Keynote for PerconaLive 2018 by Brendan Gregg. Video: https://youtu.be/sV3XfrfjrPo?t=30m51s . "At over one thousand code commits per week, it's hard to keep up with Linux developments. This keynote will summarize recent Linux performance features, for a wide audience: the KPTI patches for Meltdown, eBPF for performance observability, Kyber for disk I/O scheduling, BBR for TCP congestion control, and more. This is about exposure: knowing what exists, so you can learn and use it later when needed. Get the most out of your systems, whether they are databases or application servers, with the latest Linux kernels and exciting features."
Talk for USENIX LISA17: "Containers pose interesting challenges for performance monitoring and analysis, requiring new analysis methodologies and tooling. Resource-oriented analysis, as is common with systems performance tools and GUIs, must now account for both hardware limits and soft limits, as implemented using cgroups. A reverse diagnosis methodology can be applied to identify whether a container is resource constrained, and by which hard or soft resource. The interaction between the host and containers can also be examined, and noisy neighbors identified or exonerated. Performance tooling can need special usage or workarounds to function properly from within a container or on the host, to deal with different privilege levels and name spaces. At Netflix, we're using containers for some microservices, and care very much about analyzing and tuning our containers to be as fast and efficient as possible. This talk will show you how to identify bottlenecks in the host or container configuration, in the applications by profiling in a container environment, and how to dig deeper into kernel and container internals."
Talk for AWS re:Invent 2014. Video: https://www.youtube.com/watch?v=7Cyd22kOqWc . Netflix tunes Amazon EC2 instances for maximum performance. In this session, you learn how Netflix configures the fastest possible EC2 instances, while reducing latency outliers. This session explores the various Xen modes (e.g., HVM, PV, etc.) and how they are optimized for different workloads. Hear how Netflix chooses Linux kernel versions based on desired performance characteristics and receive a firsthand look at how they set kernel tunables, including hugepages. You also hear about Netflix’s use of SR-IOV to enable enhanced networking and their approach to observability, which can exonerate EC2 issues and direct attention back to application performance.
Linux 4.x Tracing Tools: Using BPF SuperpowersBrendan Gregg
Talk for USENIX LISA 2016 by Brendan Gregg.
"Linux 4.x Tracing Tools: Using BPF Superpowers
The Linux 4.x series heralds a new era of Linux performance analysis, with the long-awaited integration of a programmable tracer: Enhanced BPF (eBPF). Formally the Berkeley Packet Filter, BPF has been enhanced in Linux to provide system tracing capabilities, and integrates with dynamic tracing (kprobes and uprobes) and static tracing (tracepoints and USDT). This has allowed dozens of new observability tools to be developed so far: for example, 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.
In this talk I'll show you how to use BPF in the Linux 4.x series, and I'll summarize the different tools and front ends available, with a focus on iovisor bcc. bcc is an open source project to provide a Python front end for BPF, and comes with dozens of new observability tools (many of which I developed). These tools include new BPF versions of old classics, and many new tools, including: execsnoop, opensnoop, funccount, trace, biosnoop, bitesize, ext4slower, ext4dist, tcpconnect, tcpretrans, runqlat, offcputime, offwaketime, and many more. I'll also summarize use cases and some long-standing issues that can now be solved, and how we are using these capabilities at Netflix."
re:Invent 2019 BPF Performance Analysis at NetflixBrendan Gregg
Talk by Brendan Gregg at AWS re:Invent 2019. Abstract: "Extended BPF (eBPF) is an open source Linux technology that powers a whole new class of software: mini programs that run on events. Among its many uses, BPF can be used to create powerful performance analysis tools capable of analyzing everything: CPUs, memory, disks, file systems, networking, languages, applications, and more. In this session, Netflix's Brendan Gregg tours BPF tracing capabilities, including many new open source performance analysis tools he developed for his new book "BPF Performance Tools: Linux System and Application Observability." The talk includes examples of using these tools in the Amazon EC2 cloud."
Talk by Brendan Gregg for USENIX LISA 2019: Linux Systems Performance. Abstract: "
Systems performance is an effective discipline for performance analysis and tuning, and can help you find performance wins for your applications and the kernel. However, most of us are not performance or kernel engineers, and have limited time to study this topic. This talk summarizes the topic for everyone, touring six important areas of Linux systems performance: observability tools, methodologies, benchmarking, profiling, tracing, and tuning. Included are recipes for Linux performance analysis and tuning (using vmstat, mpstat, iostat, etc), overviews of complex areas including profiling (perf_events) and tracing (Ftrace, bcc/BPF, and bpftrace/BPF), and much advice about what is and isn't important to learn. This talk is aimed at everyone: developers, operations, sysadmins, etc, and in any environment running Linux, bare metal or the cloud."
Linux 4.x Tracing: Performance Analysis with bcc/BPFBrendan Gregg
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."
Velocity 2017 Performance analysis superpowers with Linux eBPFBrendan Gregg
Talk by for Velocity 2017 by Brendan Gregg: Performance analysis superpowers with Linux eBPF.
"Advanced performance observability and debugging have arrived built into the Linux 4.x series, thanks to enhancements to Berkeley Packet Filter (BPF, or eBPF) and the repurposing of its sandboxed virtual machine to provide programmatic capabilities to system tracing. Netflix has been investigating its use for new observability tools, monitoring, security uses, and more. This talk will investigate this new technology, which sooner or later will be available to everyone who uses Linux. The talk will dive deep on these new tracing, observability, and debugging capabilities. Whether you’re doing analysis over an ssh session, or via a monitoring GUI, BPF can be used to provide an efficient, custom, and deep level of detail into system and application performance.
This talk will also demonstrate the new open source tools that have been developed, which make use of kernel- and user-level dynamic tracing (kprobes and uprobes), and kernel- and user-level static tracing (tracepoints). These tools provide new insights for file system and storage performance, CPU scheduler performance, TCP performance, and a whole lot 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."
Talk for USENIX LISA17: "Containers pose interesting challenges for performance monitoring and analysis, requiring new analysis methodologies and tooling. Resource-oriented analysis, as is common with systems performance tools and GUIs, must now account for both hardware limits and soft limits, as implemented using cgroups. A reverse diagnosis methodology can be applied to identify whether a container is resource constrained, and by which hard or soft resource. The interaction between the host and containers can also be examined, and noisy neighbors identified or exonerated. Performance tooling can need special usage or workarounds to function properly from within a container or on the host, to deal with different privilege levels and name spaces. At Netflix, we're using containers for some microservices, and care very much about analyzing and tuning our containers to be as fast and efficient as possible. This talk will show you how to identify bottlenecks in the host or container configuration, in the applications by profiling in a container environment, and how to dig deeper into kernel and container internals."
Talk for AWS re:Invent 2014. Video: https://www.youtube.com/watch?v=7Cyd22kOqWc . Netflix tunes Amazon EC2 instances for maximum performance. In this session, you learn how Netflix configures the fastest possible EC2 instances, while reducing latency outliers. This session explores the various Xen modes (e.g., HVM, PV, etc.) and how they are optimized for different workloads. Hear how Netflix chooses Linux kernel versions based on desired performance characteristics and receive a firsthand look at how they set kernel tunables, including hugepages. You also hear about Netflix’s use of SR-IOV to enable enhanced networking and their approach to observability, which can exonerate EC2 issues and direct attention back to application performance.
Linux 4.x Tracing Tools: Using BPF SuperpowersBrendan Gregg
Talk for USENIX LISA 2016 by Brendan Gregg.
"Linux 4.x Tracing Tools: Using BPF Superpowers
The Linux 4.x series heralds a new era of Linux performance analysis, with the long-awaited integration of a programmable tracer: Enhanced BPF (eBPF). Formally the Berkeley Packet Filter, BPF has been enhanced in Linux to provide system tracing capabilities, and integrates with dynamic tracing (kprobes and uprobes) and static tracing (tracepoints and USDT). This has allowed dozens of new observability tools to be developed so far: for example, 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.
In this talk I'll show you how to use BPF in the Linux 4.x series, and I'll summarize the different tools and front ends available, with a focus on iovisor bcc. bcc is an open source project to provide a Python front end for BPF, and comes with dozens of new observability tools (many of which I developed). These tools include new BPF versions of old classics, and many new tools, including: execsnoop, opensnoop, funccount, trace, biosnoop, bitesize, ext4slower, ext4dist, tcpconnect, tcpretrans, runqlat, offcputime, offwaketime, and many more. I'll also summarize use cases and some long-standing issues that can now be solved, and how we are using these capabilities at Netflix."
re:Invent 2019 BPF Performance Analysis at NetflixBrendan Gregg
Talk by Brendan Gregg at AWS re:Invent 2019. Abstract: "Extended BPF (eBPF) is an open source Linux technology that powers a whole new class of software: mini programs that run on events. Among its many uses, BPF can be used to create powerful performance analysis tools capable of analyzing everything: CPUs, memory, disks, file systems, networking, languages, applications, and more. In this session, Netflix's Brendan Gregg tours BPF tracing capabilities, including many new open source performance analysis tools he developed for his new book "BPF Performance Tools: Linux System and Application Observability." The talk includes examples of using these tools in the Amazon EC2 cloud."
Talk by Brendan Gregg for USENIX LISA 2019: Linux Systems Performance. Abstract: "
Systems performance is an effective discipline for performance analysis and tuning, and can help you find performance wins for your applications and the kernel. However, most of us are not performance or kernel engineers, and have limited time to study this topic. This talk summarizes the topic for everyone, touring six important areas of Linux systems performance: observability tools, methodologies, benchmarking, profiling, tracing, and tuning. Included are recipes for Linux performance analysis and tuning (using vmstat, mpstat, iostat, etc), overviews of complex areas including profiling (perf_events) and tracing (Ftrace, bcc/BPF, and bpftrace/BPF), and much advice about what is and isn't important to learn. This talk is aimed at everyone: developers, operations, sysadmins, etc, and in any environment running Linux, bare metal or the cloud."
Linux 4.x Tracing: Performance Analysis with bcc/BPFBrendan Gregg
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."
Velocity 2017 Performance analysis superpowers with Linux eBPFBrendan Gregg
Talk by for Velocity 2017 by Brendan Gregg: Performance analysis superpowers with Linux eBPF.
"Advanced performance observability and debugging have arrived built into the Linux 4.x series, thanks to enhancements to Berkeley Packet Filter (BPF, or eBPF) and the repurposing of its sandboxed virtual machine to provide programmatic capabilities to system tracing. Netflix has been investigating its use for new observability tools, monitoring, security uses, and more. This talk will investigate this new technology, which sooner or later will be available to everyone who uses Linux. The talk will dive deep on these new tracing, observability, and debugging capabilities. Whether you’re doing analysis over an ssh session, or via a monitoring GUI, BPF can be used to provide an efficient, custom, and deep level of detail into system and application performance.
This talk will also demonstrate the new open source tools that have been developed, which make use of kernel- and user-level dynamic tracing (kprobes and uprobes), and kernel- and user-level static tracing (tracepoints). These tools provide new insights for file system and storage performance, CPU scheduler performance, TCP performance, and a whole lot 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."
Talk by Brendan Gregg for All Things Open 2018. "At over one thousand code commits per week, it's hard to keep up with Linux developments. This keynote will summarize recent Linux performance features,
for a wide audience: the KPTI patches for Meltdown, eBPF for performance observability and the new open source tools that use it, Kyber for disk I/O sc
heduling, BBR for TCP congestion control, and more. This is about exposure: knowing what exists, so you can learn and use it later when needed. Get the
most out of your systems with the latest Linux kernels and exciting features."
YOW2018 Cloud Performance Root Cause Analysis at NetflixBrendan Gregg
Keynote by Brendan Gregg for YOW! 2018. Video: https://www.youtube.com/watch?v=03EC8uA30Pw . Description: "At Netflix, improving the performance of our cloud means happier customers and lower costs, and involves root cause
analysis of applications, runtimes, operating systems, and hypervisors, in an environment of 150k cloud instances
that undergo numerous production changes each week. Apart from the developers who regularly optimize their own code
, we also have a dedicated performance team to help with any issue across the cloud, and to build tooling to aid in
this analysis. In this session we will summarize the Netflix environment, procedures, and tools we use and build t
o do root cause analysis on cloud performance issues. The analysis performed may be cloud-wide, using self-service
GUIs such as our open source Atlas tool, or focused on individual instances, and use our open source Vector tool, f
lame graphs, Java debuggers, and tooling that uses Linux perf, ftrace, and bcc/eBPF. You can use these open source
tools in the same way to find performance wins in your own environment."
Talk for QConSF 2015: "Broken benchmarks, misleading metrics, and terrible tools. This talk will help you navigate the treacherous waters of system performance tools, touring common problems with system metrics, monitoring, statistics, visualizations, measurement overhead, and benchmarks. This will likely involve some unlearning, as you discover tools you have been using for years, are in fact, misleading, dangerous, or broken.
The speaker, Brendan Gregg, has given many popular talks on operating system performance tools. This is an anti-version of these talks, to focus on broken tools and metrics instead of the working ones. Metrics can be misleading, and counters can be counter-intuitive! This talk will include advice and methodologies for verifying new performance tools, understanding how they work, and using them successfully."
ACM Applicative System Methodology 2016Brendan Gregg
Video: https://youtu.be/eO94l0aGLCA?t=3m37s . Talk by Brendan Gregg for ACM Applicative 2016
"System Methodology - Holistic Performance Analysis on Modern Systems
Traditional systems performance engineering makes do with vendor-supplied metrics, often involving interpretation and inference, and with numerous blind spots. Much in the field of systems performance is still living in the past: documentation, procedures, and analysis GUIs built upon the same old metrics. For modern systems, we can choose the metrics, and can choose ones we need to support new holistic performance analysis methodologies. These methodologies provide faster, more accurate, and more complete analysis, and can provide a starting point for unfamiliar systems.
Methodologies are especially helpful for modern applications and their workloads, which can pose extremely complex problems with no obvious starting point. There are also continuous deployment environments such as the Netflix cloud, where these problems must be solved in shorter time frames. Fortunately, with advances in system observability and tracers, we have virtually endless custom metrics to aid performance analysis. The problem becomes which metrics to use, and how to navigate them quickly to locate the root cause of problems.
System methodologies provide a starting point for analysis, as well as guidance for quickly moving through the metrics to root cause. They also pose questions that the existing metrics may not yet answer, which may be critical in solving the toughest problems. System methodologies include the USE method, workload characterization, drill-down analysis, off-CPU analysis, and more.
This talk will discuss various system performance issues, and the methodologies, tools, and processes used to solve them. The focus is on single systems (any operating system), including single cloud instances, and quickly locating performance issues or exonerating the system. Many methodologies will be discussed, along with recommendations for their implementation, which may be as documented checklists of tools, or custom dashboards of supporting metrics. In general, you will learn to think differently about your systems, and how to ask better questions."
USENIX ATC 2017: Visualizing Performance with Flame GraphsBrendan Gregg
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."
Talk by Brendan Gregg for YOW! 2021. "The pursuit of faster performance in computing is the driving reason for many new technologies and updates. This talk discusses performance improvements now underway that you will likely be adopting soon, for processors (including 3D stacking and cloud vendor CPUs), memory (including DDR5 and high-bandwidth memory [HBM]), disks (including 3D Xpoint as a 3D NAND accelerator), networking (including QUIC and eXpress Data Path [XDP]), runtimes, hypervisors, and more. The future of performance is increasingly cloud-based, with hardware hypervisors and custom processors, meaningful observability of everything down to cycle stalls (even as cloud guests), and high-speed syscall-avoiding applications that use eBPF, FPGAs, and io_uring. The talk also discusses where future performance improvements might be expected, with predictions for new technologies."
Broken benchmarks, misleading metrics, and terrible tools. This talk will help you navigate the treacherous waters of Linux performance tools, touring common problems with system tools, metrics, statistics, visualizations, measurement overhead, and benchmarks. You might discover that tools you have been using for years, are in fact, misleading, dangerous, or broken.
The speaker, Brendan Gregg, has given many talks on tools that work, including giving the Linux PerformanceTools talk originally at SCALE. This is an anti-version of that talk, to focus on broken tools and metrics instead of the working ones. Metrics can be misleading, and counters can be counter-intuitive! This talk will include advice for verifying new performance tools, understanding how they work, and using them successfully.
Your Linux AMI: Optimization and Performance (CPN302) | AWS re:Invent 2013Amazon Web Services
Your AMI is one of the core foundations for running applications and services effectively on Amazon EC2. In this session, you'll learn how to optimize your AMI, including how you can measure and diagnose system performance and tune parameters for improved CPU and network performance. We'll cover application-specific examples from Netflix on how optimized AMIs can lead to improved performance.
How Netflix Tunes EC2 Instances for PerformanceBrendan Gregg
CMP325 talk for AWS re:Invent 2017, by Brendan Gregg. "
At Netflix we make the best use of AWS EC2 instance types and features to create a high performance cloud, achieving near bare metal speed for our workloads. This session will summarize the configuration, tuning, and activities for delivering the fastest possible EC2 instances, and will help other EC2 users improve performance, reduce latency outliers, and make better use of EC2 features. We'll show how we choose EC2 instance types, how we choose between EC2 Xen modes: HVM, PV, and PVHVM, and the importance of EC2 features such SR-IOV for bare-metal performance. SR-IOV is used by EC2 enhanced networking, and recently for the new i3 instance type for enhanced disk performance as well. We'll also cover kernel tuning and observability tools, from basic to advanced. Advanced performance analysis includes the use of Java and Node.js flame graphs, and the new EC2 Performance Monitoring Counter (PMC) feature released this year."
Surge 2014: From Clouds to Roots: root cause performance analysis at Netflix. Brendan Gregg.
At Netflix, high scale and fast deployment rule. The possibilities for failure are endless, and the environment excels at handling this, regularly tested and exercised by the simian army. But, when this environment automatically works around systemic issues that aren’t root-caused, they can grow over time. This talk describes the challenge of not just handling failures of scale on the Netflix cloud, but also new approaches and tools for quickly diagnosing their root cause in an ever changing environment.
Performance Wins with BPF: Getting StartedBrendan Gregg
Keynote by Brendan Gregg for the eBPF summit, 2020. How to get started finding performance wins using the BPF (eBPF) technology. This short talk covers the quickest and easiest way to find performance wins using BPF observability tools on Linux.
Talk for Facebook Systems@Scale 2021 by Brendan Gregg: "BPF (eBPF) tracing is the superpower that can analyze everything, helping you find performance wins, troubleshoot software, and more. But with many different front-ends and languages, and years of evolution, finding the right starting point can be hard. This talk will make it easy, showing how to install and run selected BPF tools in the bcc and bpftrace open source projects for some quick wins. Think like a sysadmin, not like a programmer."
Talk for YOW! by Brendan Gregg. "Systems performance studies the performance of computing systems, including all physical components and the full software stack to help you find performance wins for your application and kernel. However, most of us are not performance or kernel engineers, and have limited time to study this topic. This talk summarizes the topic for everyone, touring six important areas: observability tools, methodologies, benchmarking, profiling, tracing, and tuning. Included are recipes for Linux performance analysis and tuning (using vmstat, mpstat, iostat, etc), overviews of complex areas including profiling (perf_events) and tracing (ftrace, bcc/BPF, and bpftrace/BPF), advice about what is and isn't important to learn, and case studies to see how it is applied. This talk is aimed at everyone: developers, operations, sysadmins, etc, and in any environment running Linux, bare metal or the cloud.
"
Kernel Recipes 2019 - ftrace: Where modifying a running kernel all startedAnne Nicolas
Ftrace’s most powerful feature is the function tracer (and function graph tracer which is built from it). But to have this enabled on production systems, it had to have its overhead be negligible when disabled. As the function tracer uses gcc’s profiling mechanism, which adds a call to “mcount” (or more recently fentry, don’t worry if you don’t know what this is, it will all be explained) at the start of almost all functions, it had to do something about the overhead that causes. The solution was to turn those calls into “nops” (an instruction that the CPU simply ignores). But this was no easy feat. It took a lot to come up with a solution (and also turning a few network cards into bricks). This talk will explain the history of how ftrace came about implementing the function tracer, and brought with it the possibility of static branches and soon static calls!
Steven Rostedt
Kernel Recipes 2017: Using Linux perf at NetflixBrendan Gregg
Talk for Kernel Recipes 2017 by Brendan Gregg. "Linux perf is a crucial performance analysis tool at Netflix, and is used by a self-service GUI for generating CPU flame graphs and other reports. This sounds like an easy task, however, getting perf to work properly in VM guests running Java, Node.js, containers, and other software, has been at times a challenge. This talk summarizes Linux perf, how we use it at Netflix, the various gotchas we have encountered, and a summary of advanced features."
Computing Performance: On the Horizon (2021)Brendan Gregg
Talk by Brendan Gregg for USENIX LISA 2021. https://www.youtube.com/watch?v=5nN1wjA_S30 . "The future of computer performance involves clouds with hardware hypervisors and custom processors, servers running a new type of BPF software to allow high-speed applications and kernel customizations, observability of everything in production, new Linux kernel technologies, and more. This talk covers interesting developments in systems and computing performance, their challenges, and where things are headed."
Performance Analysis: new tools and concepts from the cloudBrendan Gregg
Talk delivered at SCaLE10x, Los Angeles 2012.
Cloud Computing introduces new challenges for performance
analysis, for both customers and operators of the cloud. Apart from
monitoring a scaling environment, issues within a system can be
complicated when tenants are competing for the same resources, and are
invisible to each other. Other factors include rapidly changing
production code and wildly unpredictable traffic surges. For
performance analysis in the Joyent public cloud, we use a variety of
tools including Dynamic Tracing, which allows us to create custom
tools and metrics and to explore new concepts. In this presentation
I'll discuss a collection of these tools and the metrics that they
measure. While these are DTrace-based, the focus of the talk is on
which metrics are proving useful for analyzing real cloud issues.
Presented at LISA18: https://www.usenix.org/conference/lisa18/presentation/babrou
This is a technical dive into how we used eBPF to solve real-world issues uncovered during an innocent OS upgrade. We'll see how we debugged 10x CPU increase in Kafka after Debian upgrade and what lessons we learned. We'll get from high-level effects like increased CPU to flamegraphs showing us where the problem lies to tracing timers and functions calls in the Linux kernel.
The focus is on tools what operational engineers can use to debug performance issues in production. This particular issue happened at Cloudflare on a Kafka cluster doing 100Gbps of ingress and many multiple of that egress.
Talk by Brendan Gregg for All Things Open 2018. "At over one thousand code commits per week, it's hard to keep up with Linux developments. This keynote will summarize recent Linux performance features,
for a wide audience: the KPTI patches for Meltdown, eBPF for performance observability and the new open source tools that use it, Kyber for disk I/O sc
heduling, BBR for TCP congestion control, and more. This is about exposure: knowing what exists, so you can learn and use it later when needed. Get the
most out of your systems with the latest Linux kernels and exciting features."
YOW2018 Cloud Performance Root Cause Analysis at NetflixBrendan Gregg
Keynote by Brendan Gregg for YOW! 2018. Video: https://www.youtube.com/watch?v=03EC8uA30Pw . Description: "At Netflix, improving the performance of our cloud means happier customers and lower costs, and involves root cause
analysis of applications, runtimes, operating systems, and hypervisors, in an environment of 150k cloud instances
that undergo numerous production changes each week. Apart from the developers who regularly optimize their own code
, we also have a dedicated performance team to help with any issue across the cloud, and to build tooling to aid in
this analysis. In this session we will summarize the Netflix environment, procedures, and tools we use and build t
o do root cause analysis on cloud performance issues. The analysis performed may be cloud-wide, using self-service
GUIs such as our open source Atlas tool, or focused on individual instances, and use our open source Vector tool, f
lame graphs, Java debuggers, and tooling that uses Linux perf, ftrace, and bcc/eBPF. You can use these open source
tools in the same way to find performance wins in your own environment."
Talk for QConSF 2015: "Broken benchmarks, misleading metrics, and terrible tools. This talk will help you navigate the treacherous waters of system performance tools, touring common problems with system metrics, monitoring, statistics, visualizations, measurement overhead, and benchmarks. This will likely involve some unlearning, as you discover tools you have been using for years, are in fact, misleading, dangerous, or broken.
The speaker, Brendan Gregg, has given many popular talks on operating system performance tools. This is an anti-version of these talks, to focus on broken tools and metrics instead of the working ones. Metrics can be misleading, and counters can be counter-intuitive! This talk will include advice and methodologies for verifying new performance tools, understanding how they work, and using them successfully."
ACM Applicative System Methodology 2016Brendan Gregg
Video: https://youtu.be/eO94l0aGLCA?t=3m37s . Talk by Brendan Gregg for ACM Applicative 2016
"System Methodology - Holistic Performance Analysis on Modern Systems
Traditional systems performance engineering makes do with vendor-supplied metrics, often involving interpretation and inference, and with numerous blind spots. Much in the field of systems performance is still living in the past: documentation, procedures, and analysis GUIs built upon the same old metrics. For modern systems, we can choose the metrics, and can choose ones we need to support new holistic performance analysis methodologies. These methodologies provide faster, more accurate, and more complete analysis, and can provide a starting point for unfamiliar systems.
Methodologies are especially helpful for modern applications and their workloads, which can pose extremely complex problems with no obvious starting point. There are also continuous deployment environments such as the Netflix cloud, where these problems must be solved in shorter time frames. Fortunately, with advances in system observability and tracers, we have virtually endless custom metrics to aid performance analysis. The problem becomes which metrics to use, and how to navigate them quickly to locate the root cause of problems.
System methodologies provide a starting point for analysis, as well as guidance for quickly moving through the metrics to root cause. They also pose questions that the existing metrics may not yet answer, which may be critical in solving the toughest problems. System methodologies include the USE method, workload characterization, drill-down analysis, off-CPU analysis, and more.
This talk will discuss various system performance issues, and the methodologies, tools, and processes used to solve them. The focus is on single systems (any operating system), including single cloud instances, and quickly locating performance issues or exonerating the system. Many methodologies will be discussed, along with recommendations for their implementation, which may be as documented checklists of tools, or custom dashboards of supporting metrics. In general, you will learn to think differently about your systems, and how to ask better questions."
USENIX ATC 2017: Visualizing Performance with Flame GraphsBrendan Gregg
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."
Talk by Brendan Gregg for YOW! 2021. "The pursuit of faster performance in computing is the driving reason for many new technologies and updates. This talk discusses performance improvements now underway that you will likely be adopting soon, for processors (including 3D stacking and cloud vendor CPUs), memory (including DDR5 and high-bandwidth memory [HBM]), disks (including 3D Xpoint as a 3D NAND accelerator), networking (including QUIC and eXpress Data Path [XDP]), runtimes, hypervisors, and more. The future of performance is increasingly cloud-based, with hardware hypervisors and custom processors, meaningful observability of everything down to cycle stalls (even as cloud guests), and high-speed syscall-avoiding applications that use eBPF, FPGAs, and io_uring. The talk also discusses where future performance improvements might be expected, with predictions for new technologies."
Broken benchmarks, misleading metrics, and terrible tools. This talk will help you navigate the treacherous waters of Linux performance tools, touring common problems with system tools, metrics, statistics, visualizations, measurement overhead, and benchmarks. You might discover that tools you have been using for years, are in fact, misleading, dangerous, or broken.
The speaker, Brendan Gregg, has given many talks on tools that work, including giving the Linux PerformanceTools talk originally at SCALE. This is an anti-version of that talk, to focus on broken tools and metrics instead of the working ones. Metrics can be misleading, and counters can be counter-intuitive! This talk will include advice for verifying new performance tools, understanding how they work, and using them successfully.
Your Linux AMI: Optimization and Performance (CPN302) | AWS re:Invent 2013Amazon Web Services
Your AMI is one of the core foundations for running applications and services effectively on Amazon EC2. In this session, you'll learn how to optimize your AMI, including how you can measure and diagnose system performance and tune parameters for improved CPU and network performance. We'll cover application-specific examples from Netflix on how optimized AMIs can lead to improved performance.
How Netflix Tunes EC2 Instances for PerformanceBrendan Gregg
CMP325 talk for AWS re:Invent 2017, by Brendan Gregg. "
At Netflix we make the best use of AWS EC2 instance types and features to create a high performance cloud, achieving near bare metal speed for our workloads. This session will summarize the configuration, tuning, and activities for delivering the fastest possible EC2 instances, and will help other EC2 users improve performance, reduce latency outliers, and make better use of EC2 features. We'll show how we choose EC2 instance types, how we choose between EC2 Xen modes: HVM, PV, and PVHVM, and the importance of EC2 features such SR-IOV for bare-metal performance. SR-IOV is used by EC2 enhanced networking, and recently for the new i3 instance type for enhanced disk performance as well. We'll also cover kernel tuning and observability tools, from basic to advanced. Advanced performance analysis includes the use of Java and Node.js flame graphs, and the new EC2 Performance Monitoring Counter (PMC) feature released this year."
Surge 2014: From Clouds to Roots: root cause performance analysis at Netflix. Brendan Gregg.
At Netflix, high scale and fast deployment rule. The possibilities for failure are endless, and the environment excels at handling this, regularly tested and exercised by the simian army. But, when this environment automatically works around systemic issues that aren’t root-caused, they can grow over time. This talk describes the challenge of not just handling failures of scale on the Netflix cloud, but also new approaches and tools for quickly diagnosing their root cause in an ever changing environment.
Performance Wins with BPF: Getting StartedBrendan Gregg
Keynote by Brendan Gregg for the eBPF summit, 2020. How to get started finding performance wins using the BPF (eBPF) technology. This short talk covers the quickest and easiest way to find performance wins using BPF observability tools on Linux.
Talk for Facebook Systems@Scale 2021 by Brendan Gregg: "BPF (eBPF) tracing is the superpower that can analyze everything, helping you find performance wins, troubleshoot software, and more. But with many different front-ends and languages, and years of evolution, finding the right starting point can be hard. This talk will make it easy, showing how to install and run selected BPF tools in the bcc and bpftrace open source projects for some quick wins. Think like a sysadmin, not like a programmer."
Talk for YOW! by Brendan Gregg. "Systems performance studies the performance of computing systems, including all physical components and the full software stack to help you find performance wins for your application and kernel. However, most of us are not performance or kernel engineers, and have limited time to study this topic. This talk summarizes the topic for everyone, touring six important areas: observability tools, methodologies, benchmarking, profiling, tracing, and tuning. Included are recipes for Linux performance analysis and tuning (using vmstat, mpstat, iostat, etc), overviews of complex areas including profiling (perf_events) and tracing (ftrace, bcc/BPF, and bpftrace/BPF), advice about what is and isn't important to learn, and case studies to see how it is applied. This talk is aimed at everyone: developers, operations, sysadmins, etc, and in any environment running Linux, bare metal or the cloud.
"
Kernel Recipes 2019 - ftrace: Where modifying a running kernel all startedAnne Nicolas
Ftrace’s most powerful feature is the function tracer (and function graph tracer which is built from it). But to have this enabled on production systems, it had to have its overhead be negligible when disabled. As the function tracer uses gcc’s profiling mechanism, which adds a call to “mcount” (or more recently fentry, don’t worry if you don’t know what this is, it will all be explained) at the start of almost all functions, it had to do something about the overhead that causes. The solution was to turn those calls into “nops” (an instruction that the CPU simply ignores). But this was no easy feat. It took a lot to come up with a solution (and also turning a few network cards into bricks). This talk will explain the history of how ftrace came about implementing the function tracer, and brought with it the possibility of static branches and soon static calls!
Steven Rostedt
Kernel Recipes 2017: Using Linux perf at NetflixBrendan Gregg
Talk for Kernel Recipes 2017 by Brendan Gregg. "Linux perf is a crucial performance analysis tool at Netflix, and is used by a self-service GUI for generating CPU flame graphs and other reports. This sounds like an easy task, however, getting perf to work properly in VM guests running Java, Node.js, containers, and other software, has been at times a challenge. This talk summarizes Linux perf, how we use it at Netflix, the various gotchas we have encountered, and a summary of advanced features."
Computing Performance: On the Horizon (2021)Brendan Gregg
Talk by Brendan Gregg for USENIX LISA 2021. https://www.youtube.com/watch?v=5nN1wjA_S30 . "The future of computer performance involves clouds with hardware hypervisors and custom processors, servers running a new type of BPF software to allow high-speed applications and kernel customizations, observability of everything in production, new Linux kernel technologies, and more. This talk covers interesting developments in systems and computing performance, their challenges, and where things are headed."
Performance Analysis: new tools and concepts from the cloudBrendan Gregg
Talk delivered at SCaLE10x, Los Angeles 2012.
Cloud Computing introduces new challenges for performance
analysis, for both customers and operators of the cloud. Apart from
monitoring a scaling environment, issues within a system can be
complicated when tenants are competing for the same resources, and are
invisible to each other. Other factors include rapidly changing
production code and wildly unpredictable traffic surges. For
performance analysis in the Joyent public cloud, we use a variety of
tools including Dynamic Tracing, which allows us to create custom
tools and metrics and to explore new concepts. In this presentation
I'll discuss a collection of these tools and the metrics that they
measure. While these are DTrace-based, the focus of the talk is on
which metrics are proving useful for analyzing real cloud issues.
Presented at LISA18: https://www.usenix.org/conference/lisa18/presentation/babrou
This is a technical dive into how we used eBPF to solve real-world issues uncovered during an innocent OS upgrade. We'll see how we debugged 10x CPU increase in Kafka after Debian upgrade and what lessons we learned. We'll get from high-level effects like increased CPU to flamegraphs showing us where the problem lies to tracing timers and functions calls in the Linux kernel.
The focus is on tools what operational engineers can use to debug performance issues in production. This particular issue happened at Cloudflare on a Kafka cluster doing 100Gbps of ingress and many multiple of that egress.
Как понять, что происходит на сервере? / Александр Крижановский (NatSys Lab.,...Ontico
Запускаем сервер (БД, Web-сервер или что-то свое собственное) и не получаем желаемый RPS. Запускаем top и видим, что 100% выедается CPU. Что дальше, на что расходуется процессорное время? Можно ли подкрутить какие-то ручки, чтобы улучшить производительность? А если параметр CPU не высокий, то куда смотреть дальше?
Мы рассмотрим несколько сценариев проблем производительности, рассмотрим доступные инструменты анализа производительности и разберемся в методологии оптимизации производительности Linux, ответим на вопрос за какие ручки и как крутить.
OSDC 2017 - Werner Fischer - Linux performance profiling and monitoringNETWAYS
Nowadays system administrators have great choices when it comes down to Linux performance profiling and monitoring. The challenge is to pick the appropriate tools and interpret their results correctly.
This talk is a chance to take a tour through various performance profiling and benchmarking tools, focusing on their benefit for every sysadmin.
More than 25 different tools are presented. Ranging from well known tools like strace, iostat, tcpdump or vmstat to new features like Linux tracepoints or perf_events. You will also learn which tools can be monitored by Icinga and which monitoring plugins are already available for that.
At the end the goal is to gather reference points to look at, whenever you are faced with performance problems.
Take the chance to close your knowledge gaps and learn how to get the most out of your system.
USENIX ATC 2017 Performance Superpowers with Enhanced BPFBrendan Gregg
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."
This session brings to your attention how several millions of dollars are wasted and what you can do to save money. Optimizing garbage collection performance not only saves money, but also improves the overall customer experience as well.
Introducing Scylla Manager: Cluster Management and Task AutomationScyllaDB
By centralizing cluster administration and automating recurring tasks, Scylla Manager brings greater predictability and control to Scylla-based environments.
In this webinar, you will learn about Scylla Manager’s recurrent repair capabilities, including why recurrent repair is critical for Scylla production cluster administration, and why keeping it manual results in errors and suboptimal performance.
We will present a demo of how to set up and run recurrent and ad-hoc repairs on a Scylla cluster, and give you a sneak peek of the Scylla Manager roadmap, which includes cluster management, rolling upgrades, and integrated monitoring.
Video: https://www.youtube.com/watch?v=JRFNIKUROPE . Talk for linux.conf.au 2017 (LCA2017) by Brendan Gregg, about Linux enhanced BPF (eBPF). Abstract:
A world of new capabilities is emerging for the Linux 4.x series, thanks to enhancements that have been included in Linux for to Berkeley Packet Filter (BPF): an in-kernel virtual machine that can execute user space-defined programs. It is finding uses for security auditing and enforcement, enhancing networking (including eXpress Data Path), and performance observability and troubleshooting. Many new open source tools that have been written in the past 12 months for performance analysis that use BPF. Tracing superpowers have finally arrived for Linux!
For its use with tracing, BPF provides the programmable capabilities to the existing tracing frameworks: kprobes, uprobes, and tracepoints. In particular, BPF allows timestamps to be recorded and compared from custom events, allowing latency to be studied in many new places: kernel and application internals. It also allows data to be efficiently summarized in-kernel, including as histograms. This has allowed dozens of new observability tools to be developed so far, including 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.
This talk will summarize BPF capabilities and use cases so far, and then focus on its use to enhance Linux tracing, especially with the open source bcc collection. bcc includes BPF versions of old classics, and many new tools, including execsnoop, opensnoop, funcccount, ext4slower, and more (many of which I developed). Perhaps you'd like to develop new tools, or use the existing tools to find performance wins large and small, especially when instrumenting areas that previously had zero visibility. I'll also summarize how we intend to use these new capabilities to enhance systems analysis at Netflix.
Tutorial WiFi driver code - Opening Nuts and Bolts of Linux WiFi SubsystemDheryta Jaisinghani
While we understand the complex interplay of OSI layers, in theory, in practice understanding their implementation is a non-trivial task. The implementation details that enables a network interface card to communicate with its peers are oblivious to the end-users. Developers venturing into this domain for the first time often find it hard to find relevant tutorials that enable them to understand these implementation details. The aim of this talk is to provide an overview of WiFi Subsystem implemented in the Linux operating system. Specifically, this talk will explain the sequence of events that occur from application layer till physical layer when a connection is established over WiFi. After this talk, the audience will understand
(1) the bird's eye view of Linux WiFi Subsystem,
(2) what happens in an operating system when a WiFi card is plugged-in,
(3) how is a packet received/transmitted from physical layer to operating system kernel and vice-versa,
(4) brief overview of code structure of open-source drivers, and lastly
(5) important pointers to kick start driver code modifications.
Video Available here: https://www.youtube.com/watch?v=pa1oEyc7Dm0
Nowadays science has made great progress in extracting information from DNA and the huge amounts of data that is being produced need new ways and architectures to carry on the computation in an efficient way. Among the different analysis performed on the DNA, one of the most compute intensive concerns the task of aligning a set of strings (reads) to specific targets. In these regards, Lawrence Berkeley National Laboratory (LBNL) and the University of California Berkeley (UCB) developed the merAligner: a fully parallel sequence aligner that uses a seed-and-extend algorithm to perform the alignment. This aligner is able to scale up efficiently to thousands of cores on a Cray XC30 supercomputer. Despite the high computational power, this architecture consumes a significant amount of power, reducing considerably its power efficiency. To this end, reconfigurable hardware architectures have demonstrated to be able to deliver high performances, while keeping a relatively low power profile. In this work, we propose an FPGA architecture for the alignment step of the merAligner. The architecture has been designed using Chisel HCL, while the final architecture has been synthesized using Xilinx SDAccel targeting a Xilinx Kintex Ultrascale board. Final results are capable of outperforming merAligner alignment step on a test dataset by a factor of up to 7x in performance and 66x in power efficiency.
Similar to Linux Performance 2018 (PerconaLive keynote) (20)
USENIX LISA2021 talk by Brendan Gregg (https://www.youtube.com/watch?v=_5Z2AU7QTH4). This talk is a deep dive that describes how BPF (eBPF) works internally on Linux, and dissects some modern performance observability tools. Details covered include the kernel BPF implementation: the verifier, JIT compilation, and the BPF execution environment; the BPF instruction set; different event sources; and how BPF is used by user space, using bpftrace programs as an example. This includes showing how bpftrace is compiled to LLVM IR and then BPF bytecode, and how per-event data and aggregated map data are fetched from the kernel.
UM2019 Extended BPF: A New Type of SoftwareBrendan Gregg
Keynote for Ubuntu Masters 2019 by Brendan Gregg, Netflix. Video https://www.youtube.com/watch?v=7pmXdG8-7WU&feature=youtu.be . "Extended BPF is a new type of software, and the first fundamental change to how kernels are used in 50 years. This new type of software is already in use by major companies: Netflix has 14 BPF programs running by default on all of its cloud servers, which run Ubuntu Linux. Facebook has 40 BPF programs running by default. Extended BPF is composed of an in-kernel runtime for executing a virtual BPF instruction set through a safety verifier and with JIT compilation. So far it has been used for software defined networking, performance tools, security policies, and device drivers, with more uses planned and more we have yet to think of. It is changing how we use and think about systems. This talk explores the past, present, and future of BPF, with BPF performance tools as a use case."
Talk by Brendan Gregg and Martin Spier for the Linkedin Performance Engineering meetup on Nov 8, 2018. FlameScope is a visualization for performance profiles that helps you study periodic activity, variance, and perturbations, with a heat map for navigation and flame graphs for code analysis.
Kernel Recipes 2017: Performance Analysis with BPFBrendan Gregg
Talk by Brendan Gregg at Kernel Recipes 2017 (Paris): "The in-kernel Berkeley Packet Filter (BPF) has been enhanced in recent kernels to do much more than just filtering packets. It can now run user-defined programs on events, such as on tracepoints, kprobes, uprobes, and perf_events, allowing advanced performance analysis tools to be created. These can be used in production as the BPF virtual machine is sandboxed and will reject unsafe code, and are already in use at Netflix.
Beginning with the bpf() syscall in 3.18, enhancements have been added in many kernel versions since, with major features for BPF analysis landing in Linux 4.1, 4.4, 4.7, and 4.9. Specific capabilities these provide include custom in-kernel summaries of metrics, custom latency measurements, and frequency counting kernel and user stack traces on events. One interesting case involves saving stack traces on wake up events, and associating them with the blocked stack trace: so that we can see the blocking stack trace and the waker together, merged in kernel by a BPF program (that particular example is in the kernel as samples/bpf/offwaketime).
This talk will discuss the new BPF capabilities for performance analysis and debugging, and demonstrate the new open source tools that have been developed to use it, many of which are in the Linux Foundation iovisor bcc (BPF Compiler Collection) project. These include tools to analyze the CPU scheduler, TCP performance, file system performance, block I/O, and more."
EuroBSDcon 2017 System Performance Analysis MethodologiesBrendan Gregg
keynote by Brendan Gregg. "Traditional performance monitoring makes do with vendor-supplied metrics, often involving interpretation and inference, and with numerous blind spots. Much in the field of systems performance is still living in the past: documentation, procedures, and analysis GUIs built upon the same old metrics. Modern BSD has advanced tracers and PMC tools, providing virtually endless metrics to aid performance analysis. It's time we really used them, but the problem becomes which metrics to use, and how to navigate them quickly to locate the root cause of problems.
There's a new way to approach performance analysis that can guide you through the metrics. Instead of starting with traditional metrics and figuring out their use, you start with the questions you want answered then look for metrics to answer them. Methodologies can provide these questions, as well as a starting point for analysis and guidance for locating the root cause. They also pose questions that the existing metrics may not yet answer, which may be critical in solving the toughest problems. System methodologies include the USE method, workload characterization, drill-down analysis, off-CPU analysis, chain graphs, and more.
This talk will discuss various system performance issues, and the methodologies, tools, and processes used to solve them. Many methodologies will be discussed, from the production proven to the cutting edge, along with recommendations for their implementation on BSD systems. In general, you will learn to think differently about analyzing your systems, and make better use of the modern tools that BSD provides."
OSSNA 2017 Performance Analysis Superpowers with Linux BPFBrendan Gregg
Talk by Brendan Gregg for OSSNA 2017. "Advanced performance observability and debugging have arrived built into the Linux 4.x series, thanks to enhancements to Berkeley Packet Filter (BPF, or eBPF) and the repurposing of its sandboxed virtual machine to provide programmatic capabilities to system tracing. Netflix has been investigating its use for new observability tools, monitoring, security uses, and more. This talk will be a dive deep on these new tracing, observability, and debugging capabilities, which sooner or later will be available to everyone who uses Linux. Whether you’re doing analysis over an ssh session, or via a monitoring GUI, BPF can be used to provide an efficient, custom, and deep level of detail into system and application performance.
This talk will also demonstrate the new open source tools that have been developed, which make use of kernel- and user-level dynamic tracing (kprobes and uprobes), and kernel- and user-level static tracing (tracepoints). These tools provide new insights for file system and storage performance, CPU scheduler performance, TCP performance, and a whole lot 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."
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.