IT systems produce large quantities of log files, very useful tools for guaranteeing data security and application stability. However, in a complex ecosystem, the quantity of files and their location can become two insurmountable obstacles to overcome, in case it is necessary to consult the data efficiently. This is where log management systems come into play, which thanks to technologies such as Syslog-ng, are able to circumvent the problem. In the article, we see how a log file management solution can be a valuable investment.
What is a log file, what is it for
Any action that is performed on a machine or by it can be recorded in a log file. To understand what it is, let’s imagine that it is a ship’s logbook, in which every single event that happened on the boat is noted. In fact, the name derives from the nautical environment, in which the use of a logbook was common. This was nothing more than a diary in which navigation data were recorded at regular intervals: speed, wind strength and direction, water conditions and so on.
With the concept of recording useful information in a file that can be consulted later, the log file contains any changes, actions, states or modifications for security reasons. In case something goes wrong, it is easy to understand what happened by consulting a log file. This is especially true when we talk about servers and applications, data dissemination, IT security, etc.
Amount of log files
Some companies have up to a few dozen servers, others have hundreds, some thousands, and there are others that manage tens of thousands of servers. These systems produce a huge amount of data in the form of log files.
Complicating things is IT architecture. Very often machines are organized into subsystems, both for reasons of convenience and safety. In the unfortunate event that someone wants to consult the log files following an accident, we should despair. Which server holds the data we are interested in? Which subsystem is it in? These are not questions that can be answered simply, especially if you don’t know the source of the problem.
The management of the log files of a system (or Log Management) is essential in the collection of data, prevention and resolution of problems.
Secure Online Desktop Log Management
SOD offers a log management solution through Syslog-ng Premium Edition agents. These are in charge of the collection, transmission and storage of log files. Not only are they collected and centralized in a single virtual place, but the data are also normalized, ie “translated” into standardized formats so that they can be consulted and compared more easily.
Real-time normalization, reporting and classification
Thanks to normalization, it is possible to carry out cross-sectional full-text searches in a few seconds to all the log files collected. Complex operations are guaranteed by the possibility of using wildcards and Boolean operators. The analysis of the collected data is therefore very simplified, which allows the data to also be used to monitor the efficiency of the system, identify possible future problems and intervene before it is too late.
It is also possible to generate customized reports consisting of graphs and statistics with the aim of certifying compliance with standards and regulations such as PCI-DSS, ISO 27001, SOX and HIPAA.
One of the most interesting features of syslog-ng is the ability to automatically classify messages and sort them into classes. These can then be used to label the type of event described in the log. Examples of possible classes: user login, application crash, file transfer, etc.
Extraction and correlation of messages in log files
The classification of messages opens the door to a further functionality: the extraction and correlation of messages. Once each message contained in the log file has been normalized and classified according to your needs, it is possible to assign different tags, to add an additional filter level.
To give an example: once a user’s login messages have been collected, it is possible to label them as user_login, and then isolate them by extracting them and collecting them in a separate file to perform further processing on these messages.
Syslog-ng also makes it possible to correlate events in real time, to prevent data from a single event being scattered across multiple log files. For example, the access and exit data (log-in and log-out) are often recorded far from each other, even in different log files. Through correlation, the data of a single event can be collected and analyzed in isolation.
The stored log messages and the configuration of the Log Management service can be periodically transferred to a remote server using the following protocols:
– Network File System protocol (NFS)
– Rsync over SSH
– Server Message Block protocol (SMB / CIFS)
The log file collection and management system with syslog-ng PE agents operates on over 50 platforms, including all Linux distributions and commercial versions of Unix and Windows. The service is able to manage huge quantities of messages, up to over 100,000 per second and over 70 GB of raw log files per hour, from 5000 different sources (servers, applications, etc.).
Ask us for more information about our Log Monitoring service to know specifically how it can be implemented in your systems and how it can help you.
syslog server – High performance service for collecting logs
- Use all the strengths of the syslog-ng Premium Edition
- Find logs, secure sensitive data with granular access policies and generate reports
- Forward logs to third-party tools
SYSLOG SERVER – CLOUD LOG MANAGEMENT SERVICE TO MANAGE YOUR LOGS
Log Management service allows you to keep logs (applications, system, audit logs, query databases, etc) in the Secure Online Desktop Cloud secure from any tampering with respect to data retention rules.
COLLECT AND INDEX LOG DATA IN CLOUD
Log Management service uses the syslog-ng Premium Edition as log collection agents which provide highly scalable and reliable log collection. Installers are available for 50+ platforms, including the most popular Linux distributions, commercial versions of UNIX and Windows.
The indexing engine is optimized for performance. Depending on its exact configuration, one syslog-ng Store Box can collect and index up to 100,000 messages per second for sustained periods. A single Log Management instance can collect log messages from more than 5,000 log sources. When deployed in a client-relay configuration, a single Log Collector can collect logs from tens of thousands of log sources
SEARCH, TROUBLESHOOT, AND REPORT
With full-text search, you can search through billions of logs in seconds via the intuitive web-based user interface. Wildcards and Boolean operators allow you to perform complex searches and drill down on the results. Users can gain a quick overview and pinpoint problems. Users can easily create customized reports from the charts and statistics they create on the search interface to demonstrate compliance with standards and regulations such as PCI-DSS, ISO 27001, SOX and HIPAA.
HIGHLY SCALABLE INDEXING ENGINE
The Log Management service is optimized for performance, and can handle enormous amounts of messages. Depending on its exact configuration, it can index over 100,000 messages per second for sustained periods and process over 70 GB of raw logs per hour.
syslog server – REAL-TIME LOG DATA TRANSFORMATION
Filter, Parse, Re-Write
The syslog-ng application can sort the incoming log messages based on their content and various parameters like the source host, application, and priority. Directories, files, and database tables can be created dynamically using macros. Complex filtering using regular expressions and boolean operators offers almost unlimited flexibility to forward only the important log messages to the selected destinations
Parse key-value pairs
Log Aggregator can separate a message consisting of whitespace or comma-separated key-value pairs (for example firewall logs) into name-value pairs.
Parse sudo log messages
Privileged user accounts represent the highest security risk, as they allow access to the most sensitive data and resources. The sudo parser enables you to enrich your log message data with details of privilege escalation events.
Normalize data with PatternDB
The syslog-ng application can compare the contents of the log messages to a database of predefined message patterns.
Real-time log message classification
By comparing log messages to known patterns, syslog-ng is able to identify the exact type of the messages, and sort them into message classes. The message classes can be used to classify the type of the event described in the log message. The message classes can be customized, and, for example, can label the messages as user login, application crash, file transfer, etc.
Extracting important information from messages
In addition to classifying messages, you can also add different tags which can be used later for filtering messages, for example, to collect messages tagged as user_login to a separate file or to perform conditional post processing on the tagged messages.
Real-time event correlation
Syslog-ng also makes real-time event correlation possible. This can be useful in many different situations. For example, important data for a single event is often scattered into multiple syslog messages. Also, login and logout events are often logged far away from each other, even in different log files, making log analysis difficult. Using correlation these can be collected into a single new message.
syslog server – AUTOMATED BACKUP OF STORED DATA
Stored log messages and the configuration of SSB can be periodically transferred to a remote server using the following protocols
– Network File System protocol (NFS);
– Rsync over SSH;
– Server Message Block protocol (SMB/CIFS).
ICON_PLACEHOLDEREstimated reading time: 6 minutes Out of nowhere, someone replies to an email conversation dated… https://t.co/kXIx3FPWfm
L'hacking etico e la salvaguardia del patrimonio aziendale https://t.co/SLncmaZ1ci
ICON_PLACEHOLDERTempo di lettura: 5 minutes Le ransomware gang hanno preso di mira le aziende negli ultimi tempi,… https://t.co/3hF62deo6S
ICON_PLACEHOLDEREstimated reading time: 10 minutes Ingegneria sociale è il termine usato per una vasta gamma di a… https://t.co/gj1hMDdfjn
Enterprise e piccole aziende, l'importanza di un Next Generation SIEM https://t.co/qT4PxR13Li