Software development is changing rapidly. Enterprises that want to capture value faster, have to deliver value faster. The way to do that is by delivering software in production fast. Think multiple x a day. How do you transform to a digital enterprise that enables that?
Overseeing Ship's Surveys and Surveyors Globally Using IoT and Docker by Jay ...Docker, Inc.
Fugro is a multinational enterprise that collects and provides highly specialized interpretation of geological data for a number of industries, at land and at sea. The company recently launched OARS (Office Assisted Remote Services), an innovation which uses advanced technology to reduce, and potentially eliminate, the need for surveyors onboard sea-going vessels, optimizing project crewing, safety and efficiency. By keeping skilled staff onshore and using an Internet of Things platform model, Fugro’s OARS project provides faster interpretation of data and decisions, better access to information across regions Hear how Fugro and consulting partner Flux7 created a solution with Docker and Amazon Web Services at its center that provides a high degree of uptime, ensures data is secure and enables portability so that environments that can be quickly replicated in new global regions on demand. Learn how Docker is being used as a key component in Fugro’s continuous delivery cycle and see how Docker is also used to create redundancy that ensures high uptime for Fugro’s 24X7 requirements.
Using the SDACK Architecture on Security Event Inspection by Yu-Lun Chen and ...Docker, Inc.
The SDACK architecture stands for Spark, Docker, Akka, Cassandra, and Kafka. At TrendMicro, we adopted the SDACK architecture to implement a security event inspection platform for APT attack analysis. In this talk, we will introduce SDACK stack with Spark lambda architecture, Akka and Kafka for streaming data pipeline, Cassandra for time series data, and Docker for microservices. Specifically, we will show you how we Dockerize each SDACK component to facilitate the RD team of algorithms development, help the QA team test the product easily, and use the Docker as a Service strategy to ship our products to customers. Next, we will show you how we monitor each Docker container and adjust the resource usage based on monitoring metrics. And then, we will share our Docker security policy which ensures our products are safety before shipping to customers. After that, we'll show you how we develop an all-in-one Docker based data product and scale it out to multi-host Docker cluster to solve the big data problem. Finally, we will share some challenges we faced during the product development and some lesson learned.
When we think about establishing a Kubernetes capability for our organization, our instinct, or perhaps just habit, might lead us to stand up a single cluster that will then be a shared resource across numerous tenants. Kubernetes offers namespaces that are intended to carve up the capacity across different users or groups of users. And while this may work well in some scenarios, it does impose certain constraints and limitations on its use. For example, it is well understood that the multitenancy in Kubernetes is soft, meaning it does not guard against deliberately malicious attacks from one tenant to another.
If instead, we align tenant boundaries to Kubernetes clusters, effectively creating many single tenant clusters we can not only avoid certain limitations but we gain some significant advantages. Add a control plane for managing these sets of clusters and we have a powerful solution built on decades of maturity in machine virtualization.
In this session we will present both models, multi-tenant clusters and multi-clusters and study the tradeoffs of each.
Francisco Javier Ramírez Urea - IT Architect, Hoplasoftware
Guillaume Morini - SE, Docker
The integration of Kubernetes orchestration into the Docker Enterprise Platform presents deployments with interesting new abstractions for application connectivity. Devs and Ops are often challenged with rationalizing how pod networking (with CNI plugins like Calico or Flannel), Services (via kube-proxy) and Ingress work in concert to enable application connectivity within and outside a cluster. Similarly, given the dynamic and transient nature of containerized microservice workloads, how to leverage scalable and declarative approaches like network policies to express segmentation and security primitives. This session provides an illustrative walkthrough of these core concepts by going through common deployment architectures providing design, operations, and scale considerations based on experience from numerous production deployments. We will discuss Kubernetes publishing methods and deep dive into Ingress Controllers. This session will also showcase how to complement application and operations workflows with policy-driven business, compliance and security controls typically required in enterprise production deployments including going further into limiting traffic to services, session persistence, rewriting, and activating container health checks.
The Good, the Bad and the Ugly of Migrating Hundreds of Legacy Applications ...Josef Adersberger
Running applications on Kubernetes can provide a lot of benefits: more dev speed, lower ops costs, and a higher elasticity & resiliency in production. Kubernetes is the place to be for cloud native apps. But what to do if you’ve no shiny new cloud native apps but a whole bunch of JEE legacy systems? No chance to leverage the advantages of Kubernetes? Yes you can!
We’re facing the challenge of migrating hundreds of JEE legacy applications of a major German insurance company onto a Kubernetes cluster within one year. We're now close to the finish line and it worked pretty well so far.
The talk will be about the lessons we've learned - the best practices and pitfalls we've discovered along our way. We'll provide our answers to life, the universe and a cloud native journey like:
- What technical constraints of Kubernetes can be obstacles for applications and how to tackle these?
- How to architect a landscape of hundreds of containerized applications with their surrounding infrastructure like DBs MQs and IAM and heavy requirements on security?
- How to industrialize and govern the migration process?
- How to leverage the possibilities of a cloud native platform like Kubernetes without challenging the tight timeline?
Driving Digital Transformation With Containers And Kubernetes Complete DeckSlideTeam
Introducing Kubernetes Concepts And Architecture PowerPoint Presentation Slides. This readily available open-source architecture PPT infographics well explains the concept of containers. You can also depict the architecture of containers and microservices with the help of a visually appealing PPT slideshow. Our content-ready containers PPT slideshow allow you to showcase the reasons for opting for Kubernetes by an organization. Depict the roadmap for installing Kubernetes in the organization in a presentable manner by using this slide design. The major advantages of Kubernetes, such as the stability of application run, improving productivity, and many more can be presented in this slide deck. Cover 30 60 90 days plan to implement Kubernetes in the organization with this thoroughly researched PowerPoint templates. Discuss the key components of Kubernetes with a diagram using this modern-designed cluster architecture PowerPoint layouts. Describe each element’s functionality using these PowerPoint visuals. Hence manage the clusters efficiently by downloading Kubernetes architecture PPT slides. https://bit.ly/3p6xEoS
On-the-Fly Containerization of Enterprise Java & .NET Apps by Amjad AfanahDocker, Inc.
Dockerizing brownfield enterprise applications can often be a daunting task - involving changes to the application code/configuration and existing build processes. The DCHQ platform provides “on-the-fly” containerization of both Linux & Windows enterprise applications – including Java, Oracle, .NET and others. By doing so, DCHQ transforms non-cloud-native applications into completely portable applications that can take advantage of cloud scaling, storage redundancy and most importantly, deployment agility without introducing a single change to the application source control repository.
In this session, we will cover the deployment automation of an Enterprise Java application with PostgreSQL multi-host cluster set up for Master-Slave replication and automated storage management with redundant EBS volumes on AWS using DCHQ + EMC REX-Ray. We will also cover the deployment automation of an Enterprise .NET application demonstrating the application life-cycle management capabilities post-provision -- including monitoring, alerts, continuous delivery, application backups, scale in/out, in-browser terminal to access the containers, log streaming, and application updates.
Fully Orchestrating Applications, Microservices and Enterprise Services with ...Docker, Inc.
As a multi-national bank, Societe General IT infrastructure has thousands of apps, almost every bit of technology deployed and compliance requirements. Our vision is to broadly transform traditional bank IT to be agile and fast. Speed is critical in a digital economy and at Societe Generale we are building a new execution platform with Docker that provides IT containers, middleware and infrastructure as a service and orchestration. In this session we will share the technical and organizational steps of our journey from how we defined and architected a PaaS for our entity; with service catalog, service topologies, ambassadors with Docker Datacenter, continuous integration and what’s next.
Overseeing Ship's Surveys and Surveyors Globally Using IoT and Docker by Jay ...Docker, Inc.
Fugro is a multinational enterprise that collects and provides highly specialized interpretation of geological data for a number of industries, at land and at sea. The company recently launched OARS (Office Assisted Remote Services), an innovation which uses advanced technology to reduce, and potentially eliminate, the need for surveyors onboard sea-going vessels, optimizing project crewing, safety and efficiency. By keeping skilled staff onshore and using an Internet of Things platform model, Fugro’s OARS project provides faster interpretation of data and decisions, better access to information across regions Hear how Fugro and consulting partner Flux7 created a solution with Docker and Amazon Web Services at its center that provides a high degree of uptime, ensures data is secure and enables portability so that environments that can be quickly replicated in new global regions on demand. Learn how Docker is being used as a key component in Fugro’s continuous delivery cycle and see how Docker is also used to create redundancy that ensures high uptime for Fugro’s 24X7 requirements.
Using the SDACK Architecture on Security Event Inspection by Yu-Lun Chen and ...Docker, Inc.
The SDACK architecture stands for Spark, Docker, Akka, Cassandra, and Kafka. At TrendMicro, we adopted the SDACK architecture to implement a security event inspection platform for APT attack analysis. In this talk, we will introduce SDACK stack with Spark lambda architecture, Akka and Kafka for streaming data pipeline, Cassandra for time series data, and Docker for microservices. Specifically, we will show you how we Dockerize each SDACK component to facilitate the RD team of algorithms development, help the QA team test the product easily, and use the Docker as a Service strategy to ship our products to customers. Next, we will show you how we monitor each Docker container and adjust the resource usage based on monitoring metrics. And then, we will share our Docker security policy which ensures our products are safety before shipping to customers. After that, we'll show you how we develop an all-in-one Docker based data product and scale it out to multi-host Docker cluster to solve the big data problem. Finally, we will share some challenges we faced during the product development and some lesson learned.
When we think about establishing a Kubernetes capability for our organization, our instinct, or perhaps just habit, might lead us to stand up a single cluster that will then be a shared resource across numerous tenants. Kubernetes offers namespaces that are intended to carve up the capacity across different users or groups of users. And while this may work well in some scenarios, it does impose certain constraints and limitations on its use. For example, it is well understood that the multitenancy in Kubernetes is soft, meaning it does not guard against deliberately malicious attacks from one tenant to another.
If instead, we align tenant boundaries to Kubernetes clusters, effectively creating many single tenant clusters we can not only avoid certain limitations but we gain some significant advantages. Add a control plane for managing these sets of clusters and we have a powerful solution built on decades of maturity in machine virtualization.
In this session we will present both models, multi-tenant clusters and multi-clusters and study the tradeoffs of each.
Francisco Javier Ramírez Urea - IT Architect, Hoplasoftware
Guillaume Morini - SE, Docker
The integration of Kubernetes orchestration into the Docker Enterprise Platform presents deployments with interesting new abstractions for application connectivity. Devs and Ops are often challenged with rationalizing how pod networking (with CNI plugins like Calico or Flannel), Services (via kube-proxy) and Ingress work in concert to enable application connectivity within and outside a cluster. Similarly, given the dynamic and transient nature of containerized microservice workloads, how to leverage scalable and declarative approaches like network policies to express segmentation and security primitives. This session provides an illustrative walkthrough of these core concepts by going through common deployment architectures providing design, operations, and scale considerations based on experience from numerous production deployments. We will discuss Kubernetes publishing methods and deep dive into Ingress Controllers. This session will also showcase how to complement application and operations workflows with policy-driven business, compliance and security controls typically required in enterprise production deployments including going further into limiting traffic to services, session persistence, rewriting, and activating container health checks.
The Good, the Bad and the Ugly of Migrating Hundreds of Legacy Applications ...Josef Adersberger
Running applications on Kubernetes can provide a lot of benefits: more dev speed, lower ops costs, and a higher elasticity & resiliency in production. Kubernetes is the place to be for cloud native apps. But what to do if you’ve no shiny new cloud native apps but a whole bunch of JEE legacy systems? No chance to leverage the advantages of Kubernetes? Yes you can!
We’re facing the challenge of migrating hundreds of JEE legacy applications of a major German insurance company onto a Kubernetes cluster within one year. We're now close to the finish line and it worked pretty well so far.
The talk will be about the lessons we've learned - the best practices and pitfalls we've discovered along our way. We'll provide our answers to life, the universe and a cloud native journey like:
- What technical constraints of Kubernetes can be obstacles for applications and how to tackle these?
- How to architect a landscape of hundreds of containerized applications with their surrounding infrastructure like DBs MQs and IAM and heavy requirements on security?
- How to industrialize and govern the migration process?
- How to leverage the possibilities of a cloud native platform like Kubernetes without challenging the tight timeline?
Driving Digital Transformation With Containers And Kubernetes Complete DeckSlideTeam
Introducing Kubernetes Concepts And Architecture PowerPoint Presentation Slides. This readily available open-source architecture PPT infographics well explains the concept of containers. You can also depict the architecture of containers and microservices with the help of a visually appealing PPT slideshow. Our content-ready containers PPT slideshow allow you to showcase the reasons for opting for Kubernetes by an organization. Depict the roadmap for installing Kubernetes in the organization in a presentable manner by using this slide design. The major advantages of Kubernetes, such as the stability of application run, improving productivity, and many more can be presented in this slide deck. Cover 30 60 90 days plan to implement Kubernetes in the organization with this thoroughly researched PowerPoint templates. Discuss the key components of Kubernetes with a diagram using this modern-designed cluster architecture PowerPoint layouts. Describe each element’s functionality using these PowerPoint visuals. Hence manage the clusters efficiently by downloading Kubernetes architecture PPT slides. https://bit.ly/3p6xEoS
On-the-Fly Containerization of Enterprise Java & .NET Apps by Amjad AfanahDocker, Inc.
Dockerizing brownfield enterprise applications can often be a daunting task - involving changes to the application code/configuration and existing build processes. The DCHQ platform provides “on-the-fly” containerization of both Linux & Windows enterprise applications – including Java, Oracle, .NET and others. By doing so, DCHQ transforms non-cloud-native applications into completely portable applications that can take advantage of cloud scaling, storage redundancy and most importantly, deployment agility without introducing a single change to the application source control repository.
In this session, we will cover the deployment automation of an Enterprise Java application with PostgreSQL multi-host cluster set up for Master-Slave replication and automated storage management with redundant EBS volumes on AWS using DCHQ + EMC REX-Ray. We will also cover the deployment automation of an Enterprise .NET application demonstrating the application life-cycle management capabilities post-provision -- including monitoring, alerts, continuous delivery, application backups, scale in/out, in-browser terminal to access the containers, log streaming, and application updates.
Fully Orchestrating Applications, Microservices and Enterprise Services with ...Docker, Inc.
As a multi-national bank, Societe General IT infrastructure has thousands of apps, almost every bit of technology deployed and compliance requirements. Our vision is to broadly transform traditional bank IT to be agile and fast. Speed is critical in a digital economy and at Societe Generale we are building a new execution platform with Docker that provides IT containers, middleware and infrastructure as a service and orchestration. In this session we will share the technical and organizational steps of our journey from how we defined and architected a PaaS for our entity; with service catalog, service topologies, ambassadors with Docker Datacenter, continuous integration and what’s next.
Use Docker to Deliver Cognitive Services Running Cross Platform and Multi Clo...Docker, Inc.
Watson developer cloud delivers Watson Cognitive services as micro services on the cloud that are being used by many IBM Watson customers. The micro services were packaged in ova at the first release. There were some drawbacks in ova deployment in the cloud. We gradually switched to use docker. As a result, the service deployment time and start up time are significantly improved. It also greatly simplified our continuous delivery process since our services run on both Intel and Power platform and we have offerings on our public cloud, dedicated cloud as well as customers’ on premise cloud. With minimal deployment time and quick startup time, Docker makes our dynamic creation of service instance on the fly per customer request possible.
Enterprise Cloud Native is the New NormalQAware GmbH
ContainerDays 2019, Hamburg: Talk by Mario-Leander Reimer (@LeanderReimer, Principal Software Architect at QAware)
=== Please download slides if blurred! ===
Abstract: The world of IT and technology is moving faster than ever before. Cloud native technology and application architecture have been influencing and disrupting the software engineering discipline for the past years and there is no end in sight. But according to Gardner we are currently entering the trough of disillusionment. So does this mean we followed the wrong path and that we should turn back? Hell no!!!
Despite of all disbelievers and trolls: cloud native is neither a failure nor a hype anymore! It will become mainstream. We already see widespread adoption at all our customers. Of course there still is a lot of room for improvement. No doubt about that. Technology, methodology, processes, operations, cloud native architecture and software development need to mature even further to become boring and ready for the enterprise. This is software industrialization in its purest form. And our skills and expertise are required to make this happen.
Learn how you'll be able to quickly develop, host, and scale applications within the AWS cloud with Red Hat's OpenShift. During this session, we walk you thru the straightforward method of deploying and managing your own Linux based application within the AWS cloud and will additionally discuss key use-cases and advantages to container platform configuration, deployment, and administration.
Chugging Our Own "Craft Brew” – HPE’s Journey Towards Containers-as-a-Service...Docker, Inc.
Hewlett Packard Enterprise has a vast IT organization that consists of 15k Dev + Ops professionals, operating in 11 countries, with hundreds of development teams working together on over 1000 projects. Millions of lines of code get changed every day, generating 20,000+ change request in an average year. And now, we’re on a journey to building a Docker environment for this massive organization, to serve the needs of our own multi-billion dollar enterprise. This session showcases our own learnings across multiple phases of our containerization project, with real life experiences from both the Dev and Ops perspectives. We’ll also talk about shared experiences from some of HPE’s customers. “Coding” our infrastructure with Docker, one application image, one deployment command, multiple deployment models – this is an “extreme” tale of how one of the world’s largest enterprises is fully embracing Docker.
Kubo (Cloud Foundry Container Platform): Your Gateway Drug to Cloud-nativecornelia davis
You’re at the Cloud Foundry Summit, which means you are by definition a cloud-native enthusiast. There’s no question that building apps in this architectural style will produce resilient, scalable software in an agile manner, and allow you to operate it far more efficiently than you’ve been able to in the past. But you’ve also got a whole lot of software in your company’s portfolio that isn’t there yet. Do you have to resign yourself to the pains of managing those applications the old way until you can finally refactor them to be cloud-native? Kubo to the rescue.
You can run legacy applications on Kubo without significant refactoring – pure and simple. As an added bonus, it allows you to satisfy the CIO mandate of running containers (check). But it’s far more than that – running those workloads on Kubo offers advantages over running them on traditional virtualized infrastructure. This session covers those advantages –resource consolidation, health management, multi-cloud and more. It will also present the abstractions in Kubernetes, things like pods and stateful sets, that support running legacy workloads in the cloud environments that are far more distributed and changing than they have been in the past. It’s a first step to cloud-native.
Building Developer Pipelines with PKS, Harbor, Clair, and ConcourseVMware Tanzu
SpringOne Platform 2017
Thomas Kraus, VMware; Merlin Glynn, VMware
Today's developer needs to rapidly build and deploy code in a consistent, predictable, and declarative manner. This session will illustrate how companies can leverage PKS, Kubernetes, Harbor, Clair, and Concourse to achieve these goals. The session will provide a solution overview for developing, building, and deploying applications using Container technologies from VMware and Pivotal. A brief review of each of the technologies being discussed will be provided. The session will include a proposed end to end solution leveraging all of these technologies to provide a better developer experience. The session will conclude with a demonstration illustrating a development workflow leveraging these technologies to initially develop and then update an Application running on PKS and Kubernetes.
¿Qué es Azure DevOps? Vamos a ver un ejemplo de ciclo completo de despliegue con Azure DevOps que nos permita, durante el resto de sesiones, integrar los conceptos que veremos en ellas.
En esta sesión os explicaremos que son los Azure Pipelines, YAML, Releases y el ciclo completo de compilación-testing-despliegue de una aplicación mediante estos pipelines
Keeping your Kubernetes Cluster SecureGene Gotimer
From NOVA Cloud and Software Engineering Group meetup, Feb. 17, 2021 https://youtu.be/a5uPm1mPLKQ.
Hardening a Kubernetes cluster happens at different levels. We have to examine the nodes where Kubernetes is running. We want to secure the Kubernetes objects and workloads and review the files we used to create them. And we need to look for vulnerabilities in the containers we are using. Gene will show you some open-source tools that can find issues and vulnerabilities at each layer. All of them can be used in a pipeline to build your Kubernetes cluster safely and keep it secure.
Gene Gotimer is the meetup organizer and a DevSecOps Senior Engineer at Steampunk, focusing on agile processes, secure development practices, and automation. Gene feels strongly that repeatability, quality, and security are all strongly intertwined; each depends on the other two, making agile and DevSecOps that much more crucial to software development.
DCSF 19 Microservices API: Routing Across Any InfrastructureDocker, Inc.
Alex Hokanson + Brett Inman, Docker
Microservice architectures can be difficult to implement. Specifically how to route to the a service correctly and ensure that traffic is spread across all instances of that service. What happens in a cloud environment where it is normal to lose and gain service instances as a part of daily operations? How do you configure something to be able to consistently route to your service when you don’t even know where your service is running!? At Docker, we developed our own highly available and automated API server on top of HAProxy with deep integration with Consul. Our API server acts as a service discovery and load balancing service to ensure availability in a highly dynamic environment. In addition to running such a complex application, we need to support thousands of requests per second while being able to monitor every request that comes through--that is no small feat!
In addition to running a highly available API server, we also recently migrated it from running natively on Ubuntu 14.04 to run all components inside of containers by using Kubernetes with Docker Enterprise. With the containerization journey came some benefits along with new challenges that were not foreseen.
Pivotal Container Service (PKS) at SF Cloud Foundry Meetupcornelia davis
Overview of Pivotal Container Service (PKS), built on the open source Cloud Foundry Container Runtime (CFCR). Covers what Kubernetes is, how PKS presents a complete platform that includes Kubernetes and much more, and key cloud principles.
Presented at the San Francisco-Bay Area Cloud Foundry meetup.
Ed Seymour
Containerisation Lead – Red Hat
Ed has over 20 years experience working in software development and IT automation. With a career that started with a small software start-up, working efficiently and with agility was a necessity, and through his experience working at a global IT services company, gained valuable experience in promoting and effecting organisational change, adoption of agile methods, and automation of the software development life-cycle. At Red Hat, Ed’s role has focused on enabling customers as they embrace new organisational behaviours and structures, for example DevOps, and developing new IT services through adoption of emerging technologies, such as Cloud Management, OpenStack; Ed specialises in solutions based on containers through Docker, Kubernetes and OpenShift.
Learning the Alphabet: A/B, CD and [E-Z] in the Docker Datacenter by Brett Ti...Docker, Inc.
What is the right balance between moving fast, innovating, experimenting with new technology, and protecting the personal data of our customers and interests of our stakeholders? How can we safely try new ideas in production without risking costly downtime? Does the utopia where developers are free from lock-in and operators enjoy the calm of a steadily running system exist in the real world? Is it possible to have open platforms with better security? At Kroger Digital we are still working through these questions every day but are redesigning our systems with the goals of true operational maturity and security. Discover how we are building capabilities for monitoring, A/B testing, and continuous delivery with Docker Datacenter, plugins, and open source building blocks such as NGiNX, ElasticSearch, and more.
Dev opsec dockerimage_patch_n_lifecyclemanagement_2019kanedafromparis
Lors de cette présentation, nous allons dans un premier temps rappeler la spécificité de docker par rapport à une VM (PID, cgroups, etc) parler du système de layer et de la différence entre images et instances puis nous présenterons succinctement kubernetes.
Ensuite, nous présenterons un processus « standard » de propagation d’une version CI/CD (développement, préproduction, production) à travers les tags docker.
Enfin, nous parlerons des différents composants constituant une application docker (base-image, tooling, librairie, code).
Une fois cette introduction réalisée, nous parlerons du cycle de vie d’une application à travers ses phases de développement, BAU pour mettre en avant que les failles de sécurité en période de développement sont rapidement corrigées par de nouvelles releases, mais pas nécessairement en BAU où les releases sont plus rares. Nous parlerons des diverses solutions (jfrog Xray, clair, …) pour le suivie des automatique des CVE et l’automatisation des mises à jour. Enfin, nous ferons un bref retour d’expérience pour parler des difficultés rencontrées et des propositions d’organisation mises en oeuvre.
Cette présentation bien qu’illustrée par des implémentations techniques et très organisationnel
DCEU 18: From Legacy Mainframe to the Cloud: The Finnish Railways Evolution w...Docker, Inc.
Niko Virtala - Cloud Architect, VR Group (Finnish Railways)
In 2016, Finnish Railways reservation system and many other systems were monolithic applications running on mainframe or local datacenters. They began a containerization project focused on modernizing the reservation system. The invest paid off. Today, they have containerized multiple applications, running both on-premises and on AWS today. That’s allowed Finland’s leading public transport agency to shut down a data center and become a technology innovator. In this session, Finnish Rail will explain the processes and tools they used to build a multi-cloud strategy that lets them take advantage of geo-location and cost advantages to run in AWS, Azure and soon Google Cloud. You’ll learn: - How to implement a successful multi-cloud deployment - What challenges you can expect to face along the way - The processes and tools that are critical part of a successful project.
An Architectural Deep Dive With Kubernetes And Containers Powerpoint Presenta...SlideTeam
Introducing An Architectural Deep Dive With Kubernetes And Containers PowerPoint Presentation Slides. Present the need for the containers in an organization with the help of a readily available PPT slideshow. Discuss container architecture, use cases details to make your presentation elaborative. Showcase the features, architecture, installation roadmap, and the 30-60-90 day plan in Kubernetes with the help of modern-designed PPT infographics. Familiarize your viewers with the various components of Kubernetes with the help of content-ready Kubernetes Docker PPT visuals. Make full use of high-quality icons to make your presentation attention-grabbing and meaningful. Compare and contrast Kubernetes with docker swarm based on various parameters with the help of this attention-grabbing PPT slideshow. Elaborate on Kubelet, Kubectl, and Kubeadm with the help of labeled diagrams. Showcase the networking model of Kubernetes, security measures, and the development process with this easy-to-use docker Architecture PowerPoint template. Therefore, hit the download button now to grab this amazing presentation. https://bit.ly/3vtLeFb
Cloud-Native Operations with Kubernetes and CI/CDVMware Tanzu
Operations practices have historically lagged behind development. Agile and Extreme Programming have become common practice for development teams. In the last decade, the DevOps and SRE movements have brought these concepts to operations, borrowing heavily from Lean principles such as Kanban and Value Stream Mapping. So, how does all of this play out if we’re using Kubernetes?
In this class, Paul Czarkowski, Principal Technologist at Pivotal, will explain how Kubernetes enables a new cloud-native way of operating software. Attend to learn:
● what cloud-native operations are;
● how to build a cloud-native CI/CD stack; and
● how to deploy and upgrade an application from source to production on Kubernetes.
Presenter:
Paul Czarkowski, Principal Technologist, Pivotal Software
(ENT210) Accelerating Business Innovation with DevOps on AWS | AWS re:Invent ...Amazon Web Services
IT must innovate at the speed of market change and many enterprises are realizing that DevOps and cloud computing are a means to this end. Cloud-based DevOps solutions that enforce fine-grain governance policies and automate software releases across the development tool chain can accelerate application time to market while also improving software quality. In this session, attendees learn the following:
- How cloud and DevOps together can significantly accelerate software release cycles, so you can speed business innovation and gain competitive advantage
- Best practices for leveraging CSC Agility Platform, AWS, and a hybrid IT strategy for DevOps
- How to eliminate software release bottlenecks via policy-based automation, orchestration, and governance of application deployment environments.
Sponsored by CSC.
Use Docker to Deliver Cognitive Services Running Cross Platform and Multi Clo...Docker, Inc.
Watson developer cloud delivers Watson Cognitive services as micro services on the cloud that are being used by many IBM Watson customers. The micro services were packaged in ova at the first release. There were some drawbacks in ova deployment in the cloud. We gradually switched to use docker. As a result, the service deployment time and start up time are significantly improved. It also greatly simplified our continuous delivery process since our services run on both Intel and Power platform and we have offerings on our public cloud, dedicated cloud as well as customers’ on premise cloud. With minimal deployment time and quick startup time, Docker makes our dynamic creation of service instance on the fly per customer request possible.
Enterprise Cloud Native is the New NormalQAware GmbH
ContainerDays 2019, Hamburg: Talk by Mario-Leander Reimer (@LeanderReimer, Principal Software Architect at QAware)
=== Please download slides if blurred! ===
Abstract: The world of IT and technology is moving faster than ever before. Cloud native technology and application architecture have been influencing and disrupting the software engineering discipline for the past years and there is no end in sight. But according to Gardner we are currently entering the trough of disillusionment. So does this mean we followed the wrong path and that we should turn back? Hell no!!!
Despite of all disbelievers and trolls: cloud native is neither a failure nor a hype anymore! It will become mainstream. We already see widespread adoption at all our customers. Of course there still is a lot of room for improvement. No doubt about that. Technology, methodology, processes, operations, cloud native architecture and software development need to mature even further to become boring and ready for the enterprise. This is software industrialization in its purest form. And our skills and expertise are required to make this happen.
Learn how you'll be able to quickly develop, host, and scale applications within the AWS cloud with Red Hat's OpenShift. During this session, we walk you thru the straightforward method of deploying and managing your own Linux based application within the AWS cloud and will additionally discuss key use-cases and advantages to container platform configuration, deployment, and administration.
Chugging Our Own "Craft Brew” – HPE’s Journey Towards Containers-as-a-Service...Docker, Inc.
Hewlett Packard Enterprise has a vast IT organization that consists of 15k Dev + Ops professionals, operating in 11 countries, with hundreds of development teams working together on over 1000 projects. Millions of lines of code get changed every day, generating 20,000+ change request in an average year. And now, we’re on a journey to building a Docker environment for this massive organization, to serve the needs of our own multi-billion dollar enterprise. This session showcases our own learnings across multiple phases of our containerization project, with real life experiences from both the Dev and Ops perspectives. We’ll also talk about shared experiences from some of HPE’s customers. “Coding” our infrastructure with Docker, one application image, one deployment command, multiple deployment models – this is an “extreme” tale of how one of the world’s largest enterprises is fully embracing Docker.
Kubo (Cloud Foundry Container Platform): Your Gateway Drug to Cloud-nativecornelia davis
You’re at the Cloud Foundry Summit, which means you are by definition a cloud-native enthusiast. There’s no question that building apps in this architectural style will produce resilient, scalable software in an agile manner, and allow you to operate it far more efficiently than you’ve been able to in the past. But you’ve also got a whole lot of software in your company’s portfolio that isn’t there yet. Do you have to resign yourself to the pains of managing those applications the old way until you can finally refactor them to be cloud-native? Kubo to the rescue.
You can run legacy applications on Kubo without significant refactoring – pure and simple. As an added bonus, it allows you to satisfy the CIO mandate of running containers (check). But it’s far more than that – running those workloads on Kubo offers advantages over running them on traditional virtualized infrastructure. This session covers those advantages –resource consolidation, health management, multi-cloud and more. It will also present the abstractions in Kubernetes, things like pods and stateful sets, that support running legacy workloads in the cloud environments that are far more distributed and changing than they have been in the past. It’s a first step to cloud-native.
Building Developer Pipelines with PKS, Harbor, Clair, and ConcourseVMware Tanzu
SpringOne Platform 2017
Thomas Kraus, VMware; Merlin Glynn, VMware
Today's developer needs to rapidly build and deploy code in a consistent, predictable, and declarative manner. This session will illustrate how companies can leverage PKS, Kubernetes, Harbor, Clair, and Concourse to achieve these goals. The session will provide a solution overview for developing, building, and deploying applications using Container technologies from VMware and Pivotal. A brief review of each of the technologies being discussed will be provided. The session will include a proposed end to end solution leveraging all of these technologies to provide a better developer experience. The session will conclude with a demonstration illustrating a development workflow leveraging these technologies to initially develop and then update an Application running on PKS and Kubernetes.
¿Qué es Azure DevOps? Vamos a ver un ejemplo de ciclo completo de despliegue con Azure DevOps que nos permita, durante el resto de sesiones, integrar los conceptos que veremos en ellas.
En esta sesión os explicaremos que son los Azure Pipelines, YAML, Releases y el ciclo completo de compilación-testing-despliegue de una aplicación mediante estos pipelines
Keeping your Kubernetes Cluster SecureGene Gotimer
From NOVA Cloud and Software Engineering Group meetup, Feb. 17, 2021 https://youtu.be/a5uPm1mPLKQ.
Hardening a Kubernetes cluster happens at different levels. We have to examine the nodes where Kubernetes is running. We want to secure the Kubernetes objects and workloads and review the files we used to create them. And we need to look for vulnerabilities in the containers we are using. Gene will show you some open-source tools that can find issues and vulnerabilities at each layer. All of them can be used in a pipeline to build your Kubernetes cluster safely and keep it secure.
Gene Gotimer is the meetup organizer and a DevSecOps Senior Engineer at Steampunk, focusing on agile processes, secure development practices, and automation. Gene feels strongly that repeatability, quality, and security are all strongly intertwined; each depends on the other two, making agile and DevSecOps that much more crucial to software development.
DCSF 19 Microservices API: Routing Across Any InfrastructureDocker, Inc.
Alex Hokanson + Brett Inman, Docker
Microservice architectures can be difficult to implement. Specifically how to route to the a service correctly and ensure that traffic is spread across all instances of that service. What happens in a cloud environment where it is normal to lose and gain service instances as a part of daily operations? How do you configure something to be able to consistently route to your service when you don’t even know where your service is running!? At Docker, we developed our own highly available and automated API server on top of HAProxy with deep integration with Consul. Our API server acts as a service discovery and load balancing service to ensure availability in a highly dynamic environment. In addition to running such a complex application, we need to support thousands of requests per second while being able to monitor every request that comes through--that is no small feat!
In addition to running a highly available API server, we also recently migrated it from running natively on Ubuntu 14.04 to run all components inside of containers by using Kubernetes with Docker Enterprise. With the containerization journey came some benefits along with new challenges that were not foreseen.
Pivotal Container Service (PKS) at SF Cloud Foundry Meetupcornelia davis
Overview of Pivotal Container Service (PKS), built on the open source Cloud Foundry Container Runtime (CFCR). Covers what Kubernetes is, how PKS presents a complete platform that includes Kubernetes and much more, and key cloud principles.
Presented at the San Francisco-Bay Area Cloud Foundry meetup.
Ed Seymour
Containerisation Lead – Red Hat
Ed has over 20 years experience working in software development and IT automation. With a career that started with a small software start-up, working efficiently and with agility was a necessity, and through his experience working at a global IT services company, gained valuable experience in promoting and effecting organisational change, adoption of agile methods, and automation of the software development life-cycle. At Red Hat, Ed’s role has focused on enabling customers as they embrace new organisational behaviours and structures, for example DevOps, and developing new IT services through adoption of emerging technologies, such as Cloud Management, OpenStack; Ed specialises in solutions based on containers through Docker, Kubernetes and OpenShift.
Learning the Alphabet: A/B, CD and [E-Z] in the Docker Datacenter by Brett Ti...Docker, Inc.
What is the right balance between moving fast, innovating, experimenting with new technology, and protecting the personal data of our customers and interests of our stakeholders? How can we safely try new ideas in production without risking costly downtime? Does the utopia where developers are free from lock-in and operators enjoy the calm of a steadily running system exist in the real world? Is it possible to have open platforms with better security? At Kroger Digital we are still working through these questions every day but are redesigning our systems with the goals of true operational maturity and security. Discover how we are building capabilities for monitoring, A/B testing, and continuous delivery with Docker Datacenter, plugins, and open source building blocks such as NGiNX, ElasticSearch, and more.
Dev opsec dockerimage_patch_n_lifecyclemanagement_2019kanedafromparis
Lors de cette présentation, nous allons dans un premier temps rappeler la spécificité de docker par rapport à une VM (PID, cgroups, etc) parler du système de layer et de la différence entre images et instances puis nous présenterons succinctement kubernetes.
Ensuite, nous présenterons un processus « standard » de propagation d’une version CI/CD (développement, préproduction, production) à travers les tags docker.
Enfin, nous parlerons des différents composants constituant une application docker (base-image, tooling, librairie, code).
Une fois cette introduction réalisée, nous parlerons du cycle de vie d’une application à travers ses phases de développement, BAU pour mettre en avant que les failles de sécurité en période de développement sont rapidement corrigées par de nouvelles releases, mais pas nécessairement en BAU où les releases sont plus rares. Nous parlerons des diverses solutions (jfrog Xray, clair, …) pour le suivie des automatique des CVE et l’automatisation des mises à jour. Enfin, nous ferons un bref retour d’expérience pour parler des difficultés rencontrées et des propositions d’organisation mises en oeuvre.
Cette présentation bien qu’illustrée par des implémentations techniques et très organisationnel
DCEU 18: From Legacy Mainframe to the Cloud: The Finnish Railways Evolution w...Docker, Inc.
Niko Virtala - Cloud Architect, VR Group (Finnish Railways)
In 2016, Finnish Railways reservation system and many other systems were monolithic applications running on mainframe or local datacenters. They began a containerization project focused on modernizing the reservation system. The invest paid off. Today, they have containerized multiple applications, running both on-premises and on AWS today. That’s allowed Finland’s leading public transport agency to shut down a data center and become a technology innovator. In this session, Finnish Rail will explain the processes and tools they used to build a multi-cloud strategy that lets them take advantage of geo-location and cost advantages to run in AWS, Azure and soon Google Cloud. You’ll learn: - How to implement a successful multi-cloud deployment - What challenges you can expect to face along the way - The processes and tools that are critical part of a successful project.
An Architectural Deep Dive With Kubernetes And Containers Powerpoint Presenta...SlideTeam
Introducing An Architectural Deep Dive With Kubernetes And Containers PowerPoint Presentation Slides. Present the need for the containers in an organization with the help of a readily available PPT slideshow. Discuss container architecture, use cases details to make your presentation elaborative. Showcase the features, architecture, installation roadmap, and the 30-60-90 day plan in Kubernetes with the help of modern-designed PPT infographics. Familiarize your viewers with the various components of Kubernetes with the help of content-ready Kubernetes Docker PPT visuals. Make full use of high-quality icons to make your presentation attention-grabbing and meaningful. Compare and contrast Kubernetes with docker swarm based on various parameters with the help of this attention-grabbing PPT slideshow. Elaborate on Kubelet, Kubectl, and Kubeadm with the help of labeled diagrams. Showcase the networking model of Kubernetes, security measures, and the development process with this easy-to-use docker Architecture PowerPoint template. Therefore, hit the download button now to grab this amazing presentation. https://bit.ly/3vtLeFb
Cloud-Native Operations with Kubernetes and CI/CDVMware Tanzu
Operations practices have historically lagged behind development. Agile and Extreme Programming have become common practice for development teams. In the last decade, the DevOps and SRE movements have brought these concepts to operations, borrowing heavily from Lean principles such as Kanban and Value Stream Mapping. So, how does all of this play out if we’re using Kubernetes?
In this class, Paul Czarkowski, Principal Technologist at Pivotal, will explain how Kubernetes enables a new cloud-native way of operating software. Attend to learn:
● what cloud-native operations are;
● how to build a cloud-native CI/CD stack; and
● how to deploy and upgrade an application from source to production on Kubernetes.
Presenter:
Paul Czarkowski, Principal Technologist, Pivotal Software
(ENT210) Accelerating Business Innovation with DevOps on AWS | AWS re:Invent ...Amazon Web Services
IT must innovate at the speed of market change and many enterprises are realizing that DevOps and cloud computing are a means to this end. Cloud-based DevOps solutions that enforce fine-grain governance policies and automate software releases across the development tool chain can accelerate application time to market while also improving software quality. In this session, attendees learn the following:
- How cloud and DevOps together can significantly accelerate software release cycles, so you can speed business innovation and gain competitive advantage
- Best practices for leveraging CSC Agility Platform, AWS, and a hybrid IT strategy for DevOps
- How to eliminate software release bottlenecks via policy-based automation, orchestration, and governance of application deployment environments.
Sponsored by CSC.
Continuous Integration and Continuous Delivery on AzureCitiusTech
Healthcare organizations are increasingly turning to cloud computing to address business and patient needs of their rapidly evolving environment and modernize legacy applications. With Azure DevOps, healthcare IT teams can drive innovation, build new products and modernize their application environment.
Enterprise DevOps is different then DevOps in startups and smaller companies. This session how AWS/CSC address this. How AWS IaaS level automation via CloudFormation, UserData, Console, APIS and some PaaS OpsWorks/Beanstalk is complimented by CSC Agility Platform. CSC Agility adds application compliance and security to the AWS infrastructure compliance and security. CSC Agility allows for the creation of architecture blueprints for predefined application offerings.
Enabling multicloud in the enterprise with DevSecOpsJosh Boyd
Core federal agencies are using multiple cloud providers to avoid vendor lock-in and optimize their workloads' infrastructure. Taking advantage of each cloud provider's strengths comes with some challenges: multicloud security and compliance, inventory tracking, resource utilization, and software delivery automation.
In this session, you'll see how Red Hat CloudForms and Red Hat OpenShift Container Platform, paired with Booz Allen’s Solutions Delivery Platform, addresses these challenges and brings governance to your DevOps pipeline and multicloud environment.
Agile and continuous delivery – How IBM Watson Workspace is builtVincent Burckhardt
Journey and transformations that we have been taking at IBM to implement Cloud Native application. Covers culture, architecture and pipeline changes. This presentation was given at IBM Connect 2017 in San Francisco in Feb 2017.
IBM’s Steve Barbieri and Chad Holliday show how enterprise customers are using blueprints to develop their infrastructure and application layers across different cloud environments - helping them "make the move to cloud" in 2017.
IBM's DevOps solution for CLM includes a full lifecycle suite of products for managing continuous business planning, Agile project management, continuous build, source code management, test management, and continuous application monitoring.
The importance of building up open technology’s model citizen: a user storyAngel Diaz
Come join Angel Diaz (Vice President of Cloud Architecture & Technology at IBM) and his guest Semyon Gambrian (Director of Cloud Services Group at Kaiser Permanente) for a forwarding-looking presentation on Cloud Foundry in the context of its initial and more recent achievements, including a story of one team's use of Cloud Foundry in its evolving, industry-specific cloud integration strategy.
https://cfsummit2016.sched.org/speaker/aldiaz
Devops transformation in the Rational Collaborative Lifecycle OrganizationRobbie Minshall
Set of slides providing a summary of our DevOps Transformation efforts within the Rational Collaborative Lifecycle Management organization. Discusses the use of IBM Urbancode Deploy, IBM Pure Application System and adoption of DevOps methodologies.
DevOps and Application Delivery for Hybrid Cloud - DevOpsSummit sessionSanjeev Sharma
The world is Hybrid. Organizations adopting DevOps are building Delivery Pipelines leveraging environments that are complex - spread across hybrid cloud and physical environments. Adopting DevOps hence required Application Delivery Automation that can deploy applications across these Hybrid Environments.
Pivotal korea transformation_strategy_seminar_enterprise_dev_ops_20160630_v1.0minseok kim
devops has been popular in IT ever since emerging cloud technology. to make IT more agile, we need to keep setup goal and measure performance with adopting new cloud native tools.
Webinar: How and Why to Containerize Your Legacy ApplicationsStorage Switzerland
Listen as experts from Storage Switzerland and HyperGrid discuss new alternatives to bi-modal IT that allow organizations to containerize legacy applications to create a completely agile data center. In this on demand webinar you will learn:
* What are Containers
* Why Should You Containerize Legacy Apps
* What are the Challenges of Moving Legacy Apps To Containers
* How to Overcome Container Challenges
AWS Partner: Grindr: Aggregate, Analyze, and Act on 900M Daily API CallsAmazon Web Services
Monitoring and making sense of infrastructure data can be an arduous process. Managing a volume of API calls from more than one million active users every minute presents an even more complex and demanding challenge. Using Amazon Web Services (AWS) and Datadog, Grindr overcame a series of infrastructure challenges by both implementing and managing highly scalable, high availability, and top performing infrastructure, as well as aggregating, analyzing, and acting on key infrastructure data KPIs.
Similar to Cloud-native Application Lifecycle Management (20)
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Top 7 Unique WhatsApp API Benefits | Saudi ArabiaYara Milbes
Discover the transformative power of the WhatsApp API in our latest SlideShare presentation, "Top 7 Unique WhatsApp API Benefits." In today's fast-paced digital era, effective communication is crucial for both personal and professional success. Whether you're a small business looking to enhance customer interactions or an individual seeking seamless communication with loved ones, the WhatsApp API offers robust capabilities that can significantly elevate your experience.
In this presentation, we delve into the top 7 distinctive benefits of the WhatsApp API, provided by the leading WhatsApp API service provider in Saudi Arabia. Learn how to streamline customer support, automate notifications, leverage rich media messaging, run scalable marketing campaigns, integrate secure payments, synchronize with CRM systems, and ensure enhanced security and privacy.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
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AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
Cloud-native Application Lifecycle Management
1. Cloud-native ALM
What every business should plan
for
June 7, 2016
Neil Gehani, Sr. Product Manager, @GehaniNeil
2. Forward-looking statements
This is a rolling (up to three year) roadmap and is subject to change without notice.
This document contains forward looking statements regarding future operations, product
development, product capabilities and availability dates. This information is subject to
substantial uncertainties and is subject to change at any time without prior notification.
Statements contained in this document concerning these matters only reflect Hewlett
Packard Enterprise's predictions and / or expectations as of the date of this document and
actual results and future plans of Hewlett Packard Enterprise may differ significantly as a
result of, among other things, changes in product strategy resulting from technological,
internal corporate, market and other changes. This is not a commitment to deliver any
material, code or functionality and should not be relied upon in making purchasing
decisions.
3. Hewlett Packard Enterprise confidential information
This is a rolling (up to three year) roadmap and is subject to change without notice.
This Roadmap contains Hewlett Packard Enterprise Confidential Information.
If you have a valid Confidential Disclosure Agreement with Hewlett Packard Enterprise,
disclosure of the Roadmap is subject to that CDA. If not, it is subject to the following
terms: for a period of three years after the date of disclosure, you may use the Roadmap
solely for the purpose of evaluating purchase decisions from HP and use a reasonable
standard of care to prevent disclosures. You will not disclose the contents of the
Roadmap to any third party unless it becomes publically known, rightfully received by you
from a third party without duty of confidentiality, or disclosed with Hewlett Packard
Enterprise’s prior written approval.
7. Cloud-native Taxonomy
– Applications are “services” = business value
– Cloud-native is a design pattern
– Microservices is an architecture
– Containers are portable. “If it works on my machine, it will run in production” is real
– Platform to deploy “services” (PaaS)
– Infrastructure to run “services (IaaS)
– DevOps is a practice
7
8. Balancing Time Value of Money
– Time value of delivery
– Time value of shipping
8
Source: Brandon Chu - Time Value of Shipping
9. Microservices - Reducing cycle time minimizes risk, improves quality,
speed
9
VS.
Faster release cycle Less code to validate Easier to schedule
Longer test cycles
Less predictability
Unable to adapt to
change
10. Trends enabling cloud-native
10
In the past year alone, the project has experienced a 183% increase in contributors, 515% growth in projects
on GitHub, and an astounding 18,082% spike in container downloads.
- June 2015 DockerCon
11. Cloud applications
From cloud deployed to cloud-native
Automation
Meeting economy, scaling, resiliency and velocity requirements requires standardization
and automation
Cloud Deployed
Cloud Aware
Cloud Native
13. Modern Teams - Personas and roles
13
Persona Responsibilities and roles
Collaborate in realtime through “chatops” integrations. “Bots” are members of the
team
Product Manager
Define, prioritize, measure
Create and track KPIs with analytics data coming back from releases
Define and execute A/B tests and automatically roll back failed experiments
Control feature toggles (mobile-enabled) and measure impact
Define problems, not features; write stories
Test Engineeris (SEiT, QE)
Risk mitigation in production (data-driven)
driven)
Simulate failure to test application resiliency and degradation behavior
Identify code coverage issues based on production analytics
Create scaling simulation tests and store test assets with code
Chaos testing 24x7x365
Test configuration as code, automatically triggered of any CI/CI pipeline
Development
Build, test, deploy
Track user story connection to commit, build, test and deployment artifacts
Identify vulnerable code inline and at each commit
Trigger automatic testing at any point in the build to deploy cycle and in production
Trigger automatic provisioning and teardown of environments (PaaS enables)
Operations (SRE)
Scalable infrastructure for automated
provisioning, deploys + capacity utilization
utilization and planning
Blessing base containers; governance and security
Build a resilient infrastructure for any developer to deploy
Enable a pub/sub infrastructure for data collection
Provide a standardized infrastructure for audit and compliance logs from chatops
(SoT)
14. How software will be consumed
– Base blocks
– “Extension” blocks
– Disposable
Blocks Buy the blocks and assemble yourself.
15. How software will be buit
– On-demand
– Customized solutions
– REST API
– Web Hooks
Microservices – Assemble as needed to add more
value to create your own solution
Scratch Programming Language: MIT
16. Business process
Teams should be built around business value
16
Microservices
Business
activity
Conway's Law Organizations which design systems [...] are
constrained to produce designs which are copies of the
communication structures of these organizations
17. This is a bad idea
Microservice A Microservice B
API team
Business logic team
Data team
Microservice C
18. Best practice
Follow Conway’s Law
Data team
Business logic team
API team
Horizontal teams
…
Team A
data
Business
logic
API
Microservice A
Team B
data
Business
logic
API
Microservice B
Align teams to services
23. HPE Confidential
Cloud-native Application Lifecycle Management Challenges
–Plan (Track & Analyze)
– For fast cycle times - deploys n x per day
– 100’s of thousands of services being built, tested, deployed, and running
–Build - automated
– Programmatically trigger builds (containers) using any CI/CD
– Multiple, flexible, parallel pipelines
– Test - automated
– Automated - 24x7x365
– Contract (e.g API testing)
– Resiliency (e.g. chaos)
– Behavior (e.g. costs - containers, instances, infrastructure)
–Run
– Automated deployment using Helion PaaS to any IaaS (AWS, Azure, vSphere, OpenStack)
24. Lifecycle Management Suite - The Revolutionary Evolution
This is a rolling (up to 3 year) roadmap and is subject to change without notice
Unified Lifecycle Suite
Plan Build Test Run
Analyze
Unified Enterprise Platform
Enterprise Agile to DevOps
SCM CI
Embedded or Connected
Deploy
Lifecycle Suite
Predictive ALM
Big ITM Data
Reflect Predict
Accelerat
e
Actionable Insights
25. “Speed wins in the marketplace” - Adrian Cockcroft, Netflix, Battery
Ventures
–Deliver value
faster
to
–Capture value
faster
25
27. Application Lifecycle Management on multi-cloud platform
Universal Control Plane
Code Engine
ConcourseCI
vSphere
Cloud
Foundry
Universal
Service
Broker
Service catalog
ADM Services
AWSOpenStack
Web console
ALM Octane Predictive ALM Cloud-native ALM
Application Lifecycle Management
Helion Stackato (PaaS)
Future
Kubernetes
ADM
Microservices
Docker Container Platform
IaaS
28. Resources
– 12-Factor Apps
– Microservices – Martin Fowler
– Testing Strategies in Microservices Architecture
– ADM open source contributions for Cloud-native apps built as microservices packaged in
cotnainers
– “Pumba” - Chaos testing inspired by Netflix simian army - open sourced
– Container integration testing framework
–Published in docker’s weekly newsletter
– Containerized Docker Bench security testing - open sourced
– How to reach us
– Neil Gehani (PM) - @GehaniNeil
28
Editor's Notes
The rapid pace of change is giving way to new ways to deliver value. The old way of tightly coupled applications that required a large web app a larger web server and a large database are dissappearing rapidly. Smaller services are loosely couple with well defined API (contracts). The teams developing these new services can deliver value much faster. The need for having to pre-allocate large VM’s for a 1 day event no longer works. Notice the crash of Best buy and others on Black Friday.
Accelerating to a digital enterprise requires companies to become software defined businesses. The disruptions are occurring in just about every industry
Craigslist to newspaper classfieds
Amazon to retail
Uber/Lyft to transportation
Paypal/Venmo/Betterment/Wealthfront to financial
Metromile to Insurance
….
If you are not building a software defined business, you are going to loose to one. – A CIO of an airline company said that they are a s/w company with wings.
““Open source software (OSS) is changing the face of the IT landscape. In fact, IDC analyst Al Hilwa went so far as to state that OSS is poised to “eat the world” in a recent article.”
Software has become disposable. Is cheap - expensive to produce, Value delivered is measured in users and usage Revenue is value captured
Is it better to deliver value 2x a year or every day? Do we want to deliver value 2x a year or 2x a day? It takes the same total development regardless of when you deliver. Delivering incremental value faster enables the capturing of value faster. Delivering code to production is different that releasing it to be consumed. Without shipping everyday, product and business owners don’t have the flexibiity to package up the value and make it capturable.
In order for you to move, you have to make it real by
Speed is the name of the game. To capture the revenue faster, business value must be delivered faster. Organizations have to feel the need for speed or get left behind by a whole bunch of tech startups. Software has a lower barrier to entry
Cloud-native - Resilient, Cost efficient use of resources (auto-scales), Self-healing, Self-provisioning
Microservices is an Architecture like Lego blocks
Delivers speed, Disposable, Independent empowered teams, language agnostic, flexible talent
Language agnostic – people bring their own stack
Containers are Portable
Software delivery package, runs anywhere, environment agnostic
“If it works on my machine, it will run in production” is real
Platform is the deployment and delivery vehicle for services (PaaS)
Enables Developers to build, test, deploy a service - don’t care how
IT maintains and manages the Platform - Infrastructure agnostic (multi-IaaS)
Never a black friday moment, never have to plan and pre-allocate resources for a spike. IT capacity planning and resource availability and cost become more important to manage rather than apps
DevOps is the how and that can change at any time. e.g there are no DevOps engineers at Google, LinkedIn, Facebook - They are called SRE or Site/Systems Reliability Engineers - DevOps engineers live in Operations
DevOps is the practice of delivering value at speed
US Depart of Labor - The top 5 jobs for the future are #1 Software Engineers and #5 Product Managers
Why should we capture value faster?
If software is value, then do we want to deliver value 2x a year or 2x a day? It takes the same total development regardless of when you ship. Delivering incremental value faster enables the capturing of value faster.
Time Value of Money - A dollar now is worth more than a dollar later
So, why is smaller better?
How big should a microservice be? No bigger than my head or 1 screen – The single responsibility principle
Cloud Deployed
Legacy applications that are virtualized and deployed within a VM or physical server located in the cloud. The cloud is used as a fast provisioning mechanism for virtualized or physical environment. The application does not take advantage of any of the cloud specific features.
Cloud Aware
An application that is developed using SOA principles and that has the capability, depending on the cloud it is running on, to take advantage of cloud functionality such as load balancing, scale up/down.
Application is aware of the environment in which it runs
Assumes resiliency within the environment
Application is stateful
Cloud Native
An application that is developed and deployed within an a PaaS environment and relies on that environment to manage its operations within the cloud it is running on.
Separation of application from the data
Application is state less and data can be state full
Application configuration must reside in the environment
Declare and isolation of dependencies that allows application to take advantage of Containers
Assumes resiliency within the application (assumes resource can disappear at any time)
Horizontal scaling - out vs up
Applications must run economically
No massive build out prior to launch – consume on demand instead
Applications cannot be unavailable
Must scale to demand
Must degrade gracefully when infrastructure fails
Ease of Feature creation and deployment is paramount
Fast feature to market fit wins markets
Software is built as microservices are like building a bunch of lego blcoks that easily connect to each other. If a block breaks or something new is desired, just replace the block with a new one in production. Because they are small, they are disposable for a new one.
CS50 is becoming a go to class for computer science and business students as well. One of the best CS classes.
Microservices architecture style benefits:
Independent deployability
Language
Platform and Technology independence for different components
Distinct axis of scalability
Increased architectural flexibility - enables flexible slutions
Commonly – Microservices are 100’s of lines but can be thousands – no hard and fast rule - http://bovon.org/archives/350 (a screenful or size of your head)
Separation of concerns
Single respnsibility principle
----- Meeting Notes (12/1/15 07:53) -----
talk about cost here. cost of testing = testing service + dependent services instead of full regression.
cost of conways' law allows teams to stay small and focused
New vs migrate vs extend
New vs migrate vs extend
A translator micro service – All it does is translate the communication of requests between legacy and modern REST API
A Façade service(s) – Handles one business capability needed from the legacy – each functionality is a separate façade service in the legacy’s domain model
The adapter service is requesting all the things that our new features need from the monolith but doing it via REST and also written in as a microservice in a modern tech stack (ie not in COBOL) – Then hands those requests to the translator which translates them to the Facades(s) in a protocol they understand.
White mask the words.
Talk about Chaos Monkey vs Functional test - randomly shuts off one of the systems. Create chaos to see how your application reacts. Janitor monkey monitors unused resources on AWS and cleans it up. Conformity monkey applies best practice rules to your cluster (security, etc) - open source used by Netflix - marks and notifies (uses email but Slack will be better) of non-confirming instances or auto scaling group.
“Open source software (OSS) is changing the face of the IT landscape. In fact, IDC analyst Al Hilwa went so far as to state that OSS is poised to “eat the world” in a recent article.”
Software us a declining asset if kept too long
Is cheap - expensive to produce
Value delivered is measured in users and usage
Revenue is value captured
If software is value, then do we want to deliver value 2x a year or 2x a day? It takes the same total development regardless of when you ship. Delivering incremental value faster enables the capturing of value faster.
Regardless if it is built as micro services or in containers
Working from the bottom:
The Universal Control Plane provides lifecycle management for our platform components (code engine, cloud foundry, and our services ecosystem)
The Platform services include the code engine (which enables the easy creation of CICD pipelines), our runtimes (CF, CaaS), and our service catalog and hosted services
The Developer experience layer is meant to unify the management of applications running across multiple clusters across clouds