Using log analytics provides organizations with powerful and necessary capabilities for IT security. By analyzing log data, you can drive critical business outcomes, such as identifying security threats or opportunities to build new products. Log analytics also helps improve business efficiency, application, infrastructure, and uptime. In the second edition of this report, data architects and IT infrastructure leads will learn how to get up to speed on log data, log analytics, and log management. Log data, the list of recorded events from software and hardware, typically includes the IP address, time of event, date of event, and more. You'll explore how proactively planned data storage and delivery extends enterprise IT capabilities critical to security analytics deployments. Explore what log analytics is--and why log data is so vital Learn how log analytics helps organizations achieve better business outcomes Use log analytics to address specific business problems Examine the current state of log analytics, including common issues Make the right storage deployments for log analytics use cases Understand how log analytics will evolve in the future With this in-depth report, you'll be able to identify the points your organization needs to consider to achieve successful business outcomes from your log data.

Learning RSLogix 5000 Programming helps you master the features of Studio 5000 and the Logix platform for developing advanced PLC-based automation solutions. You will learn how to apply efficient industrial automation programming techniques and discover how to implement cybersecurity best practices on Rockwell Automation systems. What this Book will help me do Gain comprehensive knowledge of Rockwell Automation's Logix platform, including ControlLogix and CompactLogix systems. Learn to program using Ladder Diagram, Function Block Diagram, Structured Text, and Sequential Function Chart in Studio 5000. Understand and configure Rockwell Automation industrial networking and communication protocols. Design and implement secure automation projects following cybersecurity best practices. Develop practical skills by creating advanced projects like a robot bartender control system. Author(s) Austin Scott is an experienced automation engineer with a passion for teaching advanced PLC programming. With years of experience working on Rockwell Automation technologies, Austin provides clear and thorough instructions to help readers develop robust PLC solutions efficiently. He brings practical insights and real-world applications to his expertly crafted guides. Who is it for? This book is ideal for PLC programmers, electricians, and automation professionals seeking to learn or enhance their skills using RSLogix 5000 and Studio 5000. If you have basic PLC knowledge but are new to Rockwell Automation software, this book will guide you step-by-step in mastering these tools. It is also valuable for those seeking to quickly gain expertise in troubleshooting and secure programming within industrial automation.

If enabled, logging captures almost every system process, event, or message in your software or hardware. But once you have all that data, what do you do with it? This report shows you how to use log analytics—the process of gathering, correlating, and analyzing that information—to drive critical business insights and outcomes. Drawing on real-world use cases, Matt Gillespie outlines the opportunities for log analytics and the challenges you may face—along with approaches for meeting them. Data architects and IT and infrastructure leads will learn the mechanics of log analytics and key architectural considerations for data storage. The report also offers nine key guideposts that will help you plan and design your own solutions to obtain the full value from your log data. Learn the current state of log analytics and common challenges See how log analytics is helping organizations achieve better business outcomes in areas such as cybersecurity, IT operations, and industrial automation Explore tools for log analytics, including Splunk, the Elastic stack, and Sumo Logic Understand the role storage plays in ensuring successful outcomes

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Dive into "Learning RSLogix 5000 Programming" and gain comprehensive insights into the RSLogix 5000 and Studio 5000 environments for Rockwell Automation controllers. By the end of this book, you'll master the essentials of programming ControlLogix, CompactLogix, SoftLogix, and designing advanced function block diagrams and sequential routines. What this Book will help me do Learn to program Rockwell Automation controllers using RSLogix 5000 and Studio 5000. Understand the features and functionalities of ControlLogix and CompactLogix platforms. Explore advanced programming techniques such as ladder logic, function block diagrams, and structured text. Familiarize yourself with the latest changes introduced in Studio 5000 and Logix Designer. Gain confidence in troubleshooting, industrial network communication, and automation system application design. Author(s) Austin Scott, a seasoned automation expert, has vast experience working with industrial control systems and Rockwell Automation technologies. His teaching methods focus on practical application and easy comprehension, making technical concepts accessible to beginners and professionals alike. Who is it for? Ideal for PLC programmers, electricians, and automation specialists aiming to enhance their skills with RSLogix 5000. Beginners with basic PLC knowledge will find the step-by-step approach convenient for mastering advanced tools. Aspiring professionals can use this resource to build foundational and advanced programming expertise.

"Apache Flume: Distributed Log Collection for Hadoop - Second Edition" is your hands-on guide to learning how to use Apache Flume to reliably collect and move logs and data streams into your Hadoop ecosystem. Through practical examples and real-world scenarios, this book will help you master the setup, configuration, and optimization of Flume for various data ingestion use cases. What this Book will help me do Understand the key concepts and architecture behind Apache Flume to build reliable and scalable data ingestion systems. Set up Flume agents to collect and transfer data into the Hadoop File System (HDFS) or other storage solutions effectively. Learn stream data processing techniques, such as filtering, transforming, and enriching data during transit to improve data usability. Integrate Flume with other tools like Elasticsearch and Solr to enhance analytics and search capabilities. Implement monitoring and troubleshooting workflows to maintain healthy and optimized Flume data pipelines. Author(s) Steven Hoffman, a seasoned software developer and data engineer, brings years of practical experience working with big data technologies to this book. He has a strong background in distributed systems and big data solutions, having implemented enterprise-scale analytics projects. Through clear and approachable writing, he aims to empower readers to successfully deploy reliable data pipelines using Apache Flume. Who is it for? This book is written for Hadoop developers, data engineers, and IT professionals who seek to build robust pipelines for streaming data into Hadoop environments. It is ideal for readers who have a basic understanding of Hadoop and HDFS but are new to Apache Flume. If you are looking to enhance your analytics capabilities by efficiently ingesting, routing, and processing streaming data, this book is for you. Beginners as well as experienced engineers looking to dive deeper into Flume will find it insightful.

Why a book about logs? That’s easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don’t think much about them, this short book shows you why logs are worthy of your attention. Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs work in distributed systems, and then delivers practical applications of these concepts in a variety of common uses—data integration, enterprise architecture, real-time stream processing, data system design, and abstract computing models. Go ahead and take the plunge with logs; you’re going love them. Learn how logs are used for programmatic access in databases and distributed systems Discover solutions to the huge data integration problem when more data of more varieties meet more systems Understand why logs are at the heart of real-time stream processing Learn the role of a log in the internals of online data systems Explore how Jay Kreps applies these ideas to his own work on data infrastructure systems at LinkedIn

How can you get your data from frontend servers to Hadoop in near real time? With this complete reference guide, you’ll learn Flume’s rich set of features for collecting, aggregating, and writing large amounts of streaming data to the Hadoop Distributed File System (HDFS), Apache HBase, SolrCloud, Elastic Search, and other systems. Using Flume shows operations engineers how to configure, deploy, and monitor a Flume cluster, and teaches developers how to write Flume plugins and custom components for their specific use-cases. You’ll learn about Flume’s design and implementation, as well as various features that make it highly scalable, flexible, and reliable. Code examples and exercises are available on GitHub. Learn how Flume provides a steady rate of flow by acting as a buffer between data producers and consumers Dive into key Flume components, including sources that accept data and sinks that write and deliver it Write custom plugins to customize the way Flume receives, modifies, formats, and writes data Explore APIs for sending data to Flume agents from your own applications Plan and deploy Flume in a scalable and flexible way—and monitor your cluster once it’s running

Apache Flume: Distributed Log Collection for Hadoop is a focused guide for users looking to efficiently collect and transport log data into systems like Hadoop using Apache Flume. Its step-by-step approach covers the installation, configuration, and customization of Flume to optimize your data ingestion workflows. What this Book will help me do Effectively install and set up Apache Flume for your data ingestion processes. Understand Flume's architecture and capabilities, including sources, channels, and sinks. Learn to configure reliable data flow paths using failover and load-balancing techniques. Implement data routing and transformations during data flow using Flume. Optimize and monitor your Flume operations to enhance reliability and performance. Author(s) The authors of this book are experienced software engineers and data administrators with deep knowledge and practical expertise in implementing distributed log collection systems. Their teaching approach combines clear explanation with actionable examples to give you a hands-on learning experience. Who is it for? This book is ideal for software engineers, data engineers, and system administrators involved in handling and transporting datasets, especially those with a focus on Hadoop. If you are seeking to understand or optimize Apache Flume for your data processing pipeline, this book will guide you from beginner-friendly setup to advanced customization, helping to enhance your workflows.

Logging and Log Management: The Authoritative Guide to Understanding the Concepts Surrounding Logging and Log Management introduces information technology professionals to the basic concepts of logging and log management. It provides tools and techniques to analyze log data and detect malicious activity. The book consists of 22 chapters that cover the basics of log data; log data sources; log storage technologies; a case study on how syslog-ng is deployed in a real environment for log collection; covert logging; planning and preparing for the analysis log data; simple analysis techniques; and tools and techniques for reviewing logs for potential problems. The book also discusses statistical analysis; log data mining; visualizing log data; logging laws and logging mistakes; open source and commercial toolsets for log data collection and analysis; log management procedures; and attacks against logging systems. In addition, the book addresses logging for programmers; logging and compliance with regulations and policies; planning for log analysis system deployment; cloud logging; and the future of log standards, logging, and log analysis. This book was written for anyone interested in learning more about logging and log management. These include systems administrators, junior security engineers, application developers, and managers. Comprehensive coverage of log management including analysis, visualization, reporting and more Includes information on different uses for logs -- from system operations to regulatory compliance Features case Studies on syslog-ng and actual real-world situations where logs came in handy in incident response Provides practical guidance in the areas of report, log analysis system selection, planning a log analysis system and log data normalization and correlation

Log4j has been around for a while now, and it seems like so many applications use it. I've used it in my applications for years now, and I'll bet you have too. But every time I need to do something with log4j I've never done before I find myself searching for examples of how to do whatever that is, and I don't usually have much luck. I believe the reason for this is that there is a not a great deal of useful information about log4j, either in print or on the Internet. The information is too simple to be of real-world use, too complicated to be distilled quickly (which is what most developers want) and/or not very well written and hard to understand. The purpose of this Short Cut is to hit the "sweet spot" that no other works currently do: the right balance between simplicity and useful information. The code for this Short Cut is available at the code example repository .

In development scenarios where things can't be run in a debugger, or when you run the risk of masking the problem, logs are the greatest source of information about running a program. Pro Apache Log4j, Second Edition provides best practices guidelines and comprehensive coverage of the most recent release. Step by step, the book explains core concepts, from basic to advanced. Code samples are in Java and include guidelines for different application-specific needs. You’ll also learn how to extend the API to write custom components and best practices for using the feature-rich log4j API. This book concludes with enterprise Java applications using log4j with JSP and J2EE.

Special Edition Using Crystal Reports 10 is a reference guide designed to provide hands-on experience with the latest release of the product suite. The latest version of the Crystal Reporting Suite, delivers vast enhancements that drive upgrades from licensees who'll seek a reference to help them migrate. As Crystal Decisions insiders, the authors bring unique and valuable real-world perspectives on implementations and use of the Crystal Reports product. The book includes content, tutorials and samples for reporting within the Microsoft Visual Studio.NET environment and on the SAP Business Information Warehouse. New content on report distribution, and integration into the secured managed reporting solution known as Crystal Enterprise, is also now included in this definitive user guide.