The cloud-native platform for centralized log management
Analytics, visualizations, and workflows purpose built for practitioners
Leading firms gaining more value from their machine data
Any source, any velocity – centralize logs, metrics, and traces for full visibility.
Close the gap between detection and response with an analyst-focused, cloud-native approach.
Understand complex environments with visual analysis and KPIs that matter most.
The most recent articles & research from Devo
At its heart, log management is the (challenging) task of collecting and storing all machine-generated data from across your entire enterprise into a common repository. If this collection doesn’t happen, or if log collection is limited to certain datasets, there’s little chance of deriving the high value business intelligence you dream of. For businesses to be able and prevent service disruptions, detect threats, and map user web activity to CSAT they must rely on logs and it becomes especially important to make sure your log management tool is up for the task, especially at scale.
Not only is the breadth of data collected important, but so is its depth. To increase its value, you must be able and collect data at scale, store it all, and visualize it. In addition, you can gain insights by applying machine learning to your data. By leveraging both real-time and historical data to train ML models you can then apply those models against new unseen data to gain differentiated insights. When you arrive at the intersection of viewing all log data sources – coupled with historical and real-time streaming data – you will be able to gain differentiated intelligence that drives change for your business, whatever your goals and key performance indicators may be.
As an example of the benefits that can accrue to your business from log management let’s review three situations where log management is critical to driving business intelligence:
The beauty of log data is that it can be joined quickly with other data sets, such as revenue and web server errors. The possibilities are endless. But, what’s preventing companies from taking full advantage is that tools don’t work at the speed of human thought – lines of business want to be creative with data visualization and action, but many tools hinder that creativity due to operational issues such as the expense of storing data or latency in analyzing streaming data.
Log management requires central coordination and attention, which can often pose the biggest hurdles in large enterprises and in distributed IT models. As advanced DevOps teams built intelligent self-service applications for lines of business to improve customers’ experiences, the lack of an overarching view into all those applications has increased. Now, business and technology leaders are realizing the importance of that visibility, and the pendulum has swung in the other direction. Business intelligence can’t be achieved without historical and streaming log data and with a system that is fast enough to take timely action with ease.
Learn more about how you can derive business intelligence and time to value quickly in the Devo white paper, “Speed, Simplicity, & Scale.”
By Chris O'Brien
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