Does anyone have experience with syslog data and machine learning or deep learning? Is syslog data rich enough to use in machine learning algorithms and gain insights? If so, what insights can be gained for it? Are there tools available currently to make sense of vast volumes of syslog data?
syslog data valuable for machine learning?
809 Views Asked by user7370847 At
1
There are 1 best solutions below
Related Questions in NETWORKING
- Overlapping UICollectionView in storyboard
- Cannot pod spec lint because of undeclared type errors
- Is the transactionReceipt data present in dataWithContentsOfURL?
- UIWebView Screen Fitting Issue
- ZXingObjC encoding issues
- iOS: None of the valid provisioning profiles allowed the specific entitlements
- How to hide "Now playing url" in control center
- CloudKit: Preventing Duplicate Records
- Slow performance on ipad erasing image
- Swift code with multiple NSDateFormatter - optimization
Related Questions in MACHINE-LEARNING
- Overlapping UICollectionView in storyboard
- Cannot pod spec lint because of undeclared type errors
- Is the transactionReceipt data present in dataWithContentsOfURL?
- UIWebView Screen Fitting Issue
- ZXingObjC encoding issues
- iOS: None of the valid provisioning profiles allowed the specific entitlements
- How to hide "Now playing url" in control center
- CloudKit: Preventing Duplicate Records
- Slow performance on ipad erasing image
- Swift code with multiple NSDateFormatter - optimization
Related Questions in DEEP-LEARNING
- Overlapping UICollectionView in storyboard
- Cannot pod spec lint because of undeclared type errors
- Is the transactionReceipt data present in dataWithContentsOfURL?
- UIWebView Screen Fitting Issue
- ZXingObjC encoding issues
- iOS: None of the valid provisioning profiles allowed the specific entitlements
- How to hide "Now playing url" in control center
- CloudKit: Preventing Duplicate Records
- Slow performance on ipad erasing image
- Swift code with multiple NSDateFormatter - optimization
Related Questions in SYSLOG
- Overlapping UICollectionView in storyboard
- Cannot pod spec lint because of undeclared type errors
- Is the transactionReceipt data present in dataWithContentsOfURL?
- UIWebView Screen Fitting Issue
- ZXingObjC encoding issues
- iOS: None of the valid provisioning profiles allowed the specific entitlements
- How to hide "Now playing url" in control center
- CloudKit: Preventing Duplicate Records
- Slow performance on ipad erasing image
- Swift code with multiple NSDateFormatter - optimization
Related Questions in SPLUNK
- Overlapping UICollectionView in storyboard
- Cannot pod spec lint because of undeclared type errors
- Is the transactionReceipt data present in dataWithContentsOfURL?
- UIWebView Screen Fitting Issue
- ZXingObjC encoding issues
- iOS: None of the valid provisioning profiles allowed the specific entitlements
- How to hide "Now playing url" in control center
- CloudKit: Preventing Duplicate Records
- Slow performance on ipad erasing image
- Swift code with multiple NSDateFormatter - optimization
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular # Hahtags
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
Splunk can do this relatively easily, however the data scrubbing part can take quite awhile. You will need to tie Splunk into a lot for this, because you're talking about operational intelligence machine learning, which is gobs of data and systems.
To answer your question, yes. I've used syslog data to track anomalous failures, and leveraged machine learning to predict (and reduce) number of outages due to ticket entry. to say this another way, we used machine learning to predict how many people would panic during a scheduled (and communicated) outage, so we could make accurate our reporting metrics.
I can say it's valuable, but if you're talking about predicting database connectivity issue algorithms, or application issues, it's at best a factor. syslog isn't dense enough to tell you what's happening in every application running on the machine (unless you classify any log you send to /var/log 'syslog') application logs need to be taken into consideration when performing machine learning algorithms, simply because there is no better source of activity for that application. The trick is determining the dependencies of that application or service.
Splunk is a great tool, and pretty easy to use in comparison to others for making sense of gobs of data. I use it to scub all syslog files constantly for connection issues, and it's super easy after the data is in.