Delivered at the FISL13 conference in Brazil: http://www.youtube.com/watch?v=K9w2cipqfvc
This talk introduces the USE Method: a simple strategy for performing a complete check of system performance health, identifying common bottlenecks and errors. This methodology can be used early in a performance investigation to quickly identify the most severe system performance issues, and is a methodology the speaker has used successfully for years in both enterprise and cloud computing environments. Checklists have been developed to show how the USE Method can be applied to Solaris/illumos-based and Linux-based systems.
Many hardware and software resource types have been commonly overlooked, including memory and I/O busses, CPU interconnects, and kernel locks. Any of these can become a system bottleneck. The USE Method provides a way to find and identify these.
This approach focuses on the questions to ask of the system, before reaching for the tools. Tools that are ultimately used include all the standard performance tools (vmstat, iostat, top), and more advanced tools, including dynamic tracing (DTrace), and hardware performance counters.
Other performance methodologies are included for comparison: the Problem Statement Method, Workload Characterization Method, and Drill-Down Analysis Method.
CI:CD in Lightspeed with kubernetes and argo cdBilly Yuen
Enterprises have benefited greatly from the elastic scalability and multi-region availability by moving to AWS, but the fundamental deployment model remains the same.
At Intuit, we have adopted k8s as our new saas platform and re-invented our CI/CD pipeline to take full advantage of k8s. In this presentation, we will discuss our journey from Spinnaker to Argo CD.
1. Reduce CI/CD time from 60 minutes to 10 minutes.
2. Reduce production release (or rollback) from 10 minutes to 2 minutes.
3. Enable concurrent deployment using spinnaker and argo cd as HA/DR to safely adopt the new platform with no downtime.
4. Be compatible with the existing application monitoring toolset.
High Performance Object Storage in 30 Minutes with Supermicro and MinIORebekah Rodriguez
The Supermicro Cloud DC is the perfect combination of performance, reliability, craftsmanship and flexibility for deploying MinIO object storage. MinIO on the Cloud DC platform outperforms and is more cost-effective than equivalently-sized hardware from other manufacturers. We recently benchmarked a cluster of four Cloud DC servers with NVMe drives and measured an impressive 42.57 GB/s average read (GET) throughput and 24.69 GB/s average write (PUT) throughput. This first class performance demonstrates that MinIO on Supermicro Cloud DC is a compelling solution for object storage intensive workloads such as advanced analytics, AI/ML and other modern, cloud-native applications.
In this webinar, you will learn:
Best use cases and deployment considerations for MinIO object storage
How to design and size a MinIO object storage cluster on Supermicro Cloud DC
How to deploy a distributed MinIO cluster onto a Cloud DC server cluster
Watch the Webinar: https://www.brighttalk.com/webcast/17278/519401
* What is different GitHub Flow and Git Flow?
* What is GitHub Actions?
* How to write the simple workflow?
* What's problem in GitHub Actions UI?
* What's problem with Secrets in GitHub Actions?
* How to write your first GitHub Actions and upload to the marketplace?
* What's a problem with environment variables in GitHub Actions?
Delivered at the FISL13 conference in Brazil: http://www.youtube.com/watch?v=K9w2cipqfvc
This talk introduces the USE Method: a simple strategy for performing a complete check of system performance health, identifying common bottlenecks and errors. This methodology can be used early in a performance investigation to quickly identify the most severe system performance issues, and is a methodology the speaker has used successfully for years in both enterprise and cloud computing environments. Checklists have been developed to show how the USE Method can be applied to Solaris/illumos-based and Linux-based systems.
Many hardware and software resource types have been commonly overlooked, including memory and I/O busses, CPU interconnects, and kernel locks. Any of these can become a system bottleneck. The USE Method provides a way to find and identify these.
This approach focuses on the questions to ask of the system, before reaching for the tools. Tools that are ultimately used include all the standard performance tools (vmstat, iostat, top), and more advanced tools, including dynamic tracing (DTrace), and hardware performance counters.
Other performance methodologies are included for comparison: the Problem Statement Method, Workload Characterization Method, and Drill-Down Analysis Method.
CI:CD in Lightspeed with kubernetes and argo cdBilly Yuen
Enterprises have benefited greatly from the elastic scalability and multi-region availability by moving to AWS, but the fundamental deployment model remains the same.
At Intuit, we have adopted k8s as our new saas platform and re-invented our CI/CD pipeline to take full advantage of k8s. In this presentation, we will discuss our journey from Spinnaker to Argo CD.
1. Reduce CI/CD time from 60 minutes to 10 minutes.
2. Reduce production release (or rollback) from 10 minutes to 2 minutes.
3. Enable concurrent deployment using spinnaker and argo cd as HA/DR to safely adopt the new platform with no downtime.
4. Be compatible with the existing application monitoring toolset.
High Performance Object Storage in 30 Minutes with Supermicro and MinIORebekah Rodriguez
The Supermicro Cloud DC is the perfect combination of performance, reliability, craftsmanship and flexibility for deploying MinIO object storage. MinIO on the Cloud DC platform outperforms and is more cost-effective than equivalently-sized hardware from other manufacturers. We recently benchmarked a cluster of four Cloud DC servers with NVMe drives and measured an impressive 42.57 GB/s average read (GET) throughput and 24.69 GB/s average write (PUT) throughput. This first class performance demonstrates that MinIO on Supermicro Cloud DC is a compelling solution for object storage intensive workloads such as advanced analytics, AI/ML and other modern, cloud-native applications.
In this webinar, you will learn:
Best use cases and deployment considerations for MinIO object storage
How to design and size a MinIO object storage cluster on Supermicro Cloud DC
How to deploy a distributed MinIO cluster onto a Cloud DC server cluster
Watch the Webinar: https://www.brighttalk.com/webcast/17278/519401
* What is different GitHub Flow and Git Flow?
* What is GitHub Actions?
* How to write the simple workflow?
* What's problem in GitHub Actions UI?
* What's problem with Secrets in GitHub Actions?
* How to write your first GitHub Actions and upload to the marketplace?
* What's a problem with environment variables in GitHub Actions?
Designing a complete ci cd pipeline using argo events, workflow and cd productsJulian Mazzitelli
https://www.youtube.com/watch?v=YmIAatr3Who
Presented at Cloud and AI DevFest GDG Montreal on September 27, 2019.
Are you looking to get more flexibility out of your CICD platform? Interested how GitOps fits into the mix? Learn how Argo CD, Workflows, and Events can be combined to craft custom CICD flows. All while staying Kubernetes native, enabling you to leverage existing observability tooling.
We believe that the popularity of Kubernetes derives from its ability to adapt and improve the infrastructure in which is deployed. I'll explain how this is done
Infrastructure-as-Code with Pulumi- Better than all the others (like Ansible)?Jonas Hecht
There's a new Infrastructure-as-Code (IaC) kid on the block: Pulumi is there to frighten the established: Chef, Puppet, Terraform, Cloudformation, Ansible... But is it really the "better" tool and how could they be compared? Is it only hype-driven? We'll find out, incl. lot's of example code. (ContainerConf / Continuous Lifecycle 2019 Talk in Mannheim)
Example GitHub code: https://github.com/jonashackt/pulumi-python-aws-ansible
https://github.com/jonashackt/pulumi-typescript-aws-fargate
The Power of GitOps with Flux & GitOps ToolkitWeaveworks
GitOps Days Community Special
Watch the video here: https://youtu.be/0v5bjysXTL8
New to GitOps or been a long-time Flux user?
We'll walk you through the benefits of GitOps and then demo it in action with a sneak peak into the next gen Flux and GitOps Toolkit!
* Automation!
* Visibility!
* Reconciliation!
* Powerful use of Prometheus and Grafana!
* GitOps for Helm!
For Flux users, Flux v1 is decoupled into Flux v2 and GitOps Toolkit. We'll demo how this decoupling gives you more control over how you can do GitOps and with fewer steps!
Join Leigh Capili and Tamao Nakahara as they show you GitOps in action with Flux and GitOps Toolkit.
Note to our Flux community that Flux v2 and the GitOps Toolkit is in development and Flux v1 is in maintenance mode. These talks and upcoming guides will give you the most up-to-date info and steps to migrate once we reach feature parity and start the migration process. We are dedicated to the smoothest experience possible for our Flux community, so please join us if you'd like early access and to give us feedback for the migration process.
We are really excited by the improvements and want to take this opportunity to show you what the GitOps Toolkit is all about, walk you through the guides and get your feedback!
For more info, see https://toolkit.fluxcd.io/.
Here's our latest blog post on Flux v2 and GitOps Toolkit updates: https://www.weave.works/blog/the-road-to-flux-v2-october-update
Github Actions enables you to create custom software development lifecycle workflows directly in your Github repository. These workflows are made out of different tasks so-called actions that can be run automatically on certain events.
GitOps è un nuovo metodo di CD che utilizza Git come unica fonte di verità per le applicazioni e per l'infrastruttura (declarative infrastructure/infrastructure as code), fornendo sia il controllo delle revisioni che il controllo delle modifiche. In questo talk vedremo come implementare workflow di CI/CD Gitops basati su Kubernetes, dalla teoria alla pratica passando in rassegna i principali strumenti oggi a disposizione come ArgoCD, Flux (aka Gitops engine) e JenkinsX
This talk discusses the core concepts behind the Kubernetes extensibility model. We are going to see how to implement new CRDs, operators and when to use them to automate the most critical aspects of your Kubernetes clusters.
A Hands-on Introduction on Terraform Best Concepts and Best Practices Nebulaworks
At our OC DevOps Meetup, we invited Rami Al-Ghami, a Sr. Software engineer at Workday to deliver a presentation on a Hands-On Terraform Best Concepts and Best Practices.
The software lifecycle does not end when the developer packages their code and makes it ready for deployment. The delivery of this code is an integral part of shipping a product. Infrastructure orchestration and resource configuration should follow a similar lifecycle (and process) to that of the software delivered on it. In this talk, Rami will discuss how to use Terraform to automate your infrastructure and software delivery.
While many organizations have started to automate their software development processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
Designing a complete ci cd pipeline using argo events, workflow and cd productsJulian Mazzitelli
https://www.youtube.com/watch?v=YmIAatr3Who
Presented at Cloud and AI DevFest GDG Montreal on September 27, 2019.
Are you looking to get more flexibility out of your CICD platform? Interested how GitOps fits into the mix? Learn how Argo CD, Workflows, and Events can be combined to craft custom CICD flows. All while staying Kubernetes native, enabling you to leverage existing observability tooling.
We believe that the popularity of Kubernetes derives from its ability to adapt and improve the infrastructure in which is deployed. I'll explain how this is done
Infrastructure-as-Code with Pulumi- Better than all the others (like Ansible)?Jonas Hecht
There's a new Infrastructure-as-Code (IaC) kid on the block: Pulumi is there to frighten the established: Chef, Puppet, Terraform, Cloudformation, Ansible... But is it really the "better" tool and how could they be compared? Is it only hype-driven? We'll find out, incl. lot's of example code. (ContainerConf / Continuous Lifecycle 2019 Talk in Mannheim)
Example GitHub code: https://github.com/jonashackt/pulumi-python-aws-ansible
https://github.com/jonashackt/pulumi-typescript-aws-fargate
The Power of GitOps with Flux & GitOps ToolkitWeaveworks
GitOps Days Community Special
Watch the video here: https://youtu.be/0v5bjysXTL8
New to GitOps or been a long-time Flux user?
We'll walk you through the benefits of GitOps and then demo it in action with a sneak peak into the next gen Flux and GitOps Toolkit!
* Automation!
* Visibility!
* Reconciliation!
* Powerful use of Prometheus and Grafana!
* GitOps for Helm!
For Flux users, Flux v1 is decoupled into Flux v2 and GitOps Toolkit. We'll demo how this decoupling gives you more control over how you can do GitOps and with fewer steps!
Join Leigh Capili and Tamao Nakahara as they show you GitOps in action with Flux and GitOps Toolkit.
Note to our Flux community that Flux v2 and the GitOps Toolkit is in development and Flux v1 is in maintenance mode. These talks and upcoming guides will give you the most up-to-date info and steps to migrate once we reach feature parity and start the migration process. We are dedicated to the smoothest experience possible for our Flux community, so please join us if you'd like early access and to give us feedback for the migration process.
We are really excited by the improvements and want to take this opportunity to show you what the GitOps Toolkit is all about, walk you through the guides and get your feedback!
For more info, see https://toolkit.fluxcd.io/.
Here's our latest blog post on Flux v2 and GitOps Toolkit updates: https://www.weave.works/blog/the-road-to-flux-v2-october-update
Github Actions enables you to create custom software development lifecycle workflows directly in your Github repository. These workflows are made out of different tasks so-called actions that can be run automatically on certain events.
GitOps è un nuovo metodo di CD che utilizza Git come unica fonte di verità per le applicazioni e per l'infrastruttura (declarative infrastructure/infrastructure as code), fornendo sia il controllo delle revisioni che il controllo delle modifiche. In questo talk vedremo come implementare workflow di CI/CD Gitops basati su Kubernetes, dalla teoria alla pratica passando in rassegna i principali strumenti oggi a disposizione come ArgoCD, Flux (aka Gitops engine) e JenkinsX
This talk discusses the core concepts behind the Kubernetes extensibility model. We are going to see how to implement new CRDs, operators and when to use them to automate the most critical aspects of your Kubernetes clusters.
A Hands-on Introduction on Terraform Best Concepts and Best Practices Nebulaworks
At our OC DevOps Meetup, we invited Rami Al-Ghami, a Sr. Software engineer at Workday to deliver a presentation on a Hands-On Terraform Best Concepts and Best Practices.
The software lifecycle does not end when the developer packages their code and makes it ready for deployment. The delivery of this code is an integral part of shipping a product. Infrastructure orchestration and resource configuration should follow a similar lifecycle (and process) to that of the software delivered on it. In this talk, Rami will discuss how to use Terraform to automate your infrastructure and software delivery.
While many organizations have started to automate their software development processes, many still engineer their infrastructure largely by hand. Treating your infrastructure just like any other piece of code creates a “programmable infrastructure” that allows you to take full advantage of the scalability and reliability of the AWS cloud. This session will walk through practical examples of how AWS customers have merged infrastructure configuration with application code to create application-specific infrastructure and a truly unified development lifecycle. You will learn how AWS customers have leveraged tools like CloudFormation, orchestration engines, and source control systems to enable their applications to take full advantage of the scalability and reliability of the AWS cloud, create self-reliant applications, and easily recover when things go seriously wrong with their infrastructure.
PuppetConf 2016: The Challenges with Container Configuration – David Lutterko...Puppet
Here are the slides from David Lutterkort's PuppetConf 2016 presentation called The Challenges with Container Configuration. Watch the videos at https://www.youtube.com/playlist?list=PLV86BgbREluVjwwt-9UL8u2Uy8xnzpIqa
Introducing containers into your infrastructure brings new capabilities, but also new challenges, in particular around configuration. This talk will take a look under the hood at some of those operational challenges including:
* The difference between runtime and build-time configuration, and the importance of relating the two together.
* Configuration drift, immutable mental models and mutable container file systems.
* Who configures the orchestrators?
* Emergent vs. model driven configuration.
In the process we will identify some common problems and talk about potential solutions.
Talk from PuppetConf 2016
This lecture discusses a group of techniques to use commands output/Input to feed into other commands or into files. It also covers argument expansion and quoting
Check the other Lectures and courses in
http://Linux4EnbeddedSystems.com
or Follow our Facebook Group at
- Facebook: @LinuxforEmbeddedSystems
Lecturer Profile:
- https://www.linkedin.com/in/ahmedelarabawy
Docker Essentials Workshop— Innovation Labs July 2020CloudHero
This presentation was the foundation of our Docker Essentials workshop hosted by CloudHero CEO & founder Andrei Manea for the Innovation Labs team on the 23rd of July 2020.
This presentation covers the following topics:
-Getting started with containers
-A bit of history about orchestration
-Introduction to services (what they are, how to create and scale them).
To find out more about this topic, check https://cloudhero.io/
Command line for the beginner - Using the command line in developing for the...Jim Birch
This session will introduce the incredible potential of using the command line in developing for the web.
Interested WordPress designers and developers will gain the knowledge of using SSH to connect to servers, Git for version control, WP-CLI for interfacing with WordPress, Aliases and Bash scripts for common tasks, and automation/task runners like Grunt and Gulp.
Attendees will come away from the session with their interest piqued, with the desire to learn more about using the command line in their workflow.
Coming from UNIX System V (IBM AIX & Sun Solaris) System Programmer background, I find Linux has become the defacto choice for many computing workload, from embedded device, mobile phone, mission critical systems, all the way to the largest Super Computer Cluster in the world.
While Linux has tried to maintain its UNIX design philosophy, its foundation has radically changed departing its UNIX root (bye init, hi systemd), towards modern Operating Systems which many of its features have equivalent of its UNIX counterparts - if not better (Linux Container vs AIX WPAR/Solaris Zones, Solaris ZFS vs Stratis, and many more).
This document is not meant to beat Red Hat comprehensive online manual, instead it was written to help me memorize many of advanced RHEL features and to help me pass hands on performance based EX200 exam.
This document is compiled from many sources, and written for anyone who would like to learn Red Hat Enterprise Linux 8, through taking EX200 exam in order to showing off RHCSA title to your friend :D
Happy Learning and may the force be with you!
Get hands-on with security features and best practices to protect your containerized services. Learn to push and verify signed images with Docker Content Trust, and collaborate with delegation roles. Intermediate to advanced level Docker experience recommended, participants will be building and pushing with Docker during the workshop.
Led By Docker Security Experts:
Riyaz Faizullabhoy
David Lawrence
Viktor Stanchev
Experience Level: Intermediate to advanced level Docker experience recommended
From Arm to Z: Building, Shipping, and Running a Multi-platform Docker Swarm ...Docker, Inc.
We live in a multi-platform world, and who doesn't want their project to run on all of them? The last few DockerCon events have covered the introduction of multi-platform image capabilities into the Docker registry and engine releases. Now it's time to put these features to good use building applications across architectures and running them all in a heterogeneous Docker Swarm! In this talk we'll cover the new `docker manifest` command for making multi-architecture images; how to emulate architectures in docker containers on your own machine; and give a live demonstration of these capabilities with a Docker Swarm consisting of workers of different CPU architectures, including armhf, ppc64le, s390x, and x86_64. We'll also share some pointers for making sure your project is multi-platform ready! Three Takeaways: 1. Attendees will be introduced to manifest lists and how to create multi-arch images using the new 'docker manifest' command. 2. Attendees will learn how to easily create and deploy a basic multi-arch service using multi-platform images. 3. Bonus: Attendees will learn how to run non-native docker containers on their systems.
Similar to Building robust and friendly command line applications in go (20)
Recently the interest in concurrent programming has grown dramatically. Unfortunately, parallel programs do not always have reproducible behavior. Even when they are run with the same inputs, their results can be radically different. In this talk I’ll show how to debug concurrency programs in Go.
I’ll start from showing how you can debug your gorotines using delve and gdb debuggers. Then I’ll try to visualize goroutines using different scenarios, sometimes it helps to better understand how things work. Next part of the topic will be about dumping a goroutine stack trace of your application while it’s running and inspect what each goroutine is doing. And I’ll demonstrate how to debug leaking goroutines by tracing the process of how the scheduler runs goroutines on logical processors which are bound to a physical processor via the operating system thread that is attached.
As a bonus i’ll cover debugging tips on how to find deadlocks and how to avoid race conditions in your application.
Serverless is new trend in software development. It’s confusing many developers around the world. In this talk I’ll explain how to build not only crop images or select data from DynamoDB, but build real application, what kind of troubles are we should expect, how to make decision is your task fit into serverless architecture in Python or may be you should use, general approach. How fast serverless applications and more important how to scale it.
Serverless applications in Python sounds, strange isn’t? In this talk I’ll explain how to build not only crop images or select data from DynamoDB, but build real application, what kind of troubles are we should expect, how to make decision is your task fit into serverless architecture in Python or may be you should use, general approach. How fast serverless applications
written in Python, and more important how to scale it.
Serverless applications in Python sounds, strange isn’t? In this talk I’ll explain how to build not only crop images or select data from DynamoDB, but build real application, what kind of troubles are we should expect, how to make decision is your task fit into serverless architecture in Python or may be you should use, general approach. How fast serverless applications written in Python, and more important how to scale it.
Social phenomena is coming. We have lot’s of social applications that we are using every day, let’s say Facebook, twitter, Instagram. Lot’s of such kind apps based on social graph and graph theory. I would like to share my knowledge and expertise about how to work with graphs and build large social graph as engine for Social network using python and Graph databases. We'll compare SQL and NoSQL approaches for friends relationships.
What is the best full text search engine for Python?Andrii Soldatenko
Nowadays we can see lot’s of benchmarks and performance tests of different web frameworks and Python tools. Regarding to search engines, it’s difficult to find useful information especially benchmarks or comparing between different search engines. It’s difficult to manage what search engine you should select for instance, ElasticSearch, Postgres Full Text Search or may be Sphinx or Whoosh. You face a difficult choice, that’s why I am pleased to share with you my acquired experience and benchmarks and focus on how to compare full text search engines for Python.
Practical continuous quality gates for development processAndrii Soldatenko
There are a lot of books and publications about the continuous integration in the world. But in my experience it’s difficult to find information about how to open quality gates between automated tests and to continuous integration practice to in your current project. After reading several articles and even a couple of books you will understand how to work with it. But what next? I will share with you practical tips and tricks on how to lift iron curtain to your automated tests before a continuous quality practice today. It is for this reason why I am pleased to share with you my acquired experience in my presentation.
We live in changeable world, and our applications are also very inconstant. As a result we have to know how to improve project quality. The subject of my presentation is related to the modern approaches of designing and implementing automated functional tests, by using, for instance, design patterns, improving test execution time based parallel execution, scaling by distributing tests on several machines, creating strategy for generation of big sets of test data and setup skeleton for organizing tests for typical Django project. I am pleased to share with you my acquired experience in this field.
“Time is at once the most valuable and the most perishable of all our possessions”. Correspondingly we must know how to improve a quality of the project in the limitted timeframes. The goal of my presentation is improving an execution time of automated functional tests based on Selenium Webdriver, by using, for instance, parallel execution, scaling by distributing tests on several machines, creating strategy for generation of big sets of test data for typical project. I am pleased to share with you my acquired experience in this field.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
9. Usage: docker [OPTIONS] COMMAND
A self-sufficient runtime for containers
Options:
--config string Location of client config files (default "/Users/andrii/.docker")
-D, --debug Enable debug mode
-H, --host list Daemon socket(s) to connect to
...
--tlsverify Use TLS and verify the remote
-v, --version Print version information and quit
Management Commands:
checkpoint Manage checkpoints
config Manage Docker configs
container Manage containers
image Manage images
network Manage networks
...
system Manage Docker
trust Manage trust on Docker images
volume Manage volumes
Commands:
attach Attach local standard input, output, and error streams to a running container
build Build an image from a Dockerfile
commit Create a new image from a container's changes
cp Copy files/folders between a container and the local filesystem
create Create a new container
deploy Deploy a new stack or update an existing stack
diff Inspect changes to files or directories on a container's filesystem
events Get real time events from the server
...
inspect Return low-level information on Docker objects
kill Kill one or more running containers
16. func main() {
var la = flag.String("la", "1 flag", "1 flag in golang.")
flag.Parse()
fmt.Println(*la)
}
➜ golang_for_two ./ls -la
flag needs an argument: -la
Usage of ./ls:
-la string
1 flag in golang. (default "1 flag")
28. Task oriented in practise:
helm3 example of purge default flags
`helm delete --purge` is used
more often than not, so I suggest we
should make it the default convention for
Helm 3.
helm/helm/pull/5283
🔀
34. Examples:
var listExample = `
List of youtube videos you would like to print:
$ youtube list <playlist-id>
`
func newListCmd(out io.Writer) *cobra.Command {
cmd := &cobra.Command{
Use: "list",
Short: "list top youtube videos.",
Long: "list top youtube videos.",
Example: listExample ,
}
return cmd
}
35. $ ./ytop list -h
list top youtube videos.
Usage:
ytop list [flags]
Examples:
# List of youtube videos you would like to
print:
$ youtube list <playlist-id>
Flags:
-h, --help help for list
36. Ship your CLI tool to
multiply OS:
🐳
https://raw.githubusercontent.com/YOU/YOURAPP/master/godownloader.sh
🏗
38. Aliases tl;dr:
type Command struct {
// Use is the one-line usage message.
Use string
// Aliases is an array of aliases that can be used instead of the first word in Use.
Aliases []string
$ ytop list --help
Usage:
ytop list [flags]
Aliases:
list, ls, l
39. Default to human output:
VIDEO ID LIKE COUNT TITLE
g8BD-0rIRN4 1232 Ricardo Jimenez - Quicksilver How Cloudflare …
op14_lAifQ4 597 Joan López de la Franca Beltran - From Chaos to …
KEUmOomnEqc 435 Roberto Clapis - Tackling Contention: The Monsters…
KUC5WtbBdFA 97 Johan Brandhorst - Writing REST Services for the ..
43. References:
📹 justforfunc #5: Defining a Color Flag in Go
📹 justforfunc #32: CLI tools with Cobra
📹 GopherCon 2019: Carolyn Van Slyck - Design
Command-Line Tools People Love
📖 The Go Programming Language by Alan A. A.
Donovan, Brian W. Kernighan
📖 Go in Practice by Matt Butcher, Matt Farina