Avoiding cloud vendor lock-in: It’s all in the planning

The cloud computing world is becoming increasingly dominated by a small number of IT giants aiming to be your one-stop services shop. From infrastructure to software, one vendor could hypothetically provide an organisation’s entire IT system. Naturally, this is appealing to users that want to simplify their estate and partner with a well-established and reliable cloud host – but ask yourself, do you really want all your eggs in one basket?

With risks like hacking and large-scale denial-of-service attacks (DDoS) on the rise, many organisations are now looking to keep their options open and spread their IT requirements across different service providers to improve redundancy and balance risk. However, some organisations already find themselves backed into a corner and locked into their primary, dominant vendor.

So, what causes vendor lock-in and how are the IT giants really driving this problem? What’s more, how can organisations avoid becoming locked on to one cloud-computing provider?

The lock-in challenge

Many of the larger scale and legacy IT companies within the market have allowed their customers to become increasingly dependent on the single provider model by making their technologies incompatible with other systems – meaning these vendors can make it very hard for organisations to switch later on down the line. A range of issues, such as inefficient processes and extremely high costs, mean migration between cloud vendors can be a time-consuming and expensive pain point. The alternative is to stick with a cloud provider that doesn’t meet your business needs.

One of the biggest mistakes that can leave an organisation locked-in with a single vendor is a lack of planning in the initial stages of a deployment or migration. Before an organisation even looks to contact a cloud vendor, the IT team should do their homework and find out if the service providers they are considering are going to be able to meet their business needs. If they can, there shouldn’t be any reason for the organisation to leave later on down the line anyway.

Even once all the research is out of the way, though, it can never hurt to have an exit plan should you want to switch vendor in the future. Let’s draw a non-tech comparison; when entering into a marriage, some people choose to opt for a pre-nup to ensure the divide is clearly set out, and opting for a cloud provider should adopt an equivalent, objective approach. For this reason, organisations should have a detailed implementation plan in place when signing contracts with their chosen provider. This should include the option to easily and cost-effectively migrate data out and to a new provider if the need arises.

Keep your options open

Choosing the right vendor for your business should be based on a clear understanding of each individual cloud technology in the mix. An increasingly popular strategy is for organisations to opt for a multi-cloud approach that combines different types of cloud – private, public and hybrid – allowing them to reap the benefits of all of them without compromise. For this reason, organisations should be considering not just one cloud provider, but multiple ones to ensure the best provider for each need, such as backup, computing and disaster recovery.

This sort of approach should also be paired with keeping applications as flexible as possible – i.e. not vendor specific. For instance, you can keep cloud components linked with application components, rather than creating a lot of mess later on if you want to move providers. It’s also sensible to back up your data regularly in an easily useable format to eliminate any future mishaps. Similarly, having separate security and disaster recovery options could be important for business continuity – it could be the difference between disaster and recovery.

It’s also important to focus on the future and emerging tech trends, such as DevOps. Reconfiguring applications to run on a new platform is time consuming and expensive. But using open platforms, such as Docker containers, means organisations can isolate software and have them running on top of the infrastructure. They are also easy to relocate and rebuild, which saves a lot of hassle if and when you decide to move over to a new provider. Configuration management tools can also be utilised to automate the configuration of your infrastructure.

But if you do just one thing to avoid vendor lock-in, it should be to create that exit plan. The big market players are bound to come up with more products and services to entice businesses away from their competition, and vendor-lock-in has become an unfortunate side effect – good forward planning will need to go hand-in-hand with the future direction of the cloud industry.

Alibaba Cloud seeks partners for EMEA drive


Clare Hopping

3 Jul, 2018

Alibaba Cloud has launched its EMEA Ecosystem Partner Programme, with the aim of helping to develop the company’s presence in the region.

It’s already onboarded some big industry players, including Accenture, Altran, Ecritel, Hashicorp, Intel, Linkbynet, and Micropole.

Alibaba wants to focus on helping businesses in “targeted industries” with their digital transformation efforts as well as developing talent and boosting innovation across the cloud-powered board. 

“Our goal in EMEA is to bring powerful and elastic cloud services to our customers and create a well-connected, comprehensive ecosystem with our partners to accelerate cloud technology development in the regional cloud industry,” said Yeming Wang, general manager of Alibaba Cloud EMEA.

The company is now looking for more partners to tie up with in order to grow its EMEA business and is seeking startups as well as established companies to help it grow.

The announcement was made at the Ecosystem Summit EMEA 2018 hosted by Alibaba Cloud at Station F in Paris, where 400 people congregated from across the tech industry.

Representatives from private companies, public sector organisations, developers, engineers, channel partners and startups came together to discuss the future of the cloud and joined forces to think about how the industry can “incubate” a wider technology ecosystem and support startups.

“We are committed to foster innovation and nurture local talent, which is why we are excited to have held our Summit today at Station F, a campus which gathers a whole start-up ecosystem under one roof here in Paris. We hope that the Summit has inspired companies of all sizes and demonstrated Alibaba Cloud’s belief in working together for the future of the industry.” Wang added. 

The IT Challenge: How to Manage Diverse Systems Consistently

Whoever is in charge of IT is always something of a flea circus keeper. They must have everything under control—all issues that might spring up on devices at any place in their organization. They are supposed to be enablers, bringing new areas of operation to bear, but without losing control. Examples include (unofficial) bring-your-own-device (BYOD) […]

The post The IT Challenge: How to Manage Diverse Systems Consistently appeared first on Parallels Blog.

When AI meets DevOps: Getting the best out of both worlds

DevOps has been widely embraced by businesses under pressure to get competitively advantageous digital deliverables to market at the fastest possible cadence—especially given the reality of limited coder headcount and the need to rigorously avoid brand-toxic snafus in the customer experience. Artificial intelligence (AI), in stark contrast, is a potentially transformative digital discipline that is still very new to most enterprise IT organizations.

But while it’s certainly important that CIOs nurture AI adoption with appropriately resourced pilots, it’s also essential to link nascent AI efforts to maturing DevOps concept-to-production pipelines. Here’s why.  

The data science silo

“AI” has become a catch-all term to describe a broad range of algorithm-based disciplines such as machine learning and natural language processing capable of discovering patterns, trends and anomalies in large volumes of diverse data. Given the wealth of data increasingly available to businesses, this AI-based discovery can potentially deliver significant benefits—from anticipating customer needs to identifying emerging market risk.

The algorithms that fuel AI, however, bear little resemblance to classic application code. Code is written by developers to execute actions in some logical sequence. If you want to change those actions, developers have to change the code.

Algorithms, on the other hand, are crafted by data scientists to tease hidden insights out of data. Data scientists may certainly tweak those algorithms over time to enhance the resulting insights—but, to a large extent, well-crafted algorithms inherently respond to change without explicit human intervention.

Due to these unique characteristics and skill-sets, organizations typically initiate their AI efforts in sandboxed pilots where the main challenge is determining which types of algorithm can uncover the insights that are most valuable—which typically also means most actionable.

This experimentation is good and fitting. It’s tough to on-board data science talent, and it’s tough to connect raw technical data science talent to the real-world needs of the business. So we all have a lot of learning to do when it comes to AI.

That learning can’t take remain in a silo forever, though

Escaping the AI island

In an increasingly digital marketplace, actions take place in code. For the insights revealed by our new AI environments to actionably impact businesses, they must be acted on programmatically.

In some cases, this programmatic action may be sending an alert to a customer’s phone. In some cases, it may be changing the price of a SKU. In others, it may be re-prioritizing workflow to internal staff.

Regardless of the specific use-case, there is clearly a need to connect AI insights with application code.

This has several implications when it comes to DevOps. For one thing, developers must be able to code and test calls to AI systems in much the same way as they do to databases and other resources.

For another, ops teams must be able to ensure that the new generation of hybrid AI-application systems reliably perform at required levels even as workloads spike. Such performance SLAs can be particularly challenging given the intensity and volatility of AI processing.

Change management is another key consideration. Developers must preserve the integrity of AI calls, even when they add, delete, or modify other aspects of their applications. And, conversely, when data science staffs modify their AI environments, we must somehow ensure that there aren’t unexpected adverse impacts on end-to-end system behaviours.

Security and compliance are considerations as well. AI ingests and egests a lot of potentially sensitive data. The safety and proper governance of that data in these increasingly complex environments doesn’t just happen. Nor should they be grafted on to systems as an afterthought. That’s another reason AI and security and DevOps—or, as many of us have taken to calling it, DevSecOps—must come together.

Chaperoning the DevOps-AI courtship

Given the imperatives above, CIOs and other digital leaders in the enterprise need to take several steps now to ensure that any future relationship between AI and DevOps will be a cordial and productive one.

Suggested steps include:

  • Begin mapping processes and workflows in your DevSecOps toolchain that will provide the same automation, QA, and auditability of Ai integrations as you’re presently implementing for  APIs, database calls, cloud connectivity, and the like.
  • Ensure that your data governance methods and technologies can be uniformly applied across platforms, environment, and data sources.
  • Get your DevOps and data science people together. Their tools, skills, and cultures may be markedly dissimilar—but ultimately, for your business to win, they will have to collaborate in much the same way as we are driving developers, QA teams, ops staff, security professionals, and business analysts to collaborate.

AI will transform business in the coming years. But it won’t do so by itself. Only in concert with a holistic approach to digital transformation can businesses reap the full potential value of AI.

Formula 1 races to AWS as official cloud provider, cites importance of machine learning capabilities

It has been described by Citrix as a ‘never-ending technology arms race to optimise performance’ – and now Formula 1 has gotten a further boost by selecting Amazon Web Services (AWS) as its official cloud and machine learning provider.

The move will see Formula 1 move the vast majority of its infrastructure from on-premises data centres to AWS, and use a variety of products to help improve broadcasts, data tracking, and race strategies.

Amazon SageMaker – AWS’ service to help developers build, train and deploy machine learning models – will be put to task by Formula 1’s team of data scientists against more than 65 years of race data. The data, collected in real time by Amazon Kinesis and stored in Amazon DynamoDB and cold storage product Glacier, will be crunched to extract performance statistics and make predictions for upcoming races.

Other AWS products being utilised by Formula 1 are AWS Lambda for serverless capabilities, and AWS Elemental Media Services for greater video options.

“For our needs, AWS outperforms all other cloud providers, in speed, scalability, reliability, global reach, partner community, and breadth and depth of cloud services available,” said Pete Samara, Formula 1 director of innovation and digital technology in a statement. “By leveraging Amazon SageMaker and AWS’s machine learning services, we are now able to deliver these powerful insights and predictions to fans in real time.”

This is by no means the first customer to cite machine learning as a key element of future strategies. In May, Ryanair announced it was going all-in on AWS, saying greater data insights and better customer experience through machine learning was vital to its decision. The airline is using Amazon Lex, the technology underpinning smart assistant Alexa, on a trial basis.

Why optimal hybrid cloud champions will lead the market

Vendor revenue from sales of infrastructure products — server, storage, and Ethernet switch — for cloud IT grew by 45.5 percent year-over-year in the first quarter of 2018 (1Q18), reaching $12.9 billion according to the latest worldwide market study by International Data Corporation (IDC).

IDC also raised its forecast for total spending on cloud IT infrastructure in 2018 to $57.2 billion with year-over-year growth of 21.3 percent. Let's consider the key trends that are driving this phenomena. What really matters most, going forward?

Cloud infrastructure market development

Public cloud infrastructure quarterly revenue has more than doubled in the past three years to $9 billion in 1Q18, growing 55.8 percent year-over -year. Private cloud revenue reached $3.9 billion for an annual increase of 26.5 percent.

The combined public and private cloud revenues now represent 46.1 percent of the total worldwide IT infrastructure spending, up from 41.8 percent a year ago. Traditional (non-cloud) IT infrastructure revenue grew 22 percent from a year ago, although it's declined over the past several years — at $15.1 billion in 1Q18 it still represents 53.9 percent of total worldwide IT infrastructure spending.

"Hyperscaler datacenter expansion and refresh continued to drive overall cloud IT infrastructure growth in the first quarter," said Kuba Stolarski, research director at IDC. "While all infrastructure segments continued their strong growth, public cloud has been growing the most."

IDC expects this trend to continue through the end of 2018. Digital transformation initiatives such as edge computing and machine learning have been bringing new enterprise workloads into the cloud, driving up the demand for higher density configurations of cores, memory, and storage.

As systems technology continues to evolve towards pooled resources and composable infrastructure, the emergence of these next-generation workloads will drive net new growth beyond traditional enterprise workloads.

All regions grew their cloud IT Infrastructure revenue by double digits in 1Q18. Asia-Pacific (excluding Japan) grew revenue the fastest, by 74.7 percent year-over-year.

Next were the U.S. market (43.6 percent), Middle East & Africa (42.3 percent), Central and Eastern Europe (39.2 percent), Latin America (37.7 percent), Canada (29.4 percent), Western Europe (26.1 percent), and Japan (15 percent).

IDC's cloud IT infrastructure forecast measures total spend (vendor recognized revenue plus channel revenue). Of the $57.2 billion in cloud IT infrastructure spend forecast for 2018, public cloud will account for 67 percent of the total, growing at an annual rate of 23.6 percent. Private cloud will grow at 16.7 percent year-over-year.

That said, worldwide spending on traditional 'non-cloud' IT infrastructure is expected to grow by just 4.2 percent in 2018 as enterprises continue to refresh their legacy platforms. Traditional IT infrastructure will account for 54 percent of total end user spending on IT infrastructure products — that's down from 57.8 percent in 2017.

Outlook for cloud computing growth

This represents a decelerating share loss as compared to the previous four years. Moreover, the growing share of cloud environments in overall spending on IT infrastructure is common across all regions.

Long-term, IDC expects spending on cloud IT infrastructure to grow at a five-year compound annual growth rate (CAGR) of 10.5 percent — reaching $77.7 billion in 2022, and accounting for 55.4 percent of total IT infrastructure spend.

Public cloud datacenters will account for 64.7 percent of this amount, growing at a 10.2 percent CAGR. Spending on private cloud infrastructure will grow at a CAGR of 11.1 percent.

Some analysts already believe that it doesn't matter who leads the cloud infrastructure market, since it's essentially a commodity business with rapidly shrinking profit margins. So, what does really matter? Which vendors are best positioned to champion and lead the 'Optimal Hybrid Cloud' environment?

Local authority cloud adoption report ‘misleading’, say experts


Sandra Vogel

5 Jul, 2018

Local government is strapped for cash. Across the UK local authorities are shedding staff and cutting services, and perhaps at times like these, investment is the last thing on their minds.

But clever investment can reap rewards, as cloud services can increase efficiency and improve public access to information. It’s also an essential component of anything falling under the heading of ‘smart cities’, and smart city initiatives themselves can save local government money while creating infrastructure and services fit for the 21st Century.

So, what’s stopping local authorities from doing more with cloud, and why should those who are lagging behind think again about their reluctance?

Whatever happened to Cloud First?

Back in 2013, the Government introduced its Cloud First policy. This is based around a very clear statement that any new project should consider cloud first and foremost above all other solutions.

“When procuring new or existing services, public sector organisations should consider and fully evaluate potential cloud solutions first before considering any other option,” the policy states. “This approach is mandatory for central government and strongly recommended to the wider public sector.”

A recent Citrix report suggests progress towards a ‘cloud first’ policy is painfully slow, with 80% of councils still using on-premise infrastructure, either in isolation or together with a cloud service, to access and manage citizen data. Despite this, 75% of authorities said they were planning on investing in cloud over the next 12 months.

But that’s not the full picture. The research was based on a Freedom of Information request sent to 80 local authorities across the UK, 50% of which responded. According to the Local Government Association, there are 418 unitary, upper and second tier councils in the UK, and, an LGA spokesperson told us that the FOI requests “represent only a tenth of local authorities across England and Wales” and that the research omits the fact that “various council departments have a statutory duty to use specific IT systems in order to carry out their functions”.

An example of this can be found in adult social care where councils still use NHS Mail and N3, a private broadband network currently being phase out in favour of the Health and Social Care Network (HSCN), to share patient data with the NHS.

However, Georgina Maratheftis, programme manager for Local Government at techUK, maintains that while “there are lots of councils across the UK that are realising the benefits of adoption and using cloud services within their organisations,” but that “there are a lot more that are not and should be looking to move to the cloud”.

So what’s the problem?

There is no one single reason that some councils aren’t getting on board with cloud, but there are some fundamentals that can stand in the way of a transformation, and, indeed, of even thinking ‘cloud first’.

Maratheftis suggests there’s “difficulties in gaining the buy-in of senior leadership to see and understand the long and short-term benefits of cloud”, and that many become overly fixated on concerns around the change of working culture or overcoming the skills and capability barriers as a result of moving to new technology.

Ingrid Koehler, service Innovation lead at the Local Government Information Unit, a London-based think tank and charity, argues that authorities should be forgiven for being a little sheepish.

“Local government is naturally risk-averse and even in good times may hesitate to innovate for perfectly rational reasons,” says Koehler. “In times where finance is pressured, it can be even harder to invest in change and transformation even where savings can be calculated.”

Crashing through the barriers

With the Cloud First strategy entering its fifth year, it’s about time these barriers were overcome.

Operating through disparate systems is much less likely to afford councils a ‘single view’ of citizen data, making it tricky to provide joined-up services. Cloud services can combine both internal and public facing elements, such as helping to streamline both internal bureaucracy and public access to information.

“Local government needs to transform and use digital as a tool to both support transformation and shift thinking about how we can work with citizens and service users in a more agile way,” says Koehler.

Intranets can be revolutionised, document collaboration finally removed from the clutches of clunky email shares, and even things as apparently dull as room booking can be transformed through access to cross-council, multi-site cloud systems.

Importantly, these possibilities can reduce the internal administration burden, which in itself frees up resources and money that could otherwise be used on other areas of councils’ remit. That’s essential given the estimated £5.8 billion funding gap that local authorities are expected to have to deal with over the next decade.

“The more progressive councils will see cloud as an opportunity to reimagine how future services can be delivered,” says techUK’s Maratheftis, “as well as gain value in reducing demand on services, improving efficiencies and enhancing the customer experience.”

However, with the Cloud First strategy clearly having minimal impact, a change in culture may require more heavy-handed intervention from central government.

Image: Shutterstock

Puppet secures $42 million in series F funding to help with automation push

Software delivery and automation provider Puppet has raised $42 million (£31.9m) in series F funding to complement its recent expansion.

The round, which was led by Cisco Investments, alongside EDBI, Kleiner Perkins, True Ventures and VMware, comes only a few weeks after Puppet announced the acquisition of Reflect, a company which provides data visualisation as a service. Total funding for the company now stands at $149.5 million across seven rounds in total.

Puppet certainly has reasons to be bullish about its scope. According to the company’s 2017 DevOps report, 66% of DevOps engineers and 69% of software engineers polled in the US get paid more than $100,000 per year, with the overarching message being that enterprises are getting to grips with new ways of delivering IT services and software.

It is evidently this route of giving users insights to deliver better services – whether it’s through data visualisation, as in the Reflect acquisition, or otherwise – driving Puppet’s recent gains. The company cited Gartner figures from earlier this year which argue that by 2020, 90% of the top 100 global companies will be using DevOps practices to significantly cut operational inefficiencies.

“Our rapid growth and international expansion is a testament to the rising demand for DevOps transformation, software automation and the pressing need for enterprises to navigate the new world of software delivery,” said Sanjay Mirchandani, CEO of Puppet. “That’s why we’ve been so focused on expanding our product portfolio – to empower customers to discover, deliver and operate software across their cloud and containerised environments.”

The company opened five new offices over the past year, in Seattle, Singapore, Sydney, Timisoara and Tokyo. When this publication focused on Puppet in May last year, the first three were in the pipeline, with the company saying there was ‘global momentum’ in its results.

SD-WAN: It’s time to become the master of your network

He-Man may have been a master of the universe, but us mere mortals may have to set our goals slightly lower. For many network managers, the network is their own mini universe, but unfortunately, they often don’t have the control or visibility over it that they would like.

Software-defined WAN (SD-WAN) has been identified by some as the solution to this problem, solving businesses’ digital transformation and legacy infrastructure woes. But it is important that this, like any hyped B2B technology, doesn’t attempt to be a silver bullet solution to these complex issues. Prince Adam used the “Power of Grayskull” to transform into He-Man, but sadly the business world is a bit more nuanced.

For me, SD-WAN is really about the agility and flexibility that application level control of the network enables. Today’s IT managers demand control and visibility for good reason. With many businesses embarking on digital transformation strategies, it is crucial to have real-time actionable insight into network performance, and the adaptability to support the future demands that users will place on the network. Without this, poor performance or even outages could arise and you risk losing the customer loyalty that you’ve worked so hard to build up.

The race towards digital transformation

He-Man was known for his great speed and strength, but he would defend with his intellect and strategy. Businesses across all sectors are committing to fast-developing digital strategies to enable a more engaging and positive customer experience, but need to support these broad objectives with the finer details that will enable long term success.

Perhaps the most crucial of all these details is the network. In the case of many network managers, legacy technology is holding back their organisation from their digital transformation goals. Yes, a lack of skills and a resistance to change at board level can also lead to a digital transformation roadblock, but so many businesses are embarking on bold digital strategies with a network that just isn’t fit for the modern day.

Connecting your application “islands”

By simply embarking on a digital strategy without the right network to support it, you’re essentially building intelligent “islands” that communicate with each other in a very rudimentary manner. To work towards real success in digital transformation, the network must be a central component of the whole process, not just an afterthought. Replacing legacy equipment and improving your mastery of the network with next-generation technologies such as SD-WAN can help businesses achieve their digital strategy goals.

At a basic level, digital transformation creates an entirely new set of applications for the network to deal with. If the network cannot differentiate between those services, then your business is essentially being held back by part of your infrastructure. Deploying application-centric networking such as SD-WAN allows you to, in effect, tune your network, allowing the priority traffic to behave the way it needs to.

Master of the universe (or maybe just your network?)

Many IT managers want more control and visibility over their networks. Currently this visibility often solely extends to a report at the end of the month detailing how much bandwidth you’ve used, or what applications have been used the most. However, this is retrospective and doesn’t give enough insight to allow you to tune your network as you go. Next-generation WAN enables reporting that tracks and analyses end-to-end application performance in real time, so the network can quickly react to any changes.

Customer complaints about slow application performance are a major and frequent problem, which means that major network improvements must be made if businesses want to improve customer experience. SD-WAN works in conjunction with next-generation applications to help them operate properly, so that the business receives the full benefit of adopting those applications in the first place.

The power of a software-defined future

It’s also becoming increasingly clear that the early adopters of artificial intelligence (AI) and machine learning (ML) will dominate the business landscape in years to come. However, there are also intriguing use cases for processing the masses of data points produced across the network and made visible through the analytics engines that many SD-WAN solutions have inbuilt.

As a result of the application visibility and analytics capabilities of SD-WAN, some businesses are now collecting millions of pieces of information from every part of the network. When harnessed and analysed correctly, this information is invaluable when it comes to understanding the impact of new services, and monitoring the usage and performance of applications, allowing greater insight and leading the way to future automation.

Galactic Guardians: The importance of a trusted partner

A common catalyst for implementing SD-WAN is a desire to cut costs within the business. However, to view it simply as a money saving exercise is to miss the point slightly. We find that businesses that are becoming increasingly application-centric are successfully embracing SD-WAN because of the control and flexibility it gives their network.

But the transition can’t be done alone. If you are migrating existing services and existing networks from an existing service to an SD-WAN service, this requires a lot of project management and consultancy to make it a success. As part of the process, it is crucial to properly plan out what you want from it as a business, and track this with sensible metrics. A slightly inferior solution, implemented properly, will be better for you as a business than a technically superior solution implemented poorly. Therefore, selecting the right partner is all-important.

When deployed correctly and for the right reasons, SD-WAN can be your guide towards digital transformation, and in the shorter term, control over your network. However, with great power comes great responsibility; use it wisely! And watch out for Skeletor…

DevOps Institue Named Community Sponsor of @DevOpsSUMMIT NY | @DevOpsInst #DevOps #ContinuousDelivery

The DevOps Institute’s vision is to facilitate a community where members have access to the most innovative, inspirational and transformational DevOps content, courses and certifications around emerging DevOps practices and principles. We strive to provide content that inspires discussion, collaboration, transformation, and to foster healthy dialogue among global members of various technical backgrounds and experiences.

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