Top 8 Log Management
SplunkDatadogIBM QRadarDevoLogRhythm SIEMIBM SevOne Network Performance Management (NPM)Check Point Security ManagementElastic Security
It is the best tool if you have a complex environment or if data ingestion is too huge.
The indexing and data collection are valuable.
Datadog is providing efficiency in the products we develop for the wireless device engineering department.
The management of SLOs and their related burn-rate monitors have allowed us to onboard teams to on-call fast.
We find predictive analysis capabilities valuable.
The best feature of IBM QRadar is visualization which shows you when there's a spike in the system, and this makes you realize that there's something wrong with the log.
The alerting is much better than I anticipated. We don't get as many alerts as I thought we would, but that nobody's fault, it's just the way it is.
The most useful feature for us, because of some of the issues we had previously, was the simplicity of log integrations. It's much easier with this platform to integrate log sources that might not have standard logging and things like that.
LogRhythm does a very good job of helping SOCs manage their workflows.
One of the main features that I like about LogRhythm NextGen SIEM is that there are a lot of pre-built pieces. Like with our AV, we didn't have to tell it how to read the logs; they already had it pre-made. So, we essentially just had to follow their guide to get the logs imported in and set up some rules for it. We've only had to manually create the parsing rules for a few of our vendors so that we could interpret the logs correctly. Most of them had already been pre-created for us.
SevOne has rich API capabilities, giving us the flexibility to control what we collect and customize the collection, creation, and manipulation of now metrics as necessary.
It provides for capabilities and has allowed us to be more scalable.
Each department can easily share data with the management without fear of data compromise.
What customers found most valuable in Elastic Security feature-wise is the search capability, in particular, the way of writing the search query and the speed of searching for results.
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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.