I'm trying to find the best way to use 'top' as semi-permanent instrumentation in the development of a box running embedded Linux. (The instrumentation will be removed from the final-test and production releases.)
My first pass is to simply add this to init.d:
top -b -d 15 >/tmp/toploop.out &
This runs top in "batch" mode every 15 seconds. Let's assume that /tmp has plenty of space…
Questions:
Is 15 seconds a good value to choose for general-purpose monitoring?
Other than disk space, how seriously is this perturbing the state of the system?
What other (perhaps better) tools could be used like this?
Look at collectd. It's a very light weight system monitoring framework coded for performance.
We use sysstat to monitor things like this.
You might find that vmstat and iostat with a delay and no repeat counter is a better option.
I suspect 15 seconds would be more than adequate unless you actually want to watch what's happening in real time, but that doesn't appear to be the case here.
As far as load, on an idling PIII 900Mhz w/ 768MB of RAM running Ubuntu (not sure which version, but not more than a year old) I have top updating every 0.5 seconds and it's about 2% CPU utilization. At 15s updates, I'm seeing 0.1% CPU utilization.
depending upon what exactly you want, you could use the output of uptime, free, and ps to get most, if not all, of top's information.
If you are looking for overall load, uptime is probably sufficient. However, if you want specific information about processes, you are adventurous, and have the /proc filessystem enabled, you may want to write your own tools. The primary benefit in this environment is that you can focus on exactly what you want and minimize the load introduced to the system.
The proc file system gives your application read access to the kernel memory that keeps track of many of the interesting variables. Reading from /proc is one of the lightest ways to get this information. Additionally, you may be able to get more information than provided by top. I've done this in the past to get amount of time spent in user and system by this process. Additionally, you can use this to get information about the number of file descriptors open by the process. You might also use this to get detailed information about how the network system is working.
Much of this information is pre-processed by other applications which can be used if you get the information you need. However, it is rather straight-forward to read the raw information. Do a man proc for more information.
Pity you haven't said what you are monitoring for.
You should decide whether 15 seconds is ok or not. Feel free to drop it way lower if you wish (and have a fast HDD)
No worries unless you are running a soft real-time system
Have a look at tools suggested in other answers. I'll add another sugestion: "iotop", for answering a "who is thrashing the HDD" questions.
At work for system monitoring during stress tests we use a tool called nmon.
What I love about nmon is it has the ability to export to XLS and generate beautiful graphs for you.
It generates statistics for:
Memory Usage
CPU Usage
Network Usage
Disk I/O
Good luck :)
Related
QUESTION Is there an easy, established and accepted way to limit the number of core dumps for a given process on Linux?
WHAT I WANT My ideal solution would be a one-line command to set the per-application limit of x core dumps for all applications. Alternatively, I would be happy with a method to set the limit for each application individually.
WHAT I DON'T WANT I know I can already set a limit for the size of the core dumps using ulimit. I don't want to limit the size of the dumps, just the number of them. I also know I could modify the apport script to get any functionality I desire, but I would like to avoid this if there is a less intrusive solution.
MOTIVATION I am working on a system that is sensitive to excessive disk usage. If a given application cores, I want to keep the core file so that I can debug the problem. If it cores again, which is highly likely since several applications are restarted by a watcher if they die, I don't want to keep the core file because it is unlikely to contain new information and it will just take up disk space.
Process can coredump once, then it is killed. I presume you meant programs like in the rest of the question.
There is nothing of the sort in stock kernels, but things like grsecurity at least used to offer the relevant feature to tamper brute forcing against ASLR.
What do you need this for?
I'm new to Linux and Terminal (or whatever kind of command prompt it uses), and I want to control the amount of RAM a process can use. I already looked for hours to find an easy-t-use guide. I have a few requirements for limiting it:
Multiple instances of the program will be running, but I only want to limit some of the instances.
I do not want the process to crash once it exceeds the limit. I want it to use HDD page swap.
The program will run under WINE, and is a .exe.
So can somebody please help with the command to limit the RAM usage on a process in Linux?
The fact that you’re using Wine makes no difference in this particular context, which leaves requirements 1 and 2. Requirement 2 –
I do not want the process to crash once it exceeds the limit. I want it to use HDD page swap.
– is known as limiting the resident set size or rss of the process, and it’s actually rather nontrivial to do on Linux, as is demonstrated by a question asked in 2010. You’ll need to set up Linux control groups (cgroups). Fortunately, Justin L.’s answer gives a brief rundown on how to do so. Note that
instead of jlebar, you should use your own Unix user name, and
instead of your/program, you should use wine /path/to/Windows/program.exe.
Using cgroups will also satisfy your other requirements – you can start as many instances of the program as you wish, but only those which you start with cgexec -g memory:limited will be limited.
How can I benchmark a process in Linux? I need something like "top" and "time" put together for a particular process name (it is a multiprocess program so many PIDs will be given)?
Moreover I would like to have a plot over time of memory and cpu usage for these processes and not just final numbers.
Any ideas?
I typically throw together a simple script for this type of work.
Take a look at the kernel documentation for the proc filesystem (Google 'linux proc.txt').
The first line of /proc/stat (Section 1.8 in proc.txt) will give you cumulative cpu usage stats (i.e. user, nice, system, idle, ...). For each process, the file /proc/$PID/stat (Table 1-4 in proc.txt) will provide you with both process-specific cpu usage stats and memory usage stats (see rss).
If you google a bit you'll find plenty of detailed info on these files, and pointers to libraries / apps / code snippets that can help you obtain / derive the values you need. With that in mind, I'll focus on the high-level strategy.
For CPU stats, use your favorite scripting language to create an executable that takes a set of process ids for monitoring. At a fixed interval (ex: 1 second) poll / calculate the cumulative totals for each process and the system as a whole. During each poll interval, write all results on a single line to stdout.
For memory stats, write a similar script, but simply log the per-process memory usage. Memory is a bit easier as we directly obtain the instantaneous values.
Run these script for the duration of your test, passing the set of processes ids that you'd like to monitor and redirecting its output to a log file.
./logcpu $(pidof foo) $(pidof bar) > cpustats
./logmem $(pidof foo) $(pidof bar) > memstats
Import the contents of these files into a spreadsheet (for certain applications this is as easy as copy / paste). For CPU, you are after instantaneous values but have cumulative values, so you'll need to do some minor spreadsheet work to derive these values (it's just the delta 't(x + 1) - t(x)'). Of course you could have your cpu logger write the delta, but you'll be spending a bit more time up front on the script.
Finally, use your spreadsheet to generate a nice plot.
Following are the tools for monitoring a linux system
System commands like top, free -m, vmstat, iostat, iotop, sar, netstat, etc. Nothing comes near these linux utility when you are debugging a problem. These command give you a clear picture that is going inside your server
SeaLion: Agent executes all the commands mentioned in #1 (also user defined) and outputs of these commands can be accessed in a beautiful web interface. This tool comes handy when you are debugging across hundreds of servers as installation is clear simple. And its FREE
Nagios: It is the mother of all monitoring/alerting tools. It is very much customization but very much difficult to setup for beginners. There are sets of tools called nagios plugins that covers pretty much all important Linux metrics
Munin
Server Density: A cloudbased paid service that collects important Linux metrics and gives users ability to write own plugins.
New Relic: Another well know hosted monitoring service.
Zabbix
Background
I've written a tool to capture CPU usage on a per/thread basis. The output of the tools is a binary file, that I can pump into my parsing utility that I wrote. And the output of the parsing utility is a CSV file that I can import into Excel to chart pretty graphs of process/thread CPU usage.
This CPU usage capture tool is running on an embedded ARM platform running a Linux kernel based on 2.6.35.3. That being said, I was concerned about making the tool light weight. I didn't want it to store directly to a CSV file, in order to minimize the processing time and the file size of the captured data.
Question
The tool works, but I'm wondering if I took the long way around the problem? Is there already a tool out there that does this (or something like it)?
You're probably wondering why I care if I already made a tool that works. Well, it's not as light weight as I'd like. It's taking up about 10% of CPU usage. As a benchmark, top only takes up about 1% (max).
Update
I've decided to continue using my tool for now. At least until a better solution becomes available. I was able to shave off a couple percentage points by using open() instead of fopen() on /proc/stat. I'm also using read() instead of fgets().
IBM has a tool called nmon which does the same(for AIX & Linux): According to IBM's documentation, it takes ~2% CPU. You may want to look at that.
Comparing nmon with your tool could give you a fair idea about your program's performance and how you may improve your csv capture.
This might be a bit of a steep learning curve, but you might want look into SystemTap: http://sourceware.org/systemtap/
Is there a way to tell Linux that it shouldn't swap out a particular processes' memory to disk?
Its a Java app, so ideally I'm hoping for a way to do this from the command line.
I'm aware that you can set the global swappiness to 0, but is this wise?
You can do this via the mlockall(2) system call under Linux; this will work for the whole process, but do read about the argument you need to pass.
Do you really need to pull the whole thing in-core? If it's a java app, you would presumably lock the whole JVM in-core. I don't know of a command-line method for doing this, but you could write a trivial program to call fork, call mlockall, then exec.
You might also look to see if one of the access pattern notifications in madvise(2) meets your needs. Advising the VM subsystem about a better paging strategy might work out better if it's applicable for you.
Note that a long time ago now under SunOS, there was a mechanism similar to madvise called vadvise(2).
If you wish to change the swappiness for a process add it to a cgroup and set the value for that cgroup:
https://unix.stackexchange.com/questions/10214/per-process-swapiness-for-linux#10227
There exist a class of applications in which you never want them to swap. One such class is a database. Databases will use memory as caches and buffers for their disk areas, and it makes absolutely no sense that these are ever put to swap. The particular memory may hold some relevant data that is not needed for a week until one day when a client asks for it. Without the caching/swapping, the database would simply find the relevant record on disk, which would be quite fast; but with swapping, your service might suddenly be taking a long time to respond.
mysqld includes code to use the OS / system call memlock. On Linux, since at least 2.6.9, this system call will work for non-root processes that have the CAP_IPC_LOCK capability[1]. When using memlock(), the process must still work within the bounds of the LimitMEMLOCK limit. [2]. One of the (few) good things about systemd is that you can grant the mysqld process these capabilities, without requiring a special program. If can also set the rlimits as you'd expect with ulimit. Here is an override file for mysqld that does the requisite steps, including a few others that you might need for a process such as a database:
[Service]
# Prevent mysql from swapping
CapabilityBoundingSet=CAP_IPC_LOCK
# Let mysqld lock all memory to core (don't swap)
LimitMEMLOCK=-1
# do not kills this process if low on memory
OOMScoreAdjust=-900
# Use higher io scheduling
IOSchedulingClass=realtime
Type=simple
ExecStart=
ExecStart=/usr/sbin/mysqld --memlock $MYSQLD_OPTS
Note The standard community mysql currently ships with Type=forking and adds --daemonize in the option to the service on the ExecStart line. This is inherently less stable than the above method.
UPDATE I am not 100% happy with this solution. After several days of runtime, I noticed the process still had enormous amounts of swap! Examining /proc/XXXX/smaps, I note the following:
The largest contributor of swap is from a stack segment! 437 MB and fluctuating. This presents obvious performance issues. It also indicates stack-based memory leak.
There are zero Locked pages. This indicates the memlock option in MySQL (or Linux) is broken. In this case, it wouldn't matter much because MySQL can't memlock stack.
You can do that by the mlock family of syscalls. I'm not sure, however, if you can do it for a different process.
As super user you can 'nice' it to the highest priority level -20 and hope that's enough to keep it from being swapped out. It usually is. Positive numbers lower scheduling priority. Normal users cannot nice upwards (negative nos.)
Except in extremely unusual circumstances, asking this question means that You're Doing It Wrong(tm).
Seriously, if Linux wants to swap and you're trying to keep your process in memory then you're putting an unreasonable demand on the OS. If your app is that important then 1) buy more memory, 2) remove other apps/daemons from the machine, or dedicate a machine to your app, and/or 3) invest in a really fast disk subsystem. These steps are reasonable for an important app. If you can't justify them, then you probably can't justify wiring memory and starving other processes either.
Why do you want to do this?
If you are trying to increase performance of this app then you are probably on the wrong track. The OS will swap out a process to increase memory for disk cache - even if there is free RAM, the kernel knows best (actauly the samrt guys that wrote the scheduler know best).
If you have a process that needs responsiveness (it's swapped out while not used and you need it to restart quickly) then nice it to high priority, mlock, or using a real time kernel might help.