Machine data is growing at a fast pace, which presents significant problems. By definition, it is not readily available to be analyzed, but we are here to help you out and fix that problem. First, let’s see what the 4 main issues are:
Logging Problem#1 – You just can’t analyze!
Logs to almost everyone are a pile of Crap Big Data that nobody wants to touch, and everyone hopes will magically analyze themselves. But it just doesn’t work that way. Extracting key metrics or trends in your system is like finding a needle in a haystack if you don’t have the right tools.
In the past tools have tried to help Mr. IT get a grip on the behemoth of Data, but he only usually got a simple or very complex search and retrieved query, which is great, if you know what you are looking for. You often don’t even know something is wrong. What about troubleshooting? Let’s take this one step further – what about troubleshooting before the problem arises? The answer, soon…
Logging Problem#2 – Key Events, Where are you???
As mentioned above, knowing what to look for is the issue, if not the biggest problem in log management. You can be the king of all query languages but if you don’t know what you are looking for you might as well throw darts at a wallpaper of printed out logs. Even if you do have alerts it wouldn’t matter because they were created by someone that found a bug once a million years ago, but what about the one that is happening right now? (Relax, there aren’t any bugs in your system right now… or are there?)
Again, the answer will soon be revealed.
Logging Problem#3 – Correlating your Data
Correlation is a Log management nightmare. Splunk, Elastic, and other log management companies shove everything into one big pile, and you are expected to know how to navigate between an immense amount of data. Rainbows and unicorns, yeah right… There is a solution that finds correlations for you, even if you didn’t even know one existed. Read a little more, and you’ll get there (Yes we know we are repeating ourselves).
Logging Problem#4 – Data Normalization at Collection stage
A lot of log data is unstructured or maybe if you are lucky, is somewhat structured. The challenge of creating a system, or using one, which normalizes and analyzes in a way that anybody can read is not only impossible but seems like it can’t exist.
Well, I hate to bust your bubble, but the solution doesn’t only exist, but you are actually reading this blog post on a company blog that takes care of all these issues and more.
If you are looking for a Log management solution that aggregates, analyzes and uses AI to find and solve data related problems, you’ve come to the right place.
The problems below won’t be an issue for you anymore:
- Being notified in real time on suspicious log flows
- Analyzing and querying huge amounts of data in seconds
- Automatic clustering of logs back into their patterns
- Correlation of logs from various sources
To learn more about making your life or your IT’s life much easier saving time and money, join us!