Cloud Analytics Academy aims to give companies extra BI and data warehousing expertise

Say hello to the Cloud Analytics Academy. The program, launched today by Snowflake Computing alongside Amazon Web Services (AWS), Looker, Talend and WhereScape, aims to help executives lead their organisations in data warehousing, BI, and more.

The curriculum is designed by Kent Graziano, Snowflake chief technical evangelist, with the partnering companies chipping in with their expertise.

There are three courses; the ‘executive fast track’ is the one-size-fits-all course with five sessions on key technologies and key techniques; the ‘cloud foundation track’, being aimed more as a beginner’s course, and the ‘modern data analytics track’, which is focused more at advanced users and strays into topics such as agile data warehousing and Python.

Prospective students are encouraged to take all three courses; completing one track earns a Cloud Analytics Academy certification, while completing all three means they achieve Academy Master certification.

“Organisations of all sizes now face enormous pressure to deliver analytics faster and at a lower cost than ever before, and many are looking to the cloud to address these challenges,” said Mark Budzinski, CEO of WhereScape. “We’re excited to partner with Snowflake to help data professionals gain the knowledge needed to maximise the benefits cloud data warehousing offers.

“We also want to help data professionals understand how automation can help IT be more agile in their development and operational efforts to deliver value to the business faster,” added Budzinski.

The press materials cite a Gartner report which puts growth of the worldwide software as a service (SaaS) market at more than 63% by 2020. According to a study from BARC Research and Eckerson Group, four in five firms said they were planning to increase the use of cloud for BI and data management in the coming year.

You can find out more about the Cloud Analytics Academy here.

Facebook looks to wind power for Nebraska data centre

Facebook’s newest data centre in Nebraska will be entirely wind-powered, as work on a $430 million wind farm in the region begins.

The Rattlesnake Creek wind farm, built by Enel Green Power North America, the renewable energy arm of the Enel Group, will have a total installed capacity of 320 MW, 62.5% of which will be sold to Facebook to power its data centre in Papillon, approximately 120 miles from the installation.

The Nebraska data centre constitutes Facebook’s sixth data centre in the US, and ninth globally. Facilities already exist in Oregon, Iowa, and North Carolina, with plans underway in Texas and New Mexico, while its portfolio outside of the US consists of sites in Lulea, Sweden, Clonee, in Ireland, and Odense, in Denmark. According to a report from the Omaha World-Herald in June, when Facebook awarded contracts to subcontractors from neighbouring states, the site was expected to ‘take shape’ by Thanksgiving.

“This project consolidates our growing presence in the US as our company enters into a new state and expands our business with new partners,” said Antonio Cammisecra, head of Enel Green Power in a statement. “We are thrilled to be able to support Facebook’s growing renewable energy needs in Nebraska and be part of driving economic development in the region.”

On the other side of the coin, Digital Realty has announced the launch of a second data centre in Frankfurt. The company, with more than 130 data centres across the globe, says it aims to capitalise on what it describes as the second largest market in Europe behind London. Companies with operations in Frankfurt include Amazon Web Services, Rackspace and Alibaba to name a few.

“Given its central location, excellent infrastructure, and concentration of leading international businesses, Frankfurt is widely regarded as the connectivity, commercial and financial capital of Germany,” said William Stein, Digital Realty CEO in a statement. “We are pleased to be able to support our customers’ global growth requirements on our state of the art Sossenheim campus.”

According to recent industry figures, Digital Reality continues to compete alongside Equinix for supremacy in the colocation market. The former confirmed its merger with Dupont Fabros Technology in September – with a total enterprise value of more than $35 billion as a result – while the latter completed the acquisition of 29 data centres from Verizon, beefing up their respective stakes.

Equinix’s most recent customer win came in the form of Singapore-based DBS Bank, who announced earlier this week that it would become the first bank in the country to launch a new cloud-based data centre. The move is alongside more general cloudy ambitions for the bank, with partnerships already in place with AWS and Pivotal Cloud Foundry.

Office 365 Design & Migration: How GreenPages Can Help

Check out the infographic below to learn about how GreenPages recently helped a global manufacturing company simplify management, increase security and improve user experience with Office 365 design & migration.

Learn how we can help you lower cost, reduce risk and increase services efficiency.

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Hey there! While you’re here, check this out:

Interested in a managed services or help desk solution? If you’d like to decrease time to resolution, measure service improvement, build a first-class knowledgebase, and leverage support communities, listen to this recent presentation from Jay Keating, SVP of Cloud and Managed Services, and Steven White, Director of Customer Service.

By Jake Cryan, Digital Marketing Specialist

[video] How Serverless Changes Cloud, and Your Job | @CloudExpo @CloudTP #CloudNative #Serverless #DevOps

In a recent survey, Sumo Logic surveyed 1,500 customers who employ cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). According to the survey, a quarter of the respondents have already deployed Docker containers and nearly as many (23 percent) are employing the AWS Lambda serverless computing framework.
It’s clear: serverless is here to stay. The adoption does come with some needed changes, within both application development and operations. That means serverless is also changing the way we leverage public clouds. Truth-be-told, many enterprise IT shops were so happy to get out of the management of physical servers within a data center that many limitations of the existing public IaaS clouds were forgiven. However, now that we’ve lived a few years with public IaaS clouds, developers and CloudOps pros are giving a huge thumbs down to the constant monitoring of servers, provisioned or not, that’s required to support the workloads.

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Machine learning, containers and DevOps among McKinsey top 10 enterprise infrastructure trends

Machine learning-optimised stacks, container-first architectures and DevOps for both software and hardware are among the key trends redefining enterprise IT infrastructure, according to a new report from McKinsey.

The piece, authored by Arul Elumalai, Kara Sprague, Sid Tandon, and Lareina Yee, looks at what is changing and how companies need to fight back.  

Many of these have frequently been covered by this publication; some, like the public cloud going mainstream, are long overdue. Yet there is an interesting titbit here. Given the long-established leadership of Amazon Web Services (AWS), Microsoft, and Google in public cloud, McKinsey argues that their entrenched dominance will mean only organisations with ‘significant capital investment capabilities’ will be able to compete in future. The article offers Alibaba as a potential suitor; the Chinese firm said last month its cloud business “continued to defy gravity”, while in September Gartner placed the company in third place for public cloud IaaS.

Other predictions which readers will have heard before – but are still invaluable – revolve around cybersecurity and increased usage of open source offerings. Examples of how the latter is gaining traction in the enterprise involves TensorFlow, Google’s machine learning system first launched in 2015. The customer list today is impressive, McKinsey notes, from Airbnb, to eBay, and Qualcomm.

It is the emerging technologies, however, which take the honours. According to McKinsey, B2B applications will account for almost 70% of the value coming from the Internet of Things (IoT) in 10 years’ time; and IoT business applications are now ready for adoption. Elsewhere, the article notes how the new DevOps business model is moving beyond app development to integrate operations and IT infrastructure, while artificial intelligence is ‘delivering benefits to companies across industries.’

“The scale of disruption in the technology infrastructure landscape is unprecedented, creating huge opportunities and risks for industry players and their customers,” the report concludes. “Executives at technology infrastructure companies must drive growth by transforming their portfolios and rethinking their go-to-market strategies.

“They should also build the fundamental capabilities needed for long-term success, including those related to digitisation, analytics, and agile development.”

You can read the full piece here.

How to improve MSPs’ agility while reducing costs: A guide

Agility is one of the key characteristics that distinguishes a successful managed service provider from the rest of the pack. Being agile means being able to respond quickly to onboard new customers, and fulfill new service requests. Unfortunately, this is often in direct conflict with another important MSP goal: minimizing the number of staff required to deliver those services.

One of the smartest ways to resolve that conflict is to implement your own cloud infrastructure, with customer self-service and automation. With the right approach to cloud, you can ease the burden on your technicians, accelerate onboarding, bring services to customers more quickly, and shrink your time to revenue.

What stops you being agile?

Most MSPs are at a significant disadvantage when it comes to onboarding new customers or provisioning new services.  Traditionally, your infrastructure exists in silos where compute, storage and networking are managed as separate functions. To provision a new customer, you first assess the customer’s needs, and then build the necessary infrastructure from scratch – racking specific servers, firewalls and other systems; buying various software licenses; and layering them to deliver the service.

The customer gets a bespoke solution – eventually – but this traditional siloed approach is not conducive to efficient, sustainable and most importantly repeatable growth for you as an MSP. There are three key reasons why:

Complexity delays revenue: Onboarding new customers or spinning up new resources, in this type of environment, involves careful coordination across infrastructure silos, teams, vendors and technologies. It's time-consuming to design, configure and test services that depend on multiple platforms, multiple UIs, and multiple networking and storage technologies.  Provisioning can take several weeks, delaying time-to-revenue.  

Worse still, it's a process you have to repeat for each customer – and it's difficult to manage when customer needs change. The servers provisioned at the beginning of the year may not be adequate at the end of the year.

People cost money: These problems are compounded by the need to adjust staff levels to minimize salary expenses. Most MSPs size their teams for service maintenance rather than service provisioning, and don’t typically have dedicated teams for bringing up new customers. Technicians must fit that into an already busy work schedule, adding even more time between a customer's order and service delivery.

You have too much or too little hardware: In many cases, IT resources are either under- or over-provisioned. No MSP wants to see equipment sitting idle, but when the alternative is waiting days for new kit to arrive – creating further delays for the client – having a stock of unused hardware may be the lesser of two evils.  

The benefits of a cloud management platform

Building your own cloud infrastructure lets you tackle these issues head on. As well as giving you a platform for private and public cloud service delivery, cloud infrastructure brings much greater agility and efficiency to your operations as an MSP.

Provisioning efficiency: Because cloud provisioning is software-driven, it requires minimal amounts of staff to perform the operation. Rather than racking new devices for new customers, an MSP can carve out a section from existing infrastructure and provision resources on the fly.  To offer public and/or private cloud services, you need a cloud platform with the ability to orchestrate across a range of hypervisors – and to achieve peak efficiency, you also need to be able to manage these services centrally.  By being able to see all physical servers, firewalls, storage and Virtual Servers in one place, it’s easier to react to customer needs and issues as they arise.

Administration efficiency:  A cloud management platform should minimize manual effort at every point in the customer lifecycle. With the right cloud management platform, properly-trained personnel, and some consulting from the cloud infrastructure vendor, one or two technicians should be able to provision a new private cloud in hours rather than weeks.

Vital to this is the need to be able to create permission-based user roles and user groups so that, once the cloud is in production, clients can self-serve resources within a secure framework, minimizing the need to interact with your teams. The cloud management platform should also leverage customer profile templates. Once a template is created for one customer, it can be easily modified to onboard a second customer, and so on. Having a central template repository makes provisioning easier and faster for IT administrators and also reduces provisioning errors.

Billing efficiency: Leveraging a solution that also intricately calculates resources for billing by customer is another element that will save hours of manual work, and improve margins quickly.

Resource efficiency: with the ability to treat the entire compute, network, and storage infrastructure as a flexible pool of resources, MSPs can easily assign specific resources to specific clients and bill for them accordingly. The process becomes a software-based provisioning activity that requires fewer technicians and eliminates custom racking and stacking for individual clients. What’s more, the MSP can replicate one customer’s setup for the next customer, and simply tweak the resource allocations or service mix to suit the new customer.

What the cloud translates to for the MSP is: more efficient use of resources, faster time to revenue for new customers, higher revenue from private cloud services and more fluid resource planning for future needs. Moving to a cloud-based infrastructure not only enables new services, it also simplifies and streamlines provisioning to improve service agility while reducing costs.

[slides] Modernize Your Applications | @CloudExpo @InteractorTeam #DX #AI #IoT #SDN

Most technology leaders, contemporary and from the hardware era, are reshaping their businesses to do software. They hope to capture value from emerging technologies such as IoT, SDN, and AI. Ultimately, irrespective of the vertical, it is about deriving value from independent software applications participating in an ecosystem as one comprehensive solution. In his session at @ThingsExpo, Kausik Sridhar, founder and CTO of Pulzze Systems, discussed how given the magnitude of today’s application ecosystem, tweaking existing software to stitch various components together leads to sub-optimal solutions. This definitely deserves a re-think, and paves the way for a new breed of lightweight application servers that are micro-services and DevOps ready!

read more

Cloud Analytics: How You Can Accurately Analyze Your Cloud Cost | @CloudExpo #API #Cloud #Analytics

In 2011, Marc Andreessen wrote a thought provoking article in the Wall Street Journal that software is eating the world. Today, in 2017, we can say that cloud transformation is happening all around us and cloud is now indeed eating the world. While Cloud services consumption is becoming prolific within the enterprises, it is often challenging to decipher who is using the cloud, how much is it being used and for what purposes ? Further, is the usage of cloud across the enterprise optimal? While migration to cloud is saving money, not utilizing the cloud resources optimally is nullifying some of the monetary gains. In order to better govern the cloud resources, a top notch cloud analytics engine is the need of the hour.

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NVIDIA boasts cloud prowess of Tesla V100 GPU as results soar

It was a statement inferred during NVIDIA’s most recent earnings call – and now it has been confirmed.

The company’s Tesla V100 GPU has been chosen by every major cloud provider, with the likes of Alibaba Cloud, Amazon Web Services, Microsoft Azure, Oracle and Tencent all announcing Volta-based cloud services.

Alongside this, the company’s financial results revealed record revenues of $2.64 billion, up 32% from this time last year, with data centre revenue of $501m, more than doubled from a year ago, and growth across all platforms. For the first three quarters of 2018, NVIDIA returned to shareholders $909 million in share repurchases and $250m in cash dividends.

Speaking to analysts following the financial results announcement, Colette Kress, executive vice president and CFO, said NVIDIA’s data centre business had an ‘outstanding’ quarter.

“As we have noted before, Volta delivers 10x the deep learning performance of our Pascal architecture, which has been introduced just a year earlier, far outpacing Moore’s Law,” Kress said, as transcribed by Seeking Alpha. “The V100 is being broadly adopted with every major server OEM and cloud provider. We expect support from V100 from other major cloud providers as well.”

Replying to an analyst question for the next couple of quarters on the data centre side, CEO Jenson Huang said: “This ramp is just the first part of supporting the build out of GPU-accelerated service from our company for data centres all over the world as well as cloud service providers all over the world. The applications for these GPU servers has now grown to many markets.”

Huang added that there were five primary segments for its Tesla GPUs, including high performance computing, deep learning training, inference, and putting it all together in the public cloud.

You can take a look at NVIDIA’s financial results here.

Amazon sells a part of its Chinese business for $301 million

The strict rules in China is clearly affecting American businesses. The latest casualty in this list is Amazon. In announced that it will be selling computing equipment used for its cloud services to its local partner, Beijin Sinnet Technology Company. This move is aimed to comply with the new Chinese regulations on how foreign companies can operate on Chinese soil.

Amazon sold this crucial aspect of its business to its Chinese partner for $301 million. However, the company reiterated that it would continue to hold the intellectual property rights for its hardware worldwide.

The latest Chinese regulations that came into effect in June requires companies to store data locally. This law was aimed to tighten the scrutiny of cross-border transactions and to implement stricter surveillance measures.

Already, Amazon had to contend with a lot of regulations due to China’s tight Internet controls. In August, Beijing Sinnet was forced to shut down its VPN and other services that could circumvent the Great Firewall of China. So, this made it more difficult for Chinese to access any content that was not approved by the government.

Though there were a few critics who thought this move by Amazon could trigger problems later on for the company, it was nevertheless necessary for Amazon to continue its operations in China and to even expand to other business areas in the market.

Interestingly, AWS has a hardware partnership with Ningxia province in northwest China. But, the company clarified that this venture will not be affected in any way as all public cloud services of Amazon in China is exclusively managed by Sinnet.

Though Amazon paints a perfect picture, it’s not so perfect really as it casts a shadow over the way other companies such as Microsoft and IBM operate in China. It remains to be seen how the other major players will react to this sale and how they will change their respective business to comply with Chinese laws.

The biggest advantage from these moves goes undoubtedly to local Chinese firms, which is also the aim of the government. Currently, about 80 percent of all cloud services revenue and more than half of all data centers are owned by Chinese companies. These numbers could go up, thereby signaling bonhomie for Chinese tech companies.

The post Amazon sells a part of its Chinese business for $301 million appeared first on Cloud News Daily.