Recent Events & Webinars
Session: The Elephant in the Cloud at IBM Information on Demand
The massive computing and storage resources that are needed to support big data deployments in general, and Hadoop in particular, make cloud environments, public and private, an ideal fit. Managing your big data app, however, is no walk in the park - especially when considering the fact that these systems and application stacks often include other services beyond Hadoop such as: relational databases, other NoSQL databases and more, where each framework comes with its own management, installation, configuration, and scaling solutions. This is where Cloudify fits in. Cloudify provides consistent management that makes the provisioning, deployment, and scaling of your Hadoop system simple and consistent with the rest of your stack. What's more, it enables cloud portability between bare-metal and public cloud offering for Hadoop/BigInsights making it possible to run your system on the right cloud for the job—public/virtualized environment for on-demand workloads and bare-metal for I/O intensive operations.
Session: Lightning Talk #5 - Cassandra on ACID Speaker: DeWayne Filppi (GigaSpaces)
In this video, Uri Cohen speaks to The Cube at the Cassandra Summit 2012 with John Furrier and Jeff Kelly on all things Cassandra, big data, and cloud.
Session: Take Any App to the Cloud of Your Choice Speaker: Uri Cohen Description: The massive computing and storage resources that are needed to support big data applications make cloud environments an ideal fit. Now more than ever, there is a growing number of choices of cloud infrastructure providers, from Amazon AWS, OpenStack offered by the likes of HP, Rackspace and soon even Dell, VMware vCloud as well as private cloud offerings based on OpenStack, CloudStack, vCloud, and more. There is also a new class of bare-metal clouds from SoftLayer and PistonCloud that provide high performance resources designed for I/O and CPU intensive applications that don't run as well on a virtualized resources. The recent announcements by Google & Microsoft about their new infrastructure as a service offerings, add additional significant players to this growing marketplace. Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility to choose the right cloud for the job. In this session, you'll learn how to deploy and manage a Cassandra cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called "Cloudify."
Marrying DevOps and PaaS: Tools like Chef and Puppet have gained a lot of momentum in the last year or so. But the concept of DevOps and recipes can go well beyond setup, to actually accelerate the entire lifecycle of your applications, from setup, to monitoring, through maintaining high availability, and auto-scaling when required. In this session we'll see how to use Chef and Cloudify together to create a complete and powerful application level orchestration on any cloud, using Cloudify and Chef. More specifically, we'll learn how to automatically provision nodes on the cloud of your choice, based the requirements of your application, auto install Chef client on the provisioned VMs and run the proper Chef roles and recipe on them, and then monitor and auto scale the installed application.
Uri Cohen, at the San Francisco Cloud Mafia Meetup on June 21, 2012, on Deploying Your Big Data App on OpenStack.
In this webinar Uri Cohen, VP Product Management, presents the challenges involved with deploying and managing big data apps on the cloud and then, introduce Cloudify — our open source PaaS stack, and demonstrate how it facilitates this.
MongoDB supports an automated sharding architecture, enabling horizontal scaling across multiple nodes. With MongoDB you can convert to a sharded cluster, automatically managing failover and balancing of nodes, with few or no changes to the original application code. Managing a sharded mongo setup is no trivial task. In this webinar, Uri Cohen, VP Product Management will teach you how to easily set it up, monitor and scale it on any cloud environment using Cloudify.
In this webinar, Uri Cohen, VP Product Management will tell you about Cloudify, how it works, and will show you a demo of Cloudify in action.
Upcoming Events and Webinars
Cloudify’s Uri Cohen will speak about “Building your own OpsWorks with Chef, Cloudify and OpenStack” at the 3rd OpenStack Israel. AWS OpsWorks is a DevOps solution for managing applications of any scale or complexity on the AWS cloud. With OpsWorks you can manage your complete application lifecycle, including resource provisioning, configuration management, application deployment, software updates, monitoring, etc. However, OpsWorks is only applicable to AWS. What if you could create and manage a similar service on top of OpenStack?
Cloudify takes a similar approach to OpsWorks by allowing users to compose application stacks by building on top of Chef recipes or Puppet manifests and supporting application level concerns such as orchestration, multi-tier dependency management, monitoring and auto-scaling recipes. In this session we’ll introduce Cloudify and how it leverages Chef and Puppet as a key enabler for an OpsWorks-like framework on top of OpenStack.
The Cloudify Team will be on the ground at this year’s Cloud World Forum. Come stop by the booth to hear about updates and what’s new in Cloudify. The team has been invited to participate on a panel with other industry experts in the Cloud Computing arena. Details of the panel will be posted shortly.Venue: National Hall Olympia, London (Map)
Ruby has been the most popular DevOps language to date, providing excellent built-in features for DevOps, as well as being used in leading DevOps tools such as Chef, Puppet, Noah and others. However, for developers focused on the JVM, mastering Ruby and Ruby-based tools is not always a trivial option.
The release of Groovy 2.0, the emergence of new Groovy based DevOps tools such Gradle, Cloudify and Glu, and also a few built-in features in Groovy such as AntBuilder and Grapes, make Groovy a good candidate to serve as a DevOps foundation for JVM-oriented developers.
In this meetup, we’ll run a head-to-head showdown between Ruby and Groovy. We’ll have experts from both camps debate various DevOps related aspects of both languages such as ease of use, portability, file system and other admin operations support, external process management, security, speed, echo system, etc.
We welcome your involvement, so if you feel you’re up to the challenge and want to take part in the showdown, please let us know!