Building Splunk Solutions Conf2015 Edition

This guide follows a Splunk software engineering team on a journey to build solutions with partners, focusing on the real world use cases to showcase various technologies of the Splunk Developer Platform. Like a documentary, it captures our story from envisioning and user experience prototyping to development, packaging and multiple production deployments. It includes the diverse perspectives of developers and testers, administrators and product owners, security experts and release engineers. As on any real journey, we make mistakes, have arguments, and change our minds along the way. So in addition to showing you how best to do things, we highlight the pitfalls and issues that we encounter, and the solutions we find.The key element of this guidance, of course, is the code. We've made the code repos open, and recommend you study the source code of the reference apps and the associated tests. In fact, you can see and replay the code in motion, as it was developed. We encourage you to reuse and learn from it.

This guide follows a Splunk software engineering team on a journey to build solutions with partners, focusing on the real world use cases to showcase various technologies of the Splunk Developer Platform. Like a documentary, it captures our story from envisioning and user experience prototyping to development, packaging and multiple production deployments. It includes the diverse perspectives of developers and testers, administrators and product owners, security experts and release engineers. As on any real journey, we make mistakes, have arguments, and change our minds along the way. So in addition to showing you how best to do things, we highlight the pitfalls and issues that we encounter, and the solutions we find. The key element of this guidance, of course, is the code. We've made the code repos open, and recommend you study the source code of the reference apps and the associated tests. In fact, you can see and replay the code in motion, as it was developed. We encourage you to reuse and learn from it.

This guide follows a Splunk software engineering team on a journey to build solutions with partners, focusing on the real world use cases to showcase various technologies of the Splunk Developer Platform. Like a documentary, it captures our story from envisioning and user experience prototyping to development, packaging and multiple production deployments. It includes the diverse perspectives of developers and testers, administrators and product owners, security experts and release engineers. As on any real journey, we make mistakes, have arguments, and change our minds along the way. So in addition to showing you how best to do things, we highlight the pitfalls and issues that we encounter, and the solutions we find.The key element of this guidance, of course, is the code. We've made the code repos open, and recommend you study the source code of the reference apps and the associated tests. In fact, you can see and replay the code in motion, as it was developed. We encourage you to reuse and learn from it.The second edition is expanded with 10 new chapters, including 3 new ones in the Journey covering OAuth, alerting and high performance HTTP Event Collector. Additionally we include a new section - the Essentials where we've generalized the lessons learned from this Journey and other development projects into fundamental patterns and practices. We still cover the full spectrum of application development from getting data into Splunk Enterprise to packaging and distributing your app. Each topic combines design and implementation guidelines in a way that supports an iterativedevelopment process. These guidelines cover not only Splunk Enterprise operational and programming concepts that the application deals with directly, but also consider performance, quality, and maintenance issues in recommending particular approaches.

Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guide About This Book This is the most up-to-date book on Splunk 6.3 for developers Get ahead of being just a Splunk user and start creating custom Splunk applications as per your needs Your one-stop-solution to Splunk application development Who This Book Is For This book is for those who have some familiarity with Splunk and now want to learn how to develop an efficient Splunk application. Previous experience with Splunk, writing searches, and designing basic dashboards is expected. What You Will Learn Implement a Modular Input and a custom D3 data visualization Create a directory structure and set view permissions Create a search view and a dashboard view using advanced XML modules Enhance your application using eventtypes, tags, and macros Package a Splunk application using best practices Publish a Splunk application to the Splunk community In Detail Splunk provides a platform that allows you to search data stored on a machine, analyze it, and visualize the analyzed data to make informed decisions. The adoption of Splunk in enterprises is huge, and it has a wide range of customers right from Adobe to Dominos. Using the Splunk platform as a user is one thing, but customizing this platform and creating applications specific to your needs takes more than basic knowledge of the platform. This book will dive into developing Splunk applications that cater to your needs of making sense of data and will let you visualize this data with the help of stunning dashboards. This book includes everything on developing a full-fledged Splunk application right from designing to implementing to publishing. We will design the fundamentals to build a Splunk application and then move on to creating one. During the course of the book, we will cover application data, objects, permissions, and more. After this, we will show you how to enhance the application, including branding, workflows, and enriched data. Views, dashboards, and web frameworks are also covered. This book will showcase everything new in the latest version of Splunk including the latest data models, alert actions, XML forms, various dashboard enhancements, and visualization options (with D3). Finally, we take a look at the latest Splunk cloud applications, advanced integrations, and development as per the latest release. Style and approach This book is an easy-to-follow guide with lots of tips and tricks to help you master all the concepts necessary to develop and deploy your Splunk applications.

Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guideAbout This Book• This is the most up-to-date book on Splunk 6.3 for developers• Get ahead of being just a Splunk user and start creating custom Splunk applications as per your needs• Your one-stop-solution to Splunk application developmentWho This Book Is ForThis book is for those who have some familiarity with Splunk and now want to learn how to develop an efficient Splunk application. Previous experience with Splunk, writing searches, and designing basic dashboards is expected.What You Will Learn• Implement a Modular Input and a custom D3 data visualization• Create a directory structure and set view permissions• Create a search view and a dashboard view using advanced XML modules• Enhance your application using eventtypes, tags, and macros• Package a Splunk application using best practices• Publish a Splunk application to the Splunk communityIn DetailSplunk provides a platform that allows you to search data stored on a machine, analyze it, and visualize the analyzed data to make informed decisions. The adoption of Splunk in enterprises is huge, and it has a wide range of customers right from Adobe to Dominos. Using the Splunk platform as a user is one thing, but customizing this platform and creating applications specific to your needs takes more than basic knowledge of the platform.This book will dive into developing Splunk applications that cater to your needs of making sense of data and will let you visualize this data with the help of stunning dashboards.This book includes everything on developing a full-fledged Splunk application right from designing to implementing to publishing. We will design the fundamentals to build a Splunk application and then move on to creating one. During the course of the book, we will cover application data, objects, permissions, and more. After this, we will show you how to enhance the application, including branding, workflows, and enriched data. Views, dashboards, and web frameworks are also covered.This book will showcase everything new in the latest version of Splunk including the latest data models, alert actions, XML forms, various dashboard enhancements, and visualization options (with D3). Finally, we take a look at the latest Splunk cloud applications, advanced integrations, and development as per the latest release.Style and approachThis book is an easy-to-follow guide with lots of tips and tricks to help you master all the concepts necessary to develop and deploy your Splunk applications.

NGINX is one of the most widely used web servers available today, in part because of its capabilities as a load balancer and reverse proxy server for HTTP and other network protocols. This cookbook provides easy-to-follow examples to real-world problems in application delivery. The practical recipes will help you set up and use either the open source or commercial offering to solve problems in various use cases. For professionals who understand modern web architectures, such as n-tier or microservice designs, and common web protocols including TCP and HTTP, these recipes provide proven solutions for security, software load balancing, and monitoring and maintaining NGINX’s application delivery platform. You’ll also explore advanced features of both NGINX and NGINX Plus, the free and licensed versions of this server. You’ll find recipes for: High-performance load balancing with HTTP, TCP, and UDP Securing access through encrypted traffic, secure links, HTTP authentication subrequests, and more Deploying NGINX to Google Cloud, AWS, and Azure cloud computing services Setting up and configuring NGINX Controller Installing and configuring the NGINX Plus App Protect module Enabling WAF through Controller ADC

The US security state is everywhere in cultural products: in army-supported news stories, TV shows, and video games; in CIA-influenced blockbusters and comics; and in State Department ads, broadcasts, and websites. Hearts and Mines examines the rise and reach of the US Empire’s culture industry – a nexus between the US’s security state and media firms and the source of cultural products that promote American strategic interests around the world. Building on Herbert I. Schiller’s classic study of US Empire and communications, Tanner Mirrlees interrogates the symbiotic geopolitical and economic relationships between the US state and media firms that drive the production of imperial culture.

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.