Mature Asia Pacific public cloud services to climb to $7.4bn in 2015, Gartner claims

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Gartner has been gazing at its crystal ball again – and this time the analyst house claims that public cloud services in the mature Asia Pacific (APAC) market will reach $7.4 billion ($4.86bn) this year, and hit $11.5bn (£7.56bn) by 2018.

The analysts assess the ‘mature’ APAC as comprising Australia, Japan, New Zealand, Singapore and South Korea. Cloud management, storage, and software as a service (SaaS) will be among the strongest growers in the interim period, as more enterprise and government users jump onto cloud services.

Ed Anderson, research vice president at Gartner, argues “consistent and stable growth” will occur through 2018, because of the five countries’ relatively advanced tech profiles and solid telecommunications infrastructure.

Gartner sees the majority (52.5%) of the APAC public cloud services market to come through cloud advertising. SaaS will be at 21.5%, infrastructure as a service (IaaS) at just under 10%, business process as a service (BPaaS) at 9.2%, cloud management and security services at 4% and platform as a service (PaaS) at 3%.

CloudTech has covered the Asia Pacific market in detail in the past, with eyes cast over the Indian and Chinese markets respectively. Neither country makes Gartner’s list of mature APAC cloud players, and with good reason; both countries are at a crossroads in their technological development.

The latest report from the Asia Cloud Computing Association (ACCA) saw Japan as clear number one, followed by New Zealand, Australia, Singapore, Hong Kong, and South Korea. These top six countries were defined as ‘ever-ready leaders’. China and India, in comparison, ranked 11th and 13th out of 14 nations respectively, and were described as ‘steady developing’ countries.

“We are anticipating a seismic data revolution once information access in Asia becomes universally cheap, powerful, and available,” the report notes. “And we believe the knowledge economy and cloud computing is the next great leveller for the region, poised to help accelerate the momentum around trade and economic integration in Asia.”

The full Gartner report (subscription required) can be found here.

Off-The-Shelf Technology Sparks Maker Space Race

Off-The-Shelf Technology Sparks Maker Space Race

Using an Intel Galileo microcontroller, a Styrofoam cooler and other do-it-yourself components, technology analyst Jamel Tayeb launched an odyssey to prove the space race is for anyone.

A few days before Elon Musk called off the launch of SpaceX’s AsiaSat 6 to “review all potential failure modes and contingencies again,” another inventor reaching for space sent his makeshift spacecraft 97,000 feet into near space, where it cracked through the Earth’s stratosphere before landing in an Oregon field just 60 miles from the original launch pad.

It’s a clear sign that the space race, once the realm of powerful governments and leading industries, has trickled down to curious individuals empowered with easily accessible, off-the-shelf computer components and gadgets.

Arduino, Intel Galileo and even Raspberry Pi are just a few of the programmable,data-crunching payloads makers are launching into space today to conduct their own near-space science experiments.

 

Compared with SpaceX’s Falcon 9 and Dragon spacecrafts, Jamel Tayeb’s handmade creation seems more like a helium balloon with an uncovered kite frame dangling from a string. But together they show just how quickly space exploration is evolving beyond NASA-led missions to outer space.

It was just two years ago that Falcon 9 made history when it lifted the Dragon spacecraft into orbit for a rendezvous with the International Space Station. It was the first time a commercial company visited the Space Station.

“Traveling into space is not yet as easy as taking the bus,” said Tayeb, a technology analyst who works in the Intel Software and Services Group.

“But today, we can reasonably get into the skies and take a peek — for real — at that shore of the cosmic ocean, as Carl Sagan said. We can get out there, just ankle deep, and run back to the safety of the beach.”

 

That’s what Tayeb did on August 20. His weather balloon-powered creation, fitted with computer hardware that he programmed, allowed him to capture atmospheric data then return to Earth.

High-altitude ballooning is becoming more popular as professional and novice makers build their own computer-powered spacecraft. Last April, 17 countries competed in theGlobal Space Balloon Challenge.

“The best thing about high-altitude ballooning is that it’s an accessible project for everyone, regardless of experience,” wrote Maker Magazine, which covered the international challenge. “The majority of teams built their payloads using Arduinos and Raspberry Pi’s connected to sensors, smartphones/tablets with data-logging apps, cameras hacked with high-capacity batteries, off-the-shelf GPS trackers, and 3D-printed parts.”

 

For Tayeb, building a space balloon craft and capturing his own images of the curvature of the Earth was a childhood dream come true.

He also had other admirable motivations.

“I wanted to generate a blueprint that students and academics could reuse,” he said.

He practiced first on an Arduino MEGA 2560 microcontroller then moved to a Galileo board to build his final spacecraft. After two months of software coding, testing the battery- and solar-powered computer hardware, then collaborating with others to assemble the craft, Tayeb was ready to launch in an open, uncrowded area along Oregon’s Columbia River Gorge.

To get there, it took the help of about 10 people, including friends, co-workers and Joseph Maydell, a former flight controller for the International Space Station at NASA’s Johnson Space Center and founder of High Altitude Science.

 

Tayeb’s craft weighed less than four pounds, just under FAA regulations, which allowed him to avoid registering for permission to launch.

“The bellow weighed 1.3 pounds, the platform was 1.2 pounds and the payload was 1.5 pounds,” he said.

“We used an Eagle Pro Near Space Kit as our platform. In addition of the Eagle Flight Computer, we used two Intel Galileo boards.”

One Galileo was fitted on the outside frame as static, “to immortalize the event,” he said.

 

The second Galileo computer board accounted for the so-called payload, which was nestled in protective styrofoam and focused on capturing flight parameters such as temperature, pressure and altitude.

 

For those who want to know, Tayeb shared details about the payload: he used an Intel Galileo (first generation) microcontroller, a 10200 mAh LiPo battery, DC-DC power booster, uMMC logger module and a MS5607 sensor. The Eagle Flight Computer, which is designed to handle temperatures as low as -60C, was fitted to the platform without thermal protection. The Eagle Flight acted as a backup computer, capturing position, heading and speed.

[Editor’s note: This balloon spacecraft will be in the Ultimate MakerSpace at the Intel Developer Forum in San Francisco September 9-11.]

 

Two GoPro video cameras were fastened to the frame, capturing the voyage in HD.

Combined, the two cameras captured over five hours of video, which amounted to nearly 11 GB of video data.

“Everything gets recorded on-board by each sub-system — computers, cameras, loggers, etc.,” he said. “Then you have to successfully recover the platform so you can extract the data.”

He said there’s no way to view the information in real or pseudo real time while the craft is in flight because even if it was permitted by FCC, the required bandwidth would exceed what’s available to makers today.

Tayeb launched his craft on August 20 after 2 .pm. After about a 3-hour accent through the Jetstream, which the team monitored for weeks leading up to the launch, the craft hovered in near space momentarily before dropping back to Earth, which took about an hour.

 

“We were getting GPS data every 10 minutes,” he said. But he’d have to wait until the craft landed before he could see the atmospheric data collected by the on-board computers.

The craft landed about 60 miles away from the launch spot, something that made Tayeb proud. But when he finally located his craft in an open field of dry grass, the payload was missing.

 

“It got ejected somewhere just at landing and we have not yet found it,” he said.

Disappointed but not deterred, Tayeb calls his first mission a great success.

“Science is a real interesting thing,” he said. “With the right help, a team can make pretty amazing things. Building this awoke the daydreamer inside me.”

Tayeb, who is creating a recipe book so others can create a Galileo-powered spacecraft, says anyone can test scientific theories and the laws of physics on their own. Here are his 5 tips:

  1. Preparation is the key. Prepare your flight in advance. Prepare your recovery in advance. Prepare your payload and launcher in advance. The less improvisation, the more successful you will be. Seek the help of other makers of professionals if in doubt.
  2. Something will go wrong! However prepared you are, there will be unexpected events or behaviors of hardware and software.
  3. There is no-one to reload / restart your code up there, so make it resilient as much as possible.
  4. Safety first! If your platform is stuck in a dangerous location, do not try to recover it by yourself — don’t get caught by the recovery fever. Seek the help of the appropriate professional services.
  5. For the recovery, be methodical, don’t race off until you’ve checked the GPS data. Use Google Earth to plot your easiest pathway to the landing. Satellite view can give you a good hint of the issues you may have to face — so you can prepare for trees, water, etc.

Two Looks at Cloud Readiness In Asia

I had an interesting discussion recently with a key person at the Asia Cloud Computing Association (ACCA), a consortium based in Singapore. The group is funded by companies such as Cisco, Microsoft, HP, EMC, Equinix, NetApp, several global and regional telcos, and many others.

The ACCA, in its words, provides a forum “to collaborate on the requirements of the Asia market from within, with expertise born of local knowledge.” The organization, through the activity of its members, aims to “accelerate the growth of the cloud market regionally by helping remove obstacles and leveraging opportunities.”

Among its activities is the annual publication of a region-wide Cloud Readiness Index. The report integrates and weighs from several sources, in ten areas: Data privacy, international connectivity, data sovereignty, broadband quality, government regulatory environment and usage, power grid and green policy, intellectual property protection, business sophistication, and data center risk.

Japan Leads The Way
Japan is the most highly ranked country among the 14 nations surveyed, followed by Australia, New Zealand, Singapore, Hong Kong, and South Korea. A middle group includes Taiwan, Malaysia, Thailand, and the Philippines. Rounding out the results are China, Indonesia, India, and Vietnam.

The report delves into detail about how it derived rankings in each category, what each nation is doing well and less well, and how each nation can continue to improve. Bandwidth is a big issue, something that is improving with more submarine cables (which deliver 98% of the region’s bandwidth) coming online, and various national commitments to bringing broadband connectivity (as much as 100Mb) to a regional population that includes almost half of the people on earth.

It’s not unexpected to see the survey’s results closely follow income levels; the wealthier a nation, the more capable it should be to develop a strong IT infrastructure, and perhaps institute the freedoms of information flow and helpful governmental policies that enable continued development.

It’s fun to contrast these results with the ongoing search we’ve been doing at the Tau Institute (which was founded in Asia). We take a relative approach, adjusting for income levels and socio-economic factors such as income disparity and perceived corruption. This tends to show less-wealthy countries as performing in a much more dynamic fashion than they appear in traditional ranking systems.

Another Look at Vietnam
So, for example, Vietnam is one of the star performers in our research. It ranks among the world’s top 20 nations on a relative basis, having developed a robust IT infrastructure given its per-person income, which ranks 86th among the 100+ nations we survey.

We also have Japan and South Korea in our global top 20, however, with South Korea slightly head, showing how tremendously well these nations have developed their IT, using their ample economic resources wisely.

China and Indonesia lag in our rankings as they do in the Cloud Readiness Index. India performs better in our ranking than with the Cloud Readiness Index, Thailand performs worsse, with the Philippines and Malaysia doing well but not speactacularly so.

Several Measures
We have developed several different views of our data, measuring not only overall dynamics, but also technology-centric potential; a “Goldilocks Index” that shows whether a nation is too hot, too cool, or just right; an overall challenge index; and a look at what we call instantaneous dynamism, ie, how rapidly is each nation developing at the present moment.

That said, it’s nice to see the amount of data and work that’s gone into the Cloud Readiness Index. I would urge people in business, government, and NGOs to download the full report from the ACCA site – it’s free of charge – as a way of learning a lot about what’s going on in Asia.

With a strong infrastructure and solid policies in place, these nations can start to benefit mightily from learning more about cloud computing and how to design and deploy modern applications and services on a modern architecture.

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A Look into Our Crystal Ball By @CarpathiaHost | @CloudExpo [#Cloud]

At the start of a new year we have the opportunity to look ahead and think about what trends will likely shape the coming months. 2015 is poised to be transformative for government agencies and enterprises, as an increasing number of organizations look to modernize their computing environments, expand their focus on secure and compliant hosting, and meet the growing demands of an increasingly mobile workforce. What trends will we see emerge this year?
Here are the top seven predictions we see for 2015.

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Announcing @LiaisonTech Named “Silver Sponsor” of Cloud Expo NY [#Cloud]

SYS-CON Events announced today that Liaison Technologies, a global provider of secure, cloud-based data management and integration services and solutions, has been named “Silver Sponsor” of SYS-CON’s 16th International Cloud Expo®, which will take place on June 9–11, 2015, at the Javits Center in New York, NY.
Liaison Technologies is a global data management and integration company. It provides innovative solutions to integrate, transform, harmonize, manage and secure critical business data on-premise or in the cloud. With a comprehensive array of business-to-business and application-to-application integration and data transformation services, as well as on-premise and cloud-based data security solutions, Liaison’s practitioners implement data management infrastructures adapted to each client’s specific business requirements. Headquartered in Atlanta, Liaison has offices in the Netherlands, Finland, Sweden and the United Kingdom.

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DevOps automation: Financial implication and benefits with AWS

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Automation applied to efficient operations can lead to a gain in efficiency that directly translates to the bottom line of a business. This article is about how DevOps automation in an Amazon Web Services (AWS) environment has tangible financial implications and benefits.

It is no surprise that cloud computing brings with it monetary advantages, which are realised when an organisation trades fixed capital expenditure (CAPEX) for variable operational expenditure (OPEX) on a pay-as-you-go usage model (learn more about Capex vs. Opex). In AWS environments, savings are further realised because there are no wasted resources as a result of the auto scaling capabilities inherent in AWS. As a result of automation, the gap between predicted demand and actual usage is minimised, something that is rarely possible in traditional, on-premises technology deployments.

Moreover, automation allows the continuous deployment of new infrastructure to be accomplished within a matter of minutes, making it possible for a quick time to market without the significant collateral damage of failed deployments. These benefits are further amplified when automation is in place. DevOps solutions, such as CloudFormation and OpsWorks within the AWS service offerings, make this automation possible.

AWS CloudFormation automates the provisioning and management of AWS resources using pre-built or configurable templates. These templates are text-based with configurable parameters that can be used to set up the version, map the region where the resources need to be deployed, and set up the resources and security groups that need to be provisioned automatically.

AWS OpsWorks makes it possible to automatically spin up new instances of AWS resources, as and when needed, and also change configuration settings based on system event triggers. Manual operations to perform some common activities – e.g. installing new applications, copying data, configuring ports, setting up firewalls, patching, DNS registrations, device mounting, starting and stopping services and rebooting – can all be automated using the AWS DevOps OpsWorks product, or by using additional configuration management frameworks such as Chef or Puppet.

In addition to AWS DevOps solutions, AWS also provides application management tools that can automate code deployment (AWS CodeDeploy), source code control and commitment (AWS CodeControl) and continuous deployment (AWS CodePipeline). In addition to making it possible to rapidly release new features, AWS CodeDeploy can be used to automate deployment, which reduces manual error-prone operations that could be costly from which to recover.

AWS CodeControl can be used to manage source code versions and source control repositories, ensuring that the correct version is deployed, thereby reducing the need to rollback, which can be expensive from the perspective of time lost, missed deadlines, and missed revenue opportunities. AWS CodePipeline makes infrastructure and application release seamless and automated, reducing the operational costs of checking-out code, building the code, deploying the application to a test and staging environment, and releasing it to production.

The automation and auto scaling of infrastructure and applications in AWS environments allows a business to benefit from both reduced time and cost. AWS automation in Amazon’s cloud computing service offerings not only makes the business operations more efficient, but also magnifies the efficiencies gained, which will have a direct impact on the bottom line – the financial posture of the business.

The post DevOps Automation: Financial Implication and Benefits with AWS appeared first on Cloud Computing News.

How cloud providers can prevent data loss: A guide

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Feature Cloud service providers find themselves in a struggle balancing responsibility for maintaining data integrity with delivering cost effective solutions to their customers, all the while protecting their own data assets and bottom line.

Generally, the type of service they are delivering limits a provider’s responsibility level. In the case of infrastructure as a service (IaaS) a provider might just be delivering infrastructure and a means of creating cloud environments with no provision of customer data backup. As part of a platform as a service (PaaS) offering backup and other forms of data protection may well be key selling points.

Basic types of data loss include data destruction, data corruption and unauthorised data access. The reason for these types of loss a varied and include infrastructure malfunctions, software errors and security breaches. Due to the complexities around data centre and cloud security, this article will deal destruction and corruption of data only.

Definition of data loss domains

There exist many types of data within a cloud environment – infact too many to enumerate. These data types can be classified into general categories or data domains. The importance of these domains, to the constituents of the cloud environment, gives rise to the concept of data loss domains or, who is effected most and how much impact is there if the data is lost. The above diagram represents the three major data domains; provider non-customer effective (PNCE), provider customer effective (PCE) and customer (CUST) and in the case of the provider domain examples of the types of data. This section will define the domains and the data types.

Provider data non-customer effective (PNCE)

The data loss domain contains information that belongs to the cloud service provider and has no effect on the customer. This information if lost or damaged will have a significant impact on the provider and their ability to conduct business.

On the other hand, loss of this data has little to no effect on the customers. For example if billing information were lost and irretrievable the customer would probably not mind. The obvious responsibility for protecting this data lies with the provider. The following is a short list of examples of PNCE data:

  • Business management data
    – Billing and metering information
    – Service quality data
    – IT Benchmarking data
  • Environment management data
    – Development/DevOpS data
    – Inventory and configuration management data
    – Performance and capacity management data
  • Security data
    – Security systems management
    – ID management, authentication and authorisation data
  • Logging data
    – System logs
    – Network activity logs
    – Security logs

Provider data customer-effective (PCE)

The domain represents that data which is owned by the provider and significant to the provider for business reasons (the provider needs to know how many VMs a customer has created) and significant to the customer as it defines their cloud deployment.

Both provider and customer will be impacted in the case of loss and responsibility – for protected the data is shared but primarily falls on the provider. For example, Virtual Machine configurations are the responsibility of the provider to protect but not if they are marked transient (the usual default state). If they are marked transient, then no protection is required. Some of the data types that fall into this domain are:

  • Self-service portal data
    – Blueprints
    – Environment default settings
  • Virtual infrastructure configuration
    – Virtual machine/compute configurations
    – Virtual networking (SDN, vRouting, vSwitching, VLAN, VXLAN)
  • Orchestration and Automation
    – Provisioning and provisioning management
    – Promotion

Customer data

Customer data can take an infinite number of forms but constitutes the universe of data need to run customer developed and/or deployed services. The customer owns this data and is responsible for its protection unless otherwise arranged with the provider.  A customer may choose to have a cloud service provider replicate, back-up or otherwise protect customer owned data based on an agreement with the provider. These services generally take the form of a financial and service-level agreement between the parties. 

Preventative measures

Just because the IT world now lives, or is moving to the cloud, doesn’t mean that the rules of data protection have changed. We still need to measure Recovery Point Objective (RPO) and Recovery Time Objective (RTO) the same way that we have in the past. We still need to implement data protection solutions based on the balance of RTO/RPO, the criticality of data and the cost of implementation. We still tend to implement multiple solutions or multiple tiers of solutions to suit the environment.

The difference is, as we have shown above, who owns the data and who is responsible for the protection of the data.

There are some general categories of data protection methods that can be used, and should be considered in an effort to prepare an environment for minimized data loss. They include:

  • Disk level data protection – This can be the old, and still best practice, of RAID based protection of disk resources. Another, option is Scale-out storage (ex. EMC Isilon, Nutanix) which spreads data across multiple nodes of the data cluster.
  • Backup/replicated backup – The periodic backing up data to a lower tier, lower cost medium. The advances in disk-based backup and replication technologies have lowered the cost, increased efficiency and raised the level of recoverability of backup and recovery solutions.
  • Data replication – Data replication technology has existed in one form or another for a number of years. Data written to one set of storage resources is automatically replicated, via software, to secondary storage. The problem for most of replication technology’s history has been accessibility and granularity. Technologies such as SRDF have always been highly reliable but the ability to access the data from primary and secondary resources and the ability to retrieve any but the most recent information were not possible.
  • Journaled/checkpoint based replication – Enter journaled files systems and checkpoint based replication. This type of technology (e.g. EMC Recoverpoint) allows not only read/write access to either side of a replicated storage set, but also the ability to recover data at a point in time.

Protecting Data

Now that we understand the data and the means for protecting it we can now move on to the process for doing so. Two major steps are necessary for a cloud service provider to consider, classifying data and building a flexible DP environment. 

The following template can be used to classify the data that needs protecting:

Data domain      Data type     Criticality     RTO/RPO     DP Method    
 1  –      
 2  –      
 3  –      

Once RTO/RPO and criticality characteristics of the data are understood, an intelligent decision about protection method and frequency of execution can be made. For example if a data set has a low RPO (transactional) then replication with frequent snapshots might be necessary. If a data set has a high RPO (low rate of change) then low frequency backup should suffice.

The following diagram shows an example environment including data protection elements:

The combination of clear classification of data and a comprehensive data protection solution, including tools, infrastructure, processes and procedures should be a major goal of the cloud service provider. Planning and execution around these concepts will allow the service provider to remain fiscally responsible while maintaining their data protection responsibilities to their customers.

SOASTA Adds RUM to CloudTest Solution | @DevOpsSummit @CloudTest [#DevOps]

SOASTA has combined its two testing and monitoring products into a single solution for continuous performance analysis for mobile and Web applications. SOASTA CloudTest now incorporates mPulse, the company’s Real User Monitoring (RUM) solution, which integrates complete performance data from real users to ensure continuous peak performance of digital businesses.

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The ‘IT-ification’ of Business… By @ExtraHop | @CloudExpo [#Cloud]

A few years ago, there was much ado about the “consumerization” of IT, and its impact on IT operations. As a CIO, “consumerization” was an issue, but in my experience the more profoundly impactful trend has really been the “IT-ification” of business. I’ve spent the last 20 years watching as information technologies creep into every aspect of business operations, from human resources to point-of-sale systems to healthcare delivery. While we’ve been moving in this direction for a while now, I believe that 2015 is the year when organizations will really begin to understand just how strategic a weapon IT can be. Over the next 12 months, expect to see the following trends crystallize around the recognition of the strategic business value of IT.

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Announcing @NimbleStorage to Exhibit at @CloudExpo New York [#Cloud]

SYS-CON Events announced today that Nimble Storage, the flash storage solutions company, will exhibit at SYS-CON’s 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY.
Nimble Storage (NYSE: NMBL) is redefining the storage market with its Adaptive Flash platform. Nimble’s flash storage solutions enable the consolidation of all workloads and eliminate storage silos by providing enterprises with significant improvements in application performance and storage capacity. At the same time, Nimble delivers superior data protection, while simplifying business operations and lowering costs. At the core of the Adaptive Flash platform is the patented Cache Accelerated Sequential Layout (CASL) architecture and InfoSight, an automated cloud-based management and support system that maintains storage system peak health. More than 4,300 enterprises, governments, and service providers have deployed Nimble’s flash storage solutions across 38 countries.

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