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The only way to ensure that deleted files, as well as files that youencrypt with EFS, are safe from recovery is to use a secure deleteapplication. Secure delete applications overwrite a deleted file'son-disk data using techniques that are shown to make disk dataunrecoverable, even using recovery technology that can read patterns inmagnetic media that reveal weakly deleted files. SDelete (SecureDelete) is such an application. You can use SDelete both to securelydelete existing files, as well as to securely erase any file data thatexists in the unallocated portions of a disk (including files that youhave already deleted or encrypted). SDelete implements the Departmentof Defense clearing and sanitizing standard DOD 5220.22-M, to give youconfidence that once deleted with SDelete, your file data is goneforever. Note that SDelete securely deletes file data, but not filenames located in free disk space.
SDelete is a command line utility that takes a number of options. Inany given use, it allows you to delete one or more files and/ordirectories, or to cleanse the free space on a logical disk. SDeleteaccepts wild card characters as part of the directory or file specifier.
Securely deleting a file that has no special attributes is relativelystraight-forward: the secure delete program simply overwrites the filewith the secure delete pattern. What is more tricky is securely deletingWindows NT/2K compressed, encrypted and sparse files, and securelycleansing disk free spaces.
Compressed, encrypted and sparse are managed by NTFS in 16-clusterblocks. If a program writes to an existing portion of such a file NTFSallocates new space on the disk to store the new data and after the newdata has been written, deallocates the clusters previously occupied bythe file. NTFS takes this conservative approach for reasons related todata integrity, and in the case of compressed and sparse files, in casea new allocation is larger than what exists (the new compressed data isbigger than the old compressed data). Thus, overwriting such a file willnot succeed in deleting the file's contents from the disk.
Cleaning free space presents another challenge. Since FAT and NTFSprovide no means for an application to directly address free space,SDelete has one of two options. The first is that it can, like it doesfor compressed, sparse and encrypted files, open the disk for raw accessand overwrite the free space. This approach suffers from a big problem:even if SDelete were coded to be fully capable of calculating the freespace portions of NTFS and FAT drives (something that's not trivial), itwould run the risk of collision with active file operations taking placeon the system. For example, say SDelete determines that a cluster isfree, and just at that moment the file system driver (FAT, NTFS) decidesto allocate the cluster for a file that another application ismodifying. The file system driver writes the new data to the cluster,and then SDelete comes along and overwrites the freshly written data:the file's new data is gone. The problem is even worse if the cluster isallocated for file system metadata since SDelete will corrupt the filesystem's on-disk structures.
The second approach, and the one SDelete takes, is to indirectlyoverwrite free space. First, SDelete allocates the largest file itcan. SDelete does this using non-cached file I/O so that the contentsof the NT file system cache will not be thrown out and replaced withuseless data associated with SDelete's space-hogging file. Becausenon-cached file I/O must be sector (512-byte) aligned, there might besome leftover space that isn't allocated for the SDelete file evenwhen SDelete cannot further grow the file. To grab any remaining spaceSDelete next allocates the largest cached file it can. For both ofthese files SDelete performs a secure overwrite, ensuring that all thedisk space that was previously free becomes securely cleansed.
On NTFS drives SDelete's job isn't necessarily through after itallocates and overwrites the two files. SDelete must also fill anyexisting free portions of the NTFS MFT (Master File Table) with filesthat fit within an MFT record. An MFT record is typically 1KB in size,and every file or directory on a disk requires at least one MFT record.Small files are stored entirely within their MFT record, while filesthat don't fit within a record are allocated clusters outside the MFT.All SDelete has to do to take care of the free MFT space is allocatethe largest file it can - when the file occupies all the available spacein an MFT Record NTFS will prevent the file from getting larger, sincethere are no free clusters left on the disk (they are being held by thetwo files SDelete previously allocated). SDelete then repeats theprocess. When SDelete can no longer even create a new file, it knowsthat all the previously free records in the MFT have been completelyfilled with securely overwritten files.
The reason that SDelete does not securely delete file names whencleaning disk free space is that deleting them would require directmanipulation of directory structures. Directory structures can have freespace containing deleted file names, but the free directory space is notavailable for allocation to other files. Hence, SDelete has no way ofallocating this free space so that it can securely overwrite it.
Even though this is the recommended pattern, there is a caveat to be aware of.Because the downloading and initializing of the agent happens asynchronously,distributed tracing will not work for requests that occur before the agent is initialized.
Please download the latest version of RUM agent from GitHub orUNPKGand host the file in your Server/CDN before deploying to production. Remember touse a proper versioning scheme and set a far future max-age and immutablein the cache-controlheader, as the file never changes.
The Dynatrace RUM JavaScript for your application is downloaded along with all other web page resources. You can confirm that the download was successful using the development tools available in your browser (for example, DevTools in Chrome) or with a tool like Fiddler.
The documentation set for this product strives to use bias-free language. For the purposes of this documentation set, bias-free is defined as language that does not imply discrimination based on age, disability, gender, racial identity, ethnic identity, sexual orientation, socioeconomic status, and intersectionality. Exceptions may be present in the documentation due to language that is hardcoded in the user interfaces of the product software, language used based on RFP documentation, or language that is used by a referenced third-party product. Learn more about how Cisco is using Inclusive Language.
The CSLU mode is the default Transport Mode on the factory shipped devices that run 17.3.2 or later. Also, if you migrate from Eval/Eval expired licenses, the transport mode after you move to SLP is CSLU. In CSLU-based Topology, the CSLU sits in between the PI and CSSM. CSLU avoids users not to have direct network connectivity to Cisco Cloud - CSSM. CSLU can run locally on a private network and download usage reports from all the associated PIs. The Usage Reports are locally saved on the Windows PC before they are sent to the CSSM through the internet. CSLU is a lightweight tool. You can only see the list of PIs associated with it and it can be identified with the use of UDIs. CSLU cannot display or contain the Redundancy Information of PI or License Levels or License Usage.
CSLU tool is installed and operated on Windows 10 machines. The software is available in the CCO to download and for usage free of cost. Once the tool is installed, the Quick Start Guide/User Manual can be downloaded from the Help Menu, navigate to Help > Download Help Manual.
CSLU can operate in disconnected mode from CSSM. This is for any deployments that do not allow the CSLU to be connected to the internet. In the disconnected mode, the reports of all the devices are downloaded manually from CSLU and uploaded to CSSM. In turn, ACK messages are downloaded from CSSM and uploaded to CSLU. CSLU still continues to PULL/PUSH usage dates from PIs and also sends back the ACK message to PI.
Once you have deployed the Adobe apps on client machines, you want the subsequent updates for the packages to be available on the client machines. You can create an update package and deploy it manually on the client machines.Instead of deploying the updates manually, you can use RUM. It polls Adobe Update server or the local Adobe Update Server if set up using the Adobe Update Server Setup Tool (AUSST). RUM deploys the latest updates available on update server to each client machine on which it is run. You need not manually push updates to the client machines.The default setting when creating a package from the Admin Console is to have the Adobe updates turned off. Most enterprise environments do not provide their end users with admin privileges. With the updates turned off, the end users will not see the availability of updates; nor could they apply them if downloaded. RUM can be used to have those updates applied remotely even if updates have been disabled through the Options screen in the package creation workflow.Once you have installed RUM on each client machine, you can run it remotely through command line or from remote management tools.
If you have set up an AUSST server, the updates are downloaded from the Adobe Update Server onto the local update server. When you start RUM, each client machine polls the local update server to get updates.
If you do not want the products/components on client machines to directly download the updates without admin intervention, suppress manual updates while creating the package. For more information, see how to create:
Using RUM, you can also remotely download and install updates on client machines. While passing the command for remote update, you can choose either to download and install the updates in the same or mul