LINUX DEBUGGING AND PERFORMANCE TUNING TIPS AND TECHNIQUES PDF

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Linux Debugging and Performance Tuning: Tips and Techniques Linux Performance Tuning and Capacity Planning (Kaleidoscope). Read more. Learn Linux debugging and optimization—at kernel and application levels— hands-on! This is the definitive guide to Linux software debugging and performance. Linux debugging and performance tuning tips and techniques Prentice Hall open source software development series. Material. Type. Book. Language English.


Linux Debugging And Performance Tuning Tips And Techniques Pdf

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Linux Debugging and Performance Tuning: Tips and Techniques. Book Review. These kinds of pdf is every thing and helped me hunting ahead plus more. SCP6ONQYEM5S» site» Linux Debugging and Performance Tuning: Tips and Techniques. Read PDF Online. LINUX DEBUGGING AND PERFORMANCE . Read Linux Debugging and Performance Tuning: Tips and Techniques (Prentice Hall Open Source Software Development) - Steve Best [PDF File(PDF,Epub,Txt)].

The blog post strace Wow Much Syscall discusses strace 1 for production use, and compares it to advanced tracing tools Talks In rough order of recommended viewing or difficulty, intro to more advanced: 1. Linux Systems Performance PerconaLive This is my summary of Linux systems performance in 50 minutes, covering six facets: observability, methodologies, benchmarking, profiling, tracing, and tuning.

It's intended for people who have limited appetite for this topic. A video of the talk is on percona. Linux Performance PerconaLive This was a 20 minute keynote summary of recent changes and features in Linux performance in A video of the talk is on youtube , and the slides are on slideshare or as a PDF.

Linux Performance Tools Velocity At Velocity , I gave a 90 minute tutorial on Linux performance tools, summarizing performance observability, benchmarking, tuning, static performance tuning, and tracing tools.

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I also covered performance methodology, and included some live demos. This should be useful for everyone working on Linux systems. If you just saw my PerconaLive talk, then some content should be familiar, but with many extras: I focus a lot more on the tools in this talk. A video of the talk is on youtube playlist ; part 1 , part 2 and the slides are on slideshare or as a PDF.

This was similar to my SCaLE11x and LinuxCon talks, however, with 90 minutes I was able to cover more tools and methodologies, making it the most complete tour of the topic I've done. I also posted about it on the Netflix Tech Blog. I begin by providing Netflix background, covering instance types and features in the AWS EC2 cloud, and then talk about Linux kernel tunables and observability.

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A video of the talk is on youtube and the slides are on slideshare : 5. Container Performance Analysis DockerCon, At DockerCon in Austin, I gave a talk on Linux container performance analysis, showing how to find bottlenecks in the host vs the container, how to profiler container apps, and dig deeper into the kernel.

A video of the talk is on youtube and the slides are on slideshare. This broken tools talk was a tour of common problems with Linux system tools, metrics, statistics, visualizations, measurement overhead, and benchmarks.

Asynchronous function calls - Allow probing or other functions to proceed in parallel, to overlap time-consuming boot-up activities. Threaded Device Probing - Allow drivers to probe devices in parallel. Reordering of driver initialization - Allow driver bus probing to start as soon as possible.

This is only interesting if your system uses software ECC correction. Check what kernel memory allocator you use. In one test removing sysfs saved 20 ms.

Carefully investigate all kernel configuration options on whether they are applicable or not. Even if you select an option that is not used in the end, it contributes to the kernel size and therefore to the kernel load time assuming you are not doing kernel XIP.

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Often this will require some trial and measure! Not dramatic, but when reducing boot time every penny counts! Most often newer compilers produce better code. You might also want to play with compiler options to see what works best. If you use initramfs in your kernel and a compressed kernel it is better to have an uncompressed initramfs image. This is to avoid having to uncompress data twice.

A patch for this has been submitted to LKML. This is a function of whether meta-data must be read from storage into RAM or not, and what algorithms are used during the mount procedure. Filesystem Information - has information about boot-up times of various file systems File Systems - has information on various file systems that are interesting for embedded systems. Also includes some improvement suggestions.

Avoid Initramfs - explains on why initramfs should be avoided if you want to minimize boot time Split partitions. If mounting a file system takes long, you can consider splitting that filesystem in two parts, one with the info that is needed during or immediately after boot, and one which can be mounted later on. Ramdisks demasked - explains why using a ram disk generally results in a longer boot time, not a shorter one.

This avoids the costs of runtime linking. Useful if you have only a few applications. Include modules in kernel image - Avoid extra overhead of module loading by adding the modules to the kernel image Speed up module loading - Use Alessio Igor Bogani's kernel patches to improve module loading time by " Speed up the symbols' resolution process " Patch 1 , Patch 2 , Patch 3 , Patch 4 , Patch 5. These should be created statically, not dynamically.

Linux Debugging and Performance Tuning: Tips and Techniques

If you still like udev and also like fast boot-up's, you might go this way: start your system with udev enabled and make kind of a backup of the created device nodes. Now, modify your init script like this: instead running udev, copy the device nodes that you just made a backup of into the device tree. Now, install the hotplug-daemon like you always do. That trick avoids the device node creation at startup but stills lets your system create device nodes later on.

If your device has a network connection, preferably use static IP addresses.

Getting an address from a DHCP server takes additional time and has extra overhead associated with it. If possible move from glibc to uClibc. This leads to smaller executables and hence to faster load times.

Linux® Debugging and Performance Tuning: Tips and Techniques

As unneeded functions are removed this should lead to a performance gain. Normally there will be library pages which contain unused code adjacent to code that is used.

After optimizing the library this does not occur any more, so less pages are needed and hence less page loads, so some time can be saved. This improves the load time of the application as all initialization code is grouped into a set of pages, instead of being scattered over a number of pages.

Suspend related improvements Another approach to improve boot time is to use a suspend related mechanism. Two approaches are known.Steve Best. Otherwise inconsistencies will occur if a partition is modified, while applications in the hibernate file might have information in the snapshot related to the unmodified partition. A possible approach would be to have those data to reside into the kernel image and use them directly. Each category allows you to control certain settings related to that category.

For multi-core targets, placing unused cores in "BYPASS" mode will exclude those cores from the parsing process, speeding up the time required to generate the database. You can still set the breakpoint from the Breakpoints view by specifying the symbol name. The front-end used in this talk is bcc BPF compiler collection , an open source project that provides BPF interfaces and a collection of tools.