Properly utilizing and thoroughly analyzing your event logs is one of the cornerstones of IT security. Today, cybersecurity is more important than ever and is an entire growing industry all in itself, with the global cybersecurity market estimated to reach almost $250 billion value by 2023.
If you are running a distributed system and have reached a point of scale where you’re running 5+ services, you are more than likely experiencing difficulties when troubleshooting. Does the following sound somewhat familiar?
Simple enough to be embedded in text as a sparkline, but able to speak volumes about your business, time series data is the basic input of Anodot’s automated anomaly detection system. This article begins our three-part series in which we take a closer look at the specific techniques Anodot uses to extract insights from your data.
It’s that time of year again–the temperature is dropping, snow is falling, and a new year has arrived. On the bright side, the end of 2018 brings the beginning of 2019 and a whole new list of tech conferences to look forward to.
The inherent limitations of most log managers and the need to work within the constraints of your current hardware may force your enterprise to make some hard choices. Less useful data may be left unchecked, old information will eventually get deleted, and the amount of data that is accessed in real-time is sacrificed to reduce excess workload.
