In a presentation from Day 1 of the OpenStack Summit in Vancouver, Jonathon Bryce, Executive Director of the OpenStack Foundation announced the rollout of the initial round interoperability protocols and testing to ensure that OpenStack distributions successfully interoperate with one another. Currently, 16 companies have interoperability testing results available and the OpenStack Foundation plans to ensure the application of its interoperability testing on all OpenStack-branded products during the remainder of 2015. Bryce also notes that over 30 OpenStack products and services in the marketplace have pledged to support federated identity. Bryce’s elaboration on the aggressiveness of the OpenStack Foundation’s efforts to ensure the development of a common OpenStack core stack across all distributions suggests that OpenStack is likely to live up to the promise of interoperability and open standards that constituted part of its core vision as an open source IaaS platform that allows customers to migrate workloads from one OpenStack environment to another with ease. Companies that have produced live interoperability results at present include IBM, SwiftStack, Red Hat, Bluebox, Rackspace and Mirantis.
On Monday, Google introduced Google Compute Engine pre-emptible virtual machines. Pre-emptible machines enjoy a 70% discount on standard pricing but may be shut down at any time and have a maximum runtime of 24 hours. The larger vision behind pre-emptible machines involves Google’s objective of reclaiming computing capacity depending upon the intensity and duration of other workloads within its public cloud environment. By shutting down pre-emptible machines and recovering compute capacity, the Google Cloud Platform can maintain a high degree of performance without spinning up additional VMs, thereby saving operational overhead and concurrently passing along some of the attendant cost savings to the customer. Given the unpredictability with which pre-emptible virtual machines may be shut down, they are suited only for select use cases such as massive data processing, data analytics, visual effects and simulations that are not time sensitive with respect to the allotted time period for their completion. Pre-emptible machines are ideal for applications that are architected such that they can handle the termination of a few VMs on a periodic basis. Meanwhile, customers stand to enjoy fixed pricing in addition to the 70% pricing discount and may subsequently decide to allocate a designated percentage of their fleet of VMs to pre-emptible machines in recognition of the way in which their computational processing is only minimally impacted by periodic VM shutdowns. Google announced pre-emptible virtual machines in conjunction with significant price cuts for VMs for Google Compute Engine amounting to a maximum of 30%. Google’s elaboration of Google Cloud Platform price cuts and the availability of pre-emptible machines indicate the intensity of competition in the IaaS space where prices skyrocket downward as major players such as Microsoft and Google intensify their assault on Amazon’s stranglehold on the leadership position in the IaaS space.
After submitting the tech analyst community to years of speculation about the precise revenues of Amazon Web Services, Amazon took the lid off its financials on Thursday to reveal that its cloud computing business does over $5B in annual revenue. In the first quarter of 2015, Amazon Web Services generated $1.57B in revenue while sustaining operating expenses of $1.31B, leaving $265M in operating income. The $1.57B in revenue earned by Amazon Web Services in the Q1 of 2015 exceeds the $1.05B the company earned in the first quarter of 2014 and illustrates year over year revenue growth of 49%. Meanwhile, AWS’s $265M in operating income from Q1 of 2015 surpasses the $245M in operating income specific to Q1 of 2014 by 8.1%. In 2014, Amazon Web Services garnered a net operating income of $660M based on the aggregate of $245M, $77M, $98M and $240M in Q1, Q2, Q3 and Q4 of 2014, respectively.
Amazon CEO Jeff Bezos commented on the financials of Amazon Web Services by noting:
Amazon Web Services is a $5 billion business and still growing fast — in fact it’s accelerating. Born a decade ago, AWS is a good example of how we approach ideas and risk-taking at Amazon. We strive to focus relentlessly on the customer, innovate rapidly, and drive operational excellence. We manage by two seemingly contradictory traits: impatience to deliver faster and a willingness to think long term. We are so grateful to our AWS customers and remain dedicated to inventing on their behalf.
Here, Bezos proudly comments on the growth of Amazon Web Services and its track record of innovation and commitment to operational efficiencies and excellence. Created in 2006, the company has revolutionized cloud computing within less than a decade and launched, within the first quarter of 2015 alone, products such as AWS Lambda, support for Docker via the Amazon EC2 Container Service and Amazon Machine Learning. As a subsidiary of Amazon, AWS’s revenue of $1.57B represents a significant percentage of Amazon’s total $22.7B in revenue but AWS will need to be concerned that its 49% year over year revenue growth for Q1 of 2015 marks a sharp decline from year over year growth for Q1 of 2014, which was 69%. The decline in year over year revenue growth points to the emergence of other market players such as Microsoft Azure, Google Cloud Platform and Rackspace as detailed in a recent 451 Research Group report, all of which will continue to challenge AWS for market supremacy in the IaaS space in the months to come, even though AWS remains the clear front-runner, hands down.
According to a 451 Research Vendor Window assessment, the battle for IaaS leadership has intensified even though Amazon Web Services (AWS) remains the clear front-runner. Respondents to the 451 vendor evaluations revealed that 57% of enterprise customers use AWS whereas Microsoft Azure is used by 42% of customers. AWS was cited as the most important customer in 35% of all cases, ahead of Microsoft Azure, which garnered 20% of votes in the same category. Rackspace earned the highest ratings for the IaaS vendor capable of fulfilling Guaranteed SLAs and was tied with AWS for its ability to fulfill customer needs. While AWS received high ratings with respect to Experience and Technical Innovation, Microsoft Azure, in contrast, was rated lower than most of its competitors with respect to Experience and Support for Open-Source Software. Meanwhile, in the private cloud market, the 451 Research Vendor Window Assessment found that VMware claims a presence in 70% of enterprises with its ESX and vCloud virtualization platforms. Nevertheless, the survey also found that more than 70% of VMware customers have deployed other solutions for private clouds such as OpenStack or Microsoft Cloud OS, for example.
Michelle Bailey, Senior Vice President, Digital Infrastructure and Data Strategy at the 451 Research Group, remarked on the significance of the findings as follows:
While the 2015 Vendor Window for IaaS shows Amazon Web Services as the clear leader based on multiple metrics, Microsoft Azure, Rackspace and VMware’s vCloud Air are becoming competitive challengers. As more mainstream customers move business-critical workloads to cloud environments, the decision criteria for evaluating potential vendors change relative to early cloud adopters, and in turn so do the vendors under consideration.
Here, Bailey notes how the IaaS assessment reveals the emergence of “competitive challengers” to the leadership role of Amazon Web Services as the criteria for IaaS vendor selection evolves in relation to the evolving maturity of cloud adoption within the enterprise. The bottom line here is that, even though Amazon Web Services remains the most widely used and, in many ways, respected vendor within the IaaS space, enterprises are increasingly reviewing alternative options to AWS, particularly as the space features an increasing number of robust options that can variously go toe to toe with AWS regarding attributes such as customer service and ability to support SLAs. More importantly, the battle for IaaS market share is likely to become even more competitive as the progressive maturity of Big Data technologies and analytics means that enterprises are likely to seek cloud platforms that can not only support, but also streamline and simplify the adoption of Hadoop and NoSQL. Regardless, exciting times are ahead for the cloud industry as IaaS vendors mature their product and service offerings in ways that give customers the confidence to select multiple vendors to minimize risks of vendor lock-in while concomitantly enriching their knowledge of the IaaS space by sampling the heterogeneity of offerings available on the market today.
Amazon Web Services recently announced the availability of machine learning technology that allows developers to create predictive analytics by using the same algorithms that Amazon uses to manage its supply chain inventory and operations. Amazon’s Machine Learning platform empowers developers and data scientists with the ability to identify patterns and predictive analytics for data stored in Amazon S3, Amazon RedShift and Amazon Relational Database Service. By using Amazon Machine Learning, developers can obtain analytic insights without writing custom-built predictive analytics-based applications that require complicated scripting, debugging, code deployment and application management. In addition to enjoying the benefits of preconfigured machine learning libraries and wizards that accelerate access to pattern recognition and predictive analytics, Amazon Machine Learning enables customers to enjoy the benefits of a scalable platform capable of generating billions of predictions per day in real-time. Popular use cases for Amazon’s Machine Learning technology include the detection of fraud, the ability to personalize web-related content and deliver targeted marketing campaigns that iteratively become more effective in conjunction with the evolving sophistication of the predictive model. Amazon’s Machine Learning platform competes directly with Microsoft Azure’s Machine Learning platform that was released in public preview in July 2014. By rendering available the same technologies used by Amazon’s data scientists, Amazon adds yet another incentive for customers to leverage its ever expanding portfolio of cloud and big data products and services. The increasing availability of machine learning technologies underscores the democratization of analytics enabled by the contemporary cloud and big data revolution, even though many of the solutions available on the market remain proprietary and attached to usage of a larger IaaS platform.
Piston Cloud Computing today announced the availability of Piston Cloud OS 4.0, an operating system that builds upon the company’s platform for deploying enterprise-grade OpenStack deployments by enabling customers to deploy Hadoop and Spark on bare metal. In addition to support for Hadoop and Spark, Piston CloudOS 4.0 will support Kubernetes, Mesos and Docker Swarm in a forthcoming release. As such, Piston CloudOS 4.0 represents a notable expansion of Piston CloudOS because it aims to support the larger vision of empowering enterprises to quickly deploy the infrastructure and applications they need by using a unified platform in contrast to siloed platforms and interfaces. In its current state, Piston CloudOS 4.0 supports the open source Apache Hadoop distribution but plans to support commercial releases of Hadoop in the future as illustrated in the graphic below:
The graphic shows how Piston CloudOS 4.0 aspires to become a one stop shopping ground for frameworks that allow enterprises to launch application development, application management and data analytics-related projects. The deployment of Hadoop on bare metal allows organizations to enjoy performance benefits in comparison to virtualized environments, thereby enabling in-memory technologies such as Apache Spark to function at a high level of performance. By delivering the capability to enjoy push-button deployments of Apache Hadoop and Apache Spark, Piston Cloud accelerates the operational agility of deployment teams that are interested in spinning up virtualized, cloud infrastructures in conjunction with bare-metal environments for their Big Data use cases. Moreover, by supporting technologies such as Docker, Mesos, Kubernetes, MongoDB and Cassandra, Piston Cloud gives customers an impressive array of frameworks and tools in what amounts to the industry’s first turnkey platform for cloud, Big Data and container management. Another advantage of Piston CloudOS 4.0 is that it gives users the ability to redistribute workloads across different frameworks to ensure the continued optimization of the infrastructure.
While Piston CloudOS 4.0 represents an important complement to Piston’s renowned OpenStack capabilities, the obvious question raised by this product offering concerns the significance of the company’s decision to pivot on its core OpenStack offering toward a platform that embraces a broader set of use cases and workloads. While the decision to shift course from a pure OpenStack-play strategy constitutes an astute move to gain an early foothold in the emerging market for integrated cloud, Big Data and application management platforms, the attendant question involves the long-term viability of commercial OpenStack solutions as a standalone offering, particularly in light of Nebula’s decision to close on April 1. Regardless of its implications for OpenStack, however, Piston’s new CloudOS platform represents a noteworthy intervention in the evolution of cloud and Big Data technologies by delivering a unified platform for OpenStack-based infrastructure provisioning, Hadoop deployment and, in forthcoming releases, container management and access to NoSQL as well. The bewildering heterogeneity of cloud, Big Data and application management technologies means that unified interfaces for the provisioning of infrastructures and associated data and applications promise to simplify the workflows and technology management overhead faced by organizations. Meanwhile, by tying OpenStack deployments more closely to contemporary data and application frameworks, Piston promises to increase the attractiveness of its core OpenStack offering by surrounding it with technologies and frameworks that are garnering increased traction in the enterprise.
Network virtualization startup Midokura joined the OpenStack Foundation on Tuesday as a corporate sponsor. Midokura is the steward behind the open source software-defined, networking platform MidoNet that delivers virtualized networking solutions for IaaS platforms such as OpenStack. Midokura open-sourced its MidoNet platform in November 2014 with the intent of democratizing access to its virtualized networking solutions while concurrently launching an enterprise-grade version of MidoNet that includes a layer of professional services aimed at production deployments. Midokura’s MidoNet platform claims scalability, performance and security advantages over the Open vSwitch (OVS) plugin provided by OpenStack. In a press release, Midokura remarked on the value of MidoNet to OpenStack deployments as follows:
As the OpenStack project now hits its five-year mark, nearly two-thirds of users recently surveyed by the OpenStack Foundation still have concerns about OpenStack Neutron. Midokura’s disruptive MidoNet technology fulfills this need by replacing the default OVS plug-in from OpenStack deployments to offer a much more scalable and efficient networking solution for highly virtualized cloud environment. The result is that OpenStack users can easily support production-grade deployments to fulfill explosive enterprise demands – all while benefiting from the freedom of open source by forgoing the need to lock in with a single private vendor.
Here, Midokura highlights the scalability benefits delivered to OpenStack deployments by MidoNet, particularly as it relates to environments with “explosive enterprise demands.” MidoNet decouples OpenStack from network infrastructures by creating an abstraction layer that lies between the physical network and hosts. As a result, users can create a distributed overlay networking infrastructure that allows for changes to the virtual network without corresponding disruptions to the physical infrastructure of the network. The larger significance of MidoNet is that it gives OpenStack customers an enhanced range of options regarding scale-out networking solutions, while remaining true to OpenStack’s open source philosophy and vision. By joining OpenStack as a corporate sponsor, Midokura stands to strengthen its already deep and collaborative relationship with the OpenStack Foundation and position itself more strongly to render MidoNet the de facto networking solution of choice for the OpenStack community.