A high-level view of container monitoring and its challenges in data sourcing (short-lived connections) and viz (hairballs). All in the context of Kubernetes, Prometheus, and Weave Cloud
Given by Tom Wilkie on 11 May 2016 at GOTO Stockholm
The rise of microservice-based applications has had many knock-on effects, not least on the complexity of monitoring your application.
Order-of-magnitude increase in the number of moving parts and rate of change of the application require us to reassess traditional monitoring techniques.
In this talk we will discuss some different approaches to monitoring, visualising and tracing containerised, microservices-based applications.
We’ll present different techniques to some of the emergent problems, and try not to rant too much.
Web technologies are evolving at such a frenetic pace that it becomes almost mandatory to learn on your own. A lot of us still depend on other people to do this learning for us, and we tend to use their answers to solve our everyday problems.
Inconsistent implementations, rapidly evolving specs, questionable performance impacts and maintenance implications mean we cannot always depend on others for answers but must involve ourselves actively in the process of developing specifications for new Web technologies. But how do we go about it?
There are some simple rituals we can all do, which can have us be better-informed and also better inform the people and groups who are most directly involved in the development of new Web technologies.
Given by Tom Wilkie on 11 May 2016 at GOTO Stockholm
The rise of microservice-based applications has had many knock-on effects, not least on the complexity of monitoring your application.
Order-of-magnitude increase in the number of moving parts and rate of change of the application require us to reassess traditional monitoring techniques.
In this talk we will discuss some different approaches to monitoring, visualising and tracing containerised, microservices-based applications.
We’ll present different techniques to some of the emergent problems, and try not to rant too much.
Web technologies are evolving at such a frenetic pace that it becomes almost mandatory to learn on your own. A lot of us still depend on other people to do this learning for us, and we tend to use their answers to solve our everyday problems.
Inconsistent implementations, rapidly evolving specs, questionable performance impacts and maintenance implications mean we cannot always depend on others for answers but must involve ourselves actively in the process of developing specifications for new Web technologies. But how do we go about it?
There are some simple rituals we can all do, which can have us be better-informed and also better inform the people and groups who are most directly involved in the development of new Web technologies.
(PFC303) Milliseconds Matter: Design, Deploy, and Operate Your Application fo...Amazon Web Services
You can't (yet) bend the law of Physics, but you can use the power of the cloud to design applications that run as fast as the speed of light! This session will focus on the best practices for optimizing performance to the very last millisecond. We'll dive into topics such as caching at every layer of your application, TCP optimizations, SSL optimizations, latency based routing, and much more. These best practices can help you to streamline your infrastructure utilization, improve performance and allow you to scale economically.
The year is about to end, and I didn't publish reports about checks of open-source projects for a long time. Programmers asked me to check PostgreSQL Database Management System many times, and I've finally decided to do it. Unfortunately, this article isn't going to be large and interesting, as I found just a few typical bugs in the project. So, the report is pretty short this time.
(PFC302) Performance Benchmarking on AWS | AWS re:Invent 2014Amazon Web Services
In this session, we explain how to measure the key performance-impacting metrics in a cloud-based application and best practices for a reliable benchmarking process. Measuring the performance of applications correctly can be challenging and there are many tools available to measure and track performance. This session will provide you with specific examples of good and bad tests. We make it clear how to get reliable measurements of and how to map benchmark results to your application. We also cover the importance of selecting tests wisely, repeating tests, and measuring variability. In addition a customer will provide real-life examples of how they developed their application testing stack, utilize it for repeatable testing and identify bottlenecks.
In the Container world, there is a need to build observability around apps and backing services running in containers. The observability should allow to capture on demand low level metrics at a low overhead. The proposal is to use ebpf as the tracing technology to capture details at kernel & user level, and generate on demand flamegraphs, heat maps for applications & backing services. The Linux kernel has a built-in BPF JIT compiler, and an in-kernel verifier which is used to validate eBPF programs. This allows user defined instrumentation on a live kernel image that can never crash, hang or interfere with the kernel negatively. eBPF provides in-kernel implementation of storage maps such as histograms and hash-maps, which helps in efficient copy of summarized monitoring data from kernel to user space with low overhead.
These features make eBPF programs safe to run in production and allow admins and engineers to collect crucial data from systems for performance analysis and monitoring.
Written for getting up to date with Node.js:
Inspector
Node.js API
Node.js is an open-source, cross-platform, back-end, JavaScript runtime environment that executes JavaScript code outside a web browser. Node.js lets developers use JavaScript to write command line tools and for server-side scripting—running scripts server-side to produce dynamic web page content before the page is sent to the user's web browser. Consequently, Node.js represents a "JavaScript everywhere" paradigm,[6] unifying web-application development around a single programming language, rather than different languages for server- and client-side scripts.
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."
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."
Grafana is not enough: DIY user interfaces for PrometheusWeaveworks
This talk gives a quick overview of the currently available Prometheus UIs and shows ways to build your own interfaces to enable your workflows. Most popular among the UIs is Grafana, which works well with Prometheus and is lovely for dashboarding, but terrible for troubleshooting. What do you do if you want to slightly modify queries based on your dashboards? How can you explore the keys and values of your metric labels quickly? Having trouble remembering PromQL syntax? This talk presents small building UI blocks to get to your results faster and save the day.
Weaveworks at AWS re:Invent 2016: Operations Management with Amazon ECSWeaveworks
Alfonso described how Weave open source projects (Weave Net and Weave Scope) can help with networking, visualization, and control for ECS. Specifically, Weave acts as a key communicator for networking containers with its multi-host overlay and additional features (including automatic DNS service discovery and multicast).
(PFC303) Milliseconds Matter: Design, Deploy, and Operate Your Application fo...Amazon Web Services
You can't (yet) bend the law of Physics, but you can use the power of the cloud to design applications that run as fast as the speed of light! This session will focus on the best practices for optimizing performance to the very last millisecond. We'll dive into topics such as caching at every layer of your application, TCP optimizations, SSL optimizations, latency based routing, and much more. These best practices can help you to streamline your infrastructure utilization, improve performance and allow you to scale economically.
The year is about to end, and I didn't publish reports about checks of open-source projects for a long time. Programmers asked me to check PostgreSQL Database Management System many times, and I've finally decided to do it. Unfortunately, this article isn't going to be large and interesting, as I found just a few typical bugs in the project. So, the report is pretty short this time.
(PFC302) Performance Benchmarking on AWS | AWS re:Invent 2014Amazon Web Services
In this session, we explain how to measure the key performance-impacting metrics in a cloud-based application and best practices for a reliable benchmarking process. Measuring the performance of applications correctly can be challenging and there are many tools available to measure and track performance. This session will provide you with specific examples of good and bad tests. We make it clear how to get reliable measurements of and how to map benchmark results to your application. We also cover the importance of selecting tests wisely, repeating tests, and measuring variability. In addition a customer will provide real-life examples of how they developed their application testing stack, utilize it for repeatable testing and identify bottlenecks.
In the Container world, there is a need to build observability around apps and backing services running in containers. The observability should allow to capture on demand low level metrics at a low overhead. The proposal is to use ebpf as the tracing technology to capture details at kernel & user level, and generate on demand flamegraphs, heat maps for applications & backing services. The Linux kernel has a built-in BPF JIT compiler, and an in-kernel verifier which is used to validate eBPF programs. This allows user defined instrumentation on a live kernel image that can never crash, hang or interfere with the kernel negatively. eBPF provides in-kernel implementation of storage maps such as histograms and hash-maps, which helps in efficient copy of summarized monitoring data from kernel to user space with low overhead.
These features make eBPF programs safe to run in production and allow admins and engineers to collect crucial data from systems for performance analysis and monitoring.
Written for getting up to date with Node.js:
Inspector
Node.js API
Node.js is an open-source, cross-platform, back-end, JavaScript runtime environment that executes JavaScript code outside a web browser. Node.js lets developers use JavaScript to write command line tools and for server-side scripting—running scripts server-side to produce dynamic web page content before the page is sent to the user's web browser. Consequently, Node.js represents a "JavaScript everywhere" paradigm,[6] unifying web-application development around a single programming language, rather than different languages for server- and client-side scripts.
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."
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."
Grafana is not enough: DIY user interfaces for PrometheusWeaveworks
This talk gives a quick overview of the currently available Prometheus UIs and shows ways to build your own interfaces to enable your workflows. Most popular among the UIs is Grafana, which works well with Prometheus and is lovely for dashboarding, but terrible for troubleshooting. What do you do if you want to slightly modify queries based on your dashboards? How can you explore the keys and values of your metric labels quickly? Having trouble remembering PromQL syntax? This talk presents small building UI blocks to get to your results faster and save the day.
Weaveworks at AWS re:Invent 2016: Operations Management with Amazon ECSWeaveworks
Alfonso described how Weave open source projects (Weave Net and Weave Scope) can help with networking, visualization, and control for ECS. Specifically, Weave acts as a key communicator for networking containers with its multi-host overlay and additional features (including automatic DNS service discovery and multicast).
Infrastructure microservices such as Service Discovery and Routing need mechanisms to manage distributed state. The most common answer for this is the use of a central, consistent key value store such as Consul, Etcd or Zookeeper. These systems use consensus-based algorithms, such as Raft or Paxos, to provide consistency and failure tolerance.
I believe this is a dangerous direction for our industry, and instead we should be focusing on ease of use and reliabiligy. As such, Weave wants its infrastructure microservices to be decentralized, yet easy to install and run; our approach is inspired by the Internet, which is distributed and operates with no consensus. In this talk, I'll explain how we designed our Service Discovery and Address Management using Convergent Replicated Data Types (CRDTs) and Gossip, review the pros and cons of this concept, and how it compares to alternatives.
Prometheus seems to be unstoppable and has come to be the monitoring solution of choice for time series data in microservices. This talk compares the pros and cons of running it yourself vs having it run for you in the cloud.
I prepared these slides for the meet up talk https://www.meetup.com/Cloud-Native-Computing-Berlin/events/235329061/
Or how I learned to stop worrying and love Continuous Deployment...
Presentation by Tom Wilkie on 29/09/16 at SF Microservices Meetup.
In this talk I discuss the journey Weaveworks has been through building Weave Cloud, using all the laster buzzword-compliant techniques: Microservices, DevOps, Continuous Delivery, Kubernetes, Docker etc.
Alfonso Acosta, a Software Engineer at Weave.Works will talk about an introduction to networking in the Docker Container Ecosystem. Comparing the options and taking a look at the new Docker Network Plugin. Alfonso will demonstrate how these functions enable microservice architectures.
Event: https://www.meetup.com/London-Containers-Meetup/events/226231414/
Project Frankenstein: A multitenant, horizontally scalable Prometheus as a se...Weaveworks
In this talk we'll present a prototype solution for multitenant, horizontally scalable Prometheus as a Service, code name "Project Frankenstein".
Frankenstein turns Prometheus architectural assumptions on their head, by marrying the PromQL query engine with a storage layer based on DynamoDB and S3. We have disaggregated the Prometheus binary into a microservices-style architecture, with separate services for distribution, ingest, alerting rules and storage. By designing all these services as fungible replicas, this solution can be scaled out with ease and failure of any individual replica can be dealt with gracefully.
This multitenant, scale-out Prometheus service forms a core component of Weave Cloud, a hosted management, monitoring and visualisation platform for cloud native applications. This platform is built from 100% open source components, and we're working with the Prometheus community to contribute all the changes we've made back to Prometheus. Project Frankenstein is open source and can be found at https://github.com/weaveworks/frankenstein
Monitoring Microservices @ SF Microservice meetingWeaveworks
Monitoring Microservices. Tom is a software engineer from weave.works, previously from Google and Citrix. Tom will be presenting a talk he just gave at the London Microservices meetup on ideas about how monitoring needs to be handled differently with microservice based architectures based on his experience at Google.
Project Frankenstein: A multitenant, horizontally scalable Prometheus as a se...Weaveworks
In this talk we present a prototype solution for multitenant, scale-out Prometheus. Don't worry, its open source!
Our solution turns a lot of the Prometheus architectural assumptions on its head, by marrying a scale-out PromQL query engine with a storage layer based on DynamoDB & S3. We have disaggregated the Prometheus binary into a microservices-style architecture, with separate services for distribution, ingest and storage. By designing all these services as fungible replicas, this solution can be scaled out with ease and failure of any individual replica can be dealt with gracefully.
This multitenant, scale-out Prometheus service forms a core component of the Weave Cloud, a hosted management, monitoring and visualisation platform for microservice & containerised applications. This platform is built from 100% open source components, and we're working with the Prometheus community to contribute all the changes we've made back to Prometheus.
io.Reader, io.Writer, and io.ReadWriter are some of the most powerful, yet surprisingly subtle, tools in the Go standard library. In this talk, we'll explore two concrete examples leveraging these building blocks to construct expressive and performant abstractions. We'll also cover details of package bufio, the LimitReader, and other techniques to rain kittens on our code and dial it up to 11.
By Tom Wilkie, delivered at London Microservices User Group on 2/12/15
The rise of microservice-based applications has had many knock-on effects, not least on the complexity of monitoring your application. Order-of-magnitude increase in the number of moving parts and rate of change of the application require us to reassess traditional monitoring techniques.
In this talk we will discuss some different approaches to monitoring, visualising and tracing containerised, microservices-based applications. We’ll present different techniques to some of the emergent problems, and try not to rant too much.
Prometheus was recently accepted into the Cloud Native Computing Foundation, making it the second project after Kubernetes to be given their blessing and acknowledging that Prometheus and Kubernetes make an awesome combination. In this talk we'll cover common patterns for running Prometheus on Kubernetes, how to monitor services on Kubernetes, and some cool tips and hacks to ensure you get the most out of your Prometheus + Kubernetes deployment.
The range of tools available for the Java platform is one of its many strengths, and a surprising number of these tools rely on bytecode instrumentation (BCI) and bytecode generation to do their work. A few of the many examples of where BCI is used are profiling tools, static analysis tools (FindBugs), dynamic languages (Nashorn, JRuby), and code coverage (EMMA). But BCI is a black art to most. This session aims to take away the mystery and show you what BCI is, how it is used, and how you can get started on writing your own BCI-based tooling.
مديريت استعداد به عنوان سيستمي
براي شناسايي، استخدام، پرورش، ارتقا
و نگهداري افراد مستعد، با هدف بهينه
كردن توان سازمان به منظور تحقق نتايج
كسب و كار، تعريف شده است. با توجه
به تعريف مديريت استعداد و در نظرگرفتن
چرخه حيات كاركنان به عنوان مدلي براي
يكپارچهسازي، مهمترين فرايندهاي توسعه
منابع انساني، مي توان دريافت كه مباحث
مرتبط به مديريت استعداد در تمامي
فرايندهاي چرخه قابل استقرار و تسري
است.
digidanesh.ir
Ops for NoOps - Operational Challenges for Serverless AppsErica Windisch
A look into the problems users are facing running serverless applications in production, solutions, and digging into the Lambda blackbox.
Presented by Erica Windisch, CTO of IOpipe, Inc. IOpipe offers Application Performance Monitoring for Serverless apps. Eric is ex-Docker, ex-Cloudscaling, builder of clouds, and destroyer of monoliths.
Register for IOpipe at www.iopipe.com!
This talk is aimed at technical people who have heard of Docker but not used it yet.
Docker is the new way to package, distribute and run your application or microservice. It's the bees-knees. It's the best thing since sliced bread. It's the kings pajamas etc, etc. In this short but packed talk I'll explain what Docker actually is and how it works. I'll show you how much of the hype is real and give a practical demo or two to illustrate the power of Docker. Is Docker the panacea for all ills? This talk will help you make up your mind.
How the Go language can be used to implement a version of the Actor Model for concurrent programming.
Talk given at the Golang UK conference, August 2016
Video: https://www.youtube.com/watch?v=yCbon_9yGVs
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."
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.
Рахманов Александр "Что полезного в разборе дампов для .NET-разработчиков?"Yulia Tsisyk
Сегодня на .NET-конференциях мы все чаще мы слышим про WinDBG, но в тоже время он все еще остается в стороне среди .NET-разработчиков, считается крайне специфичным и даже ненужным инструментом.
В докладе мы попробуем привнести альтернативный взгляд. Покажем как выстроить процесс сбора дампов, их анализа и исправления, встроить его в жизненный цикл разработки вашего приложения, сделав неотъемлемой частью для диагностики как рядовых, так и уникальных случаев. Затем рассмотрим группы основных проблем (deadlocks, out of memory, access violation, logical errors, etc.), которые могут произойти с вашим приложением, и инструменты для их анализа. И, конечно же, разберем примеры каждой из проблем, которые встретились нам на практике в наших продуктах, в коде .NET и WPF:
— Как при помощи флэшки «повесить» WPF-приложение?
— Безопасно ли вызывать DateTime.Now?
и другие жизненные ситуации.
Moscow .Net Meetup #4·14 ноября 2016
OSMC 2015: Linux Performance Profiling and Monitoring by Werner FischerNETWAYS
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.
Kernel Recipes 2017 - Performance analysis Superpowers with Linux BPF - Brend...Anne Nicolas
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.
Brendan Gregg, Netflix
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."
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."
EELE 5331 Digital ASIC DesignLab ManualDr. Yushi Zhou.docxtoltonkendal
EELE 5331: Digital ASIC Design
Lab Manual
Dr. Yushi Zhou
Department of Electrical Engineering
Lakehead University
Thunder Bay, Ontario, Canada
Contents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
2 MOSFET Devices and Layout Tutorial . . . . . . . . . . . . . 4
2.1 Prepare For Schematic . . . . . . . . . . . . . . . . . . 4
2.2 Perform Simulation . . . . . . . . . . . . . . . . . . . . 7
2.3 Layout . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.4 Layout Veri�cation . . . . . . . . . . . . . . . . . . . . 17
2.5 Report . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
2.6 How to understand DRC error report . . . . . . . . . . 26
3 CMOS Inverter . . . . . . . . . . . . . . . . . . . . . . . . . . 27
3.1 Design speci�cations . . . . . . . . . . . . . . . . . . . 27
3.2 Lab Procedure . . . . . . . . . . . . . . . . . . . . . . 29
3.3 Report . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
1
EELE5331:Digital ASIC Design [email protected]
1 Introduction
This lab manual is an essential components of EELE5331: Digital ASIC
Design, o�ered by Dr. Yushi Zhou. The lab works consists of schematic
entry, symbol generation, pre-layout simulation, layout, physical and logic
veri�cation, extraction and post-layout simulation for the design. All the
students are required to submit individual lab report before the deadline.
All reports must be typed and professionally prepared. The content that
needs to be included in the report are given at the end of each lab. There
are total three labs, and each part will be released before the lab starts.
• Lab 1: MOSFET devices and layout tutorial
• Lab 2: CMOS Inverter
• Lab 3: CMOS Digital Logic Circuits
It should be noted that the students are not limited to the assigned lab
time, which may not be enough to complete the lab. Students are expected
to work on the lab during their free time if that case is required. You may
use remote log-in to complete the labs.
TSMC CMOS 180 nm technology process design kit (PDK) is a 1-Poly,
6-Metal technology, with a maximum supply voltage of 1.8 V for thin oxide
devices and 3.3 V for thick oxide devices. This process is suitable for design-
ing analog, digital, RF and mixed-signal circuits and systems. In this course,
all the labs are designed based upon CMOS 180 nm process. The computer-
aided design (CAD) tools that are adopted in this course are from Cadence
Design Systems for the purpose of schematic entry, simulation, implemen-
tation and veri�cation. The Cadence custom IC design platform provides
a graphical interface for various stages in the design �ow. An overview of
the design �ow and which tools are involved in each stage is shown in Fig.1.
As you may notice that there are loops, indicating iterative procedures. For
instance, if the physical layout does not pass design rules check or LVS check,
Page 2
EELE5331:Digital ASIC Design [email protected]
the modi�cation of.
✅ Ejemplo 1: End Device based on #Arduino
✅ Ejemplo 2: #ATMEGA328P#Proteus Schematic
#GRABCAD
Proteus #PCB Layout
Proteus 3D Visualizer
Leer temas relacionados al diseño de PCB:
https://vasanza.blogspot.com/
✅ 2020 PAO2: Electronic Prototype Development
✅ #Proteus #PCB Design
✅ Instalación de #ALTIUM #CircuitMaker y especificaciones del #ESP32
✅ #ESP8266 Module
✅ Create a #Schematic in Altium Designer
✅ Create a #PCB in #Altium Designer
✅ Modular design approach in #Altium Designer
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.
Similar to Monitoring Containers with Weave Scope (20)
Weave AI Controllers (Weave GitOps Office Hours)Weaveworks
LLMs are one of the rising workloads on Kubernetes and so are the complexities of deploying, managing and fine-tuning them. With this latest extension we can offer a strong blueprint for enterprises on how to keep LLMs OCI contained with the use of Kubernetes, Flux and Weave AI Controllers.
The Highlights:
* Simplified deployment, management, and fine-tuning of LLMs on any Kubernetes infrastructure.
* Strong security and governance ensured through GitOps workflows and a robust signing and verification process.
The Whys:
* Security, Governance & Compliance: Ensures vulnerability-free and compliant deployments.
* Seamless Integration: Works with existing systems, including Red Hat OpenShift.
* GitOps for Productivity & Collaboration: Leverages the power of Flux and Kubernetes for automated, streamlined workflows.
The Weave AI Controllers are an out of the box extension for Flux and are shipped and supported with Weave GitOps Assured (https://www.weave.works/product/gitops) and Enterprise (https://www.weave.works/product/gitops-enterprise/).
Read our latest blog for more information (https://www.weave.works/blog/weave-ai-controllers) and visit GitHub to get started - https://github.com/weave-ai/weave-ai
Flamingo: Expand ArgoCD with Flux (Office Hours)Weaveworks
Flamingo is an open source tool that allows for integrated use of both Flux and ArgoCD, the two leading GitOps solutions available today.
* See how to integrate the two most used CNCF projects together to create flexible and extensible GitOps solutions.
* Learn how to use Flux’s powerful and secure controllers with ArgoCD’s web-based GUI.
* Understand how Flamingo provides a path towards Platform Engineering for ArgoCD users.
* Explore extending ArgoCD to manage Infrastructure as Code through Flux’s Terraform Controller.
For more information visit: https://github.com/flux-subsystem-argo/flamingo
Webinar: Capabilities, Confidence and Community – What Flux GA Means for YouWeaveworks
Flux, the original GitOps project, began its development in a small London office back in 2017 with the goal to bring continuous delivery (CD) to developers, platform and cluster operators working with Kubernetes. From donating the project to the CNCF, its continued growth within the cloud native community, to its achievement of passing rigorous battle tests for security, longevity and governance, it’s little wonder that Flux v2 has reached yet another celebratory milestone – General Availability (GA).
Flux is the GitOps platform of choice for many enterprise companies such as SAP, Volvo Cars, and Axel Springer; and is embedded within AKS, Azure Arc and EKS Anywhere. It provides extensive automation to CI/CD, security and audit trails, and reliability through canary deployments and rollback capabilities.
Join this webinar by Flux maintainers and creators and discover:
* Latest release features and roadmap for the future.
* Interesting use cases for Flux (e.g security).
* Flux capabilities you may not be aware of (e.g. extensions).
* Joining the vibrant Flux community.
* How to leverage Flux in a supported enterprise environment today.
Although not an entirely new concept, Platform Engineering and Internal Developer Platforms (IDPs) are all the rage due to their potential to increase development velocity and deployment frequency while boosting reliability and security.
Join Joe Dahlquist, VP of PMM and Mohamed Ahmed, VP of Developer Platforms at Weaveworks to learn the 6 tell-tale signs your company should implement a platform engineering approach. The webinar draws on hundreds of conversations with SRE’s, developers, and platform engineering teams to help you better understand what works, what doesn’t and what might be missing from your strategy. Attendees can apply these learnings to their first (or next) developer platform regardless of your build vs. buy journey.
You will learn:
* The difference between Internal Developer Platforms and Platform Engineering
* Why platform engineering now?
* How Dev and Ops benefit from an IDP
* 6 tell-tale signs to start platform engineering
* Drafting your platform engineering strategy - where to begin and what to avoid
SRE and GitOps for Building Robust Kubernetes Platforms.pdfWeaveworks
In today's technology-driven landscape, ensuring the reliability and stability of systems is critical for organizations to deliver exceptional user experiences. Site Reliability Engineering (SRE) has emerged as a proven methodology to achieve operational excellence and elevate performance.
By combining SRE and GitOps, organizations can leverage the benefits of both methodologies. GitOps provides a reliable and auditable approach to managing infrastructure and application changes, ensuring that all deployments are version-controlled and consistent across environments. This aligns with the SRE principle of implementing standardized and automated processes for maintaining system reliability.
Join our live webinar as we introduce the fundamentals and significance of SRE and GitOps, and provide actionable strategies for implementation. We’ll also explore the features of Weave GitOps that integrate SRE and GitOps practices to streamline workflows to support system reliability and stability.
You will learn:
An overview and correlation of key SRE and GitOps best practices
The 5 keys DORA metrics for measuring performance of software delivery.
How to leverage continuous delivery and progressive delivery to enhance application stability.
How Weave GitOps can reliably simplify the management of infrastructure and applications, with real-world customer examples illustrating their impact.
Webinar: End to End Security & Operations with Chainguard and Weave GitOpsWeaveworks
One of the key values of GitOps relies on its fully declarative single source of truth in Git for the desired state of your entire system – configuration that continuously reconciles with the runtime of the system.
Validating committer identity in your Git repository is a critical component towards a secure GitOps solution. Although basic capabilities are provided by Git service providers, more granular controls for governance and compliance are a requirement to satisfy most enterprise grade implementations.
How do you keep that end to end process secure, from Git to Runtime?
Join Weaveworks and Chainguard for a live webinar where we will look at how Chainguard Enforce for Git together with Weave GitOps Enterprise Policy Engine allows you to secure your end to end GitOps workflows, from Git to Runtime.
You will learn how to:
- Use Chainguard Enforce for Git to ensure only authorized GitOps tooling can modify your desired state.
- Provide a secure identity to Weave GitOps Enterprise for all Git operations.
- Use Weave GitOps Policy Engine to guarantee compliance on admission.
Flux Beyond Git Harnessing the Power of OCIWeaveworks
Watch the recap: https://youtu.be/gKR95Kmc5ac
In this KubeCon Europe 2023 session, Stefan and Hidde will talk about the latest developments of Flux around the Open Container Initiative (OCI). The focus will be on how OCI can serve as the single source of truth for both application code (container images) and configuration (OCI artifacts). We will start by explaining how Flux can be used as a package manager for distributing Kubernetes configs and Terraform modules as OCI artifacts. Afterwards, we will demonstrate how to build a secure delivery pipeline that leverages Flux integrations with GitHub Actions and keyless signatures from Sigstore Cosign. Lastly, we will touch upon the upcoming plans for 2023 and the significance of OCI in the future of continuous delivery with Flux.
Automated Provisioning, Management & Cost Control for Kubernetes ClustersWeaveworks
In today’s economic climate, IT departments are feeling the pressure to reduce costs which can have a significant effect on development teams, and more specifically, Kubernetes strategies. For many organizations, there is a good chance that many Kubernetes resources are overprovisioned, and it’s often difficult to visualize which processes are responsible for this unnecessary spend.
Weaveworks has joined forces with KubeCost to show you how to “do more with less” by easily integrating a Kubernetes FinOps solution into your existing workflows and seamlessly automating the provisioning and management of FinOps enabled Kubernetes clusters from a single UI / dashboard.
Join this webinar to discover best practices for monitoring and reducing Kubernetes spend, while balancing cost, performance, and reliability.
What you’ll learn:
- Best practices for implementing a FinOps strategy in your organization.
- Cluster management and templating capabilities using Weave GitOps for automating FinOps.
- How to use predefined, automated policies for reliable cost control across your Kubernetes environment.
How to Avoid Kubernetes Multi-tenancy CatastrophesWeaveworks
Picture this… It’s the middle of the night on a Saturday, and the sound of slack messages rolling in rouses you from slumber. Then two text messages chime in quick succession. As you grab your phone and pry open an eye to figure out WTF, the phone rings - and it’s your boss!? You stammer out a “Hello?”
She sounds alarmed. “Wake up, we have a big problem”
“It’s two-in-the-morning, what problem?” you croak back.
“I guess you missed the alerts while you were sleeping…API endpoints in prod are getting knocked over, and the tokens responsible are yours.”
“They’re what? How?”
“Get to your machine and jump on the meeting link I just sent - everybody’s waiting”
Yikes. Join Weaveworks for some real-world tales from the trenches, and learn about the 5 simple things you can do to prevent making a royal mess of Tenancy in Kubernetes. Hear from developers that got that late night call because of a bone-headed accident, and teams affected by gob-smacking access and permissions foul-ups. Luckily for us, they were happy to tell us the tales so we can learn from their pain.
Weave GitOps Workspaces is a new feature that enables multi-tenancy so platform engineers can scale their GitOps workflows across numerous development teams. Oh yeah, it also wards -off wake-up calls in the middle of the night, which is nice.
Watch this webinar recording to learn:
- How Weave GitOps simplifies tenancy management
- How security guardrails keep you from blowing a hole in your app, and across your team
- 5 takeaways for enabling Kubernetes tenancy safely and effectively for your teams
Building internal developer platform with EKS and GitOpsWeaveworks
An internal developer platform (IDP) is a set of standardized tools and technologies that enables development teams to self-service, offering convenient access to resources they need to create and deploy compliant code. The ultimate goal is to facilitate automation, autonomy and productivity across large teams. However, creating an IDP is highly complex, especially when bridging hybrid scenarios. In fact, build timelines can take anywhere between one to two years!
In this Techstrong Learning Experience, we will discuss how platform engineers can more efficiently build an IDP with Amazon EKS and Weave GitOps and accelerate cloud-native adoption while speeding up migration of existing applications to the cloud.
Our experts will also introduce EKS Blueprints, a collection of infrastructure-as-code (IaC) modules like Terraform and AWS Cloud Development Kit (AWS CDK) that will help you configure and deploy consistent EKS clusters across on-premises and cloud.
Key Takeaways:
- Why you should build a self-service IDP
- How to leverage EKS, GitOps and EKS Blueprints to build your IDP
- A review of use cases and benefits of an IDP
GitOps Testing in Kubernetes with Flux and Testkube.pdfWeaveworks
GitOps is amazing... until you can't apply it! This has been the case mostly for testing where it continues to be more of a push than a pull in organizations' DevOps pipelines.
Join us in this talk to learn the benefits of improving your existing testing pipeline with Testkube, an open source project that brings tests inside your Kubernetes cluster, and FluxCD adding the GitOps sprinkles to testing!
Speaker: Abdallah Abedraba, Product Leader at Testkube
Abdallah works at Testkube, a Kubernetes native testing framework. In his prior experiences, he has tried everything from software engineering to product management, and now working as a Developer Advocate, on open source (a dream of his!) evangelizing all things Testing and Kubernetes. In his free time, he enjoys attending developer conferences and meetups, as well as spending time at the movies and actively listening to music.
Intro to GitOps with Weave GitOps, Flagger and LinkerdWeaveworks
You may not think of "GitOps" and "service mesh" together – but maybe you should! These two wildly different technologies are each enormously capable independently, and combined they deliver far more than the sum of their parts: a single Git commit can control workflows customized for your exact situation by taking advantage of the service mesh's ability to measure and manipulate traffic anywhere in your application's call graph, and you can rest easy knowing that Git is preserving the complete configuration for your entire application every step of the way.
See how these technologies can work together to tackle complex problems in cloud-native applications.
What you’ll get out of this:
* Understand what GitOps and service meshes can - and can't - do for you.
* Understand basic operations with GitOps and Linkerd.
* Understand the basics of continuous deployment with Weave GitOps and Linkerd.
Implementing Flux for Scale with Soft Multi-tenancyWeaveworks
Soft multi-tenancy can be hard to achieve and secure. Multiple tenants sharing the same cluster means there are global objects, like Custom Resource Definitions (CRDs), namespaces, and so on, that you don’t want tenants controlling. Platform admins, cluster admins, and tenants, should be separated, with dedicated namespaces, role bindings, node groups, taints and tolerations, etc.
With Flux, tenant isolation is enforced by default, so you don’t have to worry about accidental tenant cross-over / cross-contamination.
In this session, Priyanka “Pinky” Ravi, Developer Experience Engineer at Weaveworks, will walk you through how to set up multi-tenancy on an existing Kubernetes cluster and manage several tenants within the cluster.
Take advantage of the benefits that come with infrastructure as code.
Accelerating Hybrid Multistage Delivery with Weave GitOps on EKSWeaveworks
Join Leo Murillo, Principal Solutions Architect at Weaveworks and Rama Ponnuswami, Sr. Container Specialist at AWS, as they walk through accelerating Multi-stage delivery on GitOps. If you already have EKS-A, you are ready to automate the release of multistage delivery. Thus, allowing you to deploy more often and reliably with less overhead.
In this Webinar, we cover:
- Best practices for CI/CD, GitOps and Application Pipeline Management.
- Simple cluster management across Kubernetes hybrid infrastructure.
- Multistage deployments using Weave GitOps for EKS and EKS-A using a single UI dashboard.
Shift Deployment Security Left with Weave GitOps & Upbound’s Universal Crossp...Weaveworks
In this session, we’ve partnered with Upbound to showcase how to effectively manage application delivery while maintaining a high level of security using Weave GitOps and Upbound. Managing a stateful application deployment with a relational database, Weave GitOps can recognize if there is a policy violation and correct it before deploying the application.
Join us as we demonstrate the scenarios where:
All changes to application configuration are managed through Git workflows
Upbound’s Universal Crossplane allows you to build, deploy, and manage your cloud platforms
GitOps provides an extra layer of security by removing the need for direct access to Kubernetes clusters
Policy-as-Code guarantees security, resilience and coding standards compliance
Watch the recording: xx
Securing Your App Deployments with Tunnels, OIDC, RBAC, and Progressive Deliv...Weaveworks
In a joint webinar with Traefik Labs, we show how Traefik Hub, a SaaS-based cloud native networking platform, helps you publish your containers securely in seconds with tunnels, OIDC authentication and automated TLS certificate management. And, how you can combine that with Weave GitOps to achieve continuous application delivery using progressive delivery strategies for risk-free and reliable deployments.
Security is key, so we showcase multi-tenancy for full RBAC across the different deployment stages, and trusted delivery best practices for continuous security and compliance baked in.
Learn how:
- To utilize canary deployments for reliable and risk-free application deployments.
- GitOps lets you automate and secure the publishing of containers at the edge consistently.
- Easy it is to deploy, update and manage your application workloads on Kubernetes.
- To publish containers securely using tunnels, OIDC authentication and TLS certificate management.
Flux’s Security & Scalability with OCI & Helm Slides.pdfWeaveworks
During this session Kingdon Barrett, OSS Engineer at Weaveworks & Flux Maintainer, will show you how to quickly create scalable and Cosign-verified GitOps configurations with Flux using the same process with two demo environments: one will be a Kustomize Environment and the other a Helm-based environment.
Flux Security & Scalability using VS Code GitOps Extension Weaveworks
Recently Flux has released two new features (OCI and Cosign) for scalable and secure GitOps. Juozas Gaigalas, a Developer Experience Engineer at Weaveworks, will demonstrate how developers and platform engineers can quickly create scalable and Cosign-verified GitOps configurations using VS Code GitOps Tools extension. New and experienced Flux users can learn about Flux’s OCI and Cosign support through this demo.
Deploying secure, cloud native stateful applications requires a high level of performance across hybrid and multi-cloud environments.
Using the scalable, highly performant storage provided by Ondat in combination with Weave GitOps Trusted Delivery, you can shift left security and accelerate software development.
Watch this on-demand webinar as we demonstrate how:
- All changes to application configuration are managed through Git workflows
GitOps provides an extra layer of security by removing the need for direct access to Kubernetes clusters.
- Policy-as-Code guarantees security, resilience and coding standards compliance.
- To dynamically provision highly available persistent volumes by simply deploying Ondat anywhere with a simple operator profile.
- All data services such as replication, compression and encryption, are optimized and accelerated to scale on any platform with Ondat’s low latency data plane.
Italy Agriculture Equipment Market Outlook to 2027harveenkaur52
Agriculture and Animal Care
Ken Research has an expertise in Agriculture and Animal Care sector and offer vast collection of information related to all major aspects such as Agriculture equipment, Crop Protection, Seed, Agriculture Chemical, Fertilizers, Protected Cultivators, Palm Oil, Hybrid Seed, Animal Feed additives and many more.
Our continuous study and findings in agriculture sector provide better insights to companies dealing with related product and services, government and agriculture associations, researchers and students to well understand the present and expected scenario.
Our Animal care category provides solutions on Animal Healthcare and related products and services, including, animal feed additives, vaccination
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
3. Rogue waves present
considerable danger for
several reasons:
• unpredictable
• may appear suddenly
or without warning
• and can impact with
tremendous force.
4. Performance Methodologies
• For system engineers
- ways to analyse unfamiliar systems
• For app developers
- guidance for metric and dashboard
design
- Brendan Gregg’s Systems Methodology
5. Traffic Light Anti-Method
1. Turn all metrics into traffic lights
2. Everything green?
No worries, mate.
- Brendan Gregg’s Systems Methodology
🚦
12. Stop sampling,
start listening
EBPF
• user-defined sandboxed kernel
programs
• live-instrumentation on vanilla kernel
• listen to connection events same
way as conntrack does, but with
PID(!)
19. USE vs RED
USE: For every resource, check:
• Utilisation
• Saturation
• Errors
RED: For every service, check:
• Request Rate
• Error rate
• Duration (latency distribution)
* http://www.brendangregg.com/usemethod.html
20. New data sources
• plugins can add
metadata and metrics
• EBPF (ongoing)
• custom
instrumentation
21.
22. Prometheus & K8s
• Kubernetes is already
instrumented for
Prometheus
• Application-level
metrics from
instrumentation