Name: Principles and Strategies in Data Service Automation
Start: 2018-09-12T14:30:00Z
End: 2018-09-12T14:31:03.000Z
Location: BrightTALK
Rating: 0

The Cloud Foundry project recently added support for Kubernetes. Now it provides an application runtime to push code, and a container runtime to pull containerized code. So whether deploying a new application, a legacy application or third party software, Cloud Foundry has the right deployment model for you. In this webinar, Dave Nielsen, Head of Ecosystem Programs at Redis Labs will discuss the CF Container Runtime, when to use it, and when to stick with the time-tested CF Application Runtime.

Which Runtime Should You Choose?

In this webinar, you will explore Kibosh and learn to deploy Helm Charts as Services on Kubernetes via Kibosh' Open Service Broker API. Experience on-demand dedicated services the easy way.  With this introduction by Stark & Wayne, you will create a Rabbit-MQ service offering on Kibosh from a base chart and use Kibosh to provision an instance of your Rabbit-MQ service.

Use Case:
Sometimes you may not want to implement a ServiceBroker API. You have existing Services packaged as Helm Charts but want an easy way to offer them via an OSB API. Or more general, you want a containerized General Service Solution hosted on Kubernetes. The solution is Kibosh.

Learning Objectives:
- Understanding the ServiceBroker API.
- Understanding how Kibosh uses HelmCharts
- Learning how to create a service from a helm chart basis (e.g. from https://github.com/helm/charts/tree/master/stable)

Kibosh: Bridging the Gap Between Kubertnetes and Cloud Foundry

Running containers at enterprise scale is complex. As environments grow, that complexity increases. In order to run applications at scale, today’s enterprises require adaptability in their tech stack. Cross-platform flexibility provides the ability to withstand shifts in technology so you can adopt new tools, languages or platforms down the road. 

Join Simon Moser of IBM and Vlad Iovanov of SUSE on Thursday, October 4 to learn how to containerize Cloud Foundry. Learn what base technologies are needed to enable the deployment of BOSH releases to container schedulers and the benefits of an integrated containerized solution. Finally, dive into Project Eirini to provide pluggable scheduling for Cloud Foundry Application Runtime using Kubernetes.

Containerizing Cloud Foundry: Where are we? Where do we go from here?

Platform and Container as a Service layers (PaaS/CaaS) enable developers to deliver the functionality of their code to end users in a fast way.

The technologies with the highest adoption rate for each approach are currently Cloud Foundry and Kubernetes.

A fundamental difference between both approaches is the abstraction layer. While the focus is on the application in Cloud Foundry, it is on the container in Kubernetes.

This talk gives an analysis of what kind of a difference this makes for a developer that has to deploy the software using both technologies.

It will show on the basis of a Spring Boot microservice application which steps you need to take to get it configured and running on either platform approach.

The analysis will also cover connection to backing services, scaling, recovery from failure, zero-downtime deployment, logging, and monitoring.

Bring Your Own Code vs. Bring Your Own Container

To understand the impact that Cloud Foundry has on businesses, people, and the application lifecycle, the Foundation surveyed 609 developers, architects, managers, CIOs and other executives, and operators.

The Cloud Foundry User Survey provides a snapshot of Cloud Foundry users’ deployments and productivity. Find out what people love about open source technology straight from the users. 

Join Cloud Foundry and ClearPath Strategies to dive deeper into the 2018 User Survey Report.

Get the user report here: https://www.cloudfoundry.org/cf-user-report-2018/

Cloud Foundry User Report Deep Dive

In this talk Julian Fischer an automation enthusiast will talk about the exciting challenges you will encounter when automating a large set of data services across several platforms, infrastructures and operating systems.

You will be guided through the impact a full automation mission has on existing operational models. Learn how separation of duties, delegation and automation need to work alongside to accomplish the mission.

See the impact and limitations of the Open Service Broker API and get a sense for false friends and challenging problems to solve when automating a multitude of data services with a small team. At the end of the talk you will have a clear picture of how to approach creating a set of production grade, highly scalable new data service for modern platforms including Cloud Foundry and Kubernetes.

Principles and Strategies in Data Service Automation

data automation

cloud foundry

Kubernetes

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Principles and Strategies in Data Service Automation

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