Top 8 Log Management Tools

SplunkIBM QRadarDatadogSevOne Network Data PlatformCheck Point Security ManagementELK LogstashFortinet FortiAnalyzerDevo
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    It allows us to digest the information, the data, the different data streams, so we can make decisions based upon information that we receive, and it is pretty robust.
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    The feature that I have found most valuable is how it monitors the real network. That is its leading security feature.What we like about QRadar and the models that IBM has, is it can go from a small-to-medium enterprise to a larger organization, and it gives you the same value.
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    Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up.I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution.
  5. The comprehensiveness of this solution's collection of network performance and flow data is one of the basics in the field for what it does. It meets all of our needs. So for all those areas, for the most straightforward collection capabilities, right up to NetFlow and even telemetry, it meets all those demands. Not only just basic or fundamental SNMP collection capability, but the product also supports what we need for the future with telemetry streaming. So it's very comprehensive.
  6. The fact that everything starts from the same unified management console makes it very easy to integrate new equipment or functionalities once the operator has become familiar with it, as everything will follow similar management or operation mechanisms.
  7. Its flexibility is most valuable. We can have a number of scenarios, and we can get logs from anything. If we know how to use Logstash, we can tweak it in many ways. This makes the logging search on Elastic very easy.
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  9. Overall we are satisfied with all the features the solution provides.The initial setup is straightforward.
  10. The most valuable feature is definitely the ability that Devo has to ingest data. From the previous SIEM that I came from and helped my company administer, it really was the type of system where data was parsed on ingest. This meant that if you didn't build the parser efficiently or correctly, sometimes that would bring the system to its knees. You'd have a backlog of processing the logs as it was ingesting them.

Key Benefits of Log Management & Monitoring

The benefits of log management and monitoring systems include:

● Unified storage

Not only does having all logs in one place make analysis much easier, but unified storage also enhances your system security. The time between when a threat occurs and when you notice it and take action is crucial, and when you store all log information together, it speeds up this process. When your logging is centralized this also means it is standardized, which makes it easier to search for information across logs from various sources.

● Better security

Log management tools offer customizable real-time alerts, which means that in case of a security breach you can react immediately and prevent further damage from the attacker. You can adjust your monitoring settings to track a custom selection of events, which is also useful for security.

● Improved troubleshooting

One of the most common uses of event logs is for network troubleshooting.
A log management tool allows you to customize your search and analysis of large amounts of data, allowing you to more easily discover connections between events and pinpoint the source of whatever issue you are having.

● Log file parsing

Parsing is the division of data into smaller pieces of information, making it easier to store and manipulate. Similar data structures need to be recognized and then information grouped according to those structures. For example, tracking the activity of a particular user or identifying all timestamps and then gathering logs from a certain timeframe.

● Data analytics

The data your company stores contains all kinds of valuable information. Data analytics cleanses and transforms data with goals such as predicting behavior, helping to make business decisions, and providing new information. For instance, analyzing customer logs could predict that customers are more likely to make a purchase on a particular day of the week, help you decide to target your next marketing campaign toward a different type of audience, or provide you with useful new information about your customers.

Importance of Log Management in DevOps

For DevOps (the combination of software development and IT operations into a single team), automation is essential in shortening the systems development lifecycle while continuously delivering high-quality software.

Log management is useful when things are running normally, as mentioned above, to provide you with information and help you make business decisions. But logs are also your first indication when a problem is occurring. There are all kinds of issues that need to be caught, and not all of them necessarily show up in the user interface. There are bugs that waste resources, open security holes, and degrade performance, often without being obvious. Other problems can affect the user but it might be hard to trace them to their cause without the right information.

Log management is especially important for cloud-native applications because they are so dynamic and the data is so distributed. Each set of logs also generates database logs, infrastructure logs, subcomponent logs, etc., creating a multitude of potential sources for whatever issue happens to arise. There is so much raw data available that it’s virtually impossible for a human being to sort through the information and figure out what is and isn’t valuable. Statistical analysis involves a great deal of number-crunching as well as comparison with previous log data. Sophisticated software assistance is necessary in order to get insights out of that much data. Log management provides a holistic, realistic view that enables visibility, allowing you to identify trends across your company’s entire infrastructure, so that you can adapt early and prevent problems rather than waiting to solve them after they crop up.

Find out what your peers are saying about Splunk, IBM, Datadog and others in Log Management. Updated: September 2021.
534,226 professionals have used our research since 2012.