This document appears to contain student enrollment information for a student named Jonathan Hunt, including test scores of 96, 24, and 120, an online course status, a payment of $2300 that was approved, and enrollment dates of 08/28/2016.
Andrew Spyker presented on the Netflix Cloud Platform and ZeroToDocker project. The following key points were discussed:
- ZeroToDocker provides Docker images of Netflix OSS projects like Eureka, Zuul and Asgard to more easily evaluate the technologies. However, the images are not intended for direct production use.
- A demo showed running a microservices application and supporting Netflix OSS services like Eureka and Zuul using Docker containers on a single machine.
- While Docker aids development and evaluation, additional tooling is needed to operationalize containers at production scale across multiple hosts for tasks like networking, security, logging and scheduling. Competing ecosystems are emerging to address these needs.
The document discusses microservices and APIs. It covers how microservices optimize for speed by shedding dependencies and having dependencies on demand through services and APIs. It discusses consumer contracts for APIs and service versioning. It also discusses using an API gateway pattern for scalability, security, monitoring and more. It promotes API management for benefits like access control, analytics, and monetization of microservices.
Real world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
What are, or aren't, microservices?
There's a lot of hype and buzz, but microservices emerged organically vs how some of the other distributed architectural styles were "handed down to us", so I believe there's some good things once you cut through the hype. In this talk I discussed what are and are NOT microservices, introduced some concepts, and discussed some concrete open-source libraries and frameworks that can help you develop and manage microservice style deployments.
Overseeing Ship's Surveys and Surveyors Globally Using IoT and Docker by Jay ...Docker, Inc.
Fugro Chance Inc. oversees ship surveys globally using IoT and Docker. They developed a solution using AWS, Docker, and microservices to support a real-time web application for ship tracking. Key challenges included supporting services that need to run together and efficiently deploying new versions. They addressed this using SupervisorD to run multiple services in a single Docker container. This allows flexible development and deployment of future microservices.
Learning the Alphabet: A/B, CD and [E-Z] in the Docker Datacenter by Brett Ti...Docker, Inc.
What is the right balance between moving fast, innovating, experimenting with new technology, and protecting the personal data of our customers and interests of our stakeholders? How can we safely try new ideas in production without risking costly downtime? Does the utopia where developers are free from lock-in and operators enjoy the calm of a steadily running system exist in the real world? Is it possible to have open platforms with better security? At Kroger Digital we are still working through these questions every day but are redesigning our systems with the goals of true operational maturity and security. Discover how we are building capabilities for monitoring, A/B testing, and continuous delivery with Docker Datacenter, plugins, and open source building blocks such as NGiNX, ElasticSearch, and more.
Securing the Container Pipeline at Salesforce by Cem Gurkok Docker, Inc.
Customer trust and security is paramount for Salesforce. While containerization is great for DevOps due to flexibility, speed, isolation, transient existence, ease of management and patching, it becomes a challenging environment when the sensitivity level of the data traversing the environment increases. Monitoring systems, applications and network; performing disk, memory and network forensics in case of an incident; and vulnerability detection can easily become daunting tasks in such a volatile environment.
In this presentation we would like to discuss the infrastructure we have built to address these issues and to secure our Docker container platform while we rapidly containerize Salesforce. Our solutions focus on securing the container pipeline, building security into the architecture, monitoring, Docker forensics (disk, memory, network), and automation. We also would like to demonstrate some of our live memory analysis capabilities we leverage to assure container and application integrity during execution.
Docker in Production, Look No Hands! by Scott CoultonDocker, Inc.
In this session we will talk about HealthDirect’s journey with Docker. We will follow the life cycle of a container through our CD process to its home in our swarm cluster with just a git commit thanks to configuration management. We will cover the CD process for Docker, Docker swarm, Docker networking and service discovery. The audience will leave with a solid foundation of how to build a production ready swarm cluster (A github repo with code will be given). They will also have the knowledge of how to implement a CD framework using Docker.
Build Fast, Deploy Fast: Innovating in the Enterprise by Imran Raja and Andy LimDocker, Inc.
Our motto "Imagination at work" is the belief in driving innovation that builds, powers, moves and cures the world. At GE, we have 9,000+ legacy apps powering 9 business units across every major industry from oil and gas, healthcare to household appliances generating over $148B in revenue. With legacy apps and infrastructure, our app teams were facing issues with long development cycles, deploying apps and scaling features and services. How do you migrate legacy data center built apps to a new microservices and hybrid cloud architecture at this organizational scale and business diversity? In this talk, the GE Digital team will share their journey to a modern microservices platform built with Docker Datacenter, Rails, Chef, Sensu, Gems, AWS, Azure and Rackspace on-prem to modernize these apps and automate processes to enable agile development and rapid deployment. This session will cover both the technical and organizational sides of the project to take legacy apps and infrastructure at GE to multi cloud microservices.
1. The document describes a Docker implementation of NetflixOSS microservices on IBM SoftLayer.
2. Key aspects discussed include networking Docker containers across multiple SoftLayer datacenters, managing the Docker API across multiple hosts, and integrating Docker images with SoftLayer image management.
3. Lessons learned include the need for a proxy for the Docker remote API across multiple hosts, and approaches for keeping Docker advantages like image portability when integrating with an IaaS platform.
Using the SDACK Architecture on Security Event Inspection by Yu-Lun Chen and ...Docker, Inc.
The SDACK architecture stands for Spark, Docker, Akka, Cassandra, and Kafka. At TrendMicro, we adopted the SDACK architecture to implement a security event inspection platform for APT attack analysis. In this talk, we will introduce SDACK stack with Spark lambda architecture, Akka and Kafka for streaming data pipeline, Cassandra for time series data, and Docker for microservices. Specifically, we will show you how we Dockerize each SDACK component to facilitate the RD team of algorithms development, help the QA team test the product easily, and use the Docker as a Service strategy to ship our products to customers. Next, we will show you how we monitor each Docker container and adjust the resource usage based on monitoring metrics. And then, we will share our Docker security policy which ensures our products are safety before shipping to customers. After that, we'll show you how we develop an all-in-one Docker based data product and scale it out to multi-host Docker cluster to solve the big data problem. Finally, we will share some challenges we faced during the product development and some lesson learned.
Thinking Inside the Container: A Continuous Delivery Story by Maxfield Stewart Docker, Inc.
Riot builds a lot of software. At the start of 2015 we were looking at 3000 build jobs over a hundred different applications and dozens of teams. We were handling nearly 750 jobs per hour and our build infrastructure needed to grow rapidly to meet demand. We needed to give teams total control of the “stack” used to build their applications and we needed a solution that enabled agile delivery to our players. On top of that, we needed a scalable system that would allow a team of four engineers to support over 250.
After as few explorations, we built an integrated Docker solution using Jenkins that accepts docker images submitted as build environments by engineers around the company . Our “containerized” farm now creates over 10,000 containers a week and handles nearly 1000 jobs at a rate of about 100 jobs an hour.
In this occasionally technical talk, we’ll explore the decisions that led Riot to consider Docker, the evolutionary stages of our build infrastructure, and how the open source and in-house software we combined to achieve our goals at scale. You’ll come away with some best practices, plenty of lessons learned, and insight into some of the more unique aspects of our system (like automated testing of submitted build environments, or testing node.js apps in containers with Chromium and xvfb).
Fully Orchestrating Applications, Microservices and Enterprise Services with ...Docker, Inc.
As a multi-national bank, Societe General IT infrastructure has thousands of apps, almost every bit of technology deployed and compliance requirements. Our vision is to broadly transform traditional bank IT to be agile and fast. Speed is critical in a digital economy and at Societe Generale we are building a new execution platform with Docker that provides IT containers, middleware and infrastructure as a service and orchestration. In this session we will share the technical and organizational steps of our journey from how we defined and architected a PaaS for our entity; with service catalog, service topologies, ambassadors with Docker Datacenter, continuous integration and what’s next.
Use Docker to Deliver Cognitive Services Running Cross Platform and Multi Clo...Docker, Inc.
Watson developer cloud delivers Watson Cognitive services as micro services on the cloud that are being used by many IBM Watson customers. The micro services were packaged in ova at the first release. There were some drawbacks in ova deployment in the cloud. We gradually switched to use docker. As a result, the service deployment time and start up time are significantly improved. It also greatly simplified our continuous delivery process since our services run on both Intel and Power platform and we have offerings on our public cloud, dedicated cloud as well as customers’ on premise cloud. With minimal deployment time and quick startup time, Docker makes our dynamic creation of service instance on the fly per customer request possible.