Я поделюсь с вами опытом разработки конвейерных скриптов Jenkins для организации процессов непрерывной интеграции и развертывания микросервисов. Акцент будет сделан на применении средств Jenkins для разделяемых библиотек. Я продемонстрирую подходы к созданию модульных, тестируемых и повторно используемых компонентов для сборки и развертывания. Доклад будет полезен каждому, кто так или иначе связан с автоматизацией непрерывной интеграции и развертывания ПО, будь то разработчик или же DevOps
Jenkins до сих пор один из лидеров CI/CD продуктов. Поэтому стоит понимать, что он может и как этим правильно пользоваться. К тому же, этот проект всё ещё обновляется и нам желательно следить за новыми возможностями, которые он нам даёт.
В этот раз мы поговорим:
– о Jenkins pipelines and shared libraries
– какими они бывают, как и когда их надо использовать,.
– отличиях scripted и declarative вариантов.
– когда необходимо использовать shared library
– как легко настроить и начать пользоваться Jenkins в Kubernetes с использованием Jenkins configuration as code.
Доклад будет актуален для: DevOps engineers, Configuration managers, Developers who are tired of their jobs and they decided to make some Jenkins)
О спикере: Дмитрий Кулешов – DevOps Engineer с 10-летним опытом работы в области информационных технологий.
Prometheus: infrastructure and application monitoring in kubernetes clusterLohika_Odessa_TechTalks
Доклад будет интересен тем, кто хочет воспользоваться одним из самых популярных инструментов для мониторинга с минимальными затратами времени и усилий, и без предыдущего опыта внедрения систем мониторинга . Мы рассмотрим конкретный случай внедрения на проекте "с нуля", расширение базового функционала и обсудим возможные "подводные камни" дальнейшей поддержки
In this meetup, Liran Cohen, Cloud platform & DevOps Team Leader, will talk about some of Kubernetes key concepts. We will learn about the architecture of the system; the different resources available in the system; the problems it’s trying to solve, and the model that it uses to manage containerized application deployments.
Online Meetup: Why should container system / platform builders care about con...Docker, Inc.
Docker and the CNCF recently announced the general availability of containerd 1.0, an industry-standard runtime for building container solutions. The containerd 1.0 milestone comes after several months of alpha and beta releases, that allowed the team to implement various performance improvements: creation of a stress testing system, improvements in garbage collection and shim memory usage, etc. In this online meetup, we look at how containerd works, what are the top features and improvements and how can container system builders integrate with containerd.
Continuous delivery model sounds great to almost everyone, but is not that easy to implement when real life comes into play. On the one hand, AEM architecture feels like a good fit for this strategy (everything is content after all, right?), but on the other hand we all know how challenging even individual deployment can get. Content management system itself is often just a fraction of your concern - you have to build it first, test it, stitch all the elements up and then figure out how to deliver your code in a repeatable and controlled way to production.
Throughout the last couple of years we’ve been trying really hard at Cognifide to make continuous release and delivery possible for AEM. It was a bumpy and twisty road, but we finally made it. During my talk I’d like to show you how we build AEM platforms these days using open source tools, including:
- Terraform to define and manage infrastructure as code
- Chef to describe deployments in an approachable way, which enforces consistency & repeatability across environments
- Consul that helps us discover services around and mitigate failures
- Jenkins & GoCD to orchestrate delivery model
Pragmatic Monolith-First, easy to decompose, clean architecturePiotr Pelczar
Designing systems architecture corresponding to business needs in long future is like a reading tea leaves. There is no common way to design systems. Making decision to start project with microservices may make refactoring much harder and introduce too much complexity in the infrastructure layer and finally slow down development. However maintaining a monolith is a tough nut to crack.
Let’s see how to build a system starting from well organized monolith with well marked technical and business scopes that enables to make a decision in with way it should be decomposed and how to deliver it. Strategic and tactical techniques from Domain-Driven Design and Hexagonal Architecture will be used. I will show you how to monitor accidential complexity using different tools during CI.
I invite you if you are interested in building systems with complex business domains.
Jenkins до сих пор один из лидеров CI/CD продуктов. Поэтому стоит понимать, что он может и как этим правильно пользоваться. К тому же, этот проект всё ещё обновляется и нам желательно следить за новыми возможностями, которые он нам даёт.
В этот раз мы поговорим:
– о Jenkins pipelines and shared libraries
– какими они бывают, как и когда их надо использовать,.
– отличиях scripted и declarative вариантов.
– когда необходимо использовать shared library
– как легко настроить и начать пользоваться Jenkins в Kubernetes с использованием Jenkins configuration as code.
Доклад будет актуален для: DevOps engineers, Configuration managers, Developers who are tired of their jobs and they decided to make some Jenkins)
О спикере: Дмитрий Кулешов – DevOps Engineer с 10-летним опытом работы в области информационных технологий.
Prometheus: infrastructure and application monitoring in kubernetes clusterLohika_Odessa_TechTalks
Доклад будет интересен тем, кто хочет воспользоваться одним из самых популярных инструментов для мониторинга с минимальными затратами времени и усилий, и без предыдущего опыта внедрения систем мониторинга . Мы рассмотрим конкретный случай внедрения на проекте "с нуля", расширение базового функционала и обсудим возможные "подводные камни" дальнейшей поддержки
In this meetup, Liran Cohen, Cloud platform & DevOps Team Leader, will talk about some of Kubernetes key concepts. We will learn about the architecture of the system; the different resources available in the system; the problems it’s trying to solve, and the model that it uses to manage containerized application deployments.
Online Meetup: Why should container system / platform builders care about con...Docker, Inc.
Docker and the CNCF recently announced the general availability of containerd 1.0, an industry-standard runtime for building container solutions. The containerd 1.0 milestone comes after several months of alpha and beta releases, that allowed the team to implement various performance improvements: creation of a stress testing system, improvements in garbage collection and shim memory usage, etc. In this online meetup, we look at how containerd works, what are the top features and improvements and how can container system builders integrate with containerd.
Continuous delivery model sounds great to almost everyone, but is not that easy to implement when real life comes into play. On the one hand, AEM architecture feels like a good fit for this strategy (everything is content after all, right?), but on the other hand we all know how challenging even individual deployment can get. Content management system itself is often just a fraction of your concern - you have to build it first, test it, stitch all the elements up and then figure out how to deliver your code in a repeatable and controlled way to production.
Throughout the last couple of years we’ve been trying really hard at Cognifide to make continuous release and delivery possible for AEM. It was a bumpy and twisty road, but we finally made it. During my talk I’d like to show you how we build AEM platforms these days using open source tools, including:
- Terraform to define and manage infrastructure as code
- Chef to describe deployments in an approachable way, which enforces consistency & repeatability across environments
- Consul that helps us discover services around and mitigate failures
- Jenkins & GoCD to orchestrate delivery model
Pragmatic Monolith-First, easy to decompose, clean architecturePiotr Pelczar
Designing systems architecture corresponding to business needs in long future is like a reading tea leaves. There is no common way to design systems. Making decision to start project with microservices may make refactoring much harder and introduce too much complexity in the infrastructure layer and finally slow down development. However maintaining a monolith is a tough nut to crack.
Let’s see how to build a system starting from well organized monolith with well marked technical and business scopes that enables to make a decision in with way it should be decomposed and how to deliver it. Strategic and tactical techniques from Domain-Driven Design and Hexagonal Architecture will be used. I will show you how to monitor accidential complexity using different tools during CI.
I invite you if you are interested in building systems with complex business domains.
Monitoring Containers at New Relic by Sean Kane Docker, Inc.
New Relic went all-in with Docker very early, and has continued to stay on the forefront of the container ecosystem, both as a user of the technology and as a monitoring and analytics vendor. Today, a variety of teams utilize Docker in a variety of ways using a mix of home-grown and external OSS frameworks. The Container Fabric team is working on our next generation container platform utilizing Mesos/Marathon and a variety of other OSS tools, like Heka. We will briefly review our setup, and then discuss how we gather data that we care about from the ecosystem and inject it into the various tools we rely on for visibility and analytics. We love the functionality of what we’ve built, and we believe that you will find it useful too.
Pipeline as code - new feature in Jenkins 2Michal Ziarnik
What is pipeline as code in continuous delivery/continuous deployment environment.
How to set up Multibranch pipeline to fully benefit from pipeline features.
Jenkins master-node concept in Kubernetes cluster.
Dockerizing Windows Server Applications by Ender Barillas and Taylor BrownDocker, Inc.
A session covering the container workflow from the developers inner loop, CI/CD, to deployment in a container orchestration solution. We'll cover Visual Studio Code from a Mac, Visual Studio Code from Windows with Bash and Visual Studio as an in-container local development environment targeting both Windows and Linux Containers. We'll walk through CI, Validation and CD to the Azure Container Service running Docker Swarm as one example of how you can convert your existing config as code and VM deployments to the containerized workflows startups and early adopter enterprises are using today.
An introduction to using Docker Engine. We'll containerize a very simple web application and then talk about some easy ways to try out Docker Engine in your own way.
Container Orchestration from Theory to PracticeDocker, Inc.
Join Laura Frank and Stephen Day as they explain and examine technical concepts behind container orchestration systems, like distributed consensus, object models, and node topology. These concepts build the foundation of every modern orchestration system, and each technical explanation will be illustrated using Docker’s SwarmKit as a real-world example. Gain a deeper understanding of how orchestration systems like SwarmKit work in practice and walk away with more insights into your production applications.
Scala, docker and testing, oh my! mario camouJ On The Beach
Testing is important for any system you write and at eBay it is no different. We have a number of complex Scala and Akka based applications with a large number of external dependencies. One of the challenges of testing this kind of application is replicating the complete system across all your environments: development, different flavors of testing (unit, functional, integration, capacity and acceptance) and production. This is especially true in the case of integration and capacity testing where there are a multitude of ways to manage system complexity. Wouldn’t it be nice to define the testing system architecture in one place that we can reuse in all our tests? It turns out we can do exactly that using Docker. In this talk, we will first look at how to take advantage of Docker for integration testing your Scala application. After that we will explore how this has helped us reduce the duration and complexity of our tests.
ocker is quickly becoming an invaluable development and deployment tool for many organizations. Come and spend the day learning about what Docker is and how to use it. Discover how to integrate it into your workflow and build an environment that works for you and your team. This hands-on training will give you the kick-start needed to begin using Docker effectively.
Scaling Development Environments with DockerDocker, Inc.
We set out to solve the problems of quickly building high quality games for a fragmented mobile market. Taking advantage of HTML5 allowed a fast, familiar and highly iterative local development process, and a hybrid build process for native apps meant high performance games on mobile. Our product is designed to comprehensively handle complex UI flows, related server tasks as well as deep integrations with any social platform. This is necessarily complex piece of engineering, with dozens of large dependencies, and 5 local web servers powering a single user’s experience. When we set out to make this easily available to 3rd parties, we used Docker to solve to major challenges: 1) Fitting many users, each with a unique development environment, on to one machine; 2) Managing all of these development environments in a scalable way.
Observability in a Dynamically Scheduled WorldSneha Inguva
The industry is moving toward a microservices architecture, and many companies have embraced container orchestration solutions such as Kubernetes. DigitalOcean is no different. Over the past year, DigitalOcean’s Delivery team has been building a runtime platform based on Kubernetes with the goal of making shipping code easier. The system has empowered service owners to quickly and efficiently deploy and update their applications. A vital component is a white box monitoring and alerting solution based on Prometheus and Alertmanager.
Sneha Inguva offers an overview of the system and shares problems encountered, potential solutions, and key lessons learned in the process. Sneha dives into the setup of Prometheus and Alertmanager that allows service owners to instrument their own metrics and alerts, explaining the service owner’s point of view and the internals that allow for the dynamic addition of alerts, and offers a glimpse of future modifications to the system. Join in to learn how to leverage open source tools for your monitoring and alerting needs.
Monitoring, Logging and Tracing on KubernetesMartin Etmajer
In this presentation, I'll describe a variety of tools, like the Kubernetes Dashboard, Heapster, Grafana, Fluentd, Elasticsearch, Kibana, Jolokia and OpenTracing to bring Monitoring, Logging and Tracing to the Kubernetes container platform.
A step-by-step guide to deploying your first Hello World chaincode onto Hyperledger Fabric.
These slides were created by James Bowkett, Principal Consultant at Excelian.
Monitoring Containers at New Relic by Sean Kane Docker, Inc.
New Relic went all-in with Docker very early, and has continued to stay on the forefront of the container ecosystem, both as a user of the technology and as a monitoring and analytics vendor. Today, a variety of teams utilize Docker in a variety of ways using a mix of home-grown and external OSS frameworks. The Container Fabric team is working on our next generation container platform utilizing Mesos/Marathon and a variety of other OSS tools, like Heka. We will briefly review our setup, and then discuss how we gather data that we care about from the ecosystem and inject it into the various tools we rely on for visibility and analytics. We love the functionality of what we’ve built, and we believe that you will find it useful too.
Pipeline as code - new feature in Jenkins 2Michal Ziarnik
What is pipeline as code in continuous delivery/continuous deployment environment.
How to set up Multibranch pipeline to fully benefit from pipeline features.
Jenkins master-node concept in Kubernetes cluster.
Dockerizing Windows Server Applications by Ender Barillas and Taylor BrownDocker, Inc.
A session covering the container workflow from the developers inner loop, CI/CD, to deployment in a container orchestration solution. We'll cover Visual Studio Code from a Mac, Visual Studio Code from Windows with Bash and Visual Studio as an in-container local development environment targeting both Windows and Linux Containers. We'll walk through CI, Validation and CD to the Azure Container Service running Docker Swarm as one example of how you can convert your existing config as code and VM deployments to the containerized workflows startups and early adopter enterprises are using today.
An introduction to using Docker Engine. We'll containerize a very simple web application and then talk about some easy ways to try out Docker Engine in your own way.
Container Orchestration from Theory to PracticeDocker, Inc.
Join Laura Frank and Stephen Day as they explain and examine technical concepts behind container orchestration systems, like distributed consensus, object models, and node topology. These concepts build the foundation of every modern orchestration system, and each technical explanation will be illustrated using Docker’s SwarmKit as a real-world example. Gain a deeper understanding of how orchestration systems like SwarmKit work in practice and walk away with more insights into your production applications.
Scala, docker and testing, oh my! mario camouJ On The Beach
Testing is important for any system you write and at eBay it is no different. We have a number of complex Scala and Akka based applications with a large number of external dependencies. One of the challenges of testing this kind of application is replicating the complete system across all your environments: development, different flavors of testing (unit, functional, integration, capacity and acceptance) and production. This is especially true in the case of integration and capacity testing where there are a multitude of ways to manage system complexity. Wouldn’t it be nice to define the testing system architecture in one place that we can reuse in all our tests? It turns out we can do exactly that using Docker. In this talk, we will first look at how to take advantage of Docker for integration testing your Scala application. After that we will explore how this has helped us reduce the duration and complexity of our tests.
ocker is quickly becoming an invaluable development and deployment tool for many organizations. Come and spend the day learning about what Docker is and how to use it. Discover how to integrate it into your workflow and build an environment that works for you and your team. This hands-on training will give you the kick-start needed to begin using Docker effectively.
Scaling Development Environments with DockerDocker, Inc.
We set out to solve the problems of quickly building high quality games for a fragmented mobile market. Taking advantage of HTML5 allowed a fast, familiar and highly iterative local development process, and a hybrid build process for native apps meant high performance games on mobile. Our product is designed to comprehensively handle complex UI flows, related server tasks as well as deep integrations with any social platform. This is necessarily complex piece of engineering, with dozens of large dependencies, and 5 local web servers powering a single user’s experience. When we set out to make this easily available to 3rd parties, we used Docker to solve to major challenges: 1) Fitting many users, each with a unique development environment, on to one machine; 2) Managing all of these development environments in a scalable way.
Observability in a Dynamically Scheduled WorldSneha Inguva
The industry is moving toward a microservices architecture, and many companies have embraced container orchestration solutions such as Kubernetes. DigitalOcean is no different. Over the past year, DigitalOcean’s Delivery team has been building a runtime platform based on Kubernetes with the goal of making shipping code easier. The system has empowered service owners to quickly and efficiently deploy and update their applications. A vital component is a white box monitoring and alerting solution based on Prometheus and Alertmanager.
Sneha Inguva offers an overview of the system and shares problems encountered, potential solutions, and key lessons learned in the process. Sneha dives into the setup of Prometheus and Alertmanager that allows service owners to instrument their own metrics and alerts, explaining the service owner’s point of view and the internals that allow for the dynamic addition of alerts, and offers a glimpse of future modifications to the system. Join in to learn how to leverage open source tools for your monitoring and alerting needs.
Monitoring, Logging and Tracing on KubernetesMartin Etmajer
In this presentation, I'll describe a variety of tools, like the Kubernetes Dashboard, Heapster, Grafana, Fluentd, Elasticsearch, Kibana, Jolokia and OpenTracing to bring Monitoring, Logging and Tracing to the Kubernetes container platform.
A step-by-step guide to deploying your first Hello World chaincode onto Hyperledger Fabric.
These slides were created by James Bowkett, Principal Consultant at Excelian.
Atlanta Jenkins Area Meetup October 22nd 2015Kurt Madel
Jenkins Workflow is a game changing way to write automation jobs with Jenkins. Workflows can support simple, one-step hello-world type jobs to the most complex, parallel pipelines. Best of all, they support manual/automated intervention (eg: approvals) and also workflows survive Jenkins master restarts. Combining Jenkins Workflow with Docker can seriously reduce friction in your DevOps efforts. Come learn how.
Integration testing is hard, and often teams are tempted to do it in production. Testcontainers allows writing meaningful integration tests spawning Docker containers for databases, queue systems, kv-store, other services. The talk, a blend of slides and live code, will show how we are able to deploy without fear while integrating with a dozen of different datastores. Don't mock your database with fake data anymore, work with real data
The Fairy Tale of the One Command Build ScriptDocker, Inc.
Do you have this build script that with a single command builds your software? Does this still apply on a brand new PC?
This presentation takes you on the journey to construct complex build environments using Docker. The journey follows our lessons learned and experiences going from hand crafted to Dockerized build environments. We will look at different patterns to build modular containers, ways to chain containers and the specialties of Windows containers.
Kubernetes Basis: Pods, Deployments, and ServicesJian-Kai Wang
Kubernetes is a container management platform and empowers the scalability to the container. In this repository, we address the issues of how to use Kubernetes with real cases. We start from the basic objects in Kubernetes, Pods, deployments, and Services. This repository is also a tutorial for those with advanced containerization skills trying to step into the Kubernetes. We also provide several YAML examples for those looking for quickly deploying services. Please enjoy it and let's start the journey to Kubernetes.
Architecting .NET solutions in a Docker ecosystem - .NET Fest Kyiv 2019Alex Thissen
Conference: .NET Fest 2019
Location: Kyiv, Ukraine
Abstract: You must have noticed how Docker and containers is playing a more and more important part in .NET development. Docker support is everywhere, so it should be easy to build solutions based on container technology, right? But, it takes a bit more to architect and create a .NET solution that use Docker at its core. Many questions arise: How do you design a solution architecture that fits well with containers? Would I use .NET or .NET Core? What is a proper way to migrate to such an architecture? What changes in the .NET implementation from pre-Docker solutions with micro-services? Where do container orchestrators fit in and how do I build and deploy my solutions on a Docker container cluster, such as Azure Kubernetes Service?
These and many other questions will be answered in this session. You will learn how to design and architect your .NET solutions and get a flying start to create, build and run Docker-based containerized applications.
Similar to Jenkins' shared libraries in action (20)
Debugging Microservices - key challenges and techniques - Microservices Odesa...Lohika_Odessa_TechTalks
Microservice architecture is widespread our days. It comes with a lot of benefits and challenges to solve. Main goal of this talk is to go through troubleshooting and debugging in the distributed micro-service world. Topic would cover:
main aspects of the logging,
monitoring,
distributed tracing,
debugging services on the cluster.
About speaker:
Andrеy Kolodnitskiy is Staff engineer in the Lohika and his primary focus is around distributed systems, microservices and JVM based languages.
Majority of time engineers spend debugging and fixing the issues. This talk will be dedicated to best practicies and tools Andrеys team uses on its project which do help to find issues more efficiently.
Wide adoption of Microservice Architecture presents a whole new set of challenges for us as developers. Some of them are well-known and understood. About others we do not think until they strike us out of the blue and we spend a lot of sleepless nights trying to figure them out. And communication between services in distributed system is one of the latter.
During this Microservice Architecture Odesa #TechTalk we will talk about how to prevent your microservices from becoming a modern-world Tower of Babel. We will discuss how to select appropriate communication mechanisms for most common cases in a distributed system, how should we define API contracts for each of them and what tools are available for us to keep them consistent and evolve them over time.
We will touch following topics:
REST vs RPC vs Messaging and how not to get lost with your options.
Contract First development and how it can save time in multi-team environment.
SwaggerHub as a single Point of truth for REST API
Best practices for gRPC contracts and how to deal with changes in them.
About speaker:
Andrii Barsukov is Senior .NET developer at Lohika, with 5+ years of commercial experience in development of microservice applications. Currently participating in development of microservice-based financial system, which includes 20+ microservices developed by 10 separate development teams. And some of the challenges that we faced during its development I'd like to share.
На JavaScript Odesa #TechTalks мы поговорили о микрофронтендах как о современном архитектурном стиле проектирования для фронтенд разработки, который облегчает поддержку и деплой обновлений для крупных проектов.
Также мы обсудили:
Что такое микрофронтенды?
Как использовать их с старым проектом?
Монорепа vs мультирепа и почему?
О спикере:
Максим Белкин, Senior Software Engineer с 10-летним опытом коммерческой разработки веб-приложений. У Максима большой опыт в создании одностраничных приложений с использованием современных фреймворков и инструментов, а также большой опыт в области серверной разработки и создания REST API. Он также обладает глубокими знаниями в области объектно-ориентированной разработки, алгоритмов, кодирования и шаблонов тестирования и имеет опыт в гибкой разработке программного обеспечения, включая роли SCRUM Master и Team Lead.
There are a lot of things in multi-threading world, which we, as engineers, have to consider while developing applications. During Golang Odesa #TechTalks we will talk about three main problems – data races, race conditions, and deadlocks. Also, we will discuss how to avoid fantom bugs and do not shoot yourself in the foot while developing Golang applications
About speaker:
Oleksandr Karlov is Golang Team Lead at Lohika. Currently, Oleksandr is working on SLO project, which helps engineers to control reliability of their services. Before that he worked on CDN and statistics platform.
Druid is one useful and popular tool in the Big Data world. It is this OLAP system that allows you to efficiently process, store and query data. Which confirms the demand for Druid among tools in the Big Data processing environment.
With Vladimir Iordanov we will talk about how Druid works, what it consists of and what its capabilities are. Vladimir will introduce us to the Druid components, talk about the cluster architecture, how data processing is going on.
Тема доклада «React и его архитектурная периферия»
React - мощнейшая библиотека для создания технических интерфейсов, но порой одного реакта не достаточно для полноценной и гибкой разработки. Мы будем обсуждать и сравнивать разные подходы для разработки современных React приложений.
В программе: React&Redux, React&Meteor, React&Relay, React&MobX, React&PRPL
Congratulations, you have been promoted to a manager role. You`ve got new pro...Lohika_Odessa_TechTalks
“In my presentation I’ll try to list the first steps that you should make on a new project in your new role. Also we will review different types of projects and challenges that you may have. I hope that my experience and suggestions, I’m about to share, will help you dive into management role quickly and painlessly. “
This presentation will be useful for everyone who wants to be a manager, to grow in this direction and who is absolutely sure that one day he or she will be promoted. It might be useful for everyone who has been promoted recently and still feels that he/she doesn’t have enough experience with different projects.
"Don't touch me and give me my money" or how motivate people who can but don...Lohika_Odessa_TechTalks
“The core of every successful project is motivated and professional team, but what can be done when the comfort zone has been reached and nothing makes your team work with the same enthusiasm? In this session, we would like to discuss with you the cause of the syndrome "weary professional“ , why it is bad and which non-standard approaches can be used for solving this problem.
Presentation will be particularly useful for those who are somehow connected with the management staff or aspire to be Team Leaders.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
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.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
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.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
5. ● Script publishes service’s image ~300 lines
● Script deploys service ~250 lines
● Each service main script ~100 lines
● Inlined shell complex scripts
● Many parameters ~30
● Change script for each service
Problems
6. ● Is an automated expression of your process for
getting software from version control to your
customers
● Declarative
● Scripted
Jenkins Pipeline
7. ● Is a text file that contains the definition of a
Jenkins Pipeline and is checked into source
control
● Self-documented, versioned
● Single definition of build steps
● Make pipeline extendable
Jenkinsfile
21. 1. Create new Git repository
2. Create file vars/dotnetTemplate.groovy
3. Add repository reference as pipeline library
a. Set it “Load implicitly”
4. Modify pipeline script
Do following
30. properties([
parameters([
string(name: 'REPOSITORY', defaultValue: 'edyablo/demo-dotnet', description: 'Name
choice(name: 'CONFIGURATION', defaultValue: 'Debug', choices: ['Debug', 'Release']
])
])
dotnetTemplate(podLabel) {
node(podLabel) {
stage('checkout') {
git url: "https://github.com/${params.REPOSITORY}.git"
}
stage('test') {
container('dotnet') {
sh """
projects=`find . -regex '.*.Test.csproj'`
for project in $projects
do
dotnet test $project --configuration ${params.CONFIGURATION}
done
"""
}
More complex shell script
31. projects=`find . -regex '.*.Test.csproj'`
for project in $projects
do
dotnet test $project --configuration $CONFIGURATION
done
resources / dotnet-test.sh
35. ● Script’s overgrowth Use vars
● Complex shell scripts Use resources
● Escape character Use resources
● Code duplication Use vars,
resources, classes
● Parameters Use classes
Solution Use
shared library