Linux Kernel Debugging Essentials workshop
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Kernel_Crash_Dump_Analysis
The document provides an overview of kernel crash dump analysis including:
- The tools and data required such as the crash utility, kernel symbol files, vmcore files
- How to install and use these components
- Basic crash commands to analyze system, memory, storage, and network subsystems
- How to dynamically load crash extension modules to add custom commands
Linux Crash Dump Capture and Analysis
This document discusses Linux kernel crash capture and analysis. It begins with an overview of what constitutes a kernel crash and reasons crashes may occur, both from hardware and software issues. It then covers using kdump to capture virtual memory cores (vmcores) when a crash happens, and configuring kdump for optimal core collection. Finally, it discusses analyzing vmcores after collection using the crash utility, including commands to inspect system information, backtraces, logs, and more.
Kdump and the kernel crash dump analysis
Kdump is a kernel crash dumping mechanism that uses kexec to load a separate crash kernel to capture a kernel memory dump (vmcore file) when the primary kernel crashes. It can be configured to dump the vmcore file to local storage or over the network. Testing involves triggering a kernel panic using SysRq keys which causes the crash kernel to load and dump diagnostic information to the configured target path for analysis.
Linux Kernel Crashdump
The document discusses analyzing Linux kernel crash dumps. It covers various ways to gather crash data like serial console, netconsole, kmsg dumpers, Kdump, and Pstore. It then discusses analyzing the crashed kernel using tools like ksymoops, crash utility, and examining the backtrace, kernel logs, processes, and file descriptors. The document provides examples of gathering data from Pstore and using commands like bt, log, and ps with the crash utility to extract information from a crash dump.
Kernel Recipes 2015 - Kernel dump analysis
Kernel dump analysis
Cloud this, cloud that…It’s making everything easier, especially for web hosted services. But what about the servers that are not supposed to crash ? For applications making the assumption the OS won’t do any fault or go down, what can you write in your post-mortem once the server froze and has been restarted ? How to track down the bug that lead to service unavailability ?
In this talk, we’ll see how to setup kdump and how to panic a server to generate a coredump. Once you have the vmcore file, how to track the issue with “crash” tool to find why your OS went down. Last but not least : with “crash” you can also modify your live kernel, the same way you would do with gdb.
Adrien Mahieux – System administrator obsessed with performance and uptime, tracking down microseconds from hardware to software since 2011. The application must be seen as a whole to provide efficiently the requested service. This includes searching for bottlenecks and tradeoffs, design issues or hardware optimization.
Kernel crashdump
When your whole system is unresponsive, how to investigate on this failure ?
We'll see how to get a memory dump for offline analysis with kdump system.
Then how to analyze it with crash utility.
And finally, how to use crash on a running system to modify the kernel memory (at your own risks !)
Kdump-FUDcon-2015-Session
This document provides an introduction to kdump and kernel crash dump analysis. It discusses kexec, which allows fast rebooting by loading a new kernel from an already running kernel. Kdump uses kexec to boot a capture kernel to analyze the state of a crashed production kernel and capture a vmcore dump file. The document outlines how to configure kdump by reserving memory, setting the dump target, enabling the kdump service, and testing a crash. Kernel crash dumps can be analyzed using the crash utility to help debug issues.
Debugging linux kernel tools and techniques
This document discusses tools and techniques for debugging the Linux kernel, including debuggers like gdb, built-in debugging facilities, system logs, and crash dump analysis tools like LKCD. It outlines common issues like kernel crashes and hangs, and provides an example of analyzing an "oops" crash dump to identify the failing line of code through tools like ksymoops. It also covers generating a full system memory dump using LKCD for thorough crash investigation.
Recommended
Kernel_Crash_Dump_Analysis
The document provides an overview of kernel crash dump analysis including:
- The tools and data required such as the crash utility, kernel symbol files, vmcore files
- How to install and use these components
- Basic crash commands to analyze system, memory, storage, and network subsystems
- How to dynamically load crash extension modules to add custom commands
Linux Crash Dump Capture and Analysis
This document discusses Linux kernel crash capture and analysis. It begins with an overview of what constitutes a kernel crash and reasons crashes may occur, both from hardware and software issues. It then covers using kdump to capture virtual memory cores (vmcores) when a crash happens, and configuring kdump for optimal core collection. Finally, it discusses analyzing vmcores after collection using the crash utility, including commands to inspect system information, backtraces, logs, and more.
Kdump and the kernel crash dump analysis
Kdump is a kernel crash dumping mechanism that uses kexec to load a separate crash kernel to capture a kernel memory dump (vmcore file) when the primary kernel crashes. It can be configured to dump the vmcore file to local storage or over the network. Testing involves triggering a kernel panic using SysRq keys which causes the crash kernel to load and dump diagnostic information to the configured target path for analysis.
Linux Kernel Crashdump
The document discusses analyzing Linux kernel crash dumps. It covers various ways to gather crash data like serial console, netconsole, kmsg dumpers, Kdump, and Pstore. It then discusses analyzing the crashed kernel using tools like ksymoops, crash utility, and examining the backtrace, kernel logs, processes, and file descriptors. The document provides examples of gathering data from Pstore and using commands like bt, log, and ps with the crash utility to extract information from a crash dump.
Kernel Recipes 2015 - Kernel dump analysis
Kernel dump analysis
Cloud this, cloud that…It’s making everything easier, especially for web hosted services. But what about the servers that are not supposed to crash ? For applications making the assumption the OS won’t do any fault or go down, what can you write in your post-mortem once the server froze and has been restarted ? How to track down the bug that lead to service unavailability ?
In this talk, we’ll see how to setup kdump and how to panic a server to generate a coredump. Once you have the vmcore file, how to track the issue with “crash” tool to find why your OS went down. Last but not least : with “crash” you can also modify your live kernel, the same way you would do with gdb.
Adrien Mahieux – System administrator obsessed with performance and uptime, tracking down microseconds from hardware to software since 2011. The application must be seen as a whole to provide efficiently the requested service. This includes searching for bottlenecks and tradeoffs, design issues or hardware optimization.
Kernel crashdump
When your whole system is unresponsive, how to investigate on this failure ?
We'll see how to get a memory dump for offline analysis with kdump system.
Then how to analyze it with crash utility.
And finally, how to use crash on a running system to modify the kernel memory (at your own risks !)
Kdump-FUDcon-2015-Session
This document provides an introduction to kdump and kernel crash dump analysis. It discusses kexec, which allows fast rebooting by loading a new kernel from an already running kernel. Kdump uses kexec to boot a capture kernel to analyze the state of a crashed production kernel and capture a vmcore dump file. The document outlines how to configure kdump by reserving memory, setting the dump target, enabling the kdump service, and testing a crash. Kernel crash dumps can be analyzed using the crash utility to help debug issues.
Debugging linux kernel tools and techniques
This document discusses tools and techniques for debugging the Linux kernel, including debuggers like gdb, built-in debugging facilities, system logs, and crash dump analysis tools like LKCD. It outlines common issues like kernel crashes and hangs, and provides an example of analyzing an "oops" crash dump to identify the failing line of code through tools like ksymoops. It also covers generating a full system memory dump using LKCD for thorough crash investigation.
Kernel Recipes 2015 - Porting Linux to a new processor architecture
Getting the Linux kernel running on a new processor architecture is a difficult process. Worse still, there is not much documentation available describing the porting process.
After spending countless hours becoming almost fluent in many of the supported architectures, I discovered that a well-defined skeleton shared by the majority of ports exists. Such a skeleton can logically be split into two parts that intersect a great deal.
The first part is the boot code, meaning the architecture-specific code that is executed from the moment the kernel takes over from the bootloader until init is finally executed. The second part concerns the architecture-specific code that is regularly executed once the booting phase has been completed and the kernel is running normally. This second part includes starting new threads, dealing with hardware interrupts or software exceptions, copying data from/to user applications, serving system calls, and so on.
In this talk I will provide an overview of the procedure, or at least one possible procedure, that can be followed when porting the Linux kernel to a new processor architecture.
Joël Porquet – Joël was a post-doc at Pierre and Marie Curie University (UPMC) where he ported Linux to TSAR, an academic processor. He is now looking for new adventures.
Kernel Recipes 2015: Kernel packet capture technologies
Sniffing through the ages
Capturing packets running on the wire to send them to a software doing analysis seems at first sight a simple tasks. But one has not to forget that with current network this can means capturing 30M packets per second. The objective of this talk is to show what methods and techniques have been implemented in Linux and how they have evolved over time.
The talk will cover AF_PACKET capture as well as PF_RING, dpdk and netmap. It will try to show how the various evolution of hardware and software have had an impact on the design of these technologies. Regarding software a special focus will be made on Suricata IDS which is implementing most of these capture methods.
Eric Leblond, Stamus Networks
Linux kernel debugging
This document discusses Linux kernel debugging. It provides an overview of debugging techniques including collecting system information, handling failures, and using printk(), KGDB, and debuggers. Key points covered are the components of a debugger, how KGDB can be used with gdb to debug interactively, analyzing crash data, and some debugging tricks and print functions.
USENIX ATC 2017 Performance Superpowers with Enhanced BPF
Talk for USENIX ATC 2017 by Brendan Gregg
"The Berkeley Packet Filter (BPF) in Linux has been enhanced in very recent versions to do much more than just filter packets, and has become a hot area of operating systems innovation, with much more yet to be discovered. BPF is a sandboxed virtual machine that runs user-level defined programs in kernel context, and is part of many kernels. The Linux enhancements allow it to run custom programs on other events, including kernel- and user-level dynamic tracing (kprobes and uprobes), static tracing (tracepoints), and hardware events. This is finding uses for the generation of new performance analysis tools, network acceleration technologies, and security intrusion detection systems.
This talk will explain the BPF enhancements, then discuss the new performance observability tools that are in use and being created, especially from the BPF compiler collection (bcc) open source project. These tools provide new insights for file system and storage performance, CPU scheduler performance, TCP performance, and much more. This is a major turning point for Linux systems engineering, as custom advanced performance instrumentation can be used safely in production environments, powering a new generation of tools and visualizations.
Because these BPF enhancements are only in very recent Linux (such as Linux 4.9), most companies are not yet running new enough kernels to be exploring BPF yet. This will change in the next year or two, as companies including Netflix upgrade their kernels. This talk will give you a head start on this growing technology, and also discuss areas of future work and unsolved problems."
bcc/BPF tools - Strategy, current tools, future challenges
Brendan Gregg discusses the current state and future potential of BPF and BCC tools for observability in Linux. He outlines 18 areas where BPF support has progressed and 16 areas still needing work. Gregg also discusses challenges like dynamic tracing stability, overhead, ease of coding, and developing visualizations. He proposes finishing ports of his old DTrace tools and links to resources on BPF, BCC, and flame graphs.
How to Root 10 Million Phones with One Exploit
This document discusses how to root 107 different phone models using a single exploit from 2014. It begins by introducing the author and their background in rooting phones. It then provides historical context on Android rooting methods over time, from early hidden root consoles to exploits of OTA updates, daemons, and kernels. The document focuses on a technique called DKOM (Direct Kernel Object Manipulation) to achieve root access by manipulating kernel objects like task structures even with only write-anywhere capabilities. It analyzes an exploit from 2013 that enabled this technique to root 42% of phones at the time.
Kernel Recipes 2015: Introduction to Kernel Power Management
The document introduces kernel power management concepts in Linux, including static and dynamic power management, idle power management for CPUs and devices, and the evolving driver model. It covers key frameworks like CPU frequency scaling, regulators, runtime power management, and power domains. Documentation files are referenced throughout for further reading.
Make Your Containers Faster: Linux Container Performance Tools
If you look under the hood, Linux containers are just processes with some isolation features and resource quotas sprinkled on top. In this talk, we will apply modern Linux performance tools to container analysis: get high-level resource utilization on running containers with docker stats, htop, and nsenter; dig into high-CPU issues with perf; detect slow filesystem latency with BPF-based tools; and generate flame graphs of interesting event call stacks.
Sasha Goldshtein is the CTO of Sela Group, a Microsoft MVP and Regional Director, Pluralsight and O'Reilly author, and international consultant and trainer. Sasha is the author of two books and multiple online courses, and a prolific blogger. He is also an active open source contributor to projects focused on system diagnostics, performance monitoring, and tracing -- across multiple operating systems and runtimes. Sasha authored and delivered training courses on Linux performance optimization, event tracing, production debugging, mobile application development, and modern C++. Between his consulting engagements, Sasha speaks at international conferences world-wide.
You can find more details on the meetup page - https://www.meetup.com/Tel-Aviv-Yafo-Linux-Kernel-Meetup/events/245319189/
SystemV vs systemd
This document provides an overview of the differences between SystemV and systemd for initializing Linux systems. It begins with some background on systemd and its objectives to improve on outdated SystemV startup processes. The document then covers key aspects of systemd such as its functions, strategy of on-demand starting of services, and implementation details. It also discusses the benefits of systemd and compares some pros and cons between the two approaches.
Proxy arp
The document discusses using proxy ARP to allow multiple containers and VMs to share a single network interface on the host machine. It notes some limitations of alternative approaches like Linux bridges, Open vSwitch, and MACVLAN. It also describes some issues with proxy ARP like stealing MAC addresses and requiring static routing. The proposed solution is to use arptables to selectively allow ARP requests from specific IP addresses to prevent MAC address conflicts while enabling network access for containers and VMs.
Linux 4.x Tracing: Performance Analysis with bcc/BPF
Talk about bcc/eBPF for SCALE15x (2017) by Brendan Gregg. "BPF (Berkeley Packet Filter) has been enhanced in the Linux 4.x series and now powers a large collection of performance analysis and observability tools ready for you to use, included in the bcc (BPF Complier Collection) open source project. BPF nowadays can do system tracing, software defined networks, and kernel fast path: much more than just filtering packets! This talk will focus on the bcc/BPF tools for performance analysis, which make use of other built in Linux capabilities: dynamic tracing (kprobes and uprobes) and static tracing (tracepoints and USDT). There are now bcc tools for measuring latency distributions for file system I/O and run queue latency, printing details of storage device I/O and TCP retransmits, investigating blocked stack traces and memory leaks, and a whole lot more. These lead to performance wins large and small, especially when instrumenting areas that previously had zero visibility. Tracing superpowers have finally arrived, built in to Linux."
USENIX ATC 2017: Visualizing Performance with Flame Graphs
Talk by Brendan Gregg for USENIX ATC 2017.
"Flame graphs are a simple stack trace visualization that helps answer an everyday problem: how is software consuming resources, especially CPUs, and how did this change since the last software version? Flame graphs have been adopted by many languages, products, and companies, including Netflix, and have become a standard tool for performance analysis. They were published in "The Flame Graph" article in the June 2016 issue of Communications of the ACM, by their creator, Brendan Gregg.
This talk describes the background for this work, and the challenges encountered when profiling stack traces and resolving symbols for different languages, including for just-in-time compiler runtimes. Instructions will be included generating mixed-mode flame graphs on Linux, and examples from our use at Netflix with Java. Advanced flame graph types will be described, including differential, off-CPU, chain graphs, memory, and TCP events. Finally, future work and unsolved problems in this area will be discussed."
Kernel Recipes 2019 - Hunting and fixing bugs all over the Linux kernel
At a rate of almost 9 changes per hour (24/7), the Linux kernel is definitely a scary beast. Bugs are introduced on a daily basis and, through the use of multiple code analyzers, *some* of them are detected and fixed before they hit mainline. Over the course of the last few years, Gustavo has been fixing such bugs and many different issues in every corner of the Linux kernel. Recently, he was in charge of leading the efforts to globally enable -Wimplicit-fallthrough; which appears by default in Linux v5.3. This presentation is a report on all the stuff Gustavo has found and fixed in the kernel with the support of the Core Infrastructure Initiative.
Gustavo A.R. Silva
Troubleshooting Linux Kernel Modules And Device Drivers
The document discusses various techniques for debugging Linux kernel modules and device drivers, including:
1) Using printk statements to output debug messages from kernel space.
2) Watching system calls with strace to debug interactions between user and kernel space.
3) Adding /proc file system entries and write functions to dynamically modify driver values at runtime.
4) Enabling source-level debugging with tools like kgdb to debug at the level of C source code.
Kernel Recipes 2015 - Hardened kernels for everyone
Grsecurity is a Linux kernel hardening patch. The PaX patchset it includes pioneered some security features like ASLR which where later included in basically every operating system. But the patch itself is still standalone (not included mainline), so most Linux users don’t benefit its security features.
A lot of people only use binary distribution kernels, and this talk will present some challenges found when trying to provide a distribution kernel with Grsecurity included.
I’ll first quickly present the grsecurity patch, then the attempt to include it in the Debian distribution kernel as a featureset. Finally there will be some pointers on how to provide hardened kernels easily for as many people as possible.
Yves-Alexis Perez, ANSSI
Building
The document discusses building an embedded Linux system on a Samsung 2410 platform. It covers basic concepts like cross-development environments, developing on a host machine to target embedded devices. It also covers configuring and building the Linux kernel, creating a root filesystem with BusyBox utilities, setting up the boot process, and developing device drivers. The goal is to provide guidance on creating a custom embedded Linux system targeting specific hardware.
Linux Tracing Superpowers by Eugene Pirogov
This document discusses Linux tracing tools and the evolution from DTrace on BSD to eBPF on Linux. It begins with an overview of DTrace and its capabilities on BSD, then discusses the limitations of early Linux tracing tools. It introduces eBPF and the BCC compiler collection, which make it easier to write and use eBPF programs. Examples are given showing how BCC can be used to trace system calls, file opens, and command executions. The document argues that BCC and eBPF help address the problems of early Linux tracing by making the tools more approachable and powerful for production use.
Crash Dump Analysis 101
The document provides an overview and introduction to crash dump analysis on Nexenta systems. It discusses core dumps, crash dumps, the panic process, and basic crash dump analysis using mdb. Key topics include process and thread terminology, interrupts and traps, hangs vs crashes vs panics, forensic data sources like console logs and crash dumps, and C language basics relevant to crash analysis like data types and functions. Examples of panic strings, stack traces, and thread lists from crash dumps are also provided, as well as guidance on determining if an issue is hardware, firmware, or software-related.
Linux kernel debugging(ODP format)
The document discusses kernel debugging techniques. It covers analyzing kernel error logs, debugging memory errors, detecting kernel deadlocks, and troubleshooting login issues. The key debugging techniques mentioned are using kernel log functions to output error information, understanding the structure of kernel bug logs, tracing from assembly to C code, and using tools like AddressSanitizer to detect memory errors.
Kernel Recipes 2017 - Understanding the Linux kernel via ftrace - Steven Rostedt
Ftrace is the official tracer of the Linux kernel. It has been apart of Linux since 2.6.31, and has grown tremendously ever since. Ftrace’s name comes from its most powerful feature: function tracing. But the ftrace infrastructure is much more than that. It also encompasses the trace events that are used by perf, as well as kprobes that can dynamically add trace events that the user defines.
This talk will focus on learning how the kernel works by using the ftrace infrastructure. It will show how to see what happens within the kernel during a system call; learn how interrupts work; see how ones processes are being scheduled, and more. A quick introduction to some tools like trace-cmd and KernelShark will also be demonstrated.
Steven Rostedt, VMware
Introduction to Linux Kernel Development
This document provides an introduction to Linux kernel development. It discusses the basics of the kernel including its responsibilities and types. It covers the process of building the kernel using Kconfig and Makefiles. It also describes the kernel API and common data structures used for threading, modules, and devices. Finally, it discusses best practices for patching the kernel including code style checks and signing off on changes.
Web Server Free Bsd
The document provides instructions for updating the FreeBSD 7.2 ports tree on a WebServer. The following steps are outlined:
1. Log in as the user "sermpan" and su to root.
2. Extract a backup of the ports tree files from /backups/distfiles72.tar.
3. Install and clean the cvsup port to update the ports tree files.
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Kernel Recipes 2015 - Porting Linux to a new processor architecture
Getting the Linux kernel running on a new processor architecture is a difficult process. Worse still, there is not much documentation available describing the porting process.
After spending countless hours becoming almost fluent in many of the supported architectures, I discovered that a well-defined skeleton shared by the majority of ports exists. Such a skeleton can logically be split into two parts that intersect a great deal.
The first part is the boot code, meaning the architecture-specific code that is executed from the moment the kernel takes over from the bootloader until init is finally executed. The second part concerns the architecture-specific code that is regularly executed once the booting phase has been completed and the kernel is running normally. This second part includes starting new threads, dealing with hardware interrupts or software exceptions, copying data from/to user applications, serving system calls, and so on.
In this talk I will provide an overview of the procedure, or at least one possible procedure, that can be followed when porting the Linux kernel to a new processor architecture.
Joël Porquet – Joël was a post-doc at Pierre and Marie Curie University (UPMC) where he ported Linux to TSAR, an academic processor. He is now looking for new adventures.
Kernel Recipes 2015: Kernel packet capture technologies
Sniffing through the ages
Capturing packets running on the wire to send them to a software doing analysis seems at first sight a simple tasks. But one has not to forget that with current network this can means capturing 30M packets per second. The objective of this talk is to show what methods and techniques have been implemented in Linux and how they have evolved over time.
The talk will cover AF_PACKET capture as well as PF_RING, dpdk and netmap. It will try to show how the various evolution of hardware and software have had an impact on the design of these technologies. Regarding software a special focus will be made on Suricata IDS which is implementing most of these capture methods.
Eric Leblond, Stamus Networks
Linux kernel debugging
This document discusses Linux kernel debugging. It provides an overview of debugging techniques including collecting system information, handling failures, and using printk(), KGDB, and debuggers. Key points covered are the components of a debugger, how KGDB can be used with gdb to debug interactively, analyzing crash data, and some debugging tricks and print functions.
USENIX ATC 2017 Performance Superpowers with Enhanced BPF
Talk for USENIX ATC 2017 by Brendan Gregg
"The Berkeley Packet Filter (BPF) in Linux has been enhanced in very recent versions to do much more than just filter packets, and has become a hot area of operating systems innovation, with much more yet to be discovered. BPF is a sandboxed virtual machine that runs user-level defined programs in kernel context, and is part of many kernels. The Linux enhancements allow it to run custom programs on other events, including kernel- and user-level dynamic tracing (kprobes and uprobes), static tracing (tracepoints), and hardware events. This is finding uses for the generation of new performance analysis tools, network acceleration technologies, and security intrusion detection systems.
This talk will explain the BPF enhancements, then discuss the new performance observability tools that are in use and being created, especially from the BPF compiler collection (bcc) open source project. These tools provide new insights for file system and storage performance, CPU scheduler performance, TCP performance, and much more. This is a major turning point for Linux systems engineering, as custom advanced performance instrumentation can be used safely in production environments, powering a new generation of tools and visualizations.
Because these BPF enhancements are only in very recent Linux (such as Linux 4.9), most companies are not yet running new enough kernels to be exploring BPF yet. This will change in the next year or two, as companies including Netflix upgrade their kernels. This talk will give you a head start on this growing technology, and also discuss areas of future work and unsolved problems."
bcc/BPF tools - Strategy, current tools, future challenges
Brendan Gregg discusses the current state and future potential of BPF and BCC tools for observability in Linux. He outlines 18 areas where BPF support has progressed and 16 areas still needing work. Gregg also discusses challenges like dynamic tracing stability, overhead, ease of coding, and developing visualizations. He proposes finishing ports of his old DTrace tools and links to resources on BPF, BCC, and flame graphs.
How to Root 10 Million Phones with One Exploit
This document discusses how to root 107 different phone models using a single exploit from 2014. It begins by introducing the author and their background in rooting phones. It then provides historical context on Android rooting methods over time, from early hidden root consoles to exploits of OTA updates, daemons, and kernels. The document focuses on a technique called DKOM (Direct Kernel Object Manipulation) to achieve root access by manipulating kernel objects like task structures even with only write-anywhere capabilities. It analyzes an exploit from 2013 that enabled this technique to root 42% of phones at the time.
Kernel Recipes 2015: Introduction to Kernel Power Management
The document introduces kernel power management concepts in Linux, including static and dynamic power management, idle power management for CPUs and devices, and the evolving driver model. It covers key frameworks like CPU frequency scaling, regulators, runtime power management, and power domains. Documentation files are referenced throughout for further reading.
Make Your Containers Faster: Linux Container Performance Tools
If you look under the hood, Linux containers are just processes with some isolation features and resource quotas sprinkled on top. In this talk, we will apply modern Linux performance tools to container analysis: get high-level resource utilization on running containers with docker stats, htop, and nsenter; dig into high-CPU issues with perf; detect slow filesystem latency with BPF-based tools; and generate flame graphs of interesting event call stacks.
Sasha Goldshtein is the CTO of Sela Group, a Microsoft MVP and Regional Director, Pluralsight and O'Reilly author, and international consultant and trainer. Sasha is the author of two books and multiple online courses, and a prolific blogger. He is also an active open source contributor to projects focused on system diagnostics, performance monitoring, and tracing -- across multiple operating systems and runtimes. Sasha authored and delivered training courses on Linux performance optimization, event tracing, production debugging, mobile application development, and modern C++. Between his consulting engagements, Sasha speaks at international conferences world-wide.
You can find more details on the meetup page - https://www.meetup.com/Tel-Aviv-Yafo-Linux-Kernel-Meetup/events/245319189/
SystemV vs systemd
This document provides an overview of the differences between SystemV and systemd for initializing Linux systems. It begins with some background on systemd and its objectives to improve on outdated SystemV startup processes. The document then covers key aspects of systemd such as its functions, strategy of on-demand starting of services, and implementation details. It also discusses the benefits of systemd and compares some pros and cons between the two approaches.
Proxy arp
The document discusses using proxy ARP to allow multiple containers and VMs to share a single network interface on the host machine. It notes some limitations of alternative approaches like Linux bridges, Open vSwitch, and MACVLAN. It also describes some issues with proxy ARP like stealing MAC addresses and requiring static routing. The proposed solution is to use arptables to selectively allow ARP requests from specific IP addresses to prevent MAC address conflicts while enabling network access for containers and VMs.
Linux 4.x Tracing: Performance Analysis with bcc/BPF
Talk about bcc/eBPF for SCALE15x (2017) by Brendan Gregg. "BPF (Berkeley Packet Filter) has been enhanced in the Linux 4.x series and now powers a large collection of performance analysis and observability tools ready for you to use, included in the bcc (BPF Complier Collection) open source project. BPF nowadays can do system tracing, software defined networks, and kernel fast path: much more than just filtering packets! This talk will focus on the bcc/BPF tools for performance analysis, which make use of other built in Linux capabilities: dynamic tracing (kprobes and uprobes) and static tracing (tracepoints and USDT). There are now bcc tools for measuring latency distributions for file system I/O and run queue latency, printing details of storage device I/O and TCP retransmits, investigating blocked stack traces and memory leaks, and a whole lot more. These lead to performance wins large and small, especially when instrumenting areas that previously had zero visibility. Tracing superpowers have finally arrived, built in to Linux."
USENIX ATC 2017: Visualizing Performance with Flame Graphs
Talk by Brendan Gregg for USENIX ATC 2017.
"Flame graphs are a simple stack trace visualization that helps answer an everyday problem: how is software consuming resources, especially CPUs, and how did this change since the last software version? Flame graphs have been adopted by many languages, products, and companies, including Netflix, and have become a standard tool for performance analysis. They were published in "The Flame Graph" article in the June 2016 issue of Communications of the ACM, by their creator, Brendan Gregg.
This talk describes the background for this work, and the challenges encountered when profiling stack traces and resolving symbols for different languages, including for just-in-time compiler runtimes. Instructions will be included generating mixed-mode flame graphs on Linux, and examples from our use at Netflix with Java. Advanced flame graph types will be described, including differential, off-CPU, chain graphs, memory, and TCP events. Finally, future work and unsolved problems in this area will be discussed."
Kernel Recipes 2019 - Hunting and fixing bugs all over the Linux kernel
At a rate of almost 9 changes per hour (24/7), the Linux kernel is definitely a scary beast. Bugs are introduced on a daily basis and, through the use of multiple code analyzers, *some* of them are detected and fixed before they hit mainline. Over the course of the last few years, Gustavo has been fixing such bugs and many different issues in every corner of the Linux kernel. Recently, he was in charge of leading the efforts to globally enable -Wimplicit-fallthrough; which appears by default in Linux v5.3. This presentation is a report on all the stuff Gustavo has found and fixed in the kernel with the support of the Core Infrastructure Initiative.
Gustavo A.R. Silva
Troubleshooting Linux Kernel Modules And Device Drivers
The document discusses various techniques for debugging Linux kernel modules and device drivers, including:
1) Using printk statements to output debug messages from kernel space.
2) Watching system calls with strace to debug interactions between user and kernel space.
3) Adding /proc file system entries and write functions to dynamically modify driver values at runtime.
4) Enabling source-level debugging with tools like kgdb to debug at the level of C source code.
Kernel Recipes 2015 - Hardened kernels for everyone
Grsecurity is a Linux kernel hardening patch. The PaX patchset it includes pioneered some security features like ASLR which where later included in basically every operating system. But the patch itself is still standalone (not included mainline), so most Linux users don’t benefit its security features.
A lot of people only use binary distribution kernels, and this talk will present some challenges found when trying to provide a distribution kernel with Grsecurity included.
I’ll first quickly present the grsecurity patch, then the attempt to include it in the Debian distribution kernel as a featureset. Finally there will be some pointers on how to provide hardened kernels easily for as many people as possible.
Yves-Alexis Perez, ANSSI
Building
The document discusses building an embedded Linux system on a Samsung 2410 platform. It covers basic concepts like cross-development environments, developing on a host machine to target embedded devices. It also covers configuring and building the Linux kernel, creating a root filesystem with BusyBox utilities, setting up the boot process, and developing device drivers. The goal is to provide guidance on creating a custom embedded Linux system targeting specific hardware.
Linux Tracing Superpowers by Eugene Pirogov
This document discusses Linux tracing tools and the evolution from DTrace on BSD to eBPF on Linux. It begins with an overview of DTrace and its capabilities on BSD, then discusses the limitations of early Linux tracing tools. It introduces eBPF and the BCC compiler collection, which make it easier to write and use eBPF programs. Examples are given showing how BCC can be used to trace system calls, file opens, and command executions. The document argues that BCC and eBPF help address the problems of early Linux tracing by making the tools more approachable and powerful for production use.
Crash Dump Analysis 101
The document provides an overview and introduction to crash dump analysis on Nexenta systems. It discusses core dumps, crash dumps, the panic process, and basic crash dump analysis using mdb. Key topics include process and thread terminology, interrupts and traps, hangs vs crashes vs panics, forensic data sources like console logs and crash dumps, and C language basics relevant to crash analysis like data types and functions. Examples of panic strings, stack traces, and thread lists from crash dumps are also provided, as well as guidance on determining if an issue is hardware, firmware, or software-related.
Linux kernel debugging(ODP format)
The document discusses kernel debugging techniques. It covers analyzing kernel error logs, debugging memory errors, detecting kernel deadlocks, and troubleshooting login issues. The key debugging techniques mentioned are using kernel log functions to output error information, understanding the structure of kernel bug logs, tracing from assembly to C code, and using tools like AddressSanitizer to detect memory errors.
Kernel Recipes 2017 - Understanding the Linux kernel via ftrace - Steven Rostedt
Ftrace is the official tracer of the Linux kernel. It has been apart of Linux since 2.6.31, and has grown tremendously ever since. Ftrace’s name comes from its most powerful feature: function tracing. But the ftrace infrastructure is much more than that. It also encompasses the trace events that are used by perf, as well as kprobes that can dynamically add trace events that the user defines.
This talk will focus on learning how the kernel works by using the ftrace infrastructure. It will show how to see what happens within the kernel during a system call; learn how interrupts work; see how ones processes are being scheduled, and more. A quick introduction to some tools like trace-cmd and KernelShark will also be demonstrated.
Steven Rostedt, VMware
What's hot (20)
Kernel Recipes 2015 - Porting Linux to a new processor architecture
Kernel Recipes 2015 - Porting Linux to a new processor architecture
Kernel Recipes 2015: Kernel packet capture technologies
Kernel Recipes 2015: Kernel packet capture technologies
USENIX ATC 2017 Performance Superpowers with Enhanced BPF
USENIX ATC 2017 Performance Superpowers with Enhanced BPF
bcc/BPF tools - Strategy, current tools, future challenges
bcc/BPF tools - Strategy, current tools, future challenges
Kernel Recipes 2015: Introduction to Kernel Power Management
Kernel Recipes 2015: Introduction to Kernel Power Management
Make Your Containers Faster: Linux Container Performance Tools
Make Your Containers Faster: Linux Container Performance Tools
Linux 4.x Tracing: Performance Analysis with bcc/BPF
Linux 4.x Tracing: Performance Analysis with bcc/BPF
USENIX ATC 2017: Visualizing Performance with Flame Graphs
USENIX ATC 2017: Visualizing Performance with Flame Graphs
Kernel Recipes 2019 - Hunting and fixing bugs all over the Linux kernel
Kernel Recipes 2019 - Hunting and fixing bugs all over the Linux kernel
Troubleshooting Linux Kernel Modules And Device Drivers
Troubleshooting Linux Kernel Modules And Device Drivers
Kernel Recipes 2015 - Hardened kernels for everyone
Kernel Recipes 2015 - Hardened kernels for everyone
Kernel Recipes 2017 - Understanding the Linux kernel via ftrace - Steven Rostedt
Kernel Recipes 2017 - Understanding the Linux kernel via ftrace - Steven Rostedt
Similar to Linux Kernel Debugging Essentials workshop
Introduction to Linux Kernel Development
This document provides an introduction to Linux kernel development. It discusses the basics of the kernel including its responsibilities and types. It covers the process of building the kernel using Kconfig and Makefiles. It also describes the kernel API and common data structures used for threading, modules, and devices. Finally, it discusses best practices for patching the kernel including code style checks and signing off on changes.
Web Server Free Bsd
The document provides instructions for updating the FreeBSD 7.2 ports tree on a WebServer. The following steps are outlined:
1. Log in as the user "sermpan" and su to root.
2. Extract a backup of the ports tree files from /backups/distfiles72.tar.
3. Install and clean the cvsup port to update the ports tree files.
Lec 10-linux-review
This document provides an overview of embedded Linux for an embedded systems design course. It discusses various commercial and open source embedded Linux distributions and their characteristics. It also covers important topics for embedded Linux including tool chains, the Linux kernel, debugging, driver development, memory management, and synchronization techniques. Example code snippets are provided for common Linux system programming tasks like file I/O, processes, threads, IPC, signals, and sockets. Cross-compiling for embedded targets is also briefly explained.
NodeMCU with Blynk and Firebase
Introduction to NodeMCU, an IoT Development Board based on ESP8266 SoC
Accessing NodeMCU with Blynk
Connecting NodeMCU to Firebase
Basic Linux Internals
The document provides an introduction to Linux and device drivers. It discusses Linux directory structure, kernel components, kernel modules, character drivers, and registering drivers. Key topics include dynamically loading modules, major and minor numbers, private data, and communicating with hardware via I/O ports and memory mapping.
Lecture 5 Kernel Development
This document discusses kernel modules in FreeBSD. It explains that some modules need to be compiled into the kernel, while others can be loaded dynamically at runtime. It provides instructions for compiling a custom kernel configuration and installing the new kernel. It also describes how to build and load kernel loadable modules (KLDs) dynamically using kldload and kldstat commands. The key steps for creating a basic kernel module are outlined, including using the bsd.kmod.mk makefile and declaring the module with events for load and unload.
Basics_of_Kernel_Panic_Hang_and_ Kdump.pdf
The document discusses various methods for capturing a kernel crash dump (vmcore) file when the Linux kernel panics or a system hangs. It describes (1) kdump and how it uses kexec to boot a capture kernel to dump memory on a panic, (2) triggering a panic manually using SysRq keys or NMI, and (3) tools for dumping memory on physical and virtual systems during a hang.
Recipe of a linux Live CD (archived)
The document discusses the process of creating a Linux LiveCD, including:
- Understanding the Linux boot process and how it differs for a LiveCD, which loads files directly from the CD.
- How hardware detection works by using tools to identify system components and load appropriate drivers.
- Achieving data persistence on a LiveCD by saving configuration files and user data to external storage like USB drives.
- A short survey of popular Linux LiveCD distributions like Knoppix, Mepis, and SLAX.
Linux Module Programming
This document provides an introduction to Linux kernel modules and device drivers. It discusses what kernel modules are, how they are loaded and unloaded, and provides examples of "Hello World" kernel modules. It also discusses device drivers, specifically character device drivers, and how they interface with the kernel via file operations structures. Major and minor numbers are introduced as how devices are identified. The document is intended to teach the basics of Linux kernel module and device driver programming.
[KubeCon NA 2020] containerd: Rootless Containers 2020
Rootless Containers means running the container runtimes (e.g. runc, containerd, and kubelet) as well as the containers without the host root privileges. The most significant advantage of Rootless Containers is that it can mitigate potential container-breakout vulnerability of the runtimes, but it is also useful for isolating multi-user environments on HPC hosts. This talk will contain the introduction to rootless containers and deep-dive topics about the recent updates such as Seccomp User Notification. The main focus will be on containerd (CNCF Graduated Project) and its consumer projects including Kubernetes and Docker/Moby, but topics about other runtimes will be discussed as well.
https://sched.co/fGWc
Talk 160920 @ Cat System Workshop
The document discusses dynamically hacking the Linux kernel with containers. It begins by introducing the speaker and their research interests. It then discusses three ways to modify the kernel space: kernel modules, live patching, and kernel detouring. Kernel detouring allows hijacking system calls within containers for cross-OS compatibility. Challenges include insufficient isolation and limited development. The talk demonstrates a proof-of-concept of running FreeBSD binaries on Linux using kernel detouring and containers. It remapped Linux system calls to FreeBSD equivalents and provided a FreeBSD environment within a Linux container.
Development platform virtualization using qemu
This document describes how to set up platform virtualization using Qemu to boot a custom Linux kernel for testing purposes. It involves installing Qemu, building Busybox to create an initramfs file system, configuring and building a custom Linux kernel, and using Qemu to boot the kernel image with the initramfs for virtual testing and debugging.
Porting Android
Porting Android to new hardware involves 10 main steps:
1) Porting components like the CPU, bootloader, kernel and hardware libraries.
2) Setting up a cross-development toolchain.
3) Porting the bootloader, kernel, and developing device drivers.
4) Getting the Android Open Source Project code and customizing aspects of the user-space.
5) Implementing Android hardware libraries for components like Bluetooth, WiFi, display and sensors.
The process requires adapting the bootloader, kernel, drivers and libraries to support the new hardware while maintaining Android compatibility.
Porting Android ABS 2011
Porting Android to new hardware involves 10 main steps:
1) Porting components like the CPU, bootloader, kernel and hardware libraries.
2) Setting up a cross-development toolchain.
3) Porting the bootloader, kernel, and developing device drivers.
4) Getting the Android Open Source Project code and customizing aspects of the user experience.
5) Implementing Android hardware libraries for components like Bluetooth, WiFi, display and sensors.
[DockerCon 2019] Hardening Docker daemon with Rootless mode
https://dockercon19.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=281879
Docker CE 19.03 is going to support "Rootless mode", which allows running the entire Docker daemon and its dependencies as a non-root user on the host, so as to protect the host from malicious containers in a simple but very strong way. Rootless mode is also attractive for users who cannot get `sudo` permission for installing Docker on shared computing machines. e.g. HPC users. In this talk, Akihiro Suda, the author of the Rootless mode (PR: moby#38050), will explain how users can get started with Rootless mode. He will also explain the implementation details of Rootless mode and planned enhancements such as LDAP integration.
DCSF19 Hardening Docker daemon with Rootless mode
Akihiro Suda, NTT Corporation
Docker CE 19.03 is going to support "Rootless mode", which allows running the entire Docker daemon and its dependencies as a non-root user on the host, so as to protect the host from malicious containers in a simple but very strong way.
Rootless mode is also attractive for users who cannot get `sudo` permission for installing Docker on shared computing machines. e.g. HPC users.
In this talk, Akihiro Suda, the author of the Rootless mode (PR: moby#38050), will explain how users can get started with Rootless mode.
He will also explain the implementation details of Rootless mode and planned enhancements such as LDAP integration.
Compiling linux kernel and submit first patch
The document provides instructions for compiling the Linux kernel and submitting a first patch. It lists prerequisites like VMware Player, VirtualBox, and a guest and host Linux installation. It outlines the steps to build the kernel, create a "Hello World" kernel module, make changes to it, generate a patch, apply the patch, and send the patch to an email address for review. The goal is for participants to get hands-on experience compiling the kernel and contributing a small patch back to the community.
Portin g
This document summarizes the process of porting the Linux kernel to an ARM-based development board. It involves building the Linux kernel, u-boot bootloader, and x-loader from source code. The SD card is partitioned with a FAT32 boot partition and Linux filesystem partition. The built images are copied to the SD card to boot the ARM board, which goes through the x-loader, u-boot, and kernel in sequence. Configuring a serial terminal allows debugging and input/output with the booted system.
Kdump
The document discusses kdump, a tool used to capture kernel crash dumps in Linux. It begins with an agenda that covers background information, an overview of kexec and kdump, installing and configuring kdump, using kdump on Xen guests, analyzing core dumps with crash, related bugs, and Q&A. The document provides information on how kdump works by using kexec to quickly boot a dump-capture kernel to preserve memory after a crash, how to configure kernels and install/configure kdump, and considerations for using kdump on Xen virtual machines.
Linux Kernel - Let's Contribute!
Slides of the talk I did at LinuxWochen Wien 2014.
This talk will give you a quick introduction to Linux kernel development. During the talk we will explore some options of contribution, including random configurations, stable-testing, RC-testing and actual coding! By the end of the talk we will post a basic patch to the developers as well.
Similar to Linux Kernel Debugging Essentials workshop (20)
[KubeCon NA 2020] containerd: Rootless Containers 2020
[KubeCon NA 2020] containerd: Rootless Containers 2020
[DockerCon 2019] Hardening Docker daemon with Rootless mode
[DockerCon 2019] Hardening Docker daemon with Rootless mode
More from Lubomir Rintel
Namespaces for Kazimir
Slides for a slight introduction to Namespaces talk with drug abuse references.
Namespaces in Linux
This document discusses namespaces in Linux. Namespaces allow containers to have isolated resources like processes, networking, file systems, users and more. Containers share less than virtual machines but provide more isolation than regular processes. Namespaces use the clone system call to create an isolated view of various system resources for a container. Common namespaces include UTS for hostname, IPC for shared memory, PID for process IDs, network, mount and more. Tools like LXC, Docker and systemd-nspawn make it easy to create and manage containers using namespaces and cgroups.
LinuxAlt 2013: Writing a driver for unknown USB device
Reverse engineering an USB Video Grabber device protocol and creating a Linux kernel driver.
Mostly the same talk as in OSSConf 2013, with Alice in Wonderland pictures.
A journey through the years of UNIX and Linux service management
This document provides a history of Unix and Linux service management from the early days of /etc/init through the development of systemd. It describes the issues with early init systems like limitations in flexibility, lack of monitoring, and inconsistencies. It then discusses how various operating systems attempted to address these problems through tools like SMF, launchd, upstart, and others. Finally, it provides an overview of how systemd comprehensively solves the issues through features like unit files, control groups, journald logging, and integration with the Linux kernel.
Practical SystemTAP basics: Perl memory profiling
This document provides an overview of the SystemTap dynamic tracing tool. It can trace both kernel and userspace functions and variables. Scripts are written in a powerful scripting language that can inline C code and are compiled into kernel modules. Practical examples are provided, including a Perl memory profiler that traces memory allocations to different Perl packages. Safety features like timeouts help prevent scripts from overloading systems.
Reverse Engineering: Writing a Linux driver for an unknown device
The document discusses reverse engineering a Linux driver for an unknown USB video capture device. The key steps taken were:
1) Capturing traffic from the device when used in Windows to understand the frame format and endpoints. This revealed the device provides YUV video data over isochronous endpoints.
2) Developing a userspace program using libusb to replay the USB traffic and extract test image data to validate the frame format.
3) Creating a Linux kernel driver that interfaces with the USB and Video4Linux2 frameworks to provide the captured video as a video device to userspace programs through Videobuf2 buffers.
SELinux basics
The document introduces SELinux, which uses mandatory access control (MAC) in addition to traditional UNIX discretionary access control (DAC). SELinux labels processes and files with security contexts that define access permissions in the security policy. The policy controls access between labeled processes and files through type enforcement rules. System administrators can manage labels and policy using tools like semanage and restorecon.
Brno meetr: Packaging Ruby Gems into RPM
This document discusses wrapping Ruby gems into RPM packages for Fedora. It explains that RPM packages provide consistency, maintenance advantages, and security features compared to standalone gems. The gem2rpm tool can help automate wrapping gems to respect OS and gem conventions. The document also provides an overview of RPM packaging basics like the spec file structure and macros. It notes guidelines for naming Ruby gem RPM packages and that source packages typically package gems unchanged from Rubygems.
More from Lubomir Rintel (8)
LinuxAlt 2013: Writing a driver for unknown USB device
LinuxAlt 2013: Writing a driver for unknown USB device
A journey through the years of UNIX and Linux service management
A journey through the years of UNIX and Linux service management
Reverse Engineering: Writing a Linux driver for an unknown device
Reverse Engineering: Writing a Linux driver for an unknown device
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How RPA Help in the Transportation and Logistics Industry.pptx
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Observability For You and Me with OpenTelemetry
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Transcript: Details of description part II: Describing images in practice - T...
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
一比一原版(msvu毕业证书）圣文森山大学毕业证如何办理
原版一模一样【微信：741003700 】【(msvu毕业证书）圣文森山大学毕业证成绩单】【微信：741003700 】学位证，留信学历认证（真实可查，永久存档）原件一模一样纸张工艺/offer、在读证明、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
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【主营项目】
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二.真实使馆公证(即留学回国人员证明,不成功不收费)
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四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
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◇面对父母的压力，希望尽快拿到；
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◇申请留学生创业基金
留信网认证的作用:
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(msvu毕业证书）圣文森山大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(msvu毕业证书）圣文森山大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(msvu毕业证书）圣文森山大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
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Dev Dives: Mining your data with AI-powered Continuous Discovery
Want to learn how AI and Continuous Discovery can uncover impactful automation opportunities? Watch this webinar to find out more about UiPath Discovery products!
Watch this session and:
👉 See the power of UiPath Discovery products, including Process Mining, Task Mining, Communications Mining, and Automation Hub
👉 Watch the demo of how to leverage system data, desktop data, or unstructured communications data to gain deeper understanding of existing processes
👉 Learn how you can benefit from each of the discovery products as an Automation Developer
🗣 Speakers:
Jyoti Raghav, Principal Technical Enablement Engineer @UiPath
Anja le Clercq, Principal Technical Enablement Engineer @UiPath
⏩ Register for our upcoming Dev Dives July session: Boosting Tester Productivity with Coded Automation and Autopilot™
👉 Link: https://bit.ly/Dev_Dives_July
This session was streamed live on June 27, 2024.
Check out all our upcoming Dev Dives 2024 sessions at:
🚩 https://bit.ly/Dev_Dives_2024
Supercomputing from the Desktop Workstation
Invited Zoom Presentation
Internet Reunion Club, Sponsored by Internet2
“Using the Internet (1983-1992)”
June 7, 2022
Artificial Intelligence (AI), Robotics and Computational fluid dynamics
Dive into the intersection of Artificial Intelligence (AI), Robotics, and Computational Fluid Dynamics (CFD) in pharmaceutical sciences. This presentation provides a comprehensive overview, from the foundational principles to advanced applications in pharmaceutical automation. Explore the transformative impact of AI and robotics on drug discovery, manufacturing, and delivery, alongside CFD's role in optimizing processes. Delve into the advantages and disadvantages of integrating these technologies, uncover current challenges, and envision future directions shaping the future of pharmaceutical innovation.
This presentation will explore the intersection of artificial intelligence, robotics, and computational fluid dynamics in the context of pharmaceutical automation. We will provide an overview of these technologies, discuss their applications in the pharmaceutical industry, highlight the advantages and disadvantages of their use, and examine current challenges and future directions.
The integration of artificial intelligence, robotics, and computational fluid dynamics in pharmaceutical automation has the potential to revolutionize the industry, improving efficiency, safety, and quality control. However, challenges related to data management, standardization, workforce adaptation, and regulatory compliance must be addressed. The future of pharmaceutical automation lies in the continued development and integration of these technologies, leading to more efficient, reliable, and innovative drug manufacturing processes.
AI in Pharmaceutical Industry
Pharmaceutical Automation
Robotics in Pharma
Computational Fluid Dynamics (CFD)
Drug Discovery
Pharmaceutical Manufacturing
Pharmaceutical Applications
Advantages of AI and Robotics
Disadvantages of AI and Robotics
Challenges in Pharmaceutical Automation
Future of AI and Robotics in Pharma
Artificial Intelligence
Robotics
Computational Fluid Dynamics
Pharmaceutical Automation
Drug Discovery
Manufacturing Optimization
AI in Healthcare
Robotics in Pharmaceuticals
CFD Applications
Pharmaceutical Industry
Advantages of AI
Disadvantages of Robotics
Challenges in CFD
Future of AI in Pharma
Automation Trends
Running a Go App in Kubernetes: CPU Impacts
Understanding the impacts of running a containerized Go application inside Kubernetes with a focus on the CPU.
AI_dev Europe 2024 - From OpenAI to Opensource AI
Navigating Between Commercial Ownership and Collaborative Openness
This presentation explores the evolution of generative AI, highlighting the trajectories of various models such as GPT-4, and examining the dynamics between commercial interests and the ethics of open collaboration. We offer an in-depth analysis of the levels of openness of different language models, assessing various components and aspects, and exploring how the (de)centralization of computing power and technology could shape the future of AI research and development. Additionally, we explore concrete examples like LLaMA and its descendants, as well as other open and collaborative projects, which illustrate the diversity and creativity in the field, while navigating the complex waters of intellectual property and licensing.
Quality Patents: Patents That Stand the Test of Time
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
6 Different Types of Printed Circuit Boards.pdf
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Linux Kernel Debugging Essentials workshop
- 1. Linux Kernel Debugging Essentials Lubomir Rintel base48 Hackerspace, Brno http://base48.cz/ February 19th , 2014 lkundrak@v3.sk Kernel Debugging February 19th , 2014 1 / 12
- 2. Plan Understanding the way kernel can fail Introduction to infrastructure Obtaining & unserstanding the traces Heplful in-kernel mechanisms Building and trying the replacement code lkundrak@v3.sk Kernel Debugging February 19th , 2014 2 / 12
- 3. Kernel failures Warning, possibly non-fatal: OOPS A fatal error: Panic Usually accompained by a state dump Result of a bug or a hardware failure # echo c >/proc/sysrq-trigger lkundrak@v3.sk Kernel Debugging February 19th , 2014 3 / 12
- 4. Kernel configuration Vanilla kernels Distribution kernels Configuration options (build-time) Runtime configuration (sysctls) Boot time configuration (kernel parameters) Documentation/kernel-parameters.txt lkundrak@v3.sk Kernel Debugging February 19th , 2014 4 / 12
- 5. Lab setup For details & non-Fedora setup, see the hackerspace wiki # yum -y install kernel-debug{,-devel} # debuginfo -y install kernel-debug # yum -y install kexec-tools crash lkundrak@v3.sk Kernel Debugging February 19th , 2014 5 / 12
- 6. Console output Message buffer Screen, UART, USB debugging dongle Early console for boot problems Slowed down output possible Syslog via Netpoll API # dmesg rhgb, quiet console={ttyS*,uart} earlyprintk={vga,serial,dbgp} kernel.printk_delay kernel.printk_ratelimit netconsole.ko g_dbgp.ko lkundrak@v3.sk Kernel Debugging February 19th , 2014 6 / 12
- 7. Reading OOPS messages Processor status Traceback # objdump -lSd {vmlinux,module.ko} # addr2line lkundrak@v3.sk Kernel Debugging February 19th , 2014 7 / 12
- 8. Memory dumps Crash dumps OHCI1394 DMA, can be early too Hypervisor specific dumps We can extract console output from them! crashkernel=auto # systemctl start kdump.service # firescope lkundrak@v3.sk Kernel Debugging February 19th , 2014 8 / 12
- 9. Analyzing dumps crash lkundrak@v3.sk Kernel Debugging February 19th , 2014 9 / 12
- 10. Helpful kernel tools Kernel hacking menu Lockdep detector Hung task detector List corruption detector Stack protector Memory poison CONFIG_DEBUG_* kernel.sysrq kernel.*panic* kernel.prove_locking kernel.hung_task_timeout_secs lkundrak@v3.sk Kernel Debugging February 19th , 2014 10 / 12
- 11. Loading our code into kernel Understand kernel coding Pick a good book Linux Kernel Development, Robert Love, Addison-Wesley: Developer’s Library Understanding the Linux Kernel, Corbet et al., O’Reilly (available online) Try out what do the debugging facilities do! # make -C /lib/modules/$(uname -r)/build SUBDIRS=$PWD modules # insmod module.ko lkundrak@v3.sk Kernel Debugging February 19th , 2014 11 / 12
- 12. Thank you for attending! The source to the slides are embedded in the PDF file. Use pdftk or Acrobat Reader’s ”attachments” to extract them. lkundrak@v3.sk Kernel Debugging February 19th , 2014 12 / 12