Docker is revolutionizing the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed micro-services architectures. Kubernetes is an open source project to manage a cluster of Linux containers as a single system, managing and running Docker containers across multiple Docker hosts, offering co-location of containers, service discovery and replication control. It was started by Google and now it is supported by Microsoft, RedHat, IBM and Docker Inc amongst others. Jenkins Continuous Integration environment can be dynamically scaled by using the Kubernetes and Docker plugins, using containers to run slaves and jobs, and also isolate job execution.
Scaling Jenkins with Docker and KubernetesCarlos Sanchez
Docker is revolutionizing the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed micro-services architectures. Kubernetes is an open source project to manage a cluster of Linux containers as a single system, managing and running Docker containers across multiple Docker hosts, offering co-location of containers, service discovery and replication control. It was started by Google and now it is supported by Microsoft, RedHat, IBM and Docker Inc amongst others. Jenkins Continuous Integration environment can be dynamically scaled by using the Kubernetes and Docker plugins, using containers to run slaves and jobs, and also isolate job execution.
From Monolith to Docker Distributed Applications. JavaOneCarlos Sanchez
Docker is revolutionizing the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed microservice architectures. But migrating an existing Java application to a distributed microservice architecture is no easy task, requiring a shift in the software development, networking, and storage to accommodate the new architecture. This presentation provides insights into the experience of the speaker and his colleagues in creating a Jenkins platform based on distributed Docker containers running on Apache Mesos and Marathon and applicable to all types of applications, especially Java- and JVM-based ones.
CI and CD at Scale: Scaling Jenkins with Docker and Apache MesosCarlos Sanchez
In this presentation Carlos Sanchez will share his experience running Jenkins at scale, using Docker and Apache Mesos to create one of the biggest (if not the biggest) Jenkins clusters to date.
By taking advantage of Apache Mesos, the Jenkins platform is dynamically scaled to run jobs across hundreds of Jenkins masters, on Docker containers distributed across the Mesos cluster. Jenkins slaves are dynamically created based on load, using the Jenkins Mesos and Docker plugins, running in containers distributed across multiple hosts, and isolating job execution.
This presentation will allow a better understanding of Apache Mesos and the challenges of running Docker containerized and distributed applications, particularly JVM ones, by sharing a real world use case, including good and bad decisions and how they affected the development.
Continuous Deployment with Jenkins on KubernetesMatt Baldwin
Google Senior Software Engineer Evan Brown's presentation from the March 18, 2016 Seattle Kubernetes meetup hosted by StackPointCloud. Evan shows how you deploy Jenkins into Kubernetes, then takes us through CD and canary deployments. Join us in Seattle: http://www.meetup.com/Seattle-Kubernetes-Meetup/
Using Containers for Building and Testing: Docker, Kubernetes and Mesos. FOSD...Carlos Sanchez
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but running in just one machine is not enough and quickly needs to scale to a clustered setup. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? how do they compare? All of them can be used to dynamically run a cluster of containers.
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but running in just one machine is not enough and quickly needs to scale to a clustered setup. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? how do they compare? All of them can be used to dynamically run a cluster of containers.
The Jenkins platform is an example of dynamically scaling by using several Docker cluster and orchestration platforms, using containers to run build agents and jobs, and also isolate job execution.
This talk will cover these main container clusters, outlining the pros and cons, the current state of the art of the technologies and Jenkins support.
The presentation will allow a better understanding of using Docker in the main Docker cluster/orchestration platforms out there (Docker Swarm, Apache Mesos, Kubernetes), sharing my experience and helping people decide which one to use, going through Jenkins examples and current support.
XP Days Ukraine 2015 Talk http://xpdays.com.ua/programs/scaling-docker-with-kubernetes/
Kubernetes is an open source project to manage a cluster of Linux containers as a single system, managing and running Docker containers across multiple Docker hosts, offering co-location of containers, service discovery and replication control. It was started by Google and now it is supported by Microsoft, RedHat, IBM and Docker Inc amongst others.
Once you are using Docker containers the next question is how to scale and start containers across multiple Docker hosts, balancing the containers across them. Kubernetes also adds a higher level API to define how containers are logically grouped, allowing to define pools of containers, load balancing and affinity.
Scaling Jenkins with Docker: Swarm, Kubernetes or Mesos?Carlos Sanchez
The Jenkins platform can be dynamically scaled by using several Docker cluster and orchestration platforms, using containers to run slaves and jobs and also isolating job execution. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? How do they compare? All of them can be used to dynamically run jobs inside containers. This talk will cover these main container clusters, outlining the pros and cons of each, the current state of the art of the technologies and Jenkins support.
Scaling Jenkins with Docker and KubernetesCarlos Sanchez
Docker is revolutionizing the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed micro-services architectures. Kubernetes is an open source project to manage a cluster of Linux containers as a single system, managing and running Docker containers across multiple Docker hosts, offering co-location of containers, service discovery and replication control. It was started by Google and now it is supported by Microsoft, RedHat, IBM and Docker Inc amongst others. Jenkins Continuous Integration environment can be dynamically scaled by using the Kubernetes and Docker plugins, using containers to run slaves and jobs, and also isolate job execution.
From Monolith to Docker Distributed Applications. JavaOneCarlos Sanchez
Docker is revolutionizing the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed microservice architectures. But migrating an existing Java application to a distributed microservice architecture is no easy task, requiring a shift in the software development, networking, and storage to accommodate the new architecture. This presentation provides insights into the experience of the speaker and his colleagues in creating a Jenkins platform based on distributed Docker containers running on Apache Mesos and Marathon and applicable to all types of applications, especially Java- and JVM-based ones.
CI and CD at Scale: Scaling Jenkins with Docker and Apache MesosCarlos Sanchez
In this presentation Carlos Sanchez will share his experience running Jenkins at scale, using Docker and Apache Mesos to create one of the biggest (if not the biggest) Jenkins clusters to date.
By taking advantage of Apache Mesos, the Jenkins platform is dynamically scaled to run jobs across hundreds of Jenkins masters, on Docker containers distributed across the Mesos cluster. Jenkins slaves are dynamically created based on load, using the Jenkins Mesos and Docker plugins, running in containers distributed across multiple hosts, and isolating job execution.
This presentation will allow a better understanding of Apache Mesos and the challenges of running Docker containerized and distributed applications, particularly JVM ones, by sharing a real world use case, including good and bad decisions and how they affected the development.
Continuous Deployment with Jenkins on KubernetesMatt Baldwin
Google Senior Software Engineer Evan Brown's presentation from the March 18, 2016 Seattle Kubernetes meetup hosted by StackPointCloud. Evan shows how you deploy Jenkins into Kubernetes, then takes us through CD and canary deployments. Join us in Seattle: http://www.meetup.com/Seattle-Kubernetes-Meetup/
Using Containers for Building and Testing: Docker, Kubernetes and Mesos. FOSD...Carlos Sanchez
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but running in just one machine is not enough and quickly needs to scale to a clustered setup. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? how do they compare? All of them can be used to dynamically run a cluster of containers.
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but running in just one machine is not enough and quickly needs to scale to a clustered setup. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? how do they compare? All of them can be used to dynamically run a cluster of containers.
The Jenkins platform is an example of dynamically scaling by using several Docker cluster and orchestration platforms, using containers to run build agents and jobs, and also isolate job execution.
This talk will cover these main container clusters, outlining the pros and cons, the current state of the art of the technologies and Jenkins support.
The presentation will allow a better understanding of using Docker in the main Docker cluster/orchestration platforms out there (Docker Swarm, Apache Mesos, Kubernetes), sharing my experience and helping people decide which one to use, going through Jenkins examples and current support.
XP Days Ukraine 2015 Talk http://xpdays.com.ua/programs/scaling-docker-with-kubernetes/
Kubernetes is an open source project to manage a cluster of Linux containers as a single system, managing and running Docker containers across multiple Docker hosts, offering co-location of containers, service discovery and replication control. It was started by Google and now it is supported by Microsoft, RedHat, IBM and Docker Inc amongst others.
Once you are using Docker containers the next question is how to scale and start containers across multiple Docker hosts, balancing the containers across them. Kubernetes also adds a higher level API to define how containers are logically grouped, allowing to define pools of containers, load balancing and affinity.
Scaling Jenkins with Docker: Swarm, Kubernetes or Mesos?Carlos Sanchez
The Jenkins platform can be dynamically scaled by using several Docker cluster and orchestration platforms, using containers to run slaves and jobs and also isolating job execution. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? How do they compare? All of them can be used to dynamically run jobs inside containers. This talk will cover these main container clusters, outlining the pros and cons of each, the current state of the art of the technologies and Jenkins support.
Testing Distributed Micro Services. Agile Testing Days 2017Carlos Sanchez
Docker is revolutionizing the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed micro-services architectures.
Containers allow to run services in isolation with a minimum performance penalty, increased speed, easier configuration and less complexity, making it ideal for continuous integration and continuous delivery based workloads.
But testing a distributed micro-services architecture is no easy task, requiring a shift in mindset and tooling to accommodate the new architecture.
We will provide insight on our experience creating a Jenkins platform based on distributed Docker containers running on Apache Mesos and Marathon, applicable for all types of applications, but specially Java and JVM based ones.
Intro to Docker and clustering with Rancher from scratchJohn Culviner
John will fully explain what Docker is, why it is useful, how it works and most importantly discuss the pros and cons of it from real world production experience. We will then build out (from scratch) a clustered Docker environment using Rancher (machine setup done with Ansible) across multiple virtual machines in the cloud using Terraform learning tips, tricks and what is happening under the covers along the way.
Expect to leave the talk feeling confident about if Docker might make sense for your next project (or might not!) and how to get started easily if it looks like it is the right tool for the job for you.
Divide and Conquer: Easier Continuous Delivery using Micro-ServicesCarlos Sanchez
Docker has revolutionized the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed micro-services architectures.
Containers allow to run services in isolation with a minimum performance penalty, increased speed, easier configuration and less complexity, making it ideal for continuous integration and continuous delivery based workloads. But testing a distributed micro-services architecture is no easy task, requiring a shift in mindset and tooling to accommodate the new architecture.
We will provide insight on our experience creating a Jenkins platform based on distributed Docker containers running on Apache Mesos and Marathon, applicable for all types of applications, but specially Java and JVM based ones.
What’s New in Docker - Victor Vieux, DockerDocker, Inc.
It’s the first breakout after the keynote and you need to know more about all the latest and greatest Docker announcements. We've got you covered! In this session, Victor Vieux, will go deeper looking into what's new with Docker, demo the latest features and answer your questions.
Introduction to dockers and kubernetes. Learn how this helps you to build scalable and portable applications with cloud. It introduces the basic concepts of dockers, its differences with virtualization, then explain the need for orchestration and do some hands-on experiments with dockers
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 SwarmKit and Kubernetes as a real-world example. Gain a deeper understanding of how orchestration systems work in practice and walk away with more insights into your production applications."
DockerCon EU 2015: Shipping Manifests, Bill of Lading and Docker Metadata and...Docker, Inc.
Presented by Gareth Rushgrove, Sr. Software Engineer, Puppet Labs
The shipping container metaphor for Docker points to many of the advantages of building and running software using containers. But what about other essential parts of the shipping container ecosystem like the shipping manifest and bill of lading?
Many of the most powerful features of traditional package management tools like apt or yum are based on metadata associated with the packages. You can find out who created a package and when, check where a particular file came from, whether the package has a known vulnerability and more. What would this capability look like for Docker containers?
This talk will look at the power of metadata for containers, in particular:
* Docker provides labels for associating metadata with images and containers but how best to use them?* What problems can be solved by agreeing on standards for container metadata?* Exposing standard commands and endpoints to expose metadata about what is inside a container* Demo some open source toolings and also look at the sort of tools we might build atop those standards and low-level tools.
Amazon Web Services support Docker containers by Elastic Beanstalk service and with new Elastic Container Services. AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services. ECS is a highly scalable, high performance container management service that supports Docker.
I presented these slides during Docker Bangalore Meetup which happened on 23-Nov in DellEMC in Bangalore. These slides talks about the recent acquisition of Docker Enterprise by Mirantis and talks about what Docker is going to focus next on.
Kubernetes 101 - A Cluster Operating Systemmikaelbarbero
The popularity of the Kubernetes platform is continuously increasing... for good reasons! It's a wonderful modular platform made out of fundamentals orthogonal bricks used to defined even more useful bricks. It enables a DevOps friendly envrionnment where microservices and continously delivery feel at home.
If you have not yet dig into what is usually defined as a Cluster Operating System, it's time to catch-up! This thorough introduction to Kubernetes will cover:
* What is a Node and what is the difference between master node(s) and worker nodes.
* What is it like to run an application in Kubernetes
* What is a Pod and how it relates to containers
* How to organize resources with Labels and Namespaces
* How to scale your application with ReplicaSet
* How to expose your application to clients internal to your clusters and to external clients with Services
* What is a Volume and how it is used to attach persistent storage, configuration and secrets to pods
How to do zero downtime rolling update of your application with Deployments
Business Intelligence and Big Data Analytics with Pentaho Uday Kothari
This webinar gives an overview of the Pentaho technology stack and then delves deep into its features like ETL, Reporting, Dashboards, Analytics and Big Data. The webinar also facilitates a cross industry perspective and how Pentaho can be leveraged effectively for decision making. In the end, it also highlights how apart from strong technological features, low TCO is central to Pentaho’s value proposition. For BI technology enthusiasts, this webinar presents easiest ways to learn an end to end analytics tool. For those who are interested in developing a BI / Analytics toolset for their organization, this webinar presents an interesting option of leveraging low cost technology. For big data enthusiasts, this webinar presents overview of how Pentaho has come out as a leader in data integration space for Big data.
Pentaho is one of the leading niche players in Business Intelligence and Big Data Analytics. It offers a comprehensive, end-to-end open source platform for Data Integration and Business Analytics. Pentaho’s leading product: Pentaho Business Analytics is a data integration, BI and analytics platform composed of ETL, OLAP, reporting, interactive dashboards, ad hoc analysis, data mining and predictive analytics.
Testing Distributed Micro Services. Agile Testing Days 2017Carlos Sanchez
Docker is revolutionizing the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed micro-services architectures.
Containers allow to run services in isolation with a minimum performance penalty, increased speed, easier configuration and less complexity, making it ideal for continuous integration and continuous delivery based workloads.
But testing a distributed micro-services architecture is no easy task, requiring a shift in mindset and tooling to accommodate the new architecture.
We will provide insight on our experience creating a Jenkins platform based on distributed Docker containers running on Apache Mesos and Marathon, applicable for all types of applications, but specially Java and JVM based ones.
Intro to Docker and clustering with Rancher from scratchJohn Culviner
John will fully explain what Docker is, why it is useful, how it works and most importantly discuss the pros and cons of it from real world production experience. We will then build out (from scratch) a clustered Docker environment using Rancher (machine setup done with Ansible) across multiple virtual machines in the cloud using Terraform learning tips, tricks and what is happening under the covers along the way.
Expect to leave the talk feeling confident about if Docker might make sense for your next project (or might not!) and how to get started easily if it looks like it is the right tool for the job for you.
Divide and Conquer: Easier Continuous Delivery using Micro-ServicesCarlos Sanchez
Docker has revolutionized the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed micro-services architectures.
Containers allow to run services in isolation with a minimum performance penalty, increased speed, easier configuration and less complexity, making it ideal for continuous integration and continuous delivery based workloads. But testing a distributed micro-services architecture is no easy task, requiring a shift in mindset and tooling to accommodate the new architecture.
We will provide insight on our experience creating a Jenkins platform based on distributed Docker containers running on Apache Mesos and Marathon, applicable for all types of applications, but specially Java and JVM based ones.
What’s New in Docker - Victor Vieux, DockerDocker, Inc.
It’s the first breakout after the keynote and you need to know more about all the latest and greatest Docker announcements. We've got you covered! In this session, Victor Vieux, will go deeper looking into what's new with Docker, demo the latest features and answer your questions.
Introduction to dockers and kubernetes. Learn how this helps you to build scalable and portable applications with cloud. It introduces the basic concepts of dockers, its differences with virtualization, then explain the need for orchestration and do some hands-on experiments with dockers
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 SwarmKit and Kubernetes as a real-world example. Gain a deeper understanding of how orchestration systems work in practice and walk away with more insights into your production applications."
DockerCon EU 2015: Shipping Manifests, Bill of Lading and Docker Metadata and...Docker, Inc.
Presented by Gareth Rushgrove, Sr. Software Engineer, Puppet Labs
The shipping container metaphor for Docker points to many of the advantages of building and running software using containers. But what about other essential parts of the shipping container ecosystem like the shipping manifest and bill of lading?
Many of the most powerful features of traditional package management tools like apt or yum are based on metadata associated with the packages. You can find out who created a package and when, check where a particular file came from, whether the package has a known vulnerability and more. What would this capability look like for Docker containers?
This talk will look at the power of metadata for containers, in particular:
* Docker provides labels for associating metadata with images and containers but how best to use them?* What problems can be solved by agreeing on standards for container metadata?* Exposing standard commands and endpoints to expose metadata about what is inside a container* Demo some open source toolings and also look at the sort of tools we might build atop those standards and low-level tools.
Amazon Web Services support Docker containers by Elastic Beanstalk service and with new Elastic Container Services. AWS Elastic Beanstalk is an easy-to-use service for deploying and scaling web applications and services. ECS is a highly scalable, high performance container management service that supports Docker.
I presented these slides during Docker Bangalore Meetup which happened on 23-Nov in DellEMC in Bangalore. These slides talks about the recent acquisition of Docker Enterprise by Mirantis and talks about what Docker is going to focus next on.
Kubernetes 101 - A Cluster Operating Systemmikaelbarbero
The popularity of the Kubernetes platform is continuously increasing... for good reasons! It's a wonderful modular platform made out of fundamentals orthogonal bricks used to defined even more useful bricks. It enables a DevOps friendly envrionnment where microservices and continously delivery feel at home.
If you have not yet dig into what is usually defined as a Cluster Operating System, it's time to catch-up! This thorough introduction to Kubernetes will cover:
* What is a Node and what is the difference between master node(s) and worker nodes.
* What is it like to run an application in Kubernetes
* What is a Pod and how it relates to containers
* How to organize resources with Labels and Namespaces
* How to scale your application with ReplicaSet
* How to expose your application to clients internal to your clusters and to external clients with Services
* What is a Volume and how it is used to attach persistent storage, configuration and secrets to pods
How to do zero downtime rolling update of your application with Deployments
Business Intelligence and Big Data Analytics with Pentaho Uday Kothari
This webinar gives an overview of the Pentaho technology stack and then delves deep into its features like ETL, Reporting, Dashboards, Analytics and Big Data. The webinar also facilitates a cross industry perspective and how Pentaho can be leveraged effectively for decision making. In the end, it also highlights how apart from strong technological features, low TCO is central to Pentaho’s value proposition. For BI technology enthusiasts, this webinar presents easiest ways to learn an end to end analytics tool. For those who are interested in developing a BI / Analytics toolset for their organization, this webinar presents an interesting option of leveraging low cost technology. For big data enthusiasts, this webinar presents overview of how Pentaho has come out as a leader in data integration space for Big data.
Pentaho is one of the leading niche players in Business Intelligence and Big Data Analytics. It offers a comprehensive, end-to-end open source platform for Data Integration and Business Analytics. Pentaho’s leading product: Pentaho Business Analytics is a data integration, BI and analytics platform composed of ETL, OLAP, reporting, interactive dashboards, ad hoc analysis, data mining and predictive analytics.
NGINX Plus PLATFORM For Flawless Application DeliveryAshnikbiz
Flawless Application Delivery using Nginx Plus
By leveraging these latest features:
• Support for HTTP/2 standard
• Thread pools and socket sharding and how it can help improve performance
• NTLM support and new TCP security enhancements
• Advanced NGINX Plus monitoring, management and visibility of health & load checks
Catch this exclusive Google Hangout live!
November 4th, 2015 | 2.00-2.30PM IST | 4.30-5.00PM SGT
About the speaker: Sandeep Khuperkar, Director and CTO at Ashnik will be heading this session. He is an author, enthusiast and community moderator at opensource.com. He is also member of Open Source Initiative, Linux Foundation and Open Source Consortium Of India.
Building Data Integration and Transformations using PentahoAshnikbiz
This presentation will showcase the Data Integration capabilities of Pentaho which helps in building data transformations, through two demonstrations:
- How to build your first transformation to extract, transform and blend the data from various data sources
- How to add additional steps and filters to your transformation
An introduction to Docker native clustering: Swarm.
Deployment and configuration, integration with Consul, for a product-like cluster to serve web-application with multiple containers on multiple hosts. #dockerops
EDW CENIPA is a opensource project designed to enable analysis of aeronautical incidentes that occured in the brazilian civil aviation. The project uses techniques and BI tools that explore innovative low-cost technologies. Historically, Business Intelligence platforms are expensive and impracticable for small projects. BI projects require specialized skills and high development costs. This work aims to break this barrier.
Load Balancing Apps in Docker Swarm with NGINXNGINX, Inc.
On-demand webinar recording: http://bit.ly/2mRjk2g
Docker and other container technologies continue to gain in popularity. We recently surveyed the broad community of NGINX and NGINX Plus users and found that two-thirds of organizations are either investigating containers, using them in development, or using them in production. Why? Because abstracting your applications from the underlying infrastructure makes developing, distributing, and running software simpler, faster, and more robust than ever before.
But when you move from running your app in a development environment to deploying containers in production, you face new challenges – such as how to effectively run and scale an application across multiple hosts with the performance and uptime that your customers demand.
The latest Docker release, 1.12, supports multihost container orchestration, which simplifies deployment and management of containers across a cluster of Docker hosts. In a complex environment like this, load balancing plays an essential part in delivering your container-based application with reliability and high performance.
Join us in this webinar to learn:
* The basic built-in load balancing options available in Docker Swarm Mode
* The pros and cons of moving to an advanced load balancer like NGINX
* How to integrate NGINX and NGINX Plus with Swarm Mode to provide an advanced load-balancing solution for a cluster with orchestration
* How to scale your Docker-based application with Swarm Mode and NGINX Plus
2016 Docker Palo Alto - CD with ECS and JenkinsTracy Kennedy
Through the use of build pipelines, Continuous Delivery enables faster and more frequent builds, tests and deployment cycles. But how do we build a continuous delivery pipelines in the real world? In this session, we are going to demonstrate how to code a pipeline that builds a containerized application and ultimately deploys it to Amazon’s container service, ECS.
Linux containers and Docker specifically have revolutionized the way applications are run at scale, but testing can greatly benefit from those technologies too.Containers allow to run tests in isolation with a minimum performance penalty, increased speed with respect to virtual machine based tests and easier configuration and less complexity for integration testing. Testing with containers allows running tests in a new, clean environment for each execution, minimizing false positives and environment corruption. At the same time it allows reusing container clusters to run development, testing and production workloads.You will learn to effectively use Jenkins with Docker and Kubernetes, a multi host Docker clustering technology, to run your Jenkins jobs in isolated containers for each execution at scale.
http://www.agiletestingdays.com/session/using-docker-for-testing/
DEMYSTIFYING KUBERNETES AND CONTAINER ORCHESTRATIONarmandorvila
Have you ever felt, as a software engineer, the need or the curiosity to understand more about the world of containers and container orchestration? Understanding the parts of the system underneath our applications will give us confidence and will help us to design, build and deliver better software.
In a world of cloud native applications, containers and containers orchestrators are key players, in this session we will introduce the containers and container orchestration topics, and in particular Kubernetes as the container orchestrator of reference. We will dig into some of the Kubernetes internals, and we will see it working in a live demo.
Source code: https://github.com/blue-harvest/kubernetes-eks-cluster
Building Clustered Applications with Kubernetes and DockerSteve Watt
August 2015 - Presented at LinuxCon and ContainerCon
Demos:
1) NGINX Web Cluster with Local Storage
2) Hot Upgrade/Deploy of an NGINX Web Cluster with Shared Storage (GlusterFS)
3) MySQL with Block Storage (Ceph RBD)
4) Apache Spark in Kubernetes with Shared Storage
Production sec ops with kubernetes in dockerDocker, Inc.
In this talk, Scott Coulton will walk through how to build a container as a service platform with Docker EE. Starting from scratch he will help you figure out what orchestrator to choose by deep diving into the technical differences between swarm and kubernetes on the EE platform as well as cover some of the practical considerations that could influence your decision. He will also share various automation solutions to deploy your cluster into production. Once the cluster is up and and running, Scott will delve into sec ops and discuss security best practices - including signing images in DTR (Docker Trusted Registry) and CVE scanning to provide a secure supply chain into production. You’ll leave this talk with the knowledge needed to build your own container platform in production. And did I mention it will all be done live, step-by-step?
Kubernetes is designed to be an extensible system. But what is the vision for Kubernetes Extensibility? Do you know the difference between webhooks and cloud providers, or between CRI, CSI, and CNI? In this talk we will explore what extension points exist, how they have evolved, and how to use them to make the system do new and interesting things. We’ll give our vision for how they will probably evolve in the future, and talk about the sorts of things we expect the broader Kubernetes ecosystem to build with them.
Developer Experience Cloud Native - From Code Gen to Git Commit without a CI/...Michael Hofmann
Developing cloud native applications bring in a lot of complexities for developers. Without using tools to compensate these complexities, you will not become very efficient. Additional, cloud developers often suffer a rising frustration, by fighting these problems.
Before I push my code into Git, I want to test different things in my cloud environment. Therefore it is essential to have a fast and easy round trip. A classic round trip starts by writing or generating code, create a Docker image, deploy it into Kubernetes and test or remote debug the application in Docker or in Kubernetes. Without some elementary tools, this round trip will not be very fast or simple and therefore error prone.
This Lab will show you some open source tools, making your live as a developer more easy. Short demos will demonstrate the simple handling of these tools. Starting point is the generation of a MicroProfile and a SpringBoot application. By using the different tools (e.g. Helm, Shell completion, kubectl cp, Ksync, Stern, Kubefwd, Telepresence, …) on these applications, the complete round trip will be shown. Most of these tools can also be used with other programming languages. Every tool works on its own which makes it easy to switch between these tools.
Finally you will get an evaluation of these tools and I will show you an outlook on tools which are more focused on larger developer teams.
Slides of Kubernetes Athens Meetup vol3 - Unikernels An alternative OS Archit...Nikos Zois
This presentation is a part of Kubernetes meetup vol3 @ Athens.
At the very beggining we explain how we manage until now to come closer to the virtual hardware, removing possible duplication layers, that appear between the hypervisor and the Virtual Machine. An alternative solution removing duplication layers is Unikernels. Having small sized VM including only hypervisor libraries and our application in the same level (kernel), we build a Custom Virtual Machine targeting smaller footprint, reduced latency and better security. Next we explain very fast the OSv unikernel that allow us to compose a linux service built as shared object within the unikernel. Finnally we see a benchmark of a Redis Cluster that is running on OSv unikernels.
Using Containers for Continuous Integration and Continuous Delivery. KubeCon ...Carlos Sanchez
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but it increases complexity when scaling to multiple nodes and clusters.
Jenkins is an example of an application that can take advantage of Kubernetes technology to run Continuous Integration and Continuous Delivery workloads. Jenkins and Kubernetes can be integrated to transparently use on demand containers to run build agents and jobs, and isolate job execution. It also supports CI/CD-as-code using Jenkins Pipelines and automated deployments to Kubernetes clusters. The presentation will allow a better understanding of how to use Jenkins on Kubernetes for container based, totally dynamic, large scale CI and CD.
Using Kubernetes for Continuous Integration and Continuous DeliveryCarlos Sanchez
Learn how to scale your Continuous Integration and Continuous Delivery environment using containers. The Kubernetes project provides a container orchestration solution that greatly simplifies app deployments in large clusters and you can use Jenkins and Kubernetes together to run jobs on-demand.
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but it increases complexity when scaling to multiple nodes and clusters.
Jenkins is an example of an application that can take advantage of Kubernetes technology to run Continuous Integration and Continuous Delivery workloads. Jenkins and Kubernetes can be integrated to transparently use on demand containers to run build agents and jobs, and isolate job execution. It also supports CI/CD-as-code using Jenkins Pipelines and automated deployments to Kubernetes clusters. The presentation will allow a better understanding of how to use Jenkins on Kubernetes for container based, totally dynamic, large scale CI and CD.
Divide and Conquer: Easier Continuous Delivery using Micro-ServicesCarlos Sanchez
Docker has revolutionized the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed micro-services architectures.
Containers allow to run services in isolation with a minimum performance penalty, increased speed, easier configuration and less complexity, making it ideal for continuous integration and continuous delivery based workloads.
But testing a distributed micro-services architecture is no easy task, requiring a shift in mindset and tooling to accommodate the new architecture.
We will provide insight on our experience creating a Jenkins platform based on distributed Docker containers running on Apache Mesos and Marathon, applicable for all types of applications, but specially Java and JVM based ones.
Using Kubernetes for Continuous Integration and Continuous Delivery. Java2daysCarlos Sanchez
Learn how to scale your Continuous Integration and Continuous Delivery environment using containers. The Kubernetes project provides a container orchestration solution that greatly simplifies app deployments in large clusters and you can use Jenkins and Kubernetes together to run jobs on-demand.
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but it increases complexity when scaling to multiple nodes and clusters.
Jenkins is an example of an application that can take advantage of Kubernetes technology to run Continuous Integration and Continuous Delivery workloads. Jenkins and Kubernetes can be integrated to transparently use on demand containers to run build agents and jobs, and isolate job execution. It also supports CI/CD-as-code using Jenkins Pipelines and automated deployments to Kubernetes clusters. The presentation will allow a better understanding of how to use Jenkins on Kubernetes for container based, totally dynamic, large scale CI and CD.
Using Containers for Continuous Integration and Continuous DeliveryCarlos Sanchez
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but it increases complexity when scaling to multiple nodes and clusters.
However, the Kubernetes project provides a container orchestration solution that greatly simplifies app deployments in large clusters, and allows to dynamically run any containerized workload. Jenkins is an example of an application that can take advantage of such technology to run Continuous Integration and Continuous Delivery workloads.
The Jenkins Kubernetes plugin can transparently use on demand containers to run build agents and jobs, and isolate job execution. It also supports CI/CD-as-code using Jenkins Pipelines.
The presentation will allow a better understanding of Kubernetes, and how to use Jenkins on Kubernetes for container based large scale, showing also the challenges of running distributed applications (particularly JVM apps).
From Monolith to Docker Distributed ApplicationsCarlos Sanchez
Docker is revolutionizing the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed microservice architectures. But migrating an existing Java application to a distributed microservice architecture is no easy task, requiring a shift in the software development, networking, and storage to accommodate the new architecture. This presentation provides insights into the experience of the speaker and his colleagues in creating a Jenkins platform based on distributed Docker containers running on Apache Mesos and Marathon and applicable to all types of applications, especially Java- and JVM-based ones.
CI and CD at Scale: Scaling Jenkins with Docker and Apache MesosCarlos Sanchez
In this presentation Carlos Sanchez will share his experience running Jenkins at scale, using Docker and Apache Mesos to create one of the biggest (if not the biggest) Jenkins clusters to date.
By taking advantage of Apache Mesos, the Jenkins platform is dynamically scaled to run jobs across hundreds of Jenkins masters, on Docker containers distributed across the Mesos cluster. Jenkins slaves are dynamically created based on load, using the Jenkins Mesos and Docker plugins, running in containers distributed across multiple hosts, and isolating job execution.
This presentation will allow a better understanding of Apache Mesos and the challenges of running Docker containerized and distributed applications, particularly JVM ones, by sharing a real world use case, including good and bad decisions and how they affected the development.
From Monolith to Docker Distributed ApplicationsCarlos Sanchez
Docker is revolutionizing the way people think about applications and deployments. It provides a simple way to run and distribute Linux containers for a variety of use cases, from lightweight virtual machines to complex distributed micro-services architectures.
Containers allow to run services in isolation with a minimum performance penalty, increased speed, easier configuration and less complexity, making it ideal for continuous integration and continuous delivery based workloads. But migrating an existing application to a distributed microservices architecture is no easy task, requiring a shift in the software development, networking and storage to accommodate the new architecture.
We will provide insight on our experience creating a Jenkins platform based on distributed Docker containers running on Apache Mesos and Marathon, applicable for all types of applications, but specially Java and JVM based nones.
DevoxxFR 2015 Talk http://cfp.devoxx.fr/2015/talk/WXY-1157/Scaling_Docker_with_Kubernetes
Kubernetes is an open source project to manage a cluster of Linux containers as a single system, managing and running Docker containers across multiple Docker hosts, offering co-location of containers, service discovery and replication control. It was started by Google and now it is supported by Microsoft, RedHat, IBM and Docker Inc amongst others.
Once you are using Docker containers the next question is how to scale and start containers across multiple Docker hosts, balancing the containers across them. Kubernetes also adds a higher level API to define how containers are logically grouped, allowing to define pools of containers, load balancing and affinity.
Code testing and Continuous Integration are just the first step in a source code to production process. Combined with infrastructure-as-code tools such as Puppet the whole process can be automated, and tested!
Infrastructure testing with Jenkins, Puppet and Vagrant - Agile Testing Days ...Carlos Sanchez
Extend Continuous Integration to automatically test your infrastructure.
Continuous Integration can be extended to test deployments and production environments, in a Continuous Delivery cycle, using infrastructure-as-code tools like Puppet, allowing to manage multiple servers and their configurations, and test the infrastructure the same way continuous integration tools do with developers’ code.
Puppet is an infrastructure-as-code tool that allows easy and automated provisioning of servers, defining the packages, configuration, services, … in code. Enabling DevOps culture, tools like Puppet help drive Agile development all the way to operations and systems administration, and along with continuous integration tools like Jenkins, it is a key piece to accomplish repeatability and continuous delivery, automating the operations side during development, QA or production, and enabling testing of systems configuration.
Using Vagrant, a command line automation layer for VirtualBox, we can easily spin off virtual machines with the same configuration as production servers, run our test suite, and tear them down afterwards.
We will show how to set up automated testing of an application and associated infrastructure and configurations, creating on demand virtual machines for testing, as part of your continuous integration process.
How to Develop Puppet Modules: From Source to the Forge With Zero ClicksCarlos Sanchez
Puppet Modules are a great way to reuse code, share your development with other people and take advantage of the hundreds of modules already available in the community. But how to create, test and publish them as easily as possible? now that infrastructure is defined as code, we need to use development best practices to build, test, deploy and use Puppet modules themselves. Three steps for a fully automated process
* Continuous Integration of Puppet Modules
* Automatic release and upload to the Puppet Forge
* Deploy to Puppet master
Continuous Delivery with Maven, Puppet and Tomcat - ApacheCon NA 2013Carlos Sanchez
Continuous Integration, with Apache Continuum or Jenkins, can be extended to fully manage deployments and production environments, running in Tomcat for instance, in a full Continuous Delivery cycle using infrastructure-as-code tools like Puppet, allowing to manage multiple servers and their configurations.
Puppet is an infrastructure-as-code tool that allows easy and automated provisioning of servers, defining the packages, configuration, services,... in code. Enabling DevOps culture, tools like Puppet help drive Agile development all the way to operations and systems administration, and along with continuous integration tools like Apache Continuum or Jenkins, it is a key piece to accomplish repeatability and continuous delivery, automating the operations side during development, QA or production, and enabling testing of systems configuration.
Traditionally a field for system administrators, Puppet can empower developers, allowing both to collaborate coding the infrastructure needed for their developments, whether it runs in hardware, virtual machines or cloud. Developers and sysadmins can define what JDK version must be installed, application server, version, configuration files, war and jar files,... and easily make changes that propagate across all nodes.
Using Vagrant, a command line automation layer for VirtualBox, they can also spin off virtual machines in their local box, easily from scratch with the same configuration as production servers, do development or testing and tear them down afterwards.
We will show how to install and manage Puppet nodes with JDK, multiple Tomcat instances with installed web applications, database, configuration files and all the supporting services. Including getting up and running with Vagrant and VirtualBox for quickstart and Puppet experiments, as well as setting up automated testing of the Puppet code.
Puppet for Java developers - JavaZone NO 2012Carlos Sanchez
Example code at https://github.com/carlossg/puppet-for-java-devs
More info at http://blog.carlossanchez.eu/tag/devops
Video at http://vimeo.com/49483627
Puppet is an infrastructure-as-code tool that allows easy and automated provisioning of servers, defining the packages, configuration, services,... in code. Enabling DevOps culture, tools like Puppet help drive Agile development all the way to operations and systems administration, and along with continuous integration tools like Jenkins, it is a key piece to accomplish repeatability and continuous delivery, automating the operations side during development, QA or production, and enabling testing of systems configuration.
Traditionally a field for system administrators, Puppet can empower developers, allowing both to collaborate coding the infrastructure needed for their developments, whether it runs in hardware, virtual machines or cloud. Developers and sysadmins can define what JDK version must be installed, application server, version, configuration files, war and jar files,... and easily make changes that propagate across all nodes.
Using Vagrant, a command line automation layer for VirtualBox, they can also spin off virtual machines in their local box, easily from scratch with the same configuration as production servers, do development or testing and tear them down afterwards.
We’ll show how to install and manage Puppet nodes with JDK, multiple application server instances with installed web applications, database, configuration files and all the supporting services. Including getting up and running with Vagrant and VirtualBox for quickstart and Puppet experiments, as well as setting up automated testing of the Puppet code.
More info at http://blog.carlossanchez.eu/tag/devops
Video en español: http://youtu.be/E_OE4l3t5BA
The DevOps movement aims to improve communication between developers and operations teams to solve critical issues such as fear of change and risky deployments. But the same way that Agile development would likely fail without continuous integration tools, the DevOps principles need tools to make them real, and provide the automation required to actually be implemented. Most of the so called DevOps tools focus on the operations side, and there should be more than that, the automation must cover the full process, Dev to QA to Ops and be as automated and agile as possible. Tools in each part of the workflow have evolved in their own silos, and with the support of their own target teams. But a true DevOps mentality requires a seamless process from the start of development to the end in production deployments and maintenance, and for a process to be successful there must be tools that take the burden out of humans.
Apache Maven has arguably been the most successful tool for development, project standardization and automation introduced in the last years. On the operations side we have open source tools like Puppet or Chef that are becoming increasingly popular to automate infrastructure maintenance and server provisioning.
In this presentation we will introduce an end-to-end development-to-production process that will take advantage of Maven and Puppet, each of them at their strong points, and open source tools to automate the handover between them, automating continuous build and deployment, continuous delivery, from source code to any number of application servers managed with Puppet, running either in physical hardware or the cloud, handling new continuous integration builds and releases automatically through several stages and environments such as development, QA, and production.
More info at http://blog.carlossanchez.eu/tag/devops
The DevOps movement aims to improve communication between developers and operations teams to solve critical issues such as fear of change and risky deployments. But the same way that Agile development would likely fail without continuous integration tools, the DevOps principles need tools to make them real, and provide the automation required to actually be implemented. Most of the so called DevOps tools focus on the operations side, and there should be more than that, the automation must cover the full process, Dev to QA to Ops and be as automated and agile as possible. Tools in each part of the workflow have evolved in their own silos, and with the support of their own target teams. But a true DevOps mentality requires a seamless process from the start of development to the end in production deployments and maintenance, and for a process to be successful there must be tools that take the burden out of humans.
Apache Maven has arguably been the most successful tool for development, project standardization and automation introduced in the last years. On the operations side we have open source tools like Puppet or Chef that are becoming increasingly popular to automate infrastructure maintenance and server provisioning.
In this presentation we will introduce an end-to-end development-to-production process that will take advantage of Maven and Puppet, each of them at their strong points, and open source tools to automate the handover between them, automating continuous build and deployment, continuous delivery, from source code to any number of application servers managed with Puppet, running either in physical hardware or the cloud, handling new continuous integration builds and releases automatically through several stages and environments such as development, QA, and production.
More info at http://blog.carlossanchez.eu/2011/11/15/from-dev-to-devops-slides-from-apachecon-na-vancouver-2011/
The DevOps movement aims to improve communication between developers and operations teams to solve critical issues such as fear of change and risky deployments. But the same way that Agile development would likely fail without continuous integration tools, the DevOps principles need tools to make them real, and provide the automation required to actually be implemented. Most of the so called DevOps tools focus on the operations side, and there should be more than that, the automation must cover the full process, Dev to QA to Ops and be as automated and agile as possible. Tools in each part of the workflow have evolved in their own silos, and with the support of their own target teams. But a true DevOps mentality requires a seamless process from the start of development to the end in production deployments and maintenance, and for a process to be successful there must be tools that take the burden out of humans.
Apache Maven has arguably been the most successful tool for development, project standardization and automation introduced in the last years. On the operations side we have open source tools like Puppet or Chef that are becoming increasingly popular to automate infrastructure maintenance and server provisioning.
In this presentation we will introduce an end-to-end development-to-production process that will take advantage of Maven and Puppet, each of them at their strong points, and open source tools to automate the handover between them, automating continuous build and deployment, continuous delivery, from source code to any number of application servers managed with Puppet, running either in physical hardware or the cloud, handling new continuous integration builds and releases automatically through several stages and environments such as development, QA, and production.
From Dev to DevOps - Apache Barcamp Spain 2011Carlos Sanchez
UPDATE: updated slides at http://www.slideshare.net/carlossg/from-dev-to-devops-conferencia-agile-spain-2011
The DevOps movement aims to improve communication between developers and operations teams to solve critical issues such as fear of change and risky deployments. But the same way that Agile development would likely fail without continuous integration tools, the DevOps principles need tools to make them real, and provide the automation required to actually be implemented. Most of the so called DevOps tools focus on the operations side, and there should be more than that, the automation must cover the full process, Dev to QA to Ops and be as automated and agile as possible. Tools in each part of the workflow have evolved in their own silos, and with the support of their own target teams. But a true DevOps mentality requires a seamless process from the start of development to the end in production deployments and maintenance, and for a process to be successful there must be tools that take the burden out of humans.
Apache Maven has arguably been the most successful tool for development, project standardization and automation introduced in the last years. On the operations side we have open source tools like Puppet or Chef that are becoming increasingly popular to automate infrastructure maintenance and server provisioning.
In this presentation we will introduce an end-to-end development-to-production process that will take advantage of Maven and Puppet, each of them at their strong points, and open source tools to automate the handover between them, automating continuous build and deployment, continuous delivery, from source code to any number of application servers managed with Puppet, running either in physical hardware or the cloud, handling new continuous integration builds and releases automatically through several stages and environments such as development, QA, and production.
Enterprise Build And Test In The Cloud
JavaOne 2009 San Francisco
http://www.carlossanchez.eu
Building and testing software can be a time- and resource-consuming task. Cloud computing/on-demand services such as Amazon EC2 provide a cost-effective way to scale applications and, for building and testing software, can reduce the time needed to find and correct problems, meaning a cost reduction as well.
Properly configuring your build tools (Maven, Ant,...), continuous integration servers (Continuum, Cruise Control,...), and testing tools (TestNG, Selenium,...) can enable you to run all the building/testing process in a cloud environment, simulating high-load environments, distributing long-running tests to reduce their execution time, using different environments for client or server applications, and so on -- and in the case of on-demand services such as Amazon EC2, pay only for the time you use it.
In this presentation we will introduce a development process and architecture using popular open source tools for the build and test process such as Apache Maven or Ant for building, Apache Continuum as continuous integration server, TestNG and Selenium for testing, and how to configure them to achieve the best results and performance in several typical use cases (long running testing processes, different client platforms,...) by using he Amazon Elastic Computing Cloud EC2, and therefore reducing time and costs compared to other solutions.
Enterprise Build And Test In The Cloud
ApacheCon EU 2009 Amsterdam
http://www.carlossanchez.eu
Building and testing software can be a time and resource consuming task. Cloud computing / on demand services like Amazon EC2 allow a cost-effective way to scale applications, and applied to building and testing software can reduce the time needed to find and correct problems, meaning a reduction also in time and costs. Properly configuring your build tools (Maven, Ant,...), continuous integration servers (Continuum, Cruise Control,...), and testing tools (TestNG, Selenium,...) can allow you to run all the build/testing process in a cloud environment, simulating high load environments, distributing long running tests to reduce their execution time, using different environments for client or server applications,... and in the case of on-demand services like Amazon EC2, pay only for the time you use it. In this presentation we will introduce a development process and architecture using popular open source tools for the build and test process such as Apache Maven or Ant for building, Apache Continuum as continuous integration server, TestNG and Selenium for testing, and how to configure them to achieve the best results and performance in several typical use cases (long running testing processes, different client platforms,...) by using he Amazon Elastic Computing Cloud EC2, and therefore reducing time and costs compared to other solutions.
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.
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.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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.
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.
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.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
24. #jenkinsconf
Pod
Group of colocated containers
Same network namespace/IP
Environment variables
Shared volumes
host mounted
empty volumes
GCE data disks
AWS EBS volumes
35. #jenkinsconf
Networking
all containers can communicate with all other containers
without NAT
all nodes can communicate with all containers (and vice-versa)
without NAT
the IP that a container sees itself as is the same IP
that others see it as
Containers in a Pod can talk using localhost
36. #jenkinsconf
Networking
Every machine in the cluster is assigned a full subnet
ie. node A 10.0.1.0/24 and node B 10.0.2.0/24
Simpler port mapping
Only supported by GCE
CoreOS flannel
Creates an overlay network in other providers
55. #jenkinsconf
Example code and slides
Available at
http://slideshare.csanchez.org
https://github.com/carlossg/kubernetes-jenkins
http://blog.csanchez.org