NSA - No thanks - Build your own cloud with OpenStack and Cloud Foundry | anynines

May 9, 20141 like1,470 views

This document discusses building your own private cloud using open source software like OpenStack and Cloud Foundry. It introduces Anynines, an open source PaaS company, and discusses concerns over data privacy and security issues with public cloud vendors. It provides an overview of key components like OpenStack, Cloud Foundry, BOSH, and how they can be used together to build a self-hosted private cloud without vendor lock-in. The presenter is available to answer questions about building private clouds or Anynines cloud services.

NSA?Nothanks
Julian Weber - jweber@anynines.com
Build your own cloud with OpenStack & Cloud Foundry

About me
•Open Source evangelist
•Developer at Avarteq
•European cloud enthusiast
•Github: github.com/julweber
•Twitter: @JWeberAnynines

Anynines & Avarteq
•Avarteq GmbH: Mobile & Web development, Hosting
•Anynines CEO: Julian Fischer
•Co-founder of Avarteq
•Anynines: European PaaS
•Contributions to the Cloud Foundry project

Recent privacy/security issues
•Dropbox - access to every account‘s data during a
period of time
•Amazon - RDS, S3 data loss
•Google - systematic email scan and content analytics
•Patriot act - US companies have to hand out data even if
it is stored on servers not located in the USA

We fear the loss of our data,
security & privacy!

IaaS & PaaS advantages
•Increase time to value
•scale on demand
•continuous integration
•coding conventions lead to better code
•decrease administration efforts

Build your own cloud
•Open Source software
•Self hosted / hosted in Europe
•Not tied to any vendor
•no license cost

OpenStack
•Open Source IaaS layer
•rapidly growing community
•Automatic node provisioning using Chef
•GlusterFS block storage
•OpenStack Swift as scalable object store

Cloud Foundry
• Open Source PaaS
• gaining a lot of attention lately (EMC, IBM, NTT, ...)
• Infrastructure independent
• no vendor lock-in
• deployment using BOSH

Cloud Foundry Features
• Simple application lifecycle management
• application healing features
• Automated load balancing
• simple application scaling
• Automated service provisioning
• Buildpack support

BOSH
•Deployment system for distributed software systems
•IaaS independent deployment (CPI)
•central configuration management
•IaaS VM administration and provisioning
•VM monitoring & healing

Basic BOSH terminology
•Stemcell: generic VM image containing a BOSH agent
•CPI: software layer between BOSH and an IaaS
•Director: coordinates BOSH agents
•Agent: runs on each VM and executes deployment/
configuration tasks

Basic BOSH terminology
•Package: Source code & installation script
•Job: runs processes from a package (config & startup)
•Release: collection of Packages & Jobs
•Manifest: cloud formation configuration

Upcoming challenges
•High availability services
•clustered solutions
•replication scenarios
•Going out of beta

Thank you
• Anynines - anynines.com
• Twitter - @anynines
• Cloud Foundry - cloudfoundry.org
• Support - support.anynines.com
• Avarteq GmbH - avarteq.de
• For further questions feel free to contact me at
jweber@anynines.com

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The platform for developing and running modern workloads has changed. This new platform brings together the open source innovation being driven in containers and container packaging, in distributed resource management and orchestration, and in DevOps toolchains and processes to deploy infrastructure and management optimized for the new class of distributed application that is becoming the norm. In this session, Red Hat's Gordon Haff discusses the key trends coming together to change IT infrastructure and the applications that will run on it. These include: Container-based platforms designed for modern application development and deployment The ability to design microservices-based applications using modular and reusable parts The orchestration of distributed components Data integration with mobile and Internet-of-Things services Iterative development, testing, and deployment using Platform-as-a-Service and integrated continuous delivery systems

Cloudsolutionday 2016: DevOps workflow with Docker on AWSAWS Vietnam Community

The document discusses DevOps workflow with Docker on AWS. It describes using Docker to isolate application environments, increasing team productivity and decreasing development team size. Key elements include using Gitlab for source control and CI/CD, building Docker images via Gitlab runners, and deploying to Kubernetes clusters. The workflow allows writing applications once and running them anywhere and forever through continuous integration and delivery of Docker images to private container registries on AWS.

Immutable Infrastructure with Packer Ansible and TerraformMichael Peacock

Chicago Microservices Integration TalkChristian Posta

This document discusses integration in the age of DevOps. It describes how microservices help solve the problem of decoupling services and teams to move quickly at scale. Apache Camel is presented as a solution for integration that allows for reliable and distributed integration through mechanisms like messaging. Kubernetes and Docker are discussed as platforms that help develop and run microservices locally and at scale by providing automation, configuration, isolation and service discovery capabilities.

Meetup #3: Migrate a fast scale system to AWSAWS Vietnam Community

The document discusses migrating a fast scaling system from physical servers to AWS. It outlines the agenda which includes an overview of physical systems and virtualization, the Topica Edumall system design, applying DevOps practices, and a Q&A. The Topica Edumall hybrid system is described as using VPS, physical servers, and AWS for core video streaming. Benefits of migrating the auto-scaling system to Docker and Kubernetes on AWS include high availability, easy scaling, auto-healing, and saving 40% costs with full utilization of AWS services. DevOps practices like CI/CD workflows are also discussed.

Ohio Devfest - Visual Analysis with GCPWesley Workman

The document discusses visual analysis using Google Cloud Platform. It provides an overview of Google Cloud services including App Engine, Container Engine, Compute Engine, Datastore, Cloud SQL, and Spanner for building and deploying applications at scale. It also mentions Machine Learning services for tasks like natural language processing, image analysis, and translation. The presentation then demonstrates a photo sharing application built on these services and discusses ways to enhance it further using App Engine Flex, video processing, document parsing, BigQuery, and analytics. It concludes by inviting Python developers interested in visual analysis to discuss job opportunities.

Build a Cloud Day ParisSebastien Goasguen

1) The document summarizes Build a Cloud Day, a conference about open source cloud computing projects hosted by the Apache Software Foundation. 2) It discusses Apache CloudStack, an open source cloud computing platform, and how it provides infrastructure as a service (IaaS) capabilities as a data center orchestrator. 3) Additional related Apache projects that can help build an open cloud include Libcloud, jClouds, Deltacloud, and Whirr, which provide APIs to deploy applications across multiple cloud providers including CloudStack.

Replacing vCloud with OpenNebulaOpenNebula Project

Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...IndicThreads

Session presented at the 2nd IndicThreads.com Conference on Cloud Computing held in Pune, India on 3-4 June 2011. http://CloudComputing.IndicThreads.com Abstract: Cloud Computing has had phenomenal growth over the past year and continues to entrench itself in all facets of IT. Cloud Computing is definitely more than just a buzz word or a passing trend. Now the heavy weights like IBM, HP and SAP are ready lock horns with existing players like Amazon, Salesforce and Microsoft whose offerings have matured over a period of time. Besides these big players, a lot of start ups are coming up with innovative offerings in this space. The talk is about the current state of affairs in the cloud computing. It will cover the products, services and offerings that have been making a lot of noise in the cloud computing space. Following are the main points that will be covered in the talk: 1. New Players: A lot of enterprise market giants are now coming to the cloud party offering infrastructure and platform services. IBM has come out with its SmartCloud for private as well as public clouds. Oracle has released its Cloud-in-a-box solution. The talk will cover all the new offerings by these enterprise giants. 2. Old Players, New offerings – Amazon being the leader in the Cloud Infrastructure space has rolled out a lot of new products and services, strengthening its hold in the market and expanding into the PaaS segment. Amazon Beanstalk, Amazon CloudFormation and EC2 Dedicated instances most notably have the power to be game changers. SalesForce the leader in the Cloud SaaS space released database.com, enterprise cloud database and its “PaaS” offering similar to GAE – VMforce.com This section will cover the new offerings by the players. 3 .Interesting Players in the cloud ecosystem: There have been a lot of new players who are leveraging the cloud to build some exciting products like Scalable API platforms, Cloud-based logging, Java in the Cloud. etc eg. Apigee, PiCloud, Loggly,Cumulogic, Cloudbees being some of them. This section will cover most of the exciting platforms and technologies these companies are working on. 4. Current Trends and Future: This section will cover the current trends(where a lot of startups are investing in) and how the future will look like in the cloud space. Finally, the talk plans to “arm” developers and architects with the latest and cutting edge platforms, products and technologies in the cloud that have been developed and made available over the last year, helping them to leverage the cloud and make better choices leading to higher ROI and lesser TCO. Speaker: Chirag Jog, is the CTO at Clogeny Technologies where the main focus is on Innovation in the Cloud Computing, Scalable Applications and Storage space. He is the chief geek at Clogeny who talks “Cloud” and works on architecting exciting ideas in the cloud space. He has previously spoken at IndicThreads, CloudCamp and other cloud related events.

321 codeincontainer brewboxLino Telera

Lino Telera presents on coding in containers. He discusses how containers can help address issues with traditional applications by allowing development and operations teams to work independently and enabling continuous integration and deployment. Containers isolate code and dependencies, making applications portable and scalable. Telera demonstrates building a simple Python web application, packaging it into a Docker container, and deploying it locally and to the cloud. He notes some challenges around stateful applications and databases in containers.

Operating OpenStack on a BudgetSamir Ibradzic

There is a growing trend today of enterprises leveraging both Amazon Web Services (AWS) and on-premise OpenStack-based private clouds. However, the default networking option in OpenStack remains broken and the plethora of confusing plug-ins makes networking in OpenStack mysterious and difficult to manage. Enter MidoNet, the open source network virtualization solution from Midokura favored by DevOps cultures in web scale enterprises and service providers around the world. This session will present case studies from several end user deployments, showing how they use MidoNet to build, run and manage large-scale virtual networks in OpenStack clouds. The session will also discuss how transitioning from a public to private cloud enables organizations to accomplish much more with the same resources, without over-simplifying the inherent complexity of running an OpenStack cloud.

Operating OpenStack on a BudgetSusan Wu

Fuse integration-servicesChristian Posta

OpenStack Block Storage 101NetApp

OpenStack + Nano Server + Hyper-V + S2DAlessandro Pilotti

Practical PaaS presentationhmalphettes

Sas 2015 event_drivenSascha Möllering

Docker for the enterpriseBert Poller

Cloud Foundry: Hands-on Deployment WorkshopManuel Garcia

Head in the cloudsSteve Mactaggart

The New Open Distributed Application ArchitectureGordon Haff

Cloudsolutionday 2016: DevOps workflow with Docker on AWSAWS Vietnam Community

Immutable Infrastructure with Packer Ansible and TerraformMichael Peacock

Chicago Microservices Integration TalkChristian Posta

Meetup #3: Migrate a fast scale system to AWSAWS Vietnam Community

Ohio Devfest - Visual Analysis with GCPWesley Workman

Build a Cloud Day ParisSebastien Goasguen

Replacing vCloud with OpenNebulaOpenNebula Project

Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...IndicThreads

321 codeincontainer brewboxLino Telera

Operating OpenStack on a BudgetSamir Ibradzic

Operating OpenStack on a BudgetSusan Wu

More from anynines GmbH (18)

Beyond 1000 bosh Deploymentsanynines GmbH

How do you operate over 1,200 deployments on a single BOSH Director? In the past many talks have had the Topic of Cloud Foundry at scale. But how about the underlying automation layer? BOSH has its own set of challenges and limits for running VMs and Deployments at scale. Learn which obstacles and limits came up and how we solved them with the help of the BOSH core development team. Learn how we monitor the directors, be it via logging and metrics or performance indicators. We’ll also show you how we automate BOSH itself to ensure the best experience for end users, and to keep them blissfully unaware of the complexity of the processes working on their behalf After this talk you will also be able to run at least 1,200 deployments on your directors.

Automating the Entire PostgreSQL Lifecycle anynines GmbH

This document discusses automating the lifecycle of PostgreSQL databases. It recommends using BOSH to automate provisioning, configuration, backups, upgrades, and other lifecycle tasks across infrastructure. Key points covered include: - BOSH allows automating the PostgreSQL lifecycle in a repeatable, scalable way across platforms. - It provisions VMs with persistent disks to decouple data from VM lifecycles. - Automation handles high availability clustering, failover, backups to object storage, and vertical/horizontal scaling. - The approach makes dedicated PostgreSQL instances on-demand and automates their full lifecycles.

Kill Your Productivity - As Efficient as Possibleanynines GmbH

An Introduction into Bosh | anynines anynines GmbH

Digital Transformation Case Study | anynines anynines GmbH

Docker & Diego - good friends or not? | anyninesanynines GmbH

Diego & Docker can work together but their friendship has issues. Diego allows Cloud Foundry to run Docker containers by treating Docker containers as Garden containers. However, using both together adds complexity since developers must build Docker images, push them to a registry, and deploy each Dockerized app separately to Cloud Foundry rather than with a single command. While together they provide deployment options, simplifying the process would improve their relationship.

Experience Report: Cloud Foundry Open Source Operations | anyninesanynines GmbH

Cloud Foundry and OpenStack are the biggest Open Source projects in their domain. As IaaS and PaaS walk hand in hand the idea of combining both worlds is close. anynines is running their public Cloud Foundry offering on top of OpenStack for more than three years with two years running on a self-hosted OpenStack setup. As head of public Paas operations Julian Weber has gained a lot of knowledge to share about setting up and operating Cloud Foundry installations. This presentation leads the audience through the journey of adopting the Cloud Foundry Open Source version and breeding it to a highly available and production ready Cloud Foundry setup. The listener is guided through the analysis of potential single points of failure in standard CF Open Source setups up to required changes in the Cloud Foundry OS release to reach our goal. As this talk is about Cloud Foundry operations we also need to talk about experiences with BOSH as a general purpose tool for software lifecycle management of big distributed systems and possible improvements to the BOSH tool set and workflows. The talk will enable advanced DevOps to dive deeper into the technical details of setting up production ready Cloud Foundry installations based on Cloud Foundry Open Source.

Delivering a production Cloud Foundry Environment with Bosh | anyninesanynines GmbH

Building a Production Grade PostgreSQL Cloud Foundry Service | anyninesanynines GmbH

This document discusses building a production-grade PostgreSQL service on Cloud Foundry. Key points include: - Dedicated PostgreSQL instances per service are recommended over shared instances to avoid single points of failure. - On-demand provisioning of instances is essential for scalability and ease of deployment. Bosh is well-suited for automating infrastructure management. - Any necessary PostgreSQL replication and clustering must be automated to support scalability and high availability of the service. - The architecture involves a service broker implementing the Cloud Foundry API, with PostgreSQL-specific logic encapsulated separately for configuration, credentials, and catalog data. Deployments are managed by a Bosh deployer.

Cloud Infrastructures Slide Set 8 - More Cloud Technologies - Mesos, Spark | ...anynines GmbH

Vorlesung - Cloud Infrastrukturen - OpenStack Part 1 | anyninesanynines GmbH

Vorlesung - Cloud Infrastrukturen - Clusterbau | anyninesanynines GmbH

Vorlesung - Cloud Infrastrukturen - Einleitung | anyninesanynines GmbH

Introduction into Cloud Foundry and Bosh | anyninesanynines GmbH

Running Cloud Foundry for 12 months - An experience report | anyninesanynines GmbH

anynines ran a public PaaS located in a German datacenter based on Cloud Foundry. In more than 12 months of running a Cloud Foundry PaaS man lessons about security, high availability, open stack and many other exciting topics have been learned. See how Bosh can be used and how it shouldn't be used. Learn how to perform Cloud Foundry upgrades and read how to harden Cloud Foundry by adding more fault tolerance with pacemaker.

Cloud Foundry on OpenStack - An Experience Report | anynines anynines GmbH

This document discusses experiences migrating from a rented VMware environment to a self-hosted OpenStack cloud and running Cloud Foundry on OpenStack. Some key points discussed include: - Upgrades to OpenStack before the Grizzly release required a lot of manual work and could result in a full week of downtime for instances to be offline. - The upcoming Havana to Icehouse upgrade aims for less than 30 minutes of downtime using Chef to automate configuration changes and testing upgrades on a separate OpenStack staging system. - Random kernel panics, hardware outages, and other factors can kill VMs, so availability zones and aggregates can be used to spread VMs across disjunct networks/racks.

Migrating a Cloud Foundry from VMware to OpenStack | anyninesanynines GmbH

Cloud Foundry is an open source application platform (PaaS) that was migrated from VMware to OpenStack infrastructure in under an hour with less than 30 minutes of downtime. The migration was done to reduce costs by moving from a hosted VMware platform to a self-hosted OpenStack infrastructure, which doubled monthly resources for half the price. Preparation took a week while execution and downtime were brief, and apps and services continued running on the new infrastructure without issue.

Continuous deployment with Cloud Foundry, Github and Travis CI | anyninesanynines GmbH

The document discusses setting up continuous deployment with Cloud Foundry by integrating it with Travis CI. It recommends pushing code to GitHub which will trigger automated tests on Travis CI, and if tests pass, automatically deploy the code to Cloud Foundry. The process can be set up in under 10 minutes by adding a .travis.yml file, activating the Travis GitHub hook, and using the Travis CLI to connect it to the Cloud Foundry target. This enables continuous deployment that runs tests before each deploy and improves the development cycle.