next gen siem

new and old according to the life cycle, according to the result of the statistic distribution law, the new and old regions can adopt different recycling strategies and algorithms, strengthen the recovery and processing intensity of the new region, and strive for the short time interval, the smaller memory area, A large number of newly discarded local objects on the execution path that are not used at a lower cost are promptly reclaimedHypothetical prerequisites for the generational algorithm:1

reason on by reducing the number of places where a context switch can happen.The code for the co-process is almost as simple as synchronizing the code, but without the overhead of the thread. And the co-process makes concurrency easier because it reduces context-switching scenarios.Review the Code of the co-process again from tornado import Gen@gen.coroutine def Fetch_coroutine (URL): http_client = Asynchttpclient () response = yield Http_c

) { _emojiRepository = emojiRepository; } public IEnumerablePerformance testing 100,000 cycles trieFilter.SearchAll Time Elapsed : 65ms CPU Cycles : 174,521,817 Memory cost : 1,192 Gen 0 : 7 Gen 1 : 2 Gen 2 : 2hashFilter.SearchAll Time Elapsed : 627ms CPU Cycles : 1,694,437,899 Memory cost : 2,440

. --> $velocityCount--> --> #! /Usr/bin/env php 'Thrift -- gen {gen}-out "{out}" {idl }"', 'project' => array ('cms-exmaple' => array ('gen' => 'php', // Code target language, -- gen option for thrift 'out' => '/path/to/output', // code output directory, used for thrift's -- out option 'idl _ git_url' =>' h

= gen_generator() print ret, type(ret) # ret = gen_value() print ret, type(ret) # 1 From the code above, we can see that,gen_generatorThe function returns a generator instance. Generator has the following special features: • Following the iterator protocol, the iterator protocol needs to be implemented__iter__ , Next interface • It can be accessed multiple times and returned multiple times to pause code execution in the function body The test code is as follows: >>> Def gen_

After tornado's coroutine was released, the coroutine concept was enhanced. in asynchronous programming, the original gen. engine was replaced and changed to the current gen. coroutine. The decorator was originally designed to simplify asynchronous programming in tornado. Avoid writing callback functions to make development more in line with normal logic thinking. A simple example is as follows: Class Mai

In Evenlist) squarelist. Add (I * I ); Return Squarelist ;} Theoretically, this method is indeed inferior to the following: StaticListInt> Evensquarefast (IenumerableInt> Source ){ListInt> Result =NewListInt> ();Foreach(VaRIInSource ){If(I % 2 = 0) result. Add (I * I );}ReturnResult ;} In the second method, you can filter data directly in a traversal and convert the data directly. The first write method divides the method into two steps based on the "function description". Filter and c

High-performance ASP. NET Site build series Article Directories Use of CLR counters We use the built-in performance monitoring tool to track and monitor the garbage collector. Next, we will first introduce several common CLR performance monitoring counters. We generally look at the counters under the. net clr Memory category: Percent Time in GC It indicates the percentage of the total time taken to run the garbage collection mechanism from the last time it was run. It must no

Optimization-monitor CLR Performance CLRCounter usage We use the built-in performance monitoring tool to track and monitor the garbage collector. Next, we will first introduce several commonCLRPerformance monitoring counters. Net CLR memoryCounters Under classification: Percent Time in GC indicates the percentage of the total time taken to run the garbage collection mechanism from the last time it was run. 10% .

),User get (1: string uid ),} 2. Generate a c ++, java, and python code frameworkShell code favorites code Thrift-r -- gen cpp acsuser. thriftThrift-r -- gen java acsuser. thriftThrift-r -- gen py acsuser. thrift In this case, the subdirectories gen-cpp, gen-java, and

returned multiple times to pause code execution in the function body The test code is as follows: >>> Def gen_example ():... print 'before any yield '... yield 'first yield '... print 'between yields '... yield 'second yield '... print 'no yield anymore'...> gen = gen_example () >>> gen. next () # Call nextbefore any yield first yield for the first time> gen. ne

) # Load constant 13 Store_fast 0 (x) # x is assigned a value of 16 6 Load_const 2 (9 Make_function 0 # Create function1 Store_fast (BAR)9 Load_fast 1 (BAR)Load_fast 0 (x)Call_function 1 # Call functionReturn_valuewhichThe first code line number of the behavior;Second behavior offset address;The third act bytecode instruction;The four behavior instruction parameter;Explanation of the behavior parameter five.Generator Source AnalysisBy the above understanding of the call stack, it is easy to unde

dis Dis (foo) 5 0 Load_const 1 (1) # Load constant 13 Store_fast 0 (x) # X assigned to 1 6 6 load_const 2 ( 9 Make_ function 0 # Create function store_fast 1 (BAR) 9 Load_fast 1 (BAR)0 (x) load_fastCall_function 1 # Call functionReturn_valuewhich The first behavior code line number;The second behavior offset address;Third act byte Code instruction;The four-act instruction parameter;The behavior parameter explanation.Generator Source Analysis From the above understanding of the ca

Preparing for Oracle Installation The following parameters are appended to the end of the/etc/system file, and both hosts need to be modified: * kernal parameter for Oracle database add By:gqgaiset shmsys:shminfo_shmmax=4294967295set shmsys:shminfo_shmmin=1set Shmsys:shminfo_shmmni=100set Shmsys:shminfo_shmseg=10set Semsys:seminfo_semmni=1024set semsys:seminfo_semmsl= 1510set Semsys:seminfo_semmns=3010set Semsys:seminfo_semopm=100set semsys:seminfo_semvmx=32767 Reboot host after modif

6. Installation TestAfter installation thrift-version View the version information, indicating that the installation was successful.Thrift version 0.9.0 7. Self-brought example test There are examples of thrift in the Tutorial directory where we test the CPP example. Enter the Tutorial directory, Shared.thrift and Tutorial.thrift are interface definition files. Executing the thirft-r--gen CPP Tutorial.thrift, you can generate the

? Where did it go? There are two products available to meet this requirement, currently on the market siem products are mainly hp Arcsight (background hang oracle Library", IBM Security QRadar SIEM and ossim USM siem solution, in open source software ossim to be the best choice. ossim just integrate some open source tools into a si

management, distributed deployment, vulnerability scanning, risk assessment, policy management, real-time traffic monitoring, anomaly traffic analysis, attack detection alarm, correlation analysis, and style= "font-family: ' Arial '; Risk calculation, security incident warning, event aggregation, log collection and analysis, knowledge base, timeline analysis, unified report output, multi-user rights management functions, is this integrated open source tool in the end? Where did it go? There a

, identity data, database logs, sandbox logs, cloud security logs, Big Data system logs, and more.2. Threat intelligence collection and integrationThe preferred use of Siem to gather intelligence and correlate intelligence with various data. The second is to use their own development system to do.3. Automation of the security analysis processThink that fully automated only 3.6%, almost automatic has 53.7%, there is no automated 22.1%, there are 10.5%

Supported output mode Zabbix Version 2.4 and 3.0 Syslog SIEM Telegram Supported Web servers Apache Apache Vhost Nginx Nginx Vhost Installation Cloning engineering git clone https://github.com/mthbernardes/ARTLAS.gitInstall dependent libraries Pip Install-r dependencies.txt Python version 2.7.11 (lastet)Install screen sudo apt-get install screen #Debian likeSbopkg-i Screen # Slackware 14.*Yum Install screen # Centos/rhelDNF Install Scree