delivering rapid visibility and insights to IT professionals, data analysts and business users, and that accelerate the adoption of big data in the enterprise.
Going Responsive with Google Analytics - EdUiNewCity
Responsive design can get all of your site content on mobile devices, but without some tweaking, it can wreak havoc on your analytics. Learn to set up profiles that will not only preserve your current results but give you new insights about how people use your site in different contexts.
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
For many IT experts, big data analytics tools and technologies are now a top priority. Let's find out the top big data analytics tools in this slide to initialize and advance the process of big data analysis.
Gain a Holistic View of your Customer's JourneyPlatfora
Today, companies are capturing information about customers at every touchpoint, but the reality is that most companies are working with siloed marketing data because they’re using disparate tools to track online, offline, web, social, mobile, and advertising data.
In this presentation, Rod Fontecilla, VP of Application Modernization at Unisys, explains how his team uses Platfora to analyze, interact and understand data to drive customer success at Unisys.
Rod will highlight three specific Unisys use cases of Platfora, one of which involved a timely text survey sentiment analysis that produced insights enabling a course correction in favor of improved customer satisfaction.
Age of Exploration: How to Achieve Enterprise-Wide DiscoveryInside Analysis
The Briefing Room with Dr. Robin Bloor and IBM Information Management
Live Webcast Nov. 19, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7808847&rKey=73cc8052da2d9962
The bigger data volumes get, the wider the range of sources available, the more companies need to secure a strategic view of their information assets. This is no small challenge for all kinds of reasons, not the least of which is access to the growing array of valuable data sets available. Today's most innovative companies are using creative solutions to ride the information wave.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor, as he explains how the unbridled growth of data and information systems requires a holistic approach to information access. He will be briefed by Mark Myers and Scott Parker of IBM, who will showcase the company’s InfoSphere Data Explorer product, a solution aimed squarely at the need to gain a cohesive view of enterprise data, wherever it may be. Myers and Parker will discuss how Data Explorer can help organizations to get more from their SharePoint investments, enabling them to deliver information to front-line employees regardless of where it is managed.
Visit InsideAnalysis.com for more information
Building Modern Data Platform with Microsoft AzureDmitry Anoshin
This presentation will cover Cloud history and Microsoft Azure Data Analytics capabilities. Moreover, it has a real-world example of DW modernization. Finally, we will check the alternative solution on Azure using Snowflake and Matillion ETL.
This presentation about Data Warehouse modernization and extending it to the modern data platform by adding Big Data solution using EMR and Spark and streaming data with Kinesis Firehose. In addition, it will cover the use case of complimentory data lake for data warehouse. Moreover, this presentation include ETL tool selection process and ML consideration.
This presentation was part of Mentoring program for HighTechU at CS Department of University of Victoria. This slides should help future engineers to understand value of data and help them think about data from beginning of any codding job.
Enterprise Data World 2018 - Building Cloud Self-Service Analytical SolutionDmitry Anoshin
This session will cover building the modern Data Warehouse by migration from the traditional DW platform into the cloud, using Amazon Redshift and Cloud ETL Matillion in order to provide Self-Service BI for the business audience. This topic will cover the technical migration path of DW with PL/SQL ETL to the Amazon Redshift via Matillion ETL, with a detailed comparison of modern ETL tools. Moreover, this talk will be focusing on working backward through the process, i.e. starting from the business audience and their needs that drive changes in the old DW. Finally, this talk will cover the idea of self-service BI, and the author will share a step-by-step plan for building an efficient self-service environment using modern BI platform Tableau.
AWS User Group: Building Cloud Analytics Solution with AWSDmitry Anoshin
Abebooks is one of Amazon Subsidiary and it treats data as an asset. It always looks the way to improve existing analytics solution and extract information from terabytes of data.
One of the recent initiatives was the migration from legacy DW platform to the AWS Redshift. During this journey, our data engineers met lots of challenges and sometimes tried to reinvent the wheel.
This talk will cover Abebooks journey towards Cloud DW. Moreover, we will cover the ETL tool selection process for the Cloud as well as the adoption process for the end users. This talk will help you understand the potential of the modern cloud DW and learn about our use case and save time for the future projects.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
2. Splunk to the Rescue in the Datacenter
It’s 2 AM, the web site is down.
Why did it fail?
Was it the web servers, the applications, the database servers, a full disk, or load balancers on the
fritz?
cleverdata.ru | info@cleverdata.ru
Relax. You deployed Splunk yesterday.
Search the log files from all your web servers, databases, firewalls, routers, and load balancers, as well
as search configuration files and data from all your other devices, operating systems, or applications of
interest.
A graph of web server show me when was a problem - at 5:03 PM, errors on the web servers spiked
dramatically -> check top 10 pages with errors:
The home page is okay.
The search page is okay.
The shopping cart is the problem. Starting at 5:03, every request to that page produced an error.
Shopping cart connected to a database -> logs shows the database is up -> ecommerce server logs.
At 5:03 PM, the ecommerce server cannot connect to the database server. -> changes to the
configuration files and see that someone changed a network setting.
It was done incorrectly. You contact the person who made the change, who rolls it back, and the system
starts working again.
3. Splunk to the Rescue in the Marketing Department
cleverdata.ru | info@cleverdata.ru
The promotions department of a large retailer.
Looking at the graph for the last few hours, you see a spike 20 minutes ago. Searches for your company
name and your latest product are way up.
You check a report on top referring URLs in the past hour and Splunk shows that a celebrity tweeted about
the product and linked to your home page.
You look at another graph that shows performance of the most frequently visited pages. The search page is
overloaded and slowing down. A huge crowd of people is coming to your site but can’t find the product they
are looking for, so they are all using search.
You log on to your site’s content management system and put a promotional ad for the new product at the
center of the home page.
Search traffic starts to drop, and traffic to the new product page starts to rise, and so does traffic to the
shopping cart page. You look at the top 10 products added to the cart and the top 10 products purchased;
the new product tops the list.
You send a note to the PR department to follow up. Incoming traffic is now converting to sales instead of
frustration, exactly what you want to happen. Your ability to make the most of an unforeseen opportunity
was made possible by Splunk.
Your next step is to make sure that you have enough of that product in stock, a great problem to have.
4. Approaching Splunk
cleverdata.ru | info@cleverdata.ru
As you use Splunk to answer questions, you’ll find that you can
break the task into three phases:
• First, identify the data that can answer your question.
• Second, transform the data into the results that can answer
your question.
• Third, display the answer in a report, interactive chart, or graph
to make it intelligible to a wide range of audiences.
Begin with the questions you want to answer:
• Why did that system fail?
• Why is it so slow lately?
• Where are people having trouble with our web- site?
• How many purchases?
• What is conversion?
• What are TOP/FLOP products?
• And many others questions
5. Splunk: The Company and the Concept
In 2002, Erik Swan and Rob Das started talking to companies about their
problems. They asked prospective customers, “How do you solve problems in
your infrastructure?”
These practitioners told Splunk’s founders that solving infrastructure problems
was like slowly crawling around in caves (their datacenters) with pickaxes, poor
lighting, and limited navigational power (old scripts and log management
technologies). In short, it was like spelunking—and so, the name “Splunk” was
born.
“Why couldn’t searching IT data be as easy and intuitive as a GoogleTM search?”
cleverdata.ru | info@cleverdata.ru
6. How Splunk Mastered Machine Data in the Datacenter
• Creating a central repository is vital: One of the major victories of Splunk is the way
that diverse types of data from many different sources are centralized for searching.
• Splunk converts data into answers: Splunk helps you find the in- sights that are buried
cleverdata.ru | info@cleverdata.ru
in the data.
• Splunk helps you understand the structure and meaning of data: The more you
understand your data, the more you’ll see in it. Splunk also helps you capture what you
learn to make future investigations easier and to share what you’ve learned with
others.
• Visualization closes the loop: All that indexing and searching pays off when you see a
chart or a report that makes an answer crystal clear. Being able to visualize data in
different ways accelerates understanding and helps you share that understanding with
others.
7. Operational Intelligence
Splunk has been at the forefront of raising awareness about operational intelligence, a new category of methods and
technology for using machine data to gain visibility into the business and discover insights for IT and the entire
enterprise.
Operational intelligence enables organizations to:
• Use machine data to gain a deeper understanding of their customers: For example, if you just track
transactions on a website, you see what people bought. But by looking closely at the web server logs you can
see all the pages they looked at before they purchased, and, perhaps even more important for the bottom
line, you can see the pages that the people who didn’t buy looked at. (Remember our new product search
example from the intro?)
• Reveal important patterns and analytics derived from correlating events from many sources: When you can
track indicators of consumer behavior from websites, call detail records, social media, and in-store retail
transactions, a far more complete picture of the customer emerges. As more and more customer interactions
show up in machine data, more can be learned.
• Reduce the time between an important event and its detection: Machine data can be monitored and
cleverdata.ru | info@cleverdata.ru
correlated in real time.
• Leverage live feeds and historical data to make sense of what is happening now, to find trends and
anomalies, and to make more informed decisions based on that information: For example, the traffic created
by a web promotion can be measured in real time and compared with previous promotions.
• Deploy a solution quickly and deliver the flexibility needed by organizations today and in the future—that
is, the ability to provide ad hoc reports, answer questions, and add new data sources: Splunk data can be
presented in traditional dashboards that allow users to explore the events and keep asking new questions.
8. Operational Intelligence at Work
Using machine data in Splunk helps solve vexing business problems. Here are a few examples:
• An operations team implemented a cloud-delivered customer-facing application and used Splunk for
diagnostics. They soon realized they could track user statistics and better plan capacity—a metric with
profound business implications.
• Web server traffic logs can be used to track shopping carts being filled and abandoned in real time. The
marketing department can use this information to determine where consumers are getting stuck and what
types of purchases are being abandoned so that any problems can be fixed right away and promotions can
target items that are abandoned.
• Organizations using Splunk to monitor applications for troubleshooting have realized that they can easily
provide views to their first-line support team to handle customer calls directly, versus escalating those calls to
expensive engineering resources.
• A major utility company was able to eliminate costly software maintenance fees by replacing six other
monitoring and diagnostic tools with Splunk, while enhancing their NERC and SOX compliance efforts.
• A major public media organization reduced the time it took to capture critical web analytics from months to
hours. They were also able to track their digital assets with a granularity and accuracy that they couldn’t have
otherwise, resulting in better royalty accounting and content marketing.
• A taco fast-food restaurant connected its points of sale (POS) to Splunk, and within an hour, business analysts
were able to begin answering questions like, “How many people are buying tacos in the midnight-to-2 AM
period, in this geography, during this time of the year?”
Operational intelligence enables organizations to ask the right questions, leading to answers that deliver
business insights, using combinations of real-time and historical data, displayed in easily digestible dashboards
and graphical tools.
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9. Machine Data Basics
Splunk> mission is to make machine data useful for people.
Systems (such as web servers or load balancers or video games or social media platforms) write to log files when they
are running. This information (the machine data in the log files can use to understand what those systems are doing
as they run (or fail to run).
The universe covered by machine data is much more than log files—it includes data from configuration, clickstreams,
change events, diagnostics, APIs, message queues, and custom applications.
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Some types of machine data:
• Applications Logs
• Web Access Logs
• Web Proxy Logs
• Call Detail Record (CDR)
• Clickstream data
• Message Queue
• Packet Data
• Configuration Files
• Firewall and IDS logs
• Database Audit Logs and Tables
• File System Audit Logs
• Management and Logging APIs
• OS Metrics, Status, and Diagnostic Commands
• Logs from DNS, DHCP, and other network services record
• Syslogs from your routers, switches, and network
• OS logs
• Tweets
11. Splunk Data Sources
During indexing, Splunk can read machine data from any number of sources. The most
common input sources are:
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• files: Splunk can monitor
specific files or directories. If
data is added to a file or a new
file is added to a monitored
directory, Splunk reads that
data.
• the network: Splunk can listen
on TCP or UDP ports, reading
any data sent.
• scripted inputs: Splunk can
read the machine data output
by pro- grams or scripts, such
as a Unix® command or a
custom script that monitors
sensors.
• apps
13. Splunk indexes raw data by creating a time-based map of the words in the data without
modifying the data itself by dividing a stream of machine data into individual events.
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Each event has at leas 4 default fields:
Understanding How Splunk Indexes Data
19. Why Splunk fast?
The typical components of a Splunk deployment are made up of the following (all of
which can exist on a single machine):
• Search Head: The web service you login to through your browser and submit searches,
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view dashboards, etc.
• Indexer: Does initial parsing of event data and stores it to disk
• Forwarder: Gathers the event data and delivers it to an Indexer
When a search is submitted by a user, the search head submits that search to each indexer
individually and they run in parallel (distributed).
A “map” function grabbing data in parallel execution fashion.
sourcetype=syslog src_ip=192.168.1.1 | chart count by host
The map function = “sourcetype=syslog src_ip=192.168.1.1”
The reduce function = “chart count by host”
Splunk is unique because it built a framework around MapReduce and setup a very handy
search language that easily and directly gets translated into a MapReduce job.
20. Splunk Architecture
• Scales to TBs/day and Thousands of Users
• Automatic load balancing linearly scales indexing
• Distributed search and MapReduce linearly scales search and reporting
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21. Scaling and High Availability
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The functionality of Splunk can be roughly broken
down into three basic areas:
• Search Head: The web service you login to
through your browser and submit searches,
view dashboards, etc.
• Indexer: Does initial parsing of event data and
stores it to disk
• Forwarder: Gathers the event data and delivers
it to an Indexer
Splunk can scale them individually.
Clustering Splunk indexers is the way to achieve
high availability. The coordination of the
replication, failure, and other clustering specific
items is done by a cluster master.
Editor's Notes
Machine-generated data has long been used in the data center by IT professionals but has only recently been recognized as a new source for helping other departments. Sometimes called IT data or operational data, machine data is all of the data generated by applications, servers, network devices, security devices, and other systems in your business. The universe covered by machine data is much more than log files—it includes data from configuration, clickstreams, change events, diagnos- tics, APIs, message queues, and custom applications. This data is rigidly structured, time-series based, and high-volume. It’s generated by almost every component in IT, and its formats and sources vary widely. Thou- sands of distinct log formats, many from custom applications, are critical to diagnosing service problems, detecting sophisticated security threats, and demonstrating compliance. And with the explosion of connected de- vices, the sheer amount of information being created by machines of all kinds—GPS devices, RFID tags, mobile phones, utility equipment, and so on—is expanding more quickly than our ability to process and use it.
The value of machine data is not news to IT professionals; they have used it for years. Increasingly, users of Splunk find that it can also help shed light on business issues. Machine data is most often stored in large files, and before Splunk, it would lie around dormant until problems arose and these files had to be manually inspected. With Splunk these files are indexed and useable.
Business users are used to dealing with data generated by people par- ticipating in business processes. Most often this transactional data, as it’s called, is stored in one of two forms.