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The Library API functions can be executed immediately or in batch In all the previous listings, we passed a function as an argument to the Library callsThis function is used as a callback taking two arguments result and exception holding the function results or failure exception information, respectivelyThe API call is executed immediately, executing the callback when it is done For handling many API calls, it is more efficient to do the calls in batch, sending a single request to Facebook to get all the data at once Up to 20 API calls can be batched at a timeTo batch the calls, you create an instance of a FBBatchSequencer and pass it to all the API calls instead of a callback functionThis adds those calls to the batch sequence, but it doesn t execute themAfter the last call is added to the batch, you call the BatchSequencer s execute functionThe batched calls are executed in parallel on the server, but you can set the BatchSequencer s isParallel property to false if you need to have them run in order Listing 125 shows an example of batching callsA batch sequencer is created and passed to users_isAppUser() and friendsget()These functions return immediately, setting the appUser and friends variables to PendingResult objects by the API calls before the batch operation happensWhen he execute function completes, those PendingResult variables are updated to contain the result and exception information for the corresponding call. In Visual Studio .NET Using Barcode scanner for .Related: Generate Barcode Word SDK, Barcode Generating SSRS ASP.NET , Generate Barcode RDLC how to

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Every NSM practitioner dreams of being able to collect every packet traversing his or her network This may have been possible for a majority of Internet-enabled sites in the mid-1990s, but it's becoming increasingly difficult (or impossible) in the mid-2000s It is possible to buy or build robust servers with fast hard drives and well-engineered network interface cards Collecting all the traffic creates its own problems, however The difficulty shifts from traffic collection to traffic analysis If you can store hundreds of gigabytes of traffic per day, how do you make sense of it This is the same problem that national intelligence agencies face How do you pick out the phone call or e-mail of a terrorist within a sea of billions of conversations Despite these problems, NSM principles recommend collecting as much as you can, regardless of your ability to analyze it Because intruders are smart and unpredictable, you never know what piece of data hidden on a logging server will reveal the compromise of your most critical server You should record as much data as you possibly can, up to the limits created by bandwidth, disk storage, CPU processing power, and local policies, laws, and regulations You should archive that information for as long as you can because you never know when a skilled intruder's presence will be unearthed Organizations that perceive a high level of risk, such as financial institutions, frequently pay hundreds of thousands of dollars to deploy multi-terabyte collection and storage equipment While this is overkill for most organizations, it's still wise to put dedicated hardware to work storing network data Remember that all network traffic collection constitutes wiretapping of one form or another The advantage of collecting as much data as possible is the creation of options Collecting full content data gives the ultimate set of options, like replaying traffic through an enhanced IDS signature set to discover previously overlooked incidents Rich data collections provide material for testing people, policies, and products Network-based data may provide the evidence to put a criminal behind bars NSM's answer to the data collection issue is to not rely on a single tool to detect and escalate intrusions While a protocol analyzer like Ethereal is well suited to interpret a dozen individual packets, it's not the best tool to understand millions of packets Turning to session data or statistics on the sorts of ports and addresses is a better way to identify suspicious activity No scientist studies an elephant by first using an electron microscope! Similarly, while NSM encourages collection of enormous amounts of data, it also recommends the best tool for the job of interpretation and escalation.

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