Top 8 Log Management Tools
SplunkIBM QRadarDatadogDevoCheck Point Security ManagementSevOne Network Data PlatformELK LogstashFortinet FortiAnalyzer
Popular Comparisons The connections to the database are very good and updating the data files is simple to do. The dashboards are useful and user-friendly.
The SIEM is the most valuable feature of the product.
Popular Comparisons It has a lot of good correlation rules. From a customer's point of view, it is one of the best solutions because you don't need to create correlation rules from scratch. You just review them and customize them as you want.
Popular Comparisons The solution is sufficiently stable.
The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment.
Popular Comparisons The strength of Devo is not only in that it is pretty intuitive, but it gives you the flexibility and creativity to merge feeds. The prime examples would be using the synthesis or union tables that give you phenomenal capabilities... The ability to use a synthesis or union table to combine all those feeds and make heads or tails of what's going on, and link it to go down a thread, is functionality that I hadn't seen before.
Popular Comparisons The management API is the best new feature for me. It allows us to further automate our customers' automated server ordering.
We love the ability to monitor performance in real-time, and gather critical information about network flows and traffic.
Popular Comparisons The modules and the performance management reports that come with data insights are two of the most valuable features. I also find the reports for Wi-Fi, Netflow, LAN, and WAN for monitoring to be very good.
Popular Comparisons The most valuable feature is the search function, which allows me to go directly to the target to see the specific line a customer is searching for.
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.
Popular Comparisons Initial setup is ok.
I like the solution's integrative security capabilities with FortiGate.
Find out what your peers are saying about Splunk, IBM, Datadog and others in Log Management. Updated: January 2022.
564,322 professionals have used our research since 2012.
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564,322 professionals have used our research since 2012.
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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: January 2022.
564,322 professionals have used our research since 2012.
