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ویرایش: 2 سری: ISBN (شابک) : 9781784391607 ناشر: سال نشر: تعداد صفحات: 506 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 9 مگابایت
در صورت تبدیل فایل کتاب Implementing Splunk به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب پیاده سازی Splunk نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
درباره این کتاب جستجو، پیکربندی و استقرار Splunk را در یک یا چند ماشین بیاموزید با مجموعه ای آزمایش شده از مثال های عملی و توصیه های مفید دستورالعمل های گام به گام و مثال هایی با پوشش جامع برای کهنه سربازان Splunk و تازه کارها به سرعت شروع به کار با Splunk کنید. این کتاب برای چه کسی است اگر شما یک تحلیلگر داده با دانش پایه در تجزیه و تحلیل داده های بزرگ هستید، اما دانشی از Splunk ندارید، این کتاب به شما کمک می کند تا با Splunk شروع کنید. این کتاب فرض میکند که شما به نسخهای از Splunk دسترسی دارید، که در حالت ایدهآل در حال تولید نیست، و بسیاری از نمونهها همچنین فرض میکنند که شما حقوق مدیر دارید. آنچه یاد خواهید گرفت داده های خود را با جستجوها و دستورات غنی سازی کنید داده های خود را به گزارش های مفید و زیبا تبدیل کنید داشبوردهایی با ظاهر حرفه ای و آموزنده بسازید مدل های داده و محورهای Splunk چه هستند درباره ویرایشگر محوری، عناصر محوری، فیلترها، Sparklines و موارد دیگر بیاموزید. مدیریت پیکربندی ها از یک تا هزاران نمونه Extend Splunk با اسکریپت ها و پیکربندی پیشرفته ایجاد زمینه هایی از داده های بدون ساختار خود جستجوهای سریع و ناب بنویسید In Detail Splunk نوعی نرم افزار تحلیل و گزارش برای تجزیه و تحلیل داده های بزرگ تولید شده توسط ماشین است. این دادههای بلادرنگ را در یک مخزن قابل جستجو جمعآوری، نمایهسازی و مرتبط میکند که از آن میتواند نمودارها، گزارشها، هشدارها، داشبوردها و تجسمها را تولید کند. هدف آن این است که دادههای ماشین را در سراسر یک سازمان برای اهداف مختلف در دسترس قرار دهد. Implementing Splunk Second Edition یک راهنمای آموزشی است که شما را با آخرین ویژگی ها و پیشرفت های Splunk 6.2 آشنا می کند. کتاب با معرفی مفاهیم مختلفی مانند نمودار، گزارش، خوشه بندی و تجسم شروع می شود. هر فصل به تقویت دانش شما از یک مفهوم خاص، از جمله مدلهای داده و محورها، سرعت بخشیدن به پرسوجوهای شما، پر کردن مجدد، تکرار دادهها و غیره اختصاص دارد. در پایان کتاب، درک بسیار خوبی از Splunk خواهید داشت و می توانید تجزیه و تحلیل داده ها را کارآمد انجام دهید.
About This Book Learn to search, configure, and deploy Splunk on one or more machines Start working with Splunk fast, with a tested set of practical examples and useful advice Step-by-step instructions and examples with comprehensive coverage for Splunk veterans and newbies alike Who This Book Is For If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk, ideally not in production, and many examples also assume you have administrator rights. What You Will Learn Enrich your data with lookups and commands Transform your data into useful and beautiful reports Build professional-looking, informative dashboards Get to know what Splunk data models and pivots are Learn about pivot editor, pivot elements, filters, Sparklines, and more Manage configurations from one to thousands of instances Extend Splunk with scripts and advanced configuration Create fields from your unstructured data Write searches that are fast and lean In Detail Splunk is a type of analysis and reporting software for analyzing machine-generated Big Data. It captures, indexes, and correlates real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards, and visualizations. It aims to make machine data accessible across an organization for a variety of purposes. Implementing Splunk Second Edition is a learning guide that introduces you to all the latest features and improvements of Splunk 6.2. The book starts by introducing you to various concepts such as charting, reporting, clustering, and visualization. Every chapter is dedicated to enhancing your knowledge of a specific concept, including data models and pivots, speeding up your queries, backfilling, data replication, and so on. By the end of the book, you'll have a very good understanding of Splunk and be able to perform efficient data analysis.
Cover Copyright Credits About the Authors About the Reviewers www.PacktPub.com Table of Contents Preface Chapter 1: The Splunk Interface Logging into Splunk The home app The top bar The search & reporting app Data generator The summary view Search Actions Timeline The field picker Fields Search results Options The events viewer Using the time picker Using the field picker The settings section Summary Chapter 2: Understanding Search Using search terms effectively Boolean and grouping operators Clicking to modify your search Event segmentation Field widgets Time Using fields to search Using the field picker Using wildcards efficiently Supplementing wildcards in fields All about time How Splunk parses time How Splunk stores time How Splunk displays time How time zones are determined and why it matters Different ways to search against time Presets Relative Real-time Date range Date and time range Advanced Specifying time in-line in your search _indextime versus _time Making searches faster Sharing results with others The URL Save as report Save as dashboard panel Save as alert Save as event type Search job settings Saving searches for reuse Creating alerts from searches Enable actions Action options Sharing Summary Chapter 3: Tables, Charts, and Fields About the pipe symbol Using top to show common field values Controlling the output of top Using stats to aggregate values Using chart to turn data Using timechart to show values over time The timechart options Working with fields A regular expression primer Commands that create fields eval rex Extracting loglevel Using the extract fields interface Using rex to prototype a field Using the admin interface to build a field Indexed fields versus extracted fields Summary Chapter 4: Data Models and Pivots What is a data model? What does a data model search? Data model objects Object constraining Attributes Creating a data model Filling in the new data model dialog Editing attributes Lookup attributes Children What is a pivot? The pivot editor Working with pivot elements Filtering your pivots Split (row or column) Column values Pivot table formatting A quick example Sparklines Summary Chapter 5: Simple XML Dashboards The purpose of dashboards Using wizards to build dashboards Adding another panel A cool trick Converting the panel to a report More options Back to the dashboard Add input Edit source Editing XML directly UI examples app Building forms Creating a form from a dashboard Driving multiple panels from one form Post-processing search results Post-processing limitations Features replaced Autorun dashboard Scheduling the generation of dashboards Summary Chapter 6: Advanced Search Examples Using subsearches to find loosely related events Subsearch Subsearch caveats Nested subsearches Using transaction Using transaction to determine the session's length Calculating the aggregate of transaction statistics Combining subsearches with transaction Determining concurrency Using transaction with concurrency Using concurrency to estimate server load Calculating concurrency with a by clause Calculating events per slice of time Using timechart Calculating average requests per minute Calculating average events per minute, per hour Rebuilding top Acceleration Big data - summary strategy Report acceleration Report acceleration availability Summary Chapter 7: Extending Search Using tags to simplify search Using event types to categorize results Using lookups to enrich data Defining a lookup table file Defining a lookup definition Defining an automatic lookup Troubleshooting lookups Using macros to reuse logic Creating a simple macro Creating a macro with arguments Creating workflow actions Running a new search using values from an event Linking to an external site Building a workflow action to show field context Building the context workflow action Building the context macro Using external commands Extracting values from XML xmlkv XPath Using Google to generate results Summary Chapter 8: Working with Apps Defining an app Included apps Installing apps Installing apps from Splunkbase Using Geo Location Lookup Script Using Google Maps Installing apps from a file Building your first app Editing navigation Customizing the appearance of your app Customizing the launcher icon Using custom CSS Using custom HTML Custom HTML in a simple dashboard Using server-side include in a complex dashboard Object permissions How permissions affect navigation How permissions affect other objects Correcting permission problems The app directory structure Adding your app to Splunkbase Preparing your app Confirming sharing settings Cleaning up our directories Packaging your app Uploading your app Summary Chapter 9: Building Advanced Dashboards Reasons for working with advanced XML Reasons for not working with advanced XML Development process The advanced XML structure Converting simple XML to advanced XML Module logic flow Understanding layoutPanel Panel placement Reusing a query Using intentions stringreplace addterm Creating a custom drilldown Building a drilldown to a custom query Building a drilldown to another panel Building a drilldown to multiple panels using HiddenPostProcess Third-party add-ons Google Maps Sideview Utils The Sideview search module Linking views with Sideview Sideview URLLoader Sideview forms Summary Chapter 10: Summary Indexes and CSV Files Understanding summary indexes Creating a summary index When to use a summary index When not to use a summary index Populating summary indexes with saved searches Using summary index events in a query Using sistats, sitop, and sitimechart How latency affects summary queries How and when to backfill summary data Using fill_summary_index.py to backfill Using collect to produce custom summary indexes Reducing summary index size Using eval and rex to define grouping fields Using a lookup with wildcards Using event types to group results Calculating top for a large time frame Summary index searches Using CSV files to store transient data Pre-populating a dropdown Creating a running calculation for a day Summary Chapter 11: Configuring Splunk Locating Splunk configuration files The structure of a Splunk configuration file The configuration merging logic The merging order The merging order outside of search The merging order when searching The configuration merging logic Configuration merging – example 1 Configuration merging – example 2 Configuration merging – example 3 Configuration merging – example 4 – search Using btool An overview of Splunk .conf files props.conf Common attributes Stanza types Priorities inside a type Attributes with class inputs.conf Common input attributes Files as inputs Network inputs Native Windows inputs Scripts as inputs transforms.conf Creating indexed fields Modifying metadata fields Lookup definitions Using REPORT Chaining transforms Dropping events fields.conf outputs.conf indexes.conf authorize.conf savedsearches.conf times.conf commands.conf web.conf User interface resources Views and navigation Appserver resources Metadata Summary Chapter 12: Advanced Deployments Planning your installation Splunk instance types Splunk forwarders Splunk indexer Splunk search Common data sources Monitoring logs on servers Monitoring logs on a shared drive Consuming logs in batch Receiving syslog events Receiving events directly on the Splunk indexer Using a native syslog receiver Receiving syslog with a Splunk forwarder Consuming logs from a database Using scripts to gather data Sizing indexers Planning redundancy The replication factor Configuring your replication factors Indexer load balancing Understanding typical outages Working with multiple indexes The directory structure of an index When to create more indexes Testing data Differing longevity Differing permissions Using more indexes to increase performance The lifecycle of a bucket Sizing an index Using volumes to manage multiple indexes Deploying the Splunk binary Deploying from a tar file Deploying using msiexec Adding a base configuration Configuring Splunk to launch at boot Using apps to organize configuration Separate configurations by purpose Configuration distribution Using your own deployment system Using the Splunk deployment server Step 1 – deciding where your deployment server will run from Step 2 – defining your deploymentclient.conf configuration Step 3 – defining our machine types and locations Step 4 – normalizing our configurations into apps appropriately Step 5 – mapping these apps to deployment clients in serverclass.conf Step 6 – restarting the deployment server Step 7 – installing deploymentclient.conf Using LDAP for authentication Using Single Sign On Load balancers and Splunk web splunktcp The deployment server Multiple search heads Summary Chapter 13: Extending Splunk Writing a scripted input to gather data Capturing script output with no date Capturing script output as a single event Making a long-running scripted input Using Splunk from the command line Querying Splunk via REST Writing commands When not to write a command When to write a command Configuring commands Adding fields Manipulating data Transforming data Generating data Writing a scripted lookup to enrich data Writing an event renderer Using specific fields A table of fields based on field value Pretty print XML Writing a scripted alert action to process results Hunk Summary Index