Find out from Rob Stroud, CPO of XebiaLabs and former DevOps Analyst at Forrester Research, where containers fall short and how to bridge the gap between the promise of containers and the realities of complex enterprise application delivery.
This document discusses Docker technology in cloud computing. It defines cloud computing and containerization using Docker. Docker is an open-source platform that allows developers to package applications with dependencies into standardized units called containers that can run on any infrastructure. The key components of Docker include images, containers, registries, and a daemon. Containers offer benefits over virtual machines like faster deployment, portability, and scalability. The document also discusses applications of Docker in cloud platforms and public registries like Docker Hub.
Docker is a system for running applications in lightweight containers that can be deployed across machines. It allows developers to package applications with all dependencies into standardized units for software development. Docker eliminates inconsistencies in environments and allows applications to be easily deployed on virtual machines, physical servers, public clouds, private clouds, and developer laptops through the use of containers.
Cloud Native Application @ VMUG.IT 20150529VMUG IT
VMware and Pivotal are working together to provide an end-to-end solution for developing and running cloud-native applications. Key components of their solution include Photon OS, Lightwave for identity and access management, and Lattice for deploying and managing container clusters. Photon is a container-optimized Linux distribution designed to run Docker containers on vSphere. Lightwave provides open source identity and authentication capabilities. Lattice combines scheduling, routing, and logging from Cloud Foundry to manage clustered container applications. Together these provide an integrated platform for developing, securing, and managing cloud-native applications from development to production.
This document discusses transitioning a Java microservices architecture to Docker containers. It begins with an overview of microservices and Docker containers, explaining their benefits including independence, scalability, and fault isolation. It then provides steps for deploying Java microservices on Docker, including building Docker images for each service and defining multi-container applications using Docker Compose. Finally, it uses an example of transitioning outdated .NET web services to a Dockerized Java microservice architecture providing Bitcoin block height updates.
This was the deck I presented for a meetup organized by Software Circus.
Docker Datacenter (DDC) delivers Containers as a Service (CaaS) for enterprises to build, ship and run any application anywhere. With an integrated technology platform that spans across the application lifecycle with tooling and support for both developers and IT operations, Docker Datacenter delivers a secure software supply chain at enterprise scale. Join this talk to understand how DDC delivers CaaS, and hear examples of customer who have adopted DDC and their journey with it. A live demo will conclude the presentation.
Full video here:
https://www.youtube.com/watch?v=qboZCZfb0mc
This document provides an introduction to Docker. It discusses how the IT landscape is changing with cloud, apps, and DevOps, creating a tug of war between developers and IT operations. Organizations must deal with diverse technologies and organizations. Docker and containers provide a solution by allowing applications to be packaged with all their dependencies and run virtually isolated on a shared kernel. This improves speed, portability, and efficiency compared to virtual machines. The document introduces Docker concepts like images, containers, engines, registries, and control planes. It describes how Docker Enterprise Edition can help align organizations with initiatives around app modernization, cloud strategies, and DevOps.
This document discusses Docker technology in cloud computing. It defines cloud computing and containerization using Docker. Docker is an open-source platform that allows developers to package applications with dependencies into standardized units called containers that can run on any infrastructure. The key components of Docker include images, containers, registries, and a daemon. Containers offer benefits over virtual machines like faster deployment, portability, and scalability. The document also discusses applications of Docker in cloud platforms and public registries like Docker Hub.
Docker is a system for running applications in lightweight containers that can be deployed across machines. It allows developers to package applications with all dependencies into standardized units for software development. Docker eliminates inconsistencies in environments and allows applications to be easily deployed on virtual machines, physical servers, public clouds, private clouds, and developer laptops through the use of containers.
Cloud Native Application @ VMUG.IT 20150529VMUG IT
VMware and Pivotal are working together to provide an end-to-end solution for developing and running cloud-native applications. Key components of their solution include Photon OS, Lightwave for identity and access management, and Lattice for deploying and managing container clusters. Photon is a container-optimized Linux distribution designed to run Docker containers on vSphere. Lightwave provides open source identity and authentication capabilities. Lattice combines scheduling, routing, and logging from Cloud Foundry to manage clustered container applications. Together these provide an integrated platform for developing, securing, and managing cloud-native applications from development to production.
This document discusses transitioning a Java microservices architecture to Docker containers. It begins with an overview of microservices and Docker containers, explaining their benefits including independence, scalability, and fault isolation. It then provides steps for deploying Java microservices on Docker, including building Docker images for each service and defining multi-container applications using Docker Compose. Finally, it uses an example of transitioning outdated .NET web services to a Dockerized Java microservice architecture providing Bitcoin block height updates.
This was the deck I presented for a meetup organized by Software Circus.
Docker Datacenter (DDC) delivers Containers as a Service (CaaS) for enterprises to build, ship and run any application anywhere. With an integrated technology platform that spans across the application lifecycle with tooling and support for both developers and IT operations, Docker Datacenter delivers a secure software supply chain at enterprise scale. Join this talk to understand how DDC delivers CaaS, and hear examples of customer who have adopted DDC and their journey with it. A live demo will conclude the presentation.
Full video here:
https://www.youtube.com/watch?v=qboZCZfb0mc
This document provides an introduction to Docker. It discusses how the IT landscape is changing with cloud, apps, and DevOps, creating a tug of war between developers and IT operations. Organizations must deal with diverse technologies and organizations. Docker and containers provide a solution by allowing applications to be packaged with all their dependencies and run virtually isolated on a shared kernel. This improves speed, portability, and efficiency compared to virtual machines. The document introduces Docker concepts like images, containers, engines, registries, and control planes. It describes how Docker Enterprise Edition can help align organizations with initiatives around app modernization, cloud strategies, and DevOps.
Infinit: Modern Storage Platform for Container EnvironmentsDocker, Inc.
Providing state to applications in Docker requires a backend storage component that is both scalable and resilient in order to cope with a variety of use cases and failure scenarios. The Infinit Storage Platform has been designed to provide Docker applications with a set of interfaces (block, file and object) allowing for different tradeoffs. This talk will go through the design principles behind Infinit and demonstrate how the platform can be used to deploy a storage infrastructure through Docker containers in a few command lines.
Docker concepts and microservices architecture are discussed. Key points include:
- Microservices architecture involves breaking applications into small, independent services that communicate over well-defined APIs. Each service runs in its own process and communicates through lightweight mechanisms like REST/HTTP.
- Docker allows packaging and running applications securely isolated in lightweight containers from their dependencies and libraries. Docker images are used to launch containers which appear as isolated Linux systems running on the host.
- Common Docker commands demonstrated include pulling public images, running interactive containers, building custom images with Dockerfiles, and publishing images to Docker Hub registry.
Mit Urs Stephan Alder (CEO Kybernetika), Michael Abmayer (Senior Consultant Opvizor) und Dennis Zimmer (CEO Opvizor) präsentierten gleich 3 hochkarätige Referenten an der vergangenen VMware@Night bei Digicomp. Sie zeigten zusammen auf, welche Auswirkungen Container in der Virtualisierung auf den täglichen Betrieb sowie die Performance- und Kapazitätsplanung haben.
Vor allem Docker ist derzeit in aller Munde und die bekannteste und meist genutzte Container-Technologie. Container werden vielfach in virtuellen Maschinen betrieben und stellen eine neue Herausforderung für VMware- Administratoren, aber auch IT-Manager dar. Gewährleistung und Überwachung der Performance sowie eine möglichst genaue Kapazitätsplanung sind Herausforderungen, denen man sich zügig stellen muss.
Nach einer kurzen Einführung in die Thematik der Container, in der auch die Unterschiede zur Virtualisierung aufgezeigt wurde, widmeten sich die Referenten dem Umgang mit Conteinern am Beispiel von Docker mit VMware vSphere. Zum Abschluss wurde die Performanceüberwachung und Kapazitätsplanung behandelt.
This document provides an introduction and overview of OpenStack, its components, and Compute infrastructure (Nova). OpenStack is an open source cloud computing platform that allows enterprises to setup and run cloud infrastructure. It consists of three main services - Compute (Nova), Storage (Swift), and Imaging (Glance). Nova is the underlying fabric controller that manages compute resources, networking, authorization and scalability. It exposes its capabilities through an EC2 compatible API.
Hypervisor "versus" Linux Containers!
Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.
Less hardware, less pain and more scalability in production, on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above. "Do more with less " and this is all that matters!
Automation of server and applications deployments never had been so easy and fast that ever. Also brings produtivity to a new level, in the DataCenters and Cloud Environments.
Francisco Gonçalves (Dec2013
( francis.goncalves@gmail.com )
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.
This is my presentation at DevNexus 2017 in Atlanta.
Containers are a default choice for packaging and deploying Microservices.
You will understand why containers are a natural fit for microservices, the value a container platform brings to the table, how to structure your microservices running as containers on an enterprise ready Kubernetes platform aka, OpenShift. We will also look at a sample microservices application packaged and running as containers on this platform.
This document provides an overview of service meshes and Istio. It defines what a service mesh is and describes some of its key capabilities like service discovery, load balancing, and observability. It then discusses Istio and how it works with Kubernetes as a service mesh. Istio's architecture is explained, including its control plane components like Pilot and data plane component Envoy. Lastly, it covers Istio deployment models and provides a case study on mesh federation.
Docker provides security for containerized applications using Linux kernel features like namespaces and cgroups to isolate processes and limit resource usage. The Docker daemon manages these Linux security mechanisms to build secure containers. Docker images can also be scanned for vulnerabilities and signed with content trust to ensure only approved container images are deployed in production.
Docker provides a platform for building, shipping, and running distributed applications across environments using containers. It allows developers to quickly develop, deploy and scale applications. Docker DataCenter delivers Docker capabilities as a service and provides a unified control plane for both developers and IT operations to standardize, secure and manage containerized applications. It enables organizations to adopt modern practices like microservices, continuous integration/deployment and hybrid cloud through portable containers.
Docker for the Enterprise with Containers as a Service by Banjot ChananaDocker, Inc.
Banjot Chanana is Senior Director of Product Management at Docker bringing solutions for enterprises to build, ship and run Docker applications on-premise or in their virtual private clouds.
Microservices involve breaking up monolithic applications into smaller, independent services that work together. This allows for increased efficiency through scaling individual services as needed, easier updates by updating smaller code bases, and improved stability if one service fails. Containers are well-suited for microservices due to their lightweight nature and ability to easily move workloads.
By popular demand the presentation that Ed Hoppitt delivered opening Cloud Camp London on 30th April 2015. This deck is a simple explanation of Container technology borrowing some great analogies from the shipping industry that anyone can get their head around. It also then deconstructs the elements that go in to making VMware's Cloud Native Apps announcements around Project Photon (Ultra Lightweight LINUX Distribution for running containers) and Project Lightwave (Identify and Access management for container based platforms).
The document discusses the future of distributed applications and proposes a container-based model inspired by shipping containers. It argues that just as shipping containers standardized cargo transportation, software containers could standardize distributed applications by encapsulating code and dependencies in lightweight, portable packages. This would make applications easier to develop, deploy and manage across different environments. The document outlines key steps to build this new container ecosystem, including creating standard containers, an open ecosystem around them, and platforms to manage container-based distributed applications.
This talk, a case study in application deployment models, was given at IBM InterConnect 2017 in Las Vegas, NV on March 21, 2017 by Lin Sun & Phil Estes of IBM Cloud.
In this talk, Lin & Phil provided a background of IBM Bluemix compute offerings across Cloud Foundry, Containers + Kubernetes, and FaaS/serverless via OpenWhisk and then used a demo application to describe the tradeoffs between using the various deployment models and technology. The application is open source and available at https://github.com/estesp/flightassist
This document provides an introduction to Docker and discusses how it helps address challenges in the modern IT landscape. Some key points:
- Applications are increasingly being broken up into microservices and deployed across multiple servers and environments, making portability and scalability important.
- Docker containers help address these issues by allowing applications to run reliably across different infrastructures through package dependencies and resources together. This improves portability.
- Docker provides a platform for building, shipping and running applications. It helps bridge the needs of developers who want fast innovation and operations teams who need security and control.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes can schedule containers across a cluster of nodes, provide basic health checking and recovery of containers, and expose containers to the internet. Some key aspects include using microservices, container orchestration, continuous integration/delivery (CI/CD), and deployment automation.
This document provides an overview of Docker containers and their benefits. It discusses how containers provide isolation and portability for applications compared to virtual machines. The document outlines the history and growth of container technologies like Docker. It then covers how to build, ship, and run containerized applications on platforms like Docker, OpenShift, and Kubernetes. Use cases discussed include application development, modernization, and cloud migrations.
The container ecosystem @ MicrosoftA story of developer productivityNills Franssens
By 2020, more than 50% of enterprises will run mission-critical, containerized cloud-native applications in production, up from less than 5% today. Containers provide a standard way to package applications that can run on any infrastructure and be moved between environments. Containers isolate applications from each other and the underlying infrastructure while sharing operating system resources to improve efficiency.
Achieving Cost and Resource Efficiency through Docker, OpenShift and KubernetesDean Delamont
The document discusses how adopting containerization and microservices technologies like Docker, Kubernetes, and OpenShift can help organizations achieve cost savings, resource efficiency, reduced complexity, accelerated time to market, and greater portability when deploying solutions on OpenStack. Currently, deploying applications on OpenStack using virtual machines is costly due to high resource usage from large VM sizes, installed operating systems, overprovisioned resources, and maintaining active standby instances. The presentation explores how a container-based approach addresses these issues and improves business outcomes.
Containers and container orchestration platforms like Kubernetes provide benefits for development and deployment but also introduce challenges for monitoring. A container monitoring solution needs to collect metrics on hosts, containers, the orchestration framework and applications. It should provide features like real-time analysis, predictive analytics, automated dashboards and service maps to provide visibility into the dynamic container environment. Choosing a monitoring platform that supports OpenTelemetry avoids vendor lock-in and works across cloud and self-hosted environments.
Azure Modern Cloud App Development Approaches 2017Vadim Zendejas
The document discusses different approaches for application development and hosting on Azure, including Infrastructure as a Service (IaaS), Container Services, Platform as a Service (PaaS), and Functions as a Service (FaaS). It provides examples of Azure services for each approach and highlights their benefits, such as flexibility, ease of deployment, and scalability, as well as limitations, such as management overhead and portability. The document aims to help users understand the tradeoffs of different cloud hosting models on Azure.
Infinit: Modern Storage Platform for Container EnvironmentsDocker, Inc.
Providing state to applications in Docker requires a backend storage component that is both scalable and resilient in order to cope with a variety of use cases and failure scenarios. The Infinit Storage Platform has been designed to provide Docker applications with a set of interfaces (block, file and object) allowing for different tradeoffs. This talk will go through the design principles behind Infinit and demonstrate how the platform can be used to deploy a storage infrastructure through Docker containers in a few command lines.
Docker concepts and microservices architecture are discussed. Key points include:
- Microservices architecture involves breaking applications into small, independent services that communicate over well-defined APIs. Each service runs in its own process and communicates through lightweight mechanisms like REST/HTTP.
- Docker allows packaging and running applications securely isolated in lightweight containers from their dependencies and libraries. Docker images are used to launch containers which appear as isolated Linux systems running on the host.
- Common Docker commands demonstrated include pulling public images, running interactive containers, building custom images with Dockerfiles, and publishing images to Docker Hub registry.
Mit Urs Stephan Alder (CEO Kybernetika), Michael Abmayer (Senior Consultant Opvizor) und Dennis Zimmer (CEO Opvizor) präsentierten gleich 3 hochkarätige Referenten an der vergangenen VMware@Night bei Digicomp. Sie zeigten zusammen auf, welche Auswirkungen Container in der Virtualisierung auf den täglichen Betrieb sowie die Performance- und Kapazitätsplanung haben.
Vor allem Docker ist derzeit in aller Munde und die bekannteste und meist genutzte Container-Technologie. Container werden vielfach in virtuellen Maschinen betrieben und stellen eine neue Herausforderung für VMware- Administratoren, aber auch IT-Manager dar. Gewährleistung und Überwachung der Performance sowie eine möglichst genaue Kapazitätsplanung sind Herausforderungen, denen man sich zügig stellen muss.
Nach einer kurzen Einführung in die Thematik der Container, in der auch die Unterschiede zur Virtualisierung aufgezeigt wurde, widmeten sich die Referenten dem Umgang mit Conteinern am Beispiel von Docker mit VMware vSphere. Zum Abschluss wurde die Performanceüberwachung und Kapazitätsplanung behandelt.
This document provides an introduction and overview of OpenStack, its components, and Compute infrastructure (Nova). OpenStack is an open source cloud computing platform that allows enterprises to setup and run cloud infrastructure. It consists of three main services - Compute (Nova), Storage (Swift), and Imaging (Glance). Nova is the underlying fabric controller that manages compute resources, networking, authorization and scalability. It exposes its capabilities through an EC2 compatible API.
Hypervisor "versus" Linux Containers!
Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.
Less hardware, less pain and more scalability in production, on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above. "Do more with less " and this is all that matters!
Automation of server and applications deployments never had been so easy and fast that ever. Also brings produtivity to a new level, in the DataCenters and Cloud Environments.
Francisco Gonçalves (Dec2013
( francis.goncalves@gmail.com )
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.
This is my presentation at DevNexus 2017 in Atlanta.
Containers are a default choice for packaging and deploying Microservices.
You will understand why containers are a natural fit for microservices, the value a container platform brings to the table, how to structure your microservices running as containers on an enterprise ready Kubernetes platform aka, OpenShift. We will also look at a sample microservices application packaged and running as containers on this platform.
This document provides an overview of service meshes and Istio. It defines what a service mesh is and describes some of its key capabilities like service discovery, load balancing, and observability. It then discusses Istio and how it works with Kubernetes as a service mesh. Istio's architecture is explained, including its control plane components like Pilot and data plane component Envoy. Lastly, it covers Istio deployment models and provides a case study on mesh federation.
Docker provides security for containerized applications using Linux kernel features like namespaces and cgroups to isolate processes and limit resource usage. The Docker daemon manages these Linux security mechanisms to build secure containers. Docker images can also be scanned for vulnerabilities and signed with content trust to ensure only approved container images are deployed in production.
Docker provides a platform for building, shipping, and running distributed applications across environments using containers. It allows developers to quickly develop, deploy and scale applications. Docker DataCenter delivers Docker capabilities as a service and provides a unified control plane for both developers and IT operations to standardize, secure and manage containerized applications. It enables organizations to adopt modern practices like microservices, continuous integration/deployment and hybrid cloud through portable containers.
Docker for the Enterprise with Containers as a Service by Banjot ChananaDocker, Inc.
Banjot Chanana is Senior Director of Product Management at Docker bringing solutions for enterprises to build, ship and run Docker applications on-premise or in their virtual private clouds.
Microservices involve breaking up monolithic applications into smaller, independent services that work together. This allows for increased efficiency through scaling individual services as needed, easier updates by updating smaller code bases, and improved stability if one service fails. Containers are well-suited for microservices due to their lightweight nature and ability to easily move workloads.
By popular demand the presentation that Ed Hoppitt delivered opening Cloud Camp London on 30th April 2015. This deck is a simple explanation of Container technology borrowing some great analogies from the shipping industry that anyone can get their head around. It also then deconstructs the elements that go in to making VMware's Cloud Native Apps announcements around Project Photon (Ultra Lightweight LINUX Distribution for running containers) and Project Lightwave (Identify and Access management for container based platforms).
The document discusses the future of distributed applications and proposes a container-based model inspired by shipping containers. It argues that just as shipping containers standardized cargo transportation, software containers could standardize distributed applications by encapsulating code and dependencies in lightweight, portable packages. This would make applications easier to develop, deploy and manage across different environments. The document outlines key steps to build this new container ecosystem, including creating standard containers, an open ecosystem around them, and platforms to manage container-based distributed applications.
This talk, a case study in application deployment models, was given at IBM InterConnect 2017 in Las Vegas, NV on March 21, 2017 by Lin Sun & Phil Estes of IBM Cloud.
In this talk, Lin & Phil provided a background of IBM Bluemix compute offerings across Cloud Foundry, Containers + Kubernetes, and FaaS/serverless via OpenWhisk and then used a demo application to describe the tradeoffs between using the various deployment models and technology. The application is open source and available at https://github.com/estesp/flightassist
This document provides an introduction to Docker and discusses how it helps address challenges in the modern IT landscape. Some key points:
- Applications are increasingly being broken up into microservices and deployed across multiple servers and environments, making portability and scalability important.
- Docker containers help address these issues by allowing applications to run reliably across different infrastructures through package dependencies and resources together. This improves portability.
- Docker provides a platform for building, shipping and running applications. It helps bridge the needs of developers who want fast innovation and operations teams who need security and control.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes can schedule containers across a cluster of nodes, provide basic health checking and recovery of containers, and expose containers to the internet. Some key aspects include using microservices, container orchestration, continuous integration/delivery (CI/CD), and deployment automation.
This document provides an overview of Docker containers and their benefits. It discusses how containers provide isolation and portability for applications compared to virtual machines. The document outlines the history and growth of container technologies like Docker. It then covers how to build, ship, and run containerized applications on platforms like Docker, OpenShift, and Kubernetes. Use cases discussed include application development, modernization, and cloud migrations.
The container ecosystem @ MicrosoftA story of developer productivityNills Franssens
By 2020, more than 50% of enterprises will run mission-critical, containerized cloud-native applications in production, up from less than 5% today. Containers provide a standard way to package applications that can run on any infrastructure and be moved between environments. Containers isolate applications from each other and the underlying infrastructure while sharing operating system resources to improve efficiency.
Achieving Cost and Resource Efficiency through Docker, OpenShift and KubernetesDean Delamont
The document discusses how adopting containerization and microservices technologies like Docker, Kubernetes, and OpenShift can help organizations achieve cost savings, resource efficiency, reduced complexity, accelerated time to market, and greater portability when deploying solutions on OpenStack. Currently, deploying applications on OpenStack using virtual machines is costly due to high resource usage from large VM sizes, installed operating systems, overprovisioned resources, and maintaining active standby instances. The presentation explores how a container-based approach addresses these issues and improves business outcomes.
Containers and container orchestration platforms like Kubernetes provide benefits for development and deployment but also introduce challenges for monitoring. A container monitoring solution needs to collect metrics on hosts, containers, the orchestration framework and applications. It should provide features like real-time analysis, predictive analytics, automated dashboards and service maps to provide visibility into the dynamic container environment. Choosing a monitoring platform that supports OpenTelemetry avoids vendor lock-in and works across cloud and self-hosted environments.
Azure Modern Cloud App Development Approaches 2017Vadim Zendejas
The document discusses different approaches for application development and hosting on Azure, including Infrastructure as a Service (IaaS), Container Services, Platform as a Service (PaaS), and Functions as a Service (FaaS). It provides examples of Azure services for each approach and highlights their benefits, such as flexibility, ease of deployment, and scalability, as well as limitations, such as management overhead and portability. The document aims to help users understand the tradeoffs of different cloud hosting models on Azure.
Microservices, Containers and Docker
This document provides an overview of microservices, containers, and Docker. It begins by defining microservices as an architectural style where applications are composed of independent, interchangeable components. It discusses benefits of the microservices style such as independent deployability, efficient scaling, and design autonomy. The document then introduces containers as a way to package applications and their dependencies to run uniformly across various environments. It compares containers to virtual machines. Finally, it describes Docker as an open source tool that automates deployment of applications into containers, providing portability and management of containers. The document concludes by discussing the need for container orchestration at scale.
This document provides an introduction and overview of containers, Kubernetes, IBM Container Service, and IBM Cloud Private. It discusses how microservices architectures break monolithic applications into smaller, independently developed services. Containers are presented as a standard way to package applications to move between environments. Kubernetes is introduced as an open-source system for automating deployment and management of containerized applications. IBM Cloud Container Service and IBM Cloud Private are then overviewed as platforms that combine Docker and Kubernetes to enable deployment of containerized applications on IBM Cloud infrastructure.
Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment. This provides many of the benefits of loading an application onto a virtual machine, as the application can be run on any suitable physical machine without any worries about dependencies.
Multi-Containers Orchestration with Live Migration and High-Availability for ...Jelastic Multi-Cloud PaaS
We describe and demonstrate how to build continuous deployment processes for microservices and applications that require a high level of stability and multi-container scalability. In addition, we share the use cases of Docker multi-containers provisioning, full monitoring of their performance and automation of the management processes within the Jelastic cloud solution.
Container orchestration engine for automating deployment, scaling, and management of containerized applications.
What are Microservices?
What is container?
What is Containerization?
What is Docker?
Getting Started with Docker - Nick StinematesAtlassian
This document summarizes a presentation about Docker and containers. It discusses how applications have changed from monolithic to distributed microservices, creating challenges around managing different stacks and environments. Docker addresses this by providing lightweight containers that package code and dependencies to run consistently on any infrastructure. The presentation outlines how Docker works, its adoption by companies, and its open platform for building, shipping, and running distributed applications. It aims to create an ecosystem similar to how shipping containers standardized cargo transportation globally.
VMware is introducing new platforms to better support cloud-native applications, including containers. The Photon Platform is a lightweight, API-driven control plane optimized for massive scale container deployments. It includes Photon OS, a lightweight Linux distribution for containers. vSphere Integrated Containers allows running containers alongside VMs on vSphere infrastructure for a unified hybrid approach. Both aim to provide the portability and agility of containers while leveraging VMware's management capabilities.
Docker with Micro Service and WebServicesSunil Yadav
This document discusses deploying microservices using Docker Swarm. It begins with an overview of microservice architecture and its benefits. It then covers DevOps, containerization using Docker, and orchestration tools. Docker Swarm is introduced as a clustering and scheduling tool for Docker containers. The document concludes with a discussion of using Docker to address challenges in building microservice architectures.
Containerization is a operating system virtualization in which application can run in isolated user spaces called containers.
Everything an application needs is all its libraries , binaries ,resources , and its dependencies which are maintained by the containers.
The Container itself is abstracted away from the host OS with only limited access to underlying resources - much like a lightweight virtual machine (VM)
This document discusses developing hybrid cloud applications. It notes that cloud is enabling digital disruption and rapid innovation. It then discusses challenges around balancing investments in innovation and optimization. It outlines the evolution from traditional on-premises infrastructure to cloud-based platforms and services. It also summarizes strategies for using hybrid cloud to reduce costs while enabling innovation through new applications and integration with existing IT.
Sviluppare velocemente applicazioni sicure con SUSE CaaS Platform e SUSE ManagerSUSE Italy
The document describes an event called Expert Days 2019 focused on developing secure applications quickly using SUSE CaaS Platform and SUSE Manager. It includes an agenda with topics on IT transformation for innovation, terminology around SUSE CaaS Platform and SUSE Manager, and a live demo of a jTracker microservices application running on containers. Partners BS Company and SUSE will provide real experiences using these open source tools to reduce development time while maintaining enterprise security standards.
An RSVP app designed to be deployed by the dockers on the Kubernetes Minikube Cluster. Front end with flask framework and MongoDB as a backend database.
Youtube video:https://youtu.be/KnjnQj-FvfQ
Mordernizing Traditional Applications. An Introduction to ContainerizationOluwadamilare Ibrahim
This is a presentation delivered at Global Azure Bootcamp 2018 held at Microsoft Nigeria Office Victoria Island Lagos on how Legacy / Traditional Applications can be modernized without code changes using containerisation technology (Docker) and Microsft Azure.
Lana Kalashnyk presented on transitioning to Java microservices on Docker. Key points included:
- Microservices involve breaking applications into small, independent services that communicate via APIs. Docker containers help deploy and manage microservices.
- The presentation demonstrated a Java microservice that polls a Bitcoin node for block height updates. It was packaged into a Docker container using Wildfly Swarm and exposed via REST APIs.
- A React web page displayed the data from the microservice. This illustrated how microservices and containers could replace outdated .NET web services.
- Benefits of microservices include independent deployability, fault isolation, and infrastructure automation using containers. Challenges include managing transactions and data
Building Cloud-Native Applications with Kubernetes, Helm and KubelessBitnami
This document discusses building cloud-native applications with Kubernetes, Helm, and Kubeless. It introduces cloud-native concepts like containers and microservices. It then explains how Kubernetes provides container orchestration and Helm provides application packaging. Finally, it discusses how Kubeless enables serverless functionality on Kubernetes.
VMworld 2014: The Software-Defined Datacenter, VMs, and ContainersVMworld
The document discusses how a unified infrastructure fabric and unified cloud management platform can provide a consistent environment for both virtual machines and containers, allowing them to work better together. It describes how VMware's software-defined datacenter, NSX, and VSAN technologies can provide networking, security, and storage for containers. The document also discusses how a unified management platform can manage both VMs and containers across their entire lifecycles for development, testing, and production.
Introducción a Microservicios, SUSE CaaS Platform y KubernetesSUSE España
- SUSE Container as a Service (CaaS) Platform is an application development and hosting platform for container applications that enables provisioning, managing, and scaling container-based apps and services.
- It provides production-grade orchestration capabilities with Kubernetes to reduce time to market, increase operational efficiency through automation, and enable improved application lifecycles.
- The platform has three main components: SUSE MicroOS for the container host OS, Kubernetes for orchestration, and Salt and containers for configuration management.
[OpenInfra Days Vietnam 2019] Innovation with open sources and app modernizat...Ian Choi
This document discusses innovation and application modernization using open source tools like Kubernetes and containers. It begins by outlining the challenges of migrating applications to the cloud and describes different approaches from simply redeploying applications to fully rearchitecting them. It then discusses how open source tools like Kubernetes and containers can help with application modernization approaches like lift and shift, microservices, machine learning, and IoT solutions. Specific capabilities and scenarios are provided for each along with examples. The document closes by discussing Microsoft's contributions to open source projects in the Kubernetes and container ecosystem.
Similar to Container Shangri-La Attaining the Promise of Container Paradise (20)
Metrics That Matter: How to Measure Digital Transformation SuccessXebiaLabs
Learn how to go beyond simple metrics to identify what really matters to your business and your teams. Get actionable tips on how to use historical analysis, machine learning, and data from across your toolchain to surface trends, predict outcomes, and recommend actions to drive more informed decisions and deliver more value to end-users.
Infrastructure as Code in Large Scale OrganizationsXebiaLabs
The adoption of tools for the provisioning and automatic configuration of "Infrastructure as Code" (eg Terraform, Cloudformation or Ansible) reduces cost, time, errors, violations and risks when provisioning and configuring the necessary infrastructure so that our software can run .
However, those who have begun to make intensive use of this technology at the business level agree to identify the emergence of a very critical problem regarding the orchestration and governance needs of supply requests such as security, compliance, scalability, integrity and more.
Learn how The Digital.ai DevOps Platform (formerly XebiaLabs DevOps Platform) responds to all these problems and many more, allowing you to continue working with your favorite tools.
Accelerate Your Digital Transformation: How to Achieve Business Agility with ...XebiaLabs
Learn why new technologies and IT optimization are essential to achieving business agility. Get insights on how organizations can simplify and utilize technologies in a framework of enterprise control and repeatability to better optimize their software delivery process.
Don't Let Technology Slow Down Your Digital Transformation XebiaLabs
This document discusses accelerating digital transformation by overcoming technical roadblocks. It recommends adopting a responsive enterprise approach with qualities like customer centricity, collaboration, and data-driven experiments. Lean practices and IT performance are foundational to agility. Automation, GitOps, connected pipelines, and quality-first thinking can improve delivery. Cloud adoption and new technologies require guidance and standardization. DevOps as a service can provide pre-defined patterns to scale practices across organizations.
Deliver More Customer Value with Value Stream ManagementXebiaLabs
Learn why companies should incorporate business value at every stage of the software delivery cycle and how Value Stream Management enables teams to:
Manage and monitor the software delivery life cycle from end-to-end
Increase efficiency through better visibility, data analytics, reporting, and mapping
Safely and independently develop, test, and deploy value to the customer
Create a culture of continuous delivery and improvement across the entire organization
Building a Software Chain of Custody: A Guide for CTOs, CIOs, and Enterprise ...XebiaLabs
For most of us, compliance audits are painful processes that interfere with our ability to do our job – building and delivering software – and steal time and resources away from that next great innovation. Until now.
The XebiaLabs Software Chain of Custody provides everything you need to visualize, monitor, and prove the integrity of your software delivery pipelines on demand. Push the button, get the report. You’re done. No more audit hell.
Learn how a Software Chain of Custody helps:
DevOps teams focus on doing what they love, rather than wasting valuable time putting together audit reports
Executives gain full visibility into release pipelines so they can stop losing sleep over governance and security audits
InfoSec teams and auditors instantly get the reports they need so they can quickly approve releases
In this presentation, DevOps enthusiast Gene Kim, XebiaLabs CEO Derek Langone, and XebiaLabs VP of Customer Success T.j. Randall shared industry highlights and developments for 2019, as well as predictions for the year to come!
Topics covered during this session included:
• How DevSecOps has become prevalent throughout all industries
• Why data will be big in the coming year
• The impact of DevOps on human beings and their day-to-day work
From Chaos to Compliance: The New Digital Governance for DevOpsXebiaLabs
DevOps and related trends (cloud-native, digital transformation, etc.) are unquestionably mainstream, but they still come with difficulties. Many organizations are struggling with outdated governance models that slow down digital innovation, while not effectively reducing risk. Plan/build/run, stage-gated checklists, and approval boards are losing favor, but what will replace them? Risk management is still critical.
Special guest Charles Betz, Forrester Principal Analyst, joined Dan Beauregard, VP, Cloud & DevOps Evangelist at XebiaLabs, to discuss:
• The role of an integrated, end-to-end release pipeline in ensuring auditability and standards compliance
• The evolution and automation of change and release management and the decline of the Change Approval Board
• Chaos and resilience engineering as the basis for a new governance model
Supercharge Your Digital Transformation by Establishing a DevOps PlatformXebiaLabs
Although DevOps practices have gained wide adoption across industries, many organizations are still failing in their digital transformation efforts because they focus on tools over people and processes. You can avoid this trap by providing DevOps as a platform that is built and maintained by experts who provide standardized tools, templates, and processes to teams across the organization—regardless of those teams’ roles within the company, the type of applications or environments they work with, or the software delivery patterns they’ve adopted.
A centralized DevOps platform allows developers to leverage predefined delivery processes, so they don’t have to reinvent the wheel to get their apps into Production. It also helps ensure the right processes are followed and the right people are involved at the right times. A DevOps platform can provide both technical users and business stakeholders with end-to-end visibility into the software delivery process—promoting information sharing and collaboration across the organization.
Learn how to successfully implement a DevOps platform in your organization, so that every team gets the tools, templates, and visibility they need to deliver software faster than ever before.
Build a Bridge Between CI/CD and ITSM w/ Quint TechnologyXebiaLabs
DevOps heeft een grote sprong gemaakt in het verbeteren van het softwareleveringsproces. Het is echter verrassend hoeveel organisaties DevOps nog gescheiden houden van gevestigde IT-servicemanagement (ITSM) systemen zoals ServiceNow. Voor Development blijft het hierdoor een uitdaging om functies, gebruikersverhalen en IT-serviceaanvragen bij te houden in de verschillende tools voor backlog management en ITSM.
Hoe zorgt Development ervoor dat tickets worden gesloten als het werk voltooid is? Hoe wordt de naleving gegarandeerd? En de ultieme vraag: welke functie heeft de release daadwerkelijk opgeleverd?
Make Software Audit Nightmares a Thing of the PastXebiaLabs
This webinar discusses challenges organizations face during software compliance audits and how to improve the audit process. It outlines three steps to pivot the audit approach: 1) Review audit rules and simplify compliance practices. 2) Create a process that is fast and compliant by default. 3) Automate the process from end to end. It then introduces the concept of software chain of custody and asks how attendees currently gather audit evidence during the process. The webinar aims to help organizations better balance control and freedom around security and compliance.
DevOps and cloud seem to be a match made in heaven...however, there are challenges that organizations experience when incorporating cloud technologies into their DevOps practices. XebiaLabs Cloud & DevOps Evangelist, Dan Beauregard, and Director of DevOps Strategy, Vincent Lussenburg, discussed why DevOps is leading many organizations to move to the cloud and how to make this transition as seamless as possible in an enterprise environment.
Compliance und Sicherheit im Rahmen von Software-DeploymentsXebiaLabs
Viele Unternehmen kennen das Problem. Ständig müssen neue Software-Releases bereitgestellt und dabei immer mehr Anforderungen eingehalten werden, weil sich Sicherheitsrisiken und Compliance-Probleme stets auf mehrere Anwendungen, Teams und Umgebungen gleichzeitig auswirken. Nur wenn Risikobewertung, Sicherheitstests und Compliance bereits als Teil von Continuous Integration (CI) und Continuous Delivery (CD) integriert sind, lassen sich Fehlschläge und Verzögerungen vermeiden. Bei Verstößen gegen die IT-Governance drohen Produktionsausfälle und hohe Geldstrafen.
Das Webinar zeigt mit praktischen Beispielen, wie Sie Sicherheit und Compliance in den Abläufen in Ihrem Unternehmen implementieren können.
Different situations, different teams, and different requirements call for different ways to approach your software delivery initiatives. Your road to success might mean taking the highway or a shortcut to get the job done. However, regardless of your cloud, container, security, compliance, or ITSM goals, all roads eventually lead to the same destination…DevOps.
Industry thought leader and award-winning author Gene Kim, and XebiaLabs Vice President of Customer Success, T.j. Randall, will discuss various strategies IT teams can use to succeed with their DevOps journey without getting lost on the way.
Reaching Cloud Utopia: How to Create a Single Pipeline for Hybrid DeploymentsXebiaLabs
DevOps trends show that, in 2019, large enterprises are accelerating their migration to the cloud and defining goals for the number of applications to migrate over the coming year. To set themselves up for success, companies are not only looking for the right people and processes, but also the right technology for helping them transition to the cloud in a controlled fashion—without throwing compliance, auditability, and security out the window.
So how can organizations gain visibility into which versions of their applications live where, even when running on containers in some environments and on legacy infrastructure on others? And how can they reuse existing environment-specific configurations?
Avoid Troubled Waters: Building a Bridge Between ServiceNow and CI/CDXebiaLabs
DevOps has made great strides in reducing bottlenecks in the software delivery process. Yet, it is surprising how many organizations keep DevOps on a separate track from long-established IT service management (ITSM) implementations and systems such as ServiceNow. Consequently, development teams find it challenging to track features, user stories, and IT service requests across different tools for backlog management and ITSM.
But how do they make sure tickets are closed when the work is complete? How can they ensure compliance? And can they answer the ultimate question: Which feature actually made it into which release?
Shift Left and Automate: How to Bake Compliance and Security into Your Softwa...XebiaLabs
Organizations struggle to deliver more and more software releases while keeping up with ever-increasing security risks and compliance issues across many different applications, teams, and environments. The stakes of that struggle are high: when risk assessment, security testing, and compliance evaluation aren't built into the CI/CD pipeline, releases fail and cause delays, security vulnerabilities threaten Production, and IT governance violations result in expensive fines.
Gene Kim provides predictions for DevOps in 2019 based on findings from the 2018 State of DevOps report. Key findings show elite performing teams deploy more frequently, recover from outages faster, and rarely outsource. The rise of pipelines and a divide between business and technical challenges were also discussed. Functional programming concepts may influence the future of operations work. DevOps practices need to include all roles and processes should be defined, automated, auditable and repeatable.
DevOps has made great strides in reducing bottlenecks in the software delivery process. Yet, it is surprising how many organizations keep DevOps on a separate track from long-established IT service management (ITSM) implementations and systems such as ServiceNow. Consequently, development teams find it challenging to track features, user stories, and IT service requests across different tools for backlog management and ITSM.
But how do they make sure tickets are closed when the work is complete? How can they ensure compliance? And can they answer the ultimate question: Which feature actually made it into which release?
It’s hard to believe, but DevOps has been around for nearly ten years. From its specialist “unicorn” origins to a broadly accepted set of principles adopted by companies of all sizes and stripe, it’s been one of the most transformative movements in information technology since the PC. What comes next? Forrester Principal Analyst and DevOps Lead Charles Betz shares his 2018 research and predictions for next year.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
4. 4
Containers
A container is a portable package that
contains an application, its dependencies,
its libraries, and the configuration files
needed to run it. Containers are:
▪ Lightweight
▪ Transportable
▪ Scalable
▪ Platform for microservices
5. 5
What is a container?
VM VM VM
Applications
Kernel
Container Container Container
Traditional virtual machines
Hardware virtualization
Containers
Operating system virtualization
6. 6
I hear the term “Docker” everywhere…
▪ A “new paradigm” whereby all applications should be delivered
as versioned containers by development teams
− New version of the app = new version of the (set of) containers
− Often also assuming that apps will be built as microservices
▪ The expanding ecosystem of container tools
that enable:
− Multi-container frameworks
− Container runtime platforms
− Container delivery pipeline tools
7. 7
Container Terminology
Container
runtime
Container
orchestration
platform
Container
management
platform
A container runs in a runtime directly on hardware (“bare metal”) or on top of
an operating system.
Examples: Docker, Rkt, Apache Mesos
Container orchestration allows you to deploy and manage multiple containers
running on a container runtime.
Examples: Kubernetes, OpenShift, Marathon, Pivotal Container Service, DC/OS
Container management includes container orchestration plus other enterprise-
friendly features such as scheduling, storage, networking, and access control.
Example: Rancher
9. 9
Microservices
▪ A microservice architecture is one in which a business application/
service is built by composing multiple small, independent elements
▪ “Moving to microservices” generally means not just architecting new
applications in this way, but also converting existing (monolithic)
applications to a microservice architecture by “splitting off” more and
more functionality of the monolith into separate applications
10. 10
Kubernetes
▪ Kubernetes is an open-source container-orchestration system for
automating deployment, scaling and management of containerized
applications
▪ Originally designed by Google, is now maintained by the Cloud Native
Computing Foundation
Source: Wikipedia
14. 14
Containers Offer Unique Capabilities
Fast iteration
Defined state separation
Resource controls
Immutability
Rapid deployment
15. 15
Container Overview
Dependencies: Every application has its own
dependencies
Virtualization: Container engine is a lightweight
virtualization mechanism which isolates these
dependencies per each application by packaging
them into virtual containers
Shared Host OS: Processes in containers are
isolated from other containers in user space, but
share the kernel with the host and other
containers
Flexible: Differences in underlying OS and
infrastructure are abstracted away, streamlining
‘deploy anywhere’ approach.
Fast: Containers can be created almost instantly,
enabling rapid scale-up and scale-down in
response to changes in demand
Container
App B
Bins/Libraries
16. 16
How do they differ from virtual machines?
Dependencies: Each virtualized app
includes the app itself, required binaries
and libraries and a guest OS, which may
consist of multiple GB of data
Independent OS: Each VM can have a
different OS from other VMs, along with
a different OS to the host itself
Flexible: VMs can be migrated to other
hosts to balance resource usage and for
host maintenance, without downtime
Secure: High levels of resource and
security isolation for key virtualized
workloads
Guest OS
Virtual Machine
App B
Bins/Libraries
17. 17
Containers Inside Virtual Machines
Containers in VMs: By combining containers
with VMs, users can deploy multiple, different
VM operating systems, and inside, deploy
multiple containers within those guest OSs
− By combining containers with VMs, fewer
VMs would be required to support a larger
number of apps
− Fewer VMs would result in a reduction in
storage consumption
− Each VM would support multiple isolated
apps, increasing overall density
Flexible: Running containers inside VMs enables
features such as live migration for optimal
resource utilization and host maintenance
Guest OS
w/ Container Support
App A
Bins/
Libraries
App B
Bins/
Libraries
Container
Virtual Machine
21. 21
Misconceptions About Cloud and Containers
The one-container myth: Everything I need to run my software is in the
container, so I don’t need to worry about configuration or security
The one-command myth: I can deploy a container with a single
command or with a simple script, so I don’t need sophisticated
deployment automation or release orchestration
The one-vendor myth: I’m paying a cloud vendor, so their deployment
tools are sufficient for my needs
22. 22
Container Myths Busted
The one-container myth: You will be deploying and managing more and
more containers, requiring you to define more configuration and manage
more scope
The one-command myth: A single-command deployment might work on
one laptop, but real-world deployments are bigger and more complex, and
you’ll end up writing and maintaining scripts
The one-vendor myth: Cloud vendors don’t specialize in release
orchestration or deployment automation tools, and they won’t help you
avoid platform or vendor lock-in
23. 23
Container Challenges
Will the scripts that we’re writing now work for all of our applications?
How can we be sure that the containers we’re deploying are properly configured
and totally secure?
How do we orchestrate releases and manage dependencies between containers?
If a container deployment fails, how can we roll back?
What about hybrid applications that will run on legacy platforms and in the
cloud?
What about coordinating teams, scheduling releases, getting sign-offs, collecting
compliance and audit data...?
What if we have to change cloud vendors?
25. 25
Containers Change the Way You Work
▪ Development and delivery teams – artifacts
will change
▪ Operations, runtime environment (including
networking, monitoring, etc.) for containers
▪ Security, as they will need to develop new
security policies for containers
▪ Auditing, ephemeral, rapidly changing,
scaling…
▪ Chain of custody
26. 26
What does not change?
▪ Your delivery process does not magically become less complicated:
many different tests, sign-offs, etc. are still required
▪ Your cross-cutting concerns do not change: security/access control,
auditability, etc.
▪ Your existing applications and runtimes will still be around for a long
time, even if you get started with Docker and microservices tomorrow
27. 27
Operations automates
deployment and
monitors apps from
repository
Developers build, test
and update apps in
containers
Containers are Central to DevOps Process
Developers push
containers to central
repository
Operations collaborates
with developers to
provide metrics and
insights
29. 29
Automating Deployment Financial Services
Increased deployment cadence from
4 per year to 20+ per day
Over 9,600 successful deployments in
7 months
Improved access & process controls
for segregation of duties and
auditable software delivery
30. 30
Digital DevOps Transformation
Increased deployment cadence from
4 per year to 500 per month
Reduced 300 Jenkins jobs to 30
Committed to 99.99% uptime of the
release pipeline for even faster
delivery to Production
32. 32
Scaling Containers With XebiaLabs
Built-in compliance, security, audit trail
Configuration, dependency, and complex process
management across containers and microservices
Visibility and reporting across many applications
and technologies
Enforcement of release and deployment
compliance processes
“as code” push and deploy
Model-based automation and management for
highly efficient container deployment
XebiaLabs DevOps Platform for Cloud and ContainersDeploy thousands of containers
in a repeatable and secure way
Deliver Containers and
Microservices with complete ”Chain
of Custody”
Standardize hybrid deployments
(“containers to mainframes”)
Migrate applications to containers
efficiently (lift + shift)
33. 33
Thank You!
Built-in compliance, security, audit trail
Configuration, dependency, and complex
process management across containers and
microservices
Visibility and reporting across many applications
and technologies
Enforcement of release and deployment
compliance processes
“As code” push and deploy
Model-based automation and management for
highly efficient container deployment
XebiaLabs DevOps Platform for Cloud and Containers
Deploy thousands of containers
in a repeatable and secure way
Deliver Containers and
Microservices with complete “Chain
of Custody”
Standardize hybrid deployments
(“containers to mainframes”)
Migrate applications to containers
efficiently (lift + shift)