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DockerCon SF 2015: Scaling New Services
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The slides from Steve Hoffman and Rick Fast's presentation at DockerCon SF 2015 - Talk Description: In this talk we will discuss how we enabled decomposition of one of our 250+ system components into a continously deployed microservice cluster. This includes building a standardized Docker server composed of various local companion services along side the Docker daemon including: dynamic service discovery via Consul, a log relay to a centralized Elasticsearch cluster, and forwarding/batching of Dropwizard metrics to Graphite. Building on this we'll cover our Jenkins driven automated pipeline for building Docker images and rolling deployments via Ansible using static placement on existing infrastructure while prototyping dynamic placement using Docker + Apache Mesos.
DockerCon SF 2015: Enabling Microservices @Orbitz
DockerCon SF 2015: Enabling Microservices @Orbitz
Docker, Inc.
Eric Buth's Presentation at DockerCon SF 2015: Talk Description: In the New York Times newsroom you’ll find a deeply heterogeneous technology environment that exists – by necessity – outside of the larger, more well-defined development pipelines of the rest of the organization. On the Interactive News team, part of our mission is providing a reliable path to production for designers/developers/reporters who need to be able to make their own technology choices on what can be extremely tight deadlines. Containerization is becoming increasingly important to these efforts, and we’re ready to share our experience working with Docker and crafting complementary orchestration, communication, and organization solutions.
DockerCon SF 2015: Docker in the New York Times Newsroom
DockerCon SF 2015: Docker in the New York Times Newsroom
Docker, Inc.
The whole Docker ecosystem exists today because of every single developer who found ways of using Docker to improve how they build software; whether streamlining production deployments, speeding up continuous integration systems or standing up an application on your laptop to hack on. In this talk we want to take a step back and look at where Docker sits today from the software developers point of view - and then jump ahead and talk about where it might go in the future. In this talk, we’ll discuss: * Making Docker an everyday part of the developing software on the desktop, with Docker for Windows and Docker for Mac * Docker Compose, and the future of describing applications as code * How Docker provides the best tools for developing applications destined to run on any Kubernetes cluster This session should be of interest to anyone who writes software; from people who want to hack on a few personal projects, to polyglot open source programmers and to professional developers working in tightly controlled environments. Everyone deserves a better developer experience.
Docker for developers on mac and windows
Docker for developers on mac and windows
Docker, Inc.
Slides from DockerCon SF 2015 – Docker at Lyft: Speeding up development w/ Matthew Leventi Talk description: Learn how Docker enables Lyft to increase developer productivity across our engineering organization. We'll go through a local development model that decreases our developer onboard time, and keeps our teams focused on delivering product goals. We'll also talk about how we use Docker to test changes to our servers and allow QA testing of our mobile clients. You'll come out of the talk with techniques and reasons for integrating docker not just in the cloud but also onto developer's laptops.
DockerCon SF 2015: Docker at Lyft
DockerCon SF 2015: Docker at Lyft
Docker, Inc.
Presentation by Sandeep Parikh In this talk, we will cover the basics of Kubernetes and show how to set up continuous delivery pipelines using Jenkins and Jenkins Workflow to go from code to deployment, without developers having to interact with the production deployment infrastructure. The goal is an end-to-end set of steps to automate deployment and delivery of an application composed of several microservices.
2016 - Continuously Delivering Microservices in Kubernetes using Jenkins
2016 - Continuously Delivering Microservices in Kubernetes using Jenkins
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Presented by Casper S. Jensen, Software Engineer, Uber At Uber, we've been introducing Docker to give service owners more control over their environments. However, everything at Uber is moving very fast so we have had to do it a way such that Docker fitted into the existing infrastructure and services could be migrated seamlessly to Docker without any service interruptions. In this talk we will talk about the challenges we faced while doing this, such as handling both non-Docker and Docker builds, image replication, integration with our deployment systems and other challenges when deploying Docker at scale.
DockerCon EU 2015: Placing a container on a train at 200mph
DockerCon EU 2015: Placing a container on a train at 200mph
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Example of a Continuous Delivery Pipeline using Docker and Jenkins. github: https://github.com/camiloribeiro/cdeasy
Continuous Delivery Pipeline with Docker and Jenkins
Continuous Delivery Pipeline with Docker and Jenkins
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Kathleen Juell, Digital Ocean - Containers are an essential part of today's microservice ecosystem, as they allow developers and operators to maintain standards of reliability and reproducibility in fast-paced deployment scenarios. And while there are best practices that extend across stacks in containerized environments, there are also things that make each stack distinct, starting with the application image itself. This talk will dive into some of these particularities, both at the image and service level, while also covering general best practices for building and running Node applications with database backends using Docker and Compose.
How To Build and Run Node Apps with Docker and Compose
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Recommended
The slides from Steve Hoffman and Rick Fast's presentation at DockerCon SF 2015 - Talk Description: In this talk we will discuss how we enabled decomposition of one of our 250+ system components into a continously deployed microservice cluster. This includes building a standardized Docker server composed of various local companion services along side the Docker daemon including: dynamic service discovery via Consul, a log relay to a centralized Elasticsearch cluster, and forwarding/batching of Dropwizard metrics to Graphite. Building on this we'll cover our Jenkins driven automated pipeline for building Docker images and rolling deployments via Ansible using static placement on existing infrastructure while prototyping dynamic placement using Docker + Apache Mesos.
DockerCon SF 2015: Enabling Microservices @Orbitz
DockerCon SF 2015: Enabling Microservices @Orbitz
Docker, Inc.
Eric Buth's Presentation at DockerCon SF 2015: Talk Description: In the New York Times newsroom you’ll find a deeply heterogeneous technology environment that exists – by necessity – outside of the larger, more well-defined development pipelines of the rest of the organization. On the Interactive News team, part of our mission is providing a reliable path to production for designers/developers/reporters who need to be able to make their own technology choices on what can be extremely tight deadlines. Containerization is becoming increasingly important to these efforts, and we’re ready to share our experience working with Docker and crafting complementary orchestration, communication, and organization solutions.
DockerCon SF 2015: Docker in the New York Times Newsroom
DockerCon SF 2015: Docker in the New York Times Newsroom
Docker, Inc.
The whole Docker ecosystem exists today because of every single developer who found ways of using Docker to improve how they build software; whether streamlining production deployments, speeding up continuous integration systems or standing up an application on your laptop to hack on. In this talk we want to take a step back and look at where Docker sits today from the software developers point of view - and then jump ahead and talk about where it might go in the future. In this talk, we’ll discuss: * Making Docker an everyday part of the developing software on the desktop, with Docker for Windows and Docker for Mac * Docker Compose, and the future of describing applications as code * How Docker provides the best tools for developing applications destined to run on any Kubernetes cluster This session should be of interest to anyone who writes software; from people who want to hack on a few personal projects, to polyglot open source programmers and to professional developers working in tightly controlled environments. Everyone deserves a better developer experience.
Docker for developers on mac and windows
Docker for developers on mac and windows
Docker, Inc.
Slides from DockerCon SF 2015 – Docker at Lyft: Speeding up development w/ Matthew Leventi Talk description: Learn how Docker enables Lyft to increase developer productivity across our engineering organization. We'll go through a local development model that decreases our developer onboard time, and keeps our teams focused on delivering product goals. We'll also talk about how we use Docker to test changes to our servers and allow QA testing of our mobile clients. You'll come out of the talk with techniques and reasons for integrating docker not just in the cloud but also onto developer's laptops.
DockerCon SF 2015: Docker at Lyft
DockerCon SF 2015: Docker at Lyft
Docker, Inc.
Presentation by Sandeep Parikh In this talk, we will cover the basics of Kubernetes and show how to set up continuous delivery pipelines using Jenkins and Jenkins Workflow to go from code to deployment, without developers having to interact with the production deployment infrastructure. The goal is an end-to-end set of steps to automate deployment and delivery of an application composed of several microservices.
2016 - Continuously Delivering Microservices in Kubernetes using Jenkins
2016 - Continuously Delivering Microservices in Kubernetes using Jenkins
devopsdaysaustin
Presented by Casper S. Jensen, Software Engineer, Uber At Uber, we've been introducing Docker to give service owners more control over their environments. However, everything at Uber is moving very fast so we have had to do it a way such that Docker fitted into the existing infrastructure and services could be migrated seamlessly to Docker without any service interruptions. In this talk we will talk about the challenges we faced while doing this, such as handling both non-Docker and Docker builds, image replication, integration with our deployment systems and other challenges when deploying Docker at scale.
DockerCon EU 2015: Placing a container on a train at 200mph
DockerCon EU 2015: Placing a container on a train at 200mph
Docker, Inc.
Example of a Continuous Delivery Pipeline using Docker and Jenkins. github: https://github.com/camiloribeiro/cdeasy
Continuous Delivery Pipeline with Docker and Jenkins
Continuous Delivery Pipeline with Docker and Jenkins
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Kathleen Juell, Digital Ocean - Containers are an essential part of today's microservice ecosystem, as they allow developers and operators to maintain standards of reliability and reproducibility in fast-paced deployment scenarios. And while there are best practices that extend across stacks in containerized environments, there are also things that make each stack distinct, starting with the application image itself. This talk will dive into some of these particularities, both at the image and service level, while also covering general best practices for building and running Node applications with database backends using Docker and Compose.
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Feeling overwhelmed while getting started with containers? Have you been tasked to figure out how to train everyone back at your organization? There's just so much to learn and teach! In this talk, we'll start with a tiny bit of history to motivate the "why" and quickly move into the "what" by explaining what container and images actually are (they're not just magical black boxes!). We'll talk about how volumes help with data persistence and include an overview of Docker Compose and even orchestration. There will be plenty of live demos and fun!
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Share the continuity of Société Générale's journey with Docker Enterprise from different points of view, from executives to devops, with CD platform as an enabler. Creating a Dockerfile that runs a container on a developer's laptop is pretty straightforward. But extending that to stacks of containers running on a dozen environments (development, integration, testing, staging, production, etc.) with different configuration and topologies can be a challenge. This talk will cover aspects of our journey to Docker Enterprise: What configuration should go in an image? Where to put different types of configuration? Images, environment variables, entrypoint, ...? How to store assets for building images and configuration for deployment in version control. We will discuss how Société Générale has implemented these, and what we plan next for Docker Enterprise deployment.
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About 94% of AI Adopters are planning to use containers in the next 1 year. What’s driving this exponential growth? Faster time to deployment and Faster AI workload processing are the two major reasons. You can use GPUs in big data applications such as machine learning, data analytics, and genome sequencing. Docker containerization makes it easier for you to package and distribute applications. You can enable GPU support when using YARN on Docker containers. In this talk, I will demonstrate how Docker accelerates the AI workload development and deployment over the IoT Edge devices in efficient manner
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Lukonde Mwila, Entelect As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.
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Docker?!?! But I'm a SysAdmin
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Containerising your applications with Docker gets more and more attraction. While managing your Docker containers on your developer machine or on a single server is not a big hassle, it can get uncomfortable very quickly when you want to deploy your containers in a cluster, no matter if in the cloud or on premises. How do you provide high availability, scaling and monitoring? Fortunately there is a rapidly growing ecosystem around docker, and there are tools available which support you with this. In this session I want to introduce you to Kubernetes, the Docker orchestration tool started and open sourced by Google. Based on the experience with their data centers, Google uses some interesting declarative concepts like pods, replication controllers and services in Kubernetes, which I will explain to you. While Kubernetes still is a quite young project, it reached its first stable version this summer, thanks to many contributions by Red Hat, Microsoft, IBM and many more.
Managing Docker Containers In A Cluster - Introducing Kubernetes
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Containerising your applications with Docker gets more and more attraction. While managing your Docker containers on your developer machine or on a single server is not a big hassle, it can get uncomfortable very quickly when you want to deploy your containers in a cluster, no matter if in the cloud or on premises. How do you provide high availability, scaling and monitoring? Fortunately there is a rapidly growing ecosystem around docker, and there are tools available which support you with this. In this session I want to introduce you to Kubernetes, the Docker orchestration tool started and open sourced by Google. Based on the experience with their data centers, Google uses some interesting declarative concepts like pods, replication controllers and services in Kubernetes, which I will explain to you. While Kubernetes still is a quite young project, it reached its first stable version this summer, thanks to many contributions by Red Hat, Microsoft, IBM and many more.
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Delivering Docker & K3s worloads to IoT Edge devices
Programming the world with Docker
Programming the world with Docker
In-Cluster Continuous Testing Framework for Docker Containers
In-Cluster Continuous Testing Framework for Docker Containers
Build & Deploy Multi-Container Applications to AWS
Build & Deploy Multi-Container Applications to AWS
Docker?!?! But I'm a SysAdmin
Docker?!?! But I'm a SysAdmin
Managing Docker Containers In A Cluster - Introducing Kubernetes
Managing Docker Containers In A Cluster - Introducing Kubernetes
Baking Docker Using Chef
Baking Docker Using Chef
Building your production tech stack for docker container platform
Building your production tech stack for docker container platform
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Slides from Brendan Burns Advanced Tech Talk at DockerCon SF 2015: Talk Description: People often adopt containers for the dramatic improvements in application packaging and deployment that they provide. However, possibly more important, is the abstraction layer that containers provide. By encouraging users to build their distributed applications through containerized modules, rather than monolithic systems, developers are building composable, reusable distributed applications. In this talk we will explore both the development of abstract application patterns for distributed systems, as well as introduce a set of reusable, composable containers that radically simplify the process of distributed application design and construction.
DockerCon SF 2015: The Distributed System Toolkit
DockerCon SF 2015: The Distributed System Toolkit
Docker, Inc.
A presentation on the basics of apace mesos, A distributed systems kernel.
Apache Mesos: a simple explanation of basics
Apache Mesos: a simple explanation of basics
Gladson Manuel
Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
Introduction to Apache Mesos
Introduction to Apache Mesos
Joe Stein
Hadoop Summit
Docker based Hadoop provisioning - anywhere
Docker based Hadoop provisioning - anywhere
Janos Matyas
This presentation discusses the different types of workloads typical enterprises are required to run, which use cases exist for containerizing them and how leading-edge workload orchestration can be used to deploy, run and manage the containerized workloads or various types or scale-out infrastructures, such as on-premise clusters, public clouds or hybrid clouds.
Docker for any type of workload and any IT Infrastructure
Docker for any type of workload and any IT Infrastructure
Docker, Inc.
Delivering Apps with Containers as a Service Running a Docker App in Production Putting in Practice (Docker Datacenter Demo)
Docker for Ops: Operationalize your Docker Built Apps in Production by Evan H...
Docker for Ops: Operationalize your Docker Built Apps in Production by Evan H...
Docker, 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.
Docker for the Enterprise with Containers as a Service by Banjot Chanana
Docker for the Enterprise with Containers as a Service by Banjot Chanana
Docker, Inc.
Cloudbreak - Technical Deep Dive
Cloudbreak - Technical Deep Dive
Cloudbreak - Technical Deep Dive
DataWorks Summit/Hadoop Summit
BigData DC meetup 2014-04-15 @AddThis http://www.meetup.com/bigdatadc/events/172610652/
Datacenter Computing with Apache Mesos - BigData DC
Datacenter Computing with Apache Mesos - BigData DC
Paco Nathan
Watch on-demand here: http://ecast.opensystemsmedia.com/339 Distributed systems work by sending information between otherwise independent applications. Traditionally, that communication is done by passing messages between the various nodes. This "message-centric" approach takes many forms, from simple direct transmissions to more complex message queue and transactional systems. All have a common premise: the unit of information exchange is the message itself. The infrastructure's role is to ensure that messages get to their intended recipients. Recently, another paradigm is becoming popular. In this approach, the distributed infrastructure takes more responsibility; it offers to the distributed system a single version of "truth." The fundamental unit of communication is a data-object value; the infrastructure has done its job not when a message is delivered, but when all nodes have the correct understanding of that value. Because the focus is on the data itself, this is termed "data-centric" infrastructure. While both types of middleware serve to connect distributed systems, the approaches are quite different. And the single most important decision you make when designing your distributed system – whether to go with the message-centric or data-centric approach – will result in different system capabilities, strengths, and weaknesses. In this webinar, we will examine both, discuss the differences and clarify which application use cases are best served by data- and message-centric designs.
The Single Most Important Decision in Designing Your Distributed System
The Single Most Important Decision in Designing Your Distributed System
Real-Time Innovations (RTI)
Running Hadoop on Mesos with Docker
Scalable On-Demand Hadoop Clusters with Docker and Mesos
Scalable On-Demand Hadoop Clusters with Docker and Mesos
nelsonadpresent
An Introduction to Apache Mesos
Introduction To Apache Mesos
Introduction To Apache Mesos
Timothy St. Clair
Building and Deploying Application to Apache Mesos using Marathon, Apache Aurora and Custom Frameworks
Building and Deploying Application to Apache Mesos
Building and Deploying Application to Apache Mesos
Joe Stein
Presentation by Yubico
The Future of Hardware-Backed Keys
The Future of Hardware-Backed Keys
Docker, Inc.
Docker Birthday App key feature improvements: - A haproxy load balancer, based on the dockercloud/haproxy image, for dynamic configuration. - Dockerized the locust load testing framework, in order to create fake http requests to the voting page. - Autoscaling of the voting-app and worker containers. Using the docker remote API, I monitor the CPU usage of the two containers and scale up or down, depending on the threshold. The bottom threshold is 5% and the upper at 30%.
Autoscaling Docker Containers by Konstantinos Faliagkas, Docker Birthday #3 A...
Autoscaling Docker Containers by Konstantinos Faliagkas, Docker Birthday #3 A...
Docker, Inc.
Intro to Docker November 2013
Intro to Docker November 2013
Docker, Inc.
Building Images from dockerfiles
Building Images from dockerfiles
Docker, Inc.
Docker Links
Docker Links
Docker, Inc.
Slides from the "Scaling New Services" presentation at DockerCon SF 2015
DockerCon SF 2015: Docker After Launching 1 Billion Containers
DockerCon SF 2015: Docker After Launching 1 Billion Containers
Docker, Inc.
LXC to Docker Via Continuous Delivery
LXC to Docker Via Continuous Delivery
Docker, Inc.
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DockerCon SF 2015: The Distributed System Toolkit
DockerCon SF 2015: The Distributed System Toolkit
Apache Mesos: a simple explanation of basics
Apache Mesos: a simple explanation of basics
Introduction to Apache Mesos
Introduction to Apache Mesos
Docker based Hadoop provisioning - anywhere
Docker based Hadoop provisioning - anywhere
Docker for any type of workload and any IT Infrastructure
Docker for any type of workload and any IT Infrastructure
Docker for Ops: Operationalize your Docker Built Apps in Production by Evan H...
Docker for Ops: Operationalize your Docker Built Apps in Production by Evan H...
Docker for the Enterprise with Containers as a Service by Banjot Chanana
Docker for the Enterprise with Containers as a Service by Banjot Chanana
Cloudbreak - Technical Deep Dive
Cloudbreak - Technical Deep Dive
Datacenter Computing with Apache Mesos - BigData DC
Datacenter Computing with Apache Mesos - BigData DC
The Single Most Important Decision in Designing Your Distributed System
The Single Most Important Decision in Designing Your Distributed System
Scalable On-Demand Hadoop Clusters with Docker and Mesos
Scalable On-Demand Hadoop Clusters with Docker and Mesos
Introduction To Apache Mesos
Introduction To Apache Mesos
Building and Deploying Application to Apache Mesos
Building and Deploying Application to Apache Mesos
The Future of Hardware-Backed Keys
The Future of Hardware-Backed Keys
Autoscaling Docker Containers by Konstantinos Faliagkas, Docker Birthday #3 A...
Autoscaling Docker Containers by Konstantinos Faliagkas, Docker Birthday #3 A...
Intro to Docker November 2013
Intro to Docker November 2013
Building Images from dockerfiles
Building Images from dockerfiles
Docker Links
Docker Links
DockerCon SF 2015: Docker After Launching 1 Billion Containers
DockerCon SF 2015: Docker After Launching 1 Billion Containers
LXC to Docker Via Continuous Delivery
LXC to Docker Via Continuous Delivery
Similar to DockerCon SF 2015: Scaling New Services
What can Azure & Rancher bring to enchance Docker? Presentation given at Azure Bootcamp 2016 in Huizingen (BE) by Karim Vaes
Azure Bootcamp 2016 - Docker Orchestration on Azure with Rancher
Azure Bootcamp 2016 - Docker Orchestration on Azure with Rancher
Karim Vaes
Intro to Mesos
mesos-devoxx14
mesos-devoxx14
Samir Bessalah
A basic presentation on how to use Docker in Drupal development and how to leverage the container to isolate every services then linked them together.
Of Docker and Drupal
Of Docker and Drupal
Gerald Villorente
Local development with docker slides from WordCamp Phoenix 2019
Dev with Docker WCPHX 2019
Dev with Docker WCPHX 2019
Maura Teal
CLI-Based open source Docker / Container Orchestration Tools
Container (Docker) Orchestration Tools
Container (Docker) Orchestration Tools
Dhilipsiva DS
Slides for "Phoenix for Rails dev" talk at Conferencia Rails Madrid 2016 (conferenciaror.es).
Phoenix for Rails Devs
Phoenix for Rails Devs
Diacode
Originally presented at GDG Denver on 2017-01-12, this presentation describes how I containerized a swagger-node REST microservice, and how to deploy a container to Kubernetes.
Containerizing a REST API and Deploying to Kubernetes
Containerizing a REST API and Deploying to Kubernetes
Ashley Roach
StackEngine identifies shortcomings in the tools available to systems operators who are at the forefront of Docker adoption.
StackEngine Problem Space Demo
StackEngine Problem Space Demo
Boyd Hemphill
Enhancing the application development process in all its phases—building, scaling, shipping, deploying and running—plays a vital role in today’s competitive IT industry by shortening the time between writing code and running it.
How to Dockerize Web Application using Docker Compose
How to Dockerize Web Application using Docker Compose
Evoke Technologies
tiny starter pack for learning pre-concepts, concepts and how to work with docker
Docker Starter Pack
Docker Starter Pack
Saeed Hajizade
Presentation delivered at global integration bootcamp - 24th of March 2018.
The container ecosystem @ MicrosoftA story of developer productivity
The container ecosystem @ MicrosoftA story of developer productivity
Nills Franssens
This introductory presentation introduces docker step-by-step through examples.
Docker by Example - Basics
Docker by Example - Basics
CodeOps Technologies LLP
Overview of the Docker ecosystem and orchestration systems, and how to make them run on Microsoft Azure.
Devoxx France 2015 - The Docker Orchestration Ecosystem on Azure
Devoxx France 2015 - The Docker Orchestration Ecosystem on Azure
Patrick Chanezon
Practical Docker for OpenStack - NYC / PHL OpenStack meetup (4-23-2014)
Practical Docker for OpenStack - NYC / PHL OpenStack meetup (4-23-2014)
Erica Windisch
Slides for talk at #madScalability meetup, https://www.meetup.com/mad-scalability/events/235597294/
CI/CD with Kubernetes, Helm & Wercker (#madScalability)
CI/CD with Kubernetes, Helm & Wercker (#madScalability)
Diacode
The Real-Time Web is rapidly growing and as a consequence an increasing number of applications require soft-real time interactions with the server-side as well as with peer web applications. In addition, real-time web technologies are experiencing swift adoption in traditional systems as a means of providing portable and ubiquitously accessible thin client applications. In spite of this trend, few high level communication frameworks exist that allow efficient and timely data exchange between web applications as well as with the server-side and the back-end system. Vortex Web is one of the first technologies to bring the powerful OMG Data Distribution Service (DDS) abstractions to the world of HTML5 / JavaScript applications. With Vortex Web, HTML5 / JavaScript applications can seamlessly and efficiently share data in a timely manner amongst themselves as well as with any other kind of device or system that supports the standard DDS Interoperability wire protocol (DDSI). This presentation will (1) introduce the key abstractions provided by Vortex Web, (2) provide an overview of its architecture and explain how Vortex Web uses Web Sockets and Web Workers to provide low latency and high throughput, and (3) get you started developing real-time web applications.
Real-Time Web Programming with PrismTech Vortex Web
Real-Time Web Programming with PrismTech Vortex Web
ADLINK Technology IoT
The Real-Time Web is rapidly growing and as a consequence an increasing number of applications require soft-real time interactions with the server-side as well as with peer web applications. In addition, real-time web technologies are experiencing swift adoption in traditional systems as a means of providing portable and ubiquitously accessible thin client applications. In spite of this trend, few high level communication frameworks exist that allow efficient and timely data exchange between web applications as well as with the server-side and the back-end system. Vortex Web is one of the first technologies to bring the powerful OMG Data Distribution Service (DDS) abstractions to the world of HTML5 / JavaScript applications. With Vortex Web, HTML5 / JavaScript applications can seamlessly and efficiently share data in a timely manner amongst themselves as well as with any other kind of device or system that supports the standard DDS Interoperability wire protocol (DDSI). This presentation will (1) introduce the key abstractions provided by Vortex Web, (2) provide an overview of its architecture and explain how Vortex Web uses Web Sockets and Web Workers to provide low latency and high throughput, and (3) get you started developing real-time web applications.
Building Real-Time Web Applications with Vortex-Web
Building Real-Time Web Applications with Vortex-Web
Angelo Corsaro
An introduction to Docker, its ecosystem, and information on deploying and orchestrating docker.
The Docker "Gauntlet" - Introduction, Ecosystem, Deployment, Orchestration
The Docker "Gauntlet" - Introduction, Ecosystem, Deployment, Orchestration
Erica Windisch
A brief look at Kubernetes through the lens of a DevOps Practitioner.
A DevOps guide to Kubernetes
A DevOps guide to Kubernetes
Paul Czarkowski
Antons Kranga speaking at DevConfu Conference, Riga November 2013.
Antons Kranga Building Agile Infrastructures
Antons Kranga Building Agile Infrastructures
Antons Kranga
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Azure Bootcamp 2016 - Docker Orchestration on Azure with Rancher
Azure Bootcamp 2016 - Docker Orchestration on Azure with Rancher
mesos-devoxx14
mesos-devoxx14
Of Docker and Drupal
Of Docker and Drupal
Dev with Docker WCPHX 2019
Dev with Docker WCPHX 2019
Container (Docker) Orchestration Tools
Container (Docker) Orchestration Tools
Phoenix for Rails Devs
Phoenix for Rails Devs
Containerizing a REST API and Deploying to Kubernetes
Containerizing a REST API and Deploying to Kubernetes
StackEngine Problem Space Demo
StackEngine Problem Space Demo
How to Dockerize Web Application using Docker Compose
How to Dockerize Web Application using Docker Compose
Docker Starter Pack
Docker Starter Pack
The container ecosystem @ MicrosoftA story of developer productivity
The container ecosystem @ MicrosoftA story of developer productivity
Docker by Example - Basics
Docker by Example - Basics
Devoxx France 2015 - The Docker Orchestration Ecosystem on Azure
Devoxx France 2015 - The Docker Orchestration Ecosystem on Azure
Practical Docker for OpenStack - NYC / PHL OpenStack meetup (4-23-2014)
Practical Docker for OpenStack - NYC / PHL OpenStack meetup (4-23-2014)
CI/CD with Kubernetes, Helm & Wercker (#madScalability)
CI/CD with Kubernetes, Helm & Wercker (#madScalability)
Real-Time Web Programming with PrismTech Vortex Web
Real-Time Web Programming with PrismTech Vortex Web
Building Real-Time Web Applications with Vortex-Web
Building Real-Time Web Applications with Vortex-Web
The Docker "Gauntlet" - Introduction, Ecosystem, Deployment, Orchestration
The Docker "Gauntlet" - Introduction, Ecosystem, Deployment, Orchestration
A DevOps guide to Kubernetes
A DevOps guide to Kubernetes
Antons Kranga Building Agile Infrastructures
Antons Kranga Building Agile Infrastructures
More from Docker, Inc.
Raymond Arifianto, AccelByte and Mark Mandel, Google - We have been deploying containerized micro-services for our Game Backend Services for a while. Now we are tackling the challenge to scale up fleets of game dedicated servers in multiple regions, multiple data centers and multiple providers - some in bare metal, some in Cloud. So we leverage docker containerization to deploy Game Servers to achieve Portability, Fast Deployment and Predictability, enabling us to scale up to thousands of servers, on demand, without a sweat.
Containerize Your Game Server for the Best Multiplayer Experience
Containerize Your Game Server for the Best Multiplayer Experience
Docker, Inc.
Nicholas Dille, Haufe-Lexware + Docker Captain - Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage.
How to Improve Your Image Builds Using Advance Docker Build
How to Improve Your Image Builds Using Advance Docker Build
Docker, Inc.
Lukonde Mwila, Entelect - As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.
Build & Deploy Multi-Container Applications to AWS
Build & Deploy Multi-Container Applications to AWS
Docker, Inc.
Kevin Jones, NGNIX - NGINX is one of the most popular images on Docker Hub and has been at the forefront of the web since the early 2000's. In this talk we will discuss how and why NGINX's lightweight and powerful architecture makes it a very popular choice for securing containerized applications as a sidecar reverse proxy within containers. We will highlight important aspects of application security that NGINX can help with, such as TLS, HTTP, AuthN, AuthZ and traffic control.
Securing Your Containerized Applications with NGINX
Securing Your Containerized Applications with NGINX
Docker, Inc.
Jessica Deen, Microsoft - Helm 3 is here; let's go hands-on! In this demo-fueled session, I'll walk you through the differences between Helm 2 and Helm 3. I'll offer tips for a successful rollout or upgrade, go over how to easily use charts created for Helm 2 with Helm 3 (without changing your syntax), and review opportunities where you can participate in the project's future.
Hands-on Helm
Hands-on Helm
Docker, Inc.
Jeff Hajewski, Salesforce - There is a wealth of information on building deep learning models with PyTorch or TensorFlow. Anyone interested in building a deep learning model is only a quick search away from a number of clear and well written tutorials that will take them from zero knowledge to having a working image classifier. But what happens when you need to deploy these models in a production setting? At Salesforce, we use TensorFlow models to help us provide customers with insights into their data, and we do this as close to real-time as possible. Designing these systems in a scalable manner requires overcoming a number of design challenges, but the core component is Docker. Docker enables us to design highly scalable systems by allowing us to focus on service interactions, rather than how our services will interact with the hardware. Docker is also at the core of our test infrastructure, allowing developers and data scientists to build and test the system in an end to end manner on their local machines. While some of this may sound complex, the core message is simplicity - Docker allows us to focus on the aspects of the system that matter, greatly simplifying our lives.
Distributed Deep Learning with Docker at Salesforce
Distributed Deep Learning with Docker at Salesforce
Docker, Inc.
James Fuller, webcomposite s.r.o. - Curl is the venerable (yet very modern) 'swiss army knife' command line tool and library for transferring data with URLs. Recently we (the Curl team) decided to build a release for Docker Hub. This talk will outline our current development workflow with respect to the docker image and provide insights on what it takes to build a docker image for mass public consumption. We are also keen to learn from users and other developers how we might improve and enhance the official curl docker image.
The First 10M Pulls: Building The Official Curl Image for Docker Hub
The First 10M Pulls: Building The Official Curl Image for Docker Hub
Docker, Inc.
Fabian Stäber, Instana - In recent years, we saw a great paradigm shift in software engineering away from static monolithic applications towards dynamic distributed horizontally scalable architectures. Docker is one of the key technologies enabling this development. This shift poses a lot of new challenges for application monitoring, ranging from practical issues (need for automation) to technical challenges (Docker networking) to organizational topics (blurring line between software engineers and operations) to fundamental questions (define what is an application). In this talk we show how Docker changed the way we do monitoring, how modern application monitoring systems work, and what future developments we expect.
Monitoring in a Microservices World
Monitoring in a Microservices World
Docker, Inc.
Clemente Biondo, Engineering Ingegneria Informatica - When the COVID 19 pandemic started, Engineering Ingegneria Informatica Group (1.25 billion euros of revenues, 65 offices around the world, 12.000 employees) was forced to put their digital transformation to the test in order to maintain operational continuity. In this session, Clemente Biondo, the Tech Lead of the Information Systems Department, will share how his company is reacting to this unforeseeable scenario and how Docker-driven digital transformation had paved the path for work to continue remotely. Clemente will discuss learnings moving from colocated teams, manual approaches, email based-business processes, and a monolithic application to a mature DevOps culture characterized by a distributed autonomous workforce and a continuous deployment process that deploys backward-compatible Docker containerized microservices into hybrid multi cloud datacenters an average of twice a day with zero-downtime. He will detail how they use Docker to unify dev, test and production environments, and as an efficient and automated mechanism for deploying applications. Lastly, Clemente shares how, in our darkest hour, he and others are working to shine their brightest light.
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
Docker, Inc.
Chris Lauer, NOAA Space Weather Prediction Center - This is the story of how adopting a containerized workflow changed the way our small software team works at NOAA’s Space Weather Prediction Center. Our old architecture, a big ball of mud shared-database integration, just wasn’t cutting it - it was killing our agility. Over the past two years, our small team has adopted a microservice style architecture, using Docker with docker-compose and environment files as our deployment strategy for all new development. We’ve discovered the joys of using containers for identical dev, staging, and production environments. We work closely with scientists: much of the code we’re running has complicated and conflicting library dependencies. Docker captures these beautifully - we’ve even had some success teaching our scientists to use it! I’ll share what we’ve learned, some of the persistent challenges we face, and one place we really got it wrong. This talk builds off of a popular hallway track from DockerCon 2019.
Predicting Space Weather with Docker
Predicting Space Weather with Docker
Docker, Inc.
Brian Christner, 56k + Docker Captain - In this session, we will unlock the full potential of using Microsoft Visual Studio Code (VS Code) and Docker Desktop to turn you into a Docker Power User. When we expand and utilize the VS Code Docker plugin, we can take our projects and Docker skills to the next level. In addition to using VS Code, we streamline our Docker Desktop development workflow with less context switching and built-in shortcuts. You will learn how to bootstrap new projects, quickly write Dockerfiles utilizing templates, build, run, and interact with containers all from VS Code.
Become a Docker Power User With Microsoft Visual Studio Code
Become a Docker Power User With Microsoft Visual Studio Code
Docker, Inc.
Brandon Mitchell, Boxboat + Docker Captain - How do you make your builds more performant? This talk looks at options to configure caching and mirroring of images that you need to save on bandwidth costs and to keep running even if something goes down upstream.
How to Use Mirroring and Caching to Optimize your Container Registry
How to Use Mirroring and Caching to Optimize your Container Registry
Docker, Inc.
Ashish Sharma, SS&C Eze - SS&C Eze provides various products in the stock market domain. We spent the last couple of years building Eclipse which is an investment suite born in cloud. The journey so far has been very interesting. The very first version of the product were a bunch of monolithic windows services and deployed using Octopus tool. We successfully managed to bring all the monolithic problem to the cloud and created a nightmare for ourselves. We then started applying microservices architecture principles and started breaking the monolithic into small services. Very soon we realized that we need a better packaging/deployment tool. Docker looked like a magical solution to our problem. Since its adoption, It has not only solved the deployment problem for us but has made a deep impact on different aspects of SDLC. It allowed us to use heterogeneous technology stacks, simplified development environment setup, simplified our testing strategy, improved our speed of delivery, and made our developers more productive. In this talk I would like to share our experience of using Docker and its positive impact on our SDLC.
Monolithic to Microservices + Docker = SDLC on Steroids!
Monolithic to Microservices + Docker = SDLC on Steroids!
Docker, Inc.
Ara Pulido, Datadog - Container technologies, although not new, have increased their popularity in the past few years, with container orchestrators allowing companies around the world to adopt these technologies to help them ship and scale microservices with precision and velocity. Kubernetes is currently the most popular container orchestration platform, and while many organizations are migrating their workloads to it, Kubernetes is still relatively immature. New corner cases, errors, and quirks are regularly discovered as users push the boundaries of size and scale. When Datadog adopted Kubernetes we discovered some of these boundaries the hard way, and we continuously challenge and modify our infrastructure decisions in order to fit our use case. Join me in this talk for our story on what we learned while we scaled our Kubernetes clusters, the contributions to Kubernetes we made along the way, and how you can apply those learnings when growing your Kubernetes clusters from a handful to hundreds or thousands of nodes.
Kubernetes at Datadog Scale
Kubernetes at Datadog Scale
Docker, Inc.
Andy Clemenko, StackRox - One underutilized, and amazing, thing about the docker image scheme is labels. Labels are a built in way to document all aspects about the image itself. Think about all the information that the tags inside your clothing carry. If you care to look you can find out everything about the garment. All that information can be very valuable. Now think about how we can leverage labels to carry similar information. We can even use the labels to contain Docker Compose or even Kubernetes Yaml. We can even include labels into the CI/CD process making things more secure and smoother. Come find out some fun techniques on how to leverage labels to do some fun and amazing things.
Labels, Labels, Labels
Labels, Labels, Labels
Docker, Inc.
Patrick Deloulay, Micro Focus - Micro Focus started their digital transformation 3 years ago, moving the entire portfolio into hundreds of container images. Leveraging Docker Hub as our primary registry service, we will cover how we ended up building a simple but secure push/pull model to publish and deliver our premium assets to our customers and partners to both meet the high agility of our DevOps teams while greatly simplifying the deployment of our applications.
Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model
Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model
Docker, Inc.
Elton Stoneman, Docker Captain + Container Consultant and Trainer How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least). In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product. There's a lot of technology here from a real world case study, and I'll focus on: - running Windows apps in Docker containers - building a .NET Core API which can run in Linux or Windows containers - running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud - configuring AKS workloads in Azure to burst out to Azure Container Instances And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun.
From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...
From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...
Docker, Inc.
This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.
Developing with Docker for the Arm Architecture
Developing with Docker for the Arm Architecture
Docker, Inc.
For many, the idea of speaking in front of a bunch of strangers can be enough to prevent you from ever responding to a CFP. But don't let it! Speaking at conferences, meetups, or even at your own company is a fantastic way to share you knowledge, meet others, advance your career, and give back. Whether you are on the fence, have decided to take the plunge and submit a CFP, or have already even a few talks, this session is for you. Drawing on their experience reviewing DockerCon CFPs and prepping speakers (including themselves) for a variety of conferences, Jenny Burcio and Ashlynn Polini will outline tips and strategies for turning your idea into a winning proposal and ultimately a compelling talk. They will share how to submit and prepare for your first - or next - conference talk.
Sharing is Caring: How to Begin Speaking at Conferences
Sharing is Caring: How to Begin Speaking at Conferences
Docker, Inc.
Docker Virtual Meetup
Virtual Meetup Docker + Arm: Building Multi-arch Apps with Buildx
Virtual Meetup Docker + Arm: Building Multi-arch Apps with Buildx
Docker, Inc.
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Containerize Your Game Server for the Best Multiplayer Experience
Containerize Your Game Server for the Best Multiplayer Experience
How to Improve Your Image Builds Using Advance Docker Build
How to Improve Your Image Builds Using Advance Docker Build
Build & Deploy Multi-Container Applications to AWS
Build & Deploy Multi-Container Applications to AWS
Securing Your Containerized Applications with NGINX
Securing Your Containerized Applications with NGINX
Hands-on Helm
Hands-on Helm
Distributed Deep Learning with Docker at Salesforce
Distributed Deep Learning with Docker at Salesforce
The First 10M Pulls: Building The Official Curl Image for Docker Hub
The First 10M Pulls: Building The Official Curl Image for Docker Hub
Monitoring in a Microservices World
Monitoring in a Microservices World
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
Predicting Space Weather with Docker
Predicting Space Weather with Docker
Become a Docker Power User With Microsoft Visual Studio Code
Become a Docker Power User With Microsoft Visual Studio Code
How to Use Mirroring and Caching to Optimize your Container Registry
How to Use Mirroring and Caching to Optimize your Container Registry
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Kubernetes at Datadog Scale
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Labels, Labels, Labels
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Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model
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Developing with Docker for the Arm Architecture
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Sharing is Caring: How to Begin Speaking at Conferences
Virtual Meetup Docker + Arm: Building Multi-arch Apps with Buildx
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Explore how multimodal embeddings work with Milvus. We will see how you can explore a popular multimodal model - CLIP - on a popular dataset - CIFAR 10. You use CLIP to create the embeddings of the input data, Milvus to store the embeddings of the multimodal data (sometimes termed “multimodal embeddings”), and we will then explore the embeddings.
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Zilliz
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
Six common myths about ontology engineering, knowledge graphs, and knowledge representation.
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
johnbeverley2021
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving. A report by Poten & Partners as part of the Hydrogen Asia 2024 Summit in Singapore. Copyright Poten & Partners 2024.
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Edi Saputra
In this keynote, Asanka Abeysinghe, CTO,WSO2 will explore the shift towards platformless technology ecosystems and their importance in driving digital adaptability and innovation. We will discuss strategies for leveraging decentralized architectures and integrating diverse technologies, with a focus on building resilient, flexible, and future-ready IT infrastructures. We will also highlight WSO2's roadmap, emphasizing our commitment to supporting this transformative journey with our evolving product suite.
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
WSO2
Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Orbitshub
Keynote 2: APIs in 2030: The Risk of Technological Sleepwalk Paolo Malinverno, Growth Advisor - The Business of Technology Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
apidays
The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
apidays
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
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Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
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Khushali Kathiriya
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
Christopher Logan Kennedy
Presented by Mike Hicks
How to Troubleshoot Apps for the Modern Connected Worker
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Passkeys: Developing APIs to enable passwordless authentication Cody Salas, Sr Developer Advocate | Solutions Architect - Yubico Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
apidays
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 the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Jeffrey Haguewood
In this presentation, we delve into leveraging Amazon Q to elevate developer efficiency and craft GenAI applications. Discover the key features and benefits of Amazon Q for streamlined application development. Learn how Amazon Q can revolutionize your development processes and empower you to create cutting-edge GenAI applications.
Elevate Developer Efficiency & build GenAI Application with Amazon Q
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Bhuvaneswari Subramani
Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
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sammart93
Discover the innovative features and strategic vision that keep WSO2 an industry leader. Explore the exciting 2024 roadmap of WSO2 API management, showcasing innovations, unified APIM/APK control plane, natural language API interaction, and cloud native agility. Discover how open source solutions, microservices architecture, and cloud native technologies unlock seamless API management in today's dynamic landscapes. Leave with a clear blueprint to revolutionize your API journey and achieve industry success!
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WSO2
Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
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Workshop Build With AI - Google Developers Group Rio Verde
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Exploring Multimodal Embeddings with Milvus
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[BuildWithAI] Introduction to Gemini.pdf
DockerCon SF 2015: Scaling New Services
1.
2.
3.
What!we!do
4.
Why$Docker
5.
Where!we!are!going
6.
Break&it&down
7.
chef
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chefthe$components
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chef%configures mesos,&mesos&frameworks,&haproxy& and&consul
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chef%the%ini)al%containers
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docker
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packagingand$deployment$of$our$services
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dockerfileexists&in&the&applica-on&repo
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applica&on)build includes)docker)build/push
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mesos
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cluster scheduler
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manage resources and$tasks
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We#interact#with mesos via$frameworks
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marathon
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docker on#mesos
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can$describe docker...
24.
deployments
25.
container)health check
26.
upgrade strategy
27.
consul
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distributed key/value)storage
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enables'containers to#get#environment#specific configura)a)on
30.
seeding'consul'data
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in#the#container consul'template' generated'at'launch
32.
haproxy
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queries'marathon generates(load(balancer for$all$deployed$apps
34.
jenkins
35.
build push deploy
36.
And$now... demo
Download now