Kevin Schmidt – författare

Simple Network Management Protocol (SNMP) provides a "simple" set of operations that allows you to more easily monitor and manage network devices like routers, switches, servers, printers, and more. The information you can monitor with SNMP is wide-ranging--from standard items, like the amount of traffic flowing into an interface, to far more esoteric items, like the air temperature inside a router. In spite of its name, though, SNMP is not especially simple to learn.

O''Reilly has answered the call for help with a practical introduction that shows how to install, configure, and manage SNMP. Written for network and system administrators, the book introduces the basics of SNMP and then offers a technical background on how to use it effectively. Essential SNMP explores both commercial and open source packages, and elements like OIDs, MIBs, community strings, and traps are covered in depth. The book contains five new chapters and various updates throughout. Other new topics include:

Expanded coverage of SNMPv1, SNMPv2, and SNMPv3Expanded coverage of SNMPcThe concepts behind network management and change managementRRDTool and CricketThe use of scripts for a variety of tasksHow Java can be used to create SNMP applicationsNet-SNMP''s Perl module

The bulk of the book is devoted to discussing, with real examples, how to use SNMP for system and network administration tasks. Administrators will come away with ideas for writing scripts to help them manage their networks, create managed objects, and extend the operation of SNMP agents.

Once demystified, SNMP is much more accessible. If you''re looking for a way to more easily manage your network, look no further than Essential SNMP, 2nd Edition.

Although you don't need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you'll learn how to assemble the building blocks necessary to solve your biggest data analysis problems. Get an overview of the AWS and Apache software tools used in large-scale data analysis Go through the process of executing a Job Flow with a simple log analyzer Discover useful MapReduce patterns for filtering and analyzing data sets Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow Learn the basics for using Amazon EMR to run machine learning algorithms Develop a project cost model for using Amazon EMR and other AWS tools

Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS).

Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you’ll learn how to assemble the building blocks necessary to solve your biggest data analysis problems.

Get an overview of the AWS and Apache software tools used in large-scale data analysisGo through the process of executing a Job Flow with a simple log analyzerDiscover useful MapReduce patterns for filtering and analyzing data setsUse Apache Hive and Pig instead of Java to build a MapReduce Job FlowLearn the basics for using Amazon EMR to run machine learning algorithmsDevelop a project cost model for using Amazon EMR and other AWS tools

Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS).

Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you’ll learn how to assemble the building blocks necessary to solve your biggest data analysis problems.

Get an overview of the AWS and Apache software tools used in large-scale data analysisGo through the process of executing a Job Flow with a simple log analyzerDiscover useful MapReduce patterns for filtering and analyzing data setsUse Apache Hive and Pig instead of Java to build a MapReduce Job FlowLearn the basics for using Amazon EMR to run machine learning algorithmsDevelop a project cost model for using Amazon EMR and other AWS tools

Things are way to serious these days time to relax and read (and drink beer)! Its not political, religious, or even politically correct. Just plain funny, light-hearted look at a lifetime of rural America. I havent read two books in my life (from cover to cover) nor do I get on the Internet (dont even know how). This book is real stories from rural America, Authors Disclaimer: While you may lose weight reading this book (by laughing your rear end off) it is not a proven weight loss book. Thank you, KevinThis book is defiantly full of it and I loved it. I am still laughingNeil Hohenbrink (rep for Alliance product group) I have seen Kevin in action, these stories are true and very funny even strange, somewhat warped, little bazaar but well worth readingRick Riggs (hazardous material mover, Linde Corp. Murray Hill, NJ) Kevin brings out great humor between city and rural life and I have seen him on stage in his comedy act he is a country hick.Lynn Oldham (A real rural American farmer, Rural USA) Dont forget to take the Cheap Country Hick (C.C.H.) test at the end of the book (e-mail me the results)

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

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

Rural Humor: Slice of Americana... (Life of a Tractor Salesman) by Kevin Schmidt is about a lifetime of rural humor. Dear Readers, things are way too serious these days, time to relax and read! (and drink beer) It’s not Political, Religious or even Politically Correct. Just plain funny, light hearted look at rural America. This book is real stories from rural America. Voted WINNER – “50 Great Writers You Should Be Reading” by TheAuthorsShow.com. About the Author: Kevin Schmidt was born in 1959 in Wyandot Memorial Hospital to Virginia and Richard Schmidt. He has lived in Lovell, Ohio his entire life (other than five years when he was first married). It took him a while to get his wife to move out in the sticks from the big city of Upper Sandusky (pop. 6,000). His family came here and settled from Germany in the 1850’s in Lovell, so he has not moved very far. He has been blessed to work in his family business his entire life. There is nothing better than working with family and farmers. No kidding! Kevin has three wonderful daughters, two good sons-in-law, two good grandchildren, and a wife of twenty-eight-plus years, who deserves a medal for putting up with him. He’s the last person anybody would ever thought would have written a book. Hopefully his different and unique sense of humor, which his wife and daughter think is warped, will come through. He truly believes humor can be found in almost every situation. It is easy to find problems in everything, but look hard and find the humor, and you will be much happier.