Several responses to a question I asked earlier suggested I try Opera kiosk mode, so I decided to download it and give it a try. Once the download had completed and the disk image was being verified. ICoreService is used to register the client to the server. Apple Remote Desktop 3.6.1 is unable to deploy the agent to pure IPv6 computers because these computers always appear as offline. If agent installation is launched twice on a Mac computer using two different user names, the agent icon displays without problems when the first. See real-time CPU, network, or disk status in the Dock. It’s easy to keep an eye on your system status without even looking at the Activity Monitor window—you can monitor your CPU, network, or disk usage as a live graph right in the Dock.
What is a search bot?
A search bot, sometimes called a spider, is a robot that continuously browses the internet, usually for the purpose of building a search index.
Bots can artificially inflate traffic numbers, so it’s important to be aware of their existence.
There also other types of bots used for click fraud. For more information, click here.
Coreservices.com
Search bots and Linkly
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Linkly can detect search bots and spiders that deliberately reveal themselves. You can see which click have been attributed to the bots in the ‘Bots’ section of the traffic report.
Blocking Bots from Following Links
Linkly can block robots and search spiders from following your link.
To block robots and search spiders:
- Click Block bots & spiders.
- Click the checkbox Block robots.
Robots that try to follow this link will be shown a “404 not found”. Traffic will from bots will not be recorded in this case.
Don’t block bots if you intend to share your link on social media. Many bots exist for legitimate purposes (for example, creating previews of links for social media apps) that won’t function if you block them.
List of Search Bots
Below is a list of search bots and their user-agents that Linkly identifies.
- 200pleasebot 200PleaseBot
- 360spider 360Spider
- abot CrawlDaddy, abot
- addthis AddThis
- adldxbot Microsoft Bing Ads
- admantx ADmantX Platform Semantic Analyzer
- adsbot-google Google Adwords
- advbot AdvBot
- ahrefsbot Ahrefs backlinks research tool
- alexa Alexa Crawler
- apache-httpclient Java http library
- apachebench ApacheBench (ab)
- apis-google APIs-Google
- appengine-google Google App Engine
- applebot Apple Bot
- archive.org_bot Internet Archive (archive.org)
- ask jeeves Ask Jeeves
- asynchttpclient Java http and WebSocket client library
- awe.sm Awe.sm URL expander
- baidu Baidu
- bdcbot Big Data Corp
- bingbot Microsoft Bing
- bingpreview Microsoft Bing preview
- bitlybot bit.ly bot
- blekkobot Blekkobot
- blexbot BLEXBot (webmeup)
- [email protected] Linkfluence bot
- bufferbot BufferBot
- buibui-checkbot buibui
- butterfly Topsy Labs
- buzztalk buzztalk
- catchbot CatchBot (catchbot.com)
- check_http Nagios monitor
- cliqzbot Cliqzbot
- cmradar/0.1 CMRadar/0.1
- coldfusion ColdFusion http library
- commoncrawl CCBot
- comodo-webinspector-crawler Comodo
- crowsnest Crowsnest
- curabot cura.yt
- curl curl unix CLI http client
- dap/nethttp DAP/NetHTTP
- datagnionbot datagnion.com/bot.html
- daumoa Korean portal and search engine indexing bot
- developers.google.com/+/web/snippet/ Google Plus
- diffbot Diffbot
- digitalpersona fingerprint software HP Fingerprint scanner
- domain re-animator bot Domain Re-Animator Bot
- domainsbot DomainsBot
- domaintunocrawler DomainTuno
- dotbot Dot Bot
- duckduck Duck Duck Go
- elb-healthchecker AWS ELB HealthChecker
- embedly Embedly
- eoaagent EOAAgent
- eventmachine httpclient Ruby http library
- everyonesocialbot EveryoneSocial
- evrinid Evri bot
- exabot Exalead's bot
- exaleadcloudview ExaleadCloudView
- facebookexternalhit Facebook Bot
- facebot Facebook Bot
- feedburner RSS bot
- feedfetcher-google Google Feedfetcher
- findxbot Findxbot
- flipboardproxy FlipboardProxy
- friendfeedbot FriendFeed
- genieo Genieo Web filter bot
- getprismatic.com getprismatic.com
- gigabot Gigabot spider
- gimme60bot Gimme60 (gimme60.com)
- gimmeusabot Gimme60 (gimme60.com)
- go http package Go http library
- google page speed insights Google Page Speed Insights
- google Web Preview Google Instant Previews crawler
- google-structured-data-testing-tool Google-StructuredDataTestingTool
- google-structureddatatestingtool Google-StructuredDataTestingTool
- googlebot Google Bot
- googlestackdrivermonitoring-uptimechecks GoogleStackdriverMonitoring-UptimeChecks
- grapeshotcrawler GrapeshotCrawler
- gravitybot Gravity Bot
- hatena::bookmark Hatena::Bookmark
- heritrix heritrix
- htmlparser HTMLParser
- http_request2 HTTP_Request2
- httpclient HTTPClient
- https://developers.google.com/+/web/snippet Google+ Snippet Fetcher
- hubspot HubSpot
- ia_archiver Internet Archive (WayBackMachine)
- icoreservice iCoreService
- idmarch idmarch.org/bot.html
- inagist URL resolver
- insieve Insieve Bot
- insitesbot Insitesbot
- instapaper Instapaper
- istellabot IstellaBot
- jack jack
- jakarta commons Jakarta Commons HttpClient
- java Generic Java http library
- jetslide Jetslide
- js-kit URL resolver
- kemvibot Kemvi
- kimengi Kimengi Bot
- knows.is knows.is
- kojitsubot Kojitsubot
- komodiabot KomodiaBot
- kraken kraken
- laconica Laconica
- libwww-perl Perl client-server library
- lijit crawler Lijit
- linkdexbot Linkdex Bot
- linkedinbot LinkedIn
- linkscrawler LinksCrawler
- linode Linode Longview
- lipperhey Lipperhey
- livelapbot Livelapbot
- loadtimebot Load Time Bot
- longurl URL expander service
- ltx71 ltx71.com
- lumibot Lumibot
- lwp-trivial Another Perl library
- magpie-crawler magpie-crawler
- mail.ru_bot Mail.ru Bot
- meanpathbot meanpath
- mediapartners-google Google Adsense bot
- megaindex.ru MegaIndex
- memorybot mignify.com/bot.html
- metauri MetaURI
- mfe_expand Mcafee spider
- mir web crawler MIR web crawler
- mj12bot Majestic-12 spider
- mojeekbot Mojeek UK search crawler
- mrchrome MrChrome
- ms search 6.0 robot MS Search 6.0 Robot
- msnbot-media Microsoft media bot
- msnbot Microsoft bot
- nerdybot NerdyBot
- netcraft Netcraft
- netstate netEstate NE Crawler
- netvibes Personalized dashboard bot
- netzcheckbot netzcheck
- newrelicmonitor NewRelic monitor
- newrelicpinger NewRelicPinger
- newsme newsme
- niki-bot niki-bot
- ning NING - Yet Another Twitter Swarmer
- nutch Apache search spider
- openhosebot OpenHoseBot
- orangebot OrangeBot
- pagesinventory pagesinventory.com
- panopta Monitoring service
- paperlibot PaperLi
- peerindex peerindex
- percolatecrawler PercolateCrawler
- perfectmarketkwtbot PerfectMarket
- phantomjs PhantomJS
- pingdom Pingdom monitoring
- pinterest Pinterest
- plukkie botje.com/plukkie.htm
- privacyawarebot PrivacyAwareBot
- proximic Proximic Spider
- psbot-page Picsearch
- publiclibraryarchive.org publiclibraryarchive.org
- pycurl Python http library
- python-httplib2 Python-httplib2
- python-requests Python http library
- python-urllib Python http library
- queryseeker QuerySeekerSpider
- quicklook QuickLook
- re-animator Domain Re-Animator Bot
- readability Readability
- rebelmouse RebelMouse
- redditbot Reddit Bot
- relateiq RelateIQ
- riddler Riddler Bot
- rogerbot SeoMoz spider
- rssmicro RSS/Atom Feed Robot (rssmicro.com)
- ruby Ruby
- scrapy Scrapy
- screaming frog seo spider Screaming Frog SEO Spider
- searchmetricsbot SearchmetricsBot
- semrushbot SEO analysis bot
- seokicks SEOKicks
- seznambot SeznamBot
- shopwiki ShopWiki
- shortlinktranslate Link shortener
- showyoubot Showyou iOS app spider
- siege Joe Dog Siege
- sistrix SISTRIX
- siteuptime Site monitoring services
- slack Slackbot-LinkExpanding
- slackbot Slack Bot
- slurp Yahoo spider
- smtbot SimilarTech
- socialrank SocialRankIOBot
- sogou Chinese search engine
- spbot OpenLinkProfiler
- spider generic web spider
- spinn3r Spinn3r aggregator
- sputnikbot SputnikBot
- squider Squider
- statuscake StatusCake
- stripe Stripe
- test certificate info C http library?
- tineye TinEye Bot
- traackr Traackr Bot
- trendictionbot Trendiction Search
- turnitinbot TurnitinBot
- tweetedtimes The Tweeted Times
- tweetmemebot TweetMeMe Crawler
- twikle Social web search bot
- twitjobsearch TwitJobSearch
- twitmunin Twitmunin
- twitterbot Twitter URL expander
- twurly Twurly
- typhoeus Typhoeus
- umbot uberMetrics
- unwindfetch Gnip
- uptimerobot Uptime Robot
- vagabondo Vagabondo
- vb project Visual Basic
- vigil Vigil
- vkshare VKontake Sharer
- voilabot VoilaBot
- vrcrawler Venture Radar
- wasalive-bot Wasalive Bots
- watchsumo WatchSumo
- wbsearchbot Ware Bay Best Buys
- webscout Webscout
- wesee WeSEE
- wget wget unix CLI http client
- wordpress WordPress spider
- wormly WormlyBot
- wotbox Wotbox
- xenu link sleuth Xenu Link Sleuth
- xing-contenttabreceiver Xing bot
- xovibot XoviBot
- yacybot YaCy
- yahoo-ad-monitoring Yahoo Ad monitoring
- yandex Yandex
- yeti Naver Corp
- yourls YOURLS
- zelist.ro feed parser
- zibb ZIBB spider
- zitebot Zite
- zyborg Zyborg
The concept of Request-Response service is to have an endpoint with a single function capable to handle a command (a Request) and return a Response, to have a single entry point of our service. There are a lot of architectures around the web based on WCF and this pattern and this old series of post are a really good example on how you can implement it in practice.
The only drawback is that sometimes these architectures are quite complex for the average programmer, at least you can introduce them in a team where everyone is quite familiar with concept of Inversion Of Control, Dependency Injection, etc etc. The risk is that people are scared about the complexity and they start to believe that the benefit of such an architecture does not worth the extra complexity of the code, after all with WCF you can simply create a function on the interface, an implementation on a service class, update service reference and the game is done. On the contrary, some implementations of Request/Response pattern are quite complicated, you need to create a request, then the handler, then configure the IoC engine, etc etc.
Another problem is that one of the key requirement of an architecture is that it is perfectly understood by the whole team, if some members use an architecture without fully comprehension, you are in trouble because you are creating a bottleneck because only some person of the team are capable to modify base architecture or solve bugs. This can lead to a fight between programmer and architecture, because everytime the service does not behave correctly people are puzzled on what happened (maybe the IoC engine is badly configured, maybe some interceptor created error, etc etc)
So I got a request from a team, how much is the minimum code that I need to create a Super Simple Request/Response architecture in WCF, the purpose is verify if it is simple enough to introduce in team unfamiliar with IoC, DI, and with a very basic skill of WCF. This approach is preferable, you can show how simple is to implement such a pattern with a minimum set of functionality, then when the needs of the team start to grow, you can evolve the architecture one step at a time, making it really comprehensible by the whole team because they fully understand the reason of each piece of the game.
The starting point is creating an interface, a concrete implementation and finally two base classes called Request and Response.
Figure 1: Base classes to create a super simple Request/Response sample
As you can see I have a simple ICoreService interface with only a method called Execute, that accepts a Request and return a response. The CoreService concrete class implements the IDisposable interface (more to come) and the execute method. Then I have a basic Request abstract class with an abstract method called Execute(), finally the base Response class has only two property: IsSuccess to inform if the operation completed successfully, and an ErrorCode, to contain an integer code of the error (but you can include more common property if your client needs to know you want in your basic Response class). Here is the code for the base Request class.
The class is really simple, just add the DataContract attribute and the abstract method. Here is the code for the CoreService class. The core concept is that it simply add some infrastructural code (the try catch at the minimum level) and it simply call Execute method that will be implemented by the real request class.
This class implements IDisposable because the ICoreService inherit from IDisposable (I show the reason of this structure in a future post), but the core part is that it simply calls the Execute abstract method of base Response class in a try catch. Now lets see how we can implement an operation to add Two numbers.
As you can see this is really simple, create one class, insert a property for each input parameter and override the Execute method. With such a simple architecture everyone can use it without any fear of “not understanding the big picture”. The only other class you need to create is the MathOperationResult that inherits from Response and add an OperationResult property to return the result of the operation to the caller.
The only other infrastructural class needed to make this code works, is a class that instruct the WCF engine at run-time on all the types that can be used in the contract, called KnownTypes. The ICoreService interface is decorated with a ServiceKnownType attribute that specify the class that is capable to give the list of known types at runtime.
Coreservicesd On Mac
Implementing such a class is really trivial.
In static constructor I scan the current assembly to find all non abstract types that inherits from Request and response and store them in a list, that I return in the GetKnownTypes. This technique is really useful, because you can also scan for all assembly in a directory, so you can load at runtime Requests originally unknown from the original service as a plugin. Thanks to this great flexibility of WCF, you can use WCF infrastructure to handle all serialization issue for you.
The client can simply add a service reference and call the service with this code.
Figure 2: You can add a normal service reference from another project
Here is the call.
Www.coreservicesinc.com
The only drawback of this architecture is a little verbosity in client code, that instead of calling something like Add(12, 32), needs to create the request, cast the response to the right type and verify the success of the operation, but you have the advantage of a single entry point of your service, where you can put all the common logic you want and every person in the team can fully understand what is going on.
Gian Maria.