Keep your foot on the gas: Maintaining momentum after your cloud migration

For a significant number of companies, beginning their cloud migration journey is hard. In spite of the greater scalability, flexibility, optimisation, and lower costs for big data in the cloud, organisations struggle to mobilise their teams to begin their cloud journey. Once they have successfully migrated their workloads to the cloud, however, a lot of organisations think the journey is finished.

Unfortunately, there are a number of operational and visibility challenges that exist on-premises which don’t disappear once workloads have been migrated. While the benefits of cloud migration are clear, it is frequently oversimplified and considerations such as application dependencies and system version mapping are not given due thought. As a result, costs begin to overrun through over-provisioning or production is delayed through provisioning gaps.

Even post-migration, issues can persist. Modern businesses are powered by data applications that rely on a myriad of platforms which frequently creates issues in understanding, planning, optimising, and automating the performance of their data apps and infrastructure. These difficulties are compounded by the use of disparate technologies and siloed approaches to managing data applications and data infrastructure. With the majority of monitoring solutions frequently lacking end-to-end support for big data environments, full-stack compatibility, or requiring complex instrumentation, data teams require deep subject matter expertise to configure changes to applications or components. As a result, organisations can struggle to find teams skilled enough to deliver strong application performance, often resulting in poor user experience, inefficiencies and mounting costs as organisations buy more and more tools to resolve problems.

Quantifiably, organisations see a high Mean Time to Identify (MTTI) and Mean Time to Resolve (MTTR) issues due to difficulties in understanding dependencies and retaining focus in root cause analysis. Data collection and correlation can be time-consuming when trying to collect granular cluster and application-specific runtime information, as well as metrics on infrastructure across platforms, application and system log data, configuration parameters, and other relevant data.

Moreover, resources using native Hadoop APIs will only send data while an application is executing creating yet further complications. The lack of granularity and end to end visibility makes it impossible to remedy all of these problems, leaving businesses with little visibility of their data applications. Even once all this data has been collated, further difficulties arise in evaluating and interpreting it. Minor human errors such as a missed configuration parameter, incorrectly sized container, or a rogue stage of your Spark application, which can completely cripple a data cluster, may be entirely missed.

For enterprises that have only recently migrated, these myriad issues can leave cause for doubt in their choice. However, it should be noted that cloud adoption is not a finite process with a clear start and end date — it’s an ongoing lifecycle with four broad phases (planning, migration, operation, and optimisation). To ensure a painless and efficient cloud migration, each of these four phases needs to be given proportionate attention.

Broadly, In the planning phase, decisions need to be made surrounding which applications are most suited for the cloud, what resources do they require, which data sets need to be migrated and whether permanent, transient, autoscaling, or spot instances should be used. During the migration and operation stage, there is a need for continuous monitoring of performance and costs, and assessment of the critical dependencies and service mapping. Finally, once these workloads are in production on the cloud, it is time for data teams to begin considering how they optimise their applications and performance in order to guarantee SLAs.

A comprehensive approach to operational planning goes a long way in resolving the various challenges of managing big data technologies (both on-premise and in the cloud). With enough time and focus spent on each stage of the cloud adoption lifecycle, and adhering to best practice, the benefits of cloud migration can be realised faster. The main thing to remember for data-teams, is not to take the foot off the gas and keep momentum up once they’ve moved to the cloud.

Photo by Shannon Lam on Unsplash

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Slack to work with Microsoft on Teams integration


Bobby Hellard

27 Mar, 2020

Slack’s CEO Stewart Butterfield has revealed the comms platform is working on a call integration with its fierce rival Microsoft Teams.

The plan was announced during an investor webcast with RBC analyst Alex Zukin on Thursday.

Butterfield’s view is that the number of users for both services will dramatically grow over the next five years and it’s pointless fighting over what they have now. Teams has the edge currently, largely due to it coming bundled into Office 365, but Slack has become a popular choice for companies that use multiple cloud-based communication platforms.

The two companies have recently reported spikes in daily active users during the current COVID-19 pandemic, with Teams reporting 12 million more since the start of March.

«There are a lot of people who use both, and we’re working on a Teams integration for calling features,» Butterfield said. «I’m pretty sure that in 18 to 24 months time when we look back, that more people use Teams is not going to be relevant to us as a company.»

«95% of people who are going to be using this stuff five years from now have not started, so there is no point fighting over the relatively small percentage of customers we have.»

Slack has often been used in tandem with other services, particularly video calling software such as Google Hangouts and Zoom. Recently, Microsoft singled Zoom out as a potential business threat because of this.

However, Butterfield’s comments suggest a less feisty competition from the two companies. Since Teams was launched the two have traded blows over user numbers, features and even marketing strategies.

In November, Slack accused Microsoft of copying its Adverts, referring to the company as a «boomer». A few months prior, Microsoft banned its employee from using Slack, suggesting it was «not secure».

Hyperscale operators invest hard in data centres amid modest overall capex, says Synergy

In the land of the hyperscale cloud operators, all remains relatively rosy in the garden. New data from Synergy Research shows that hyperscale operator capex set a new record in the most recent quarter.

In total, more than $32 billion was laid down in the fourth quarter of 2019, beating the previous record set by Q418. Synergy noted that a lot of spend – and strategy – was going into data centres. Capex specifically targeted at data centres grew 11% in 2019 in a move which ‘reflected ongoing strength in their core business operations’, as the analyst firm put it.

The top five spenders, far ahead of the rest of the hyperscalers, are Amazon, Google, Microsoft, Facebook, and Apple – although the latter dropped off sharply in 2019 to the detriment of overall figures. To the old adage that attack is the best form of defence, the top 20 companies analysed – including Alibaba, IBM, Oracle and Tencent in the challengers section – generated $1.4 trillion between them in revenues for 2019, up 13% from 2018.

Yet the inevitable question around what will happen amid the ongoing Covid-19 pandemic is not too far away. John Dinsdale, a chief analyst at Synergy Research, said that while nothing was certain, hyperscale cloud players were on a surer footing than most.

“While there are many unknowns, what is clear is that the hyperscale operators generate well over 80% of their revenues from cloud, digital services and online activities,” said Dinsdale. “The radical shifts we are seeing in social and business behaviour will actually provide some substantive tailwinds for many of these businesses.

“These hyperscale firms are much better insulated against the current crisis than most others and we expect to see ongoing robust levels of capex,” added Dinsdale.

Many of the leading cloud players are in a position to funnel some of their resources into combating Covid-19, as well as provide free services to those researching and working in healthcare. Amazon Web Services is committing $20 million to customers working on diagnostics solutions, while Microsoft, Google, Alibaba and others have offered free products to healthcare professionals.

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Microsoft puts Windows development on lockdown


Keumars Afifi-Sabet

25 Mar, 2020

Microsoft will no longer release non-essential updates to its line of Windows operating systems due to disruption caused by the coronavirus outbreak.

From May 2020, businesses will only receive the most important critical security updates for a swathe of Windows systems, including the recently-published Windows 10 version 1909 through to Windows Servier 2008 SP2.

Work on category C and D cumulative updates, which are optional preview releases issued in the third and fourth weeks of the month, has been put on hold due to “challenges” posed by the pandemic, the company said.

These updates are issued so Windows users can test tweaks and fixes before these are bundled into the next Patch Tuesday releases, where they’re designated category B.

“We have been evaluating the public health situation, and we understand this is impacting our customers,” an announcement reads.

“In response to these challenges we are prioritizing our focus on security updates. Starting in May 2020, we are pausing all optional non-security releases (C and D updates) for all supported versions of Windows client and server products (Windows 10, version 1909 down through Windows Server 2008 SP2).”

The monthly Patch Tuesday security updates will continue to be published as normal, Microsoft added.

This is to ensure that organisations can continue to carry out business operations as smoothly as possible, and that they’re protected from any serious bugs or security threats.

The timing and schedule of the suspension of work suggests the company is late into its development cycle for updates set to be released in April. The announcement also suggests Microsoft feels the disruptive effects of the COVID-19 outbreak to development work will continue for a long time.

It comes just days after the company said it would be pausing development work on version 81 of its Edge browser, itself a response to Google pausing its own development work on Chromium.

Coronavirus has already had a sizeable impact on businesses of all stripes and in all sectors. While the tech sector hasn’t been as severely hit as companies in the services industry, entire workforces have shifted to remote working patterns, and a host of development projects have been put on hold.

Waste not, want not: How enterprises can avoid an idle cloud estate

The cloud lies at the heart of digital transformation. In the 2019 European Insight Intelligent Technology Index (ITI), 42% of IT decision makers deemed it one of the most critical technologies for their digital innovation initiatives. As a result, organisations are investing heavily in the cloud to drive their projects forward, spending an average of £29.48m per year.

However, it’s clear that businesses are investing without a solid strategy in place; 30% of that spend goes on services that are not utilised, resulting in £8.8m wasted each year. So the question is, why do enterprises end up with so much cloud waste, and how can they prevent it?

Failing to plan is planning to fail

The seeds of idle cloud estates are often planted in the planning stage. In fact, 39% of ITI respondents say at least some of their under-utilisation stems from issues around planning and allocating budgets for cloud consumption, while 44% place part of the blame on trying to determine whether public, private or hybrid cloud is the best place to host applications and workloads. Without a clear view of what they want to achieve, and what resources they need to do so, organisations will ultimately be setting themselves up to fail.

To avoid this, the business needs to understand exactly what it wants to achieve from moving to the cloud – whether that is agility, scalability or cost reduction. This means acknowledging the ways in which the cloud can help to transform the business and meet its goals, and knowing exactly what services are needed to support the business’s goals.

With this understanding in place, the organisation can choose cloud services appropriately. For instance, a service bundle might seemingly offer better value for money than buying services individually. Yet if a large proportion of that bundle isn’t used, buying a smaller number of individual services might still be the more cost-effective option.

Losing control

Even if it plans perfectly, the enterprise still needs to have full visibility and control over its cloud environments. According to the ITI, 36% of enterprises said a lack of visibility into used services was leading to cloud waste. Without the right tools, organisations risk losing the visibility, and control they require.

In order to minimise waste, organisations need to be able to manage these dynamic cloud environments, where applications and infrastructure can be spun up, spun down or moved quickly and easily. This also has to stretch to the new approaches and technologies the cloud allows, such as microservices, containers, serverless computing and DevOps.

Understanding the exact demands of cloud architecture, and how well existing tools can meet them, is an essential element to remaining in control. If legacy tools don’t provide the level of support a new cloud environment demands, the business can easily find itself continually playing catch-up as it attempts to plug holes in its capabilities – inevitably adding extra costs and missing opportunities to economise. Understanding legacy limitations, and having the right tools in place in the beginning, can help prevent a great amount of waste.

It’s also about the people

Having the right skills in place is also a critical element of reducing wasted spending in the cloud. This doesn’t just mean being able to use the tools needed to manage cloud environments. It also means having employees who understand exactly how the cloud differs from legacy environments, and won’t make costly assumptions in procurement and management. At the same time, with legacy technology still fulfilling a crucial role in most organisations, the business can’t simply focus on acquiring cloud skills at the expense of its existing experience. Otherwise any reduced waste in the cloud could easily be cancelled out by losses elsewhere.

The first step for any organisation looking to control its skills should be auditing existing skills to understand precisely what its current teams are capable of. It can then understand where there are gaps, and plan to train or hire employees to ensure they have all the capabilities the business needs.

A solid cloud strategy is key

For organisations to truly drive enterprise-wide agility, innovate faster, and modernise the way they work, they need to rethink their approach to cloud and treat it like any other IT project. This means planning and allocating budget, having end-to-end visibility, and putting the right skills in place. Most importantly, it means knowing exactly what the business wants to achieve from the cloud and how it will meet their business goals – as this will give the ultimate judgement of whether any investment is wasted.

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How AI is bringing a new dimension to software testing

Software testing teams analyse and correct thousands of code on a daily basis to ensure the final product is free of errors. However, the on-demand customer expects software to be comprehensive in functionality and delivered with precision and speed. Current software testing procedures are not scalable to meet these needs, nor are they cost- or time-efficient in the digital economy.

As products become more complex to create, the code becomes more challenging to test accurately. Manual testing exposes development teams to many challenges—code changes causing errors elsewhere in the product, the considerable length of regression testing cycles, resourcing constraints of hiring skilled software testers to meet demand, and more.

While the current practices of agile and DevOps increase the pace of software development, meeting near-future market needs requires the power of predictive technologies to enhance traditional software testing solutions.

Artificial intelligence (AI) and machine learning (ML) provide a dynamic framework to predict and solve code writing errors before they appear. The more data patterns ML analyses, the more processes and self-adjustments can operate based on those learned patterns. This continuous delivery of insights increases in value with the “intelligence” of the technology. AI has enormous potential to reshape software development. When properly leveraged, AI solutions drive efficiency, optimise processes, and enhance experiences.

Let’s take a closer look at some of the key advantages of implementing AI/ML for testing software during the development process:

Automating and accelerating the testing process

Deploying AI/ML to the software testing process is not to replace human testers, but rather for technology to work in collaboration with humans to make the software development lifecycle more efficient and productive. Software companies utilise the skills of AI/ML experts to apply technology solutions that operate in conjunction with, and complement, traditional software testing processes and solutions already in place.

AI can automate and reduce the number of routine tasks in development and testing, beyond the limitations of traditional test automation tools. Software companies can train AI algorithms to instantly recognise, capture, and analyse large amounts of data sets to expedite the testing process because speed, cost, and efficiency are vital when it comes to testing software codes.

For example, a traditional software test tool analyses tests without discernment, analysing every possible test available. AI can significantly add value and efficiency by reviewing the current test status, recent code changes, and other code markers, deciding which tests to run, and executing them. This allows for scalable and efficient decision-making, freeing software engineers to spend time on more complex and strategic tasks.

Removing bugs

Bugs naturally occur during software development, posing a major pain point for software testing teams. Software companies can use AI and ML algorithms across the company’s library to flag coding mistakes and discover bugs before developers include them in the code. This application of AI algorithms can help development teams save a significant amount of time and resources by not having to manually find and address bugs. Ultimately, AI can also help software companies to decide whether further coding changes are required to prevent program errors.

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ThousandEyes launches live Global Internet Outages Map


Sabina Weston

24 Mar, 2020

Network intelligence company ThousandEyes has launched Internet Outages Map, a tool that provides real-time visualisation of the current state of the global internet health, based on ThousandEyes’ internet Insights.

ThousandEyes’ map provides consumers, businesses, industry analysts and other parties with an insight into ongoing and recent internet outages that may be affecting the experiences of their customers or employees.

The tool uses data from the company’s «vantage points» situated around the world, which perform billions of measurements each day to detect when traffic flows are disrupted within ISPs, public cloud networks and other service providers.

«Over the past couple of weeks, we’ve been inundated with requests from businesses, industry analysts and other various parties wanting to get a better understanding of global internet health during these trying times,» said Mohit Lad, co-founder and CEO of ThousandEyes.

«Today, we’re thrilled to release the Global Internet Outages Map to give businesses and consumers alike a reliable source based on actual internet telemetry instead of public rumor to help them understand what’s happening on the Internet at any point in time.»

The service was launched following a mass migration of employees from the office into working from home, due to the recommendations of governments and employers aiming to reduce to the deadly impact of the coronavirus outbreak.

This has caused an unprecedented level of internet usage, with Vodafone sustaining a 50% surge in demand for data services in some markets, while popular streaming sites such as YouTube or Netflix announcing that they will lower the standard of its streaming quality in order to prevent a much-feared internet-speed bottleneck. 

“Despite massive traffic increases — particularly across consumer last-mile networks — we have not seen a significant corresponding spike in Internet outages, which can occur when traffic levels strain network capacity,” wrote product marketing director Angelique Medina in ThousandEyes’ blog post. “However, there has been an upward trend line in outages over the last three weeks compared with the previous three-week baseline.”

The company says that the Global Internet Outages Map is available at www.thousandeyes.com/outages to anyone at any time, and also provides information in the form of a historical timeline depicting outage volume over the last 24 hours.

How to accelerate your hyperconverged healthcare cloud: A guide

In the race for digital transformation, even in healthcare, there is a need to implement the right systems and solutions to maximise uptime, increase operational performance and to reduce downtime. However, it isn’t as simple as going out to a supermarket to buy a loaf of bread. There are so many potential solutions and systems on the market claiming that they do the job – but do they?

That’s the question that should arise whenever anyone is trying to resolve anything from latency to data storage. However, it’s not an easy question to answer, as the healthcare IT landscape is ever-changing.

Martin Bradburn, CEO of Peasoup Hosting, therefore comments: “For the healthcare sector, cloud infrastructure with its security and scalability can, and in some instances is already accelerating the development of clinical applications. Digital transformation is also changing the way healthcare operates, connecting remote clinical specialist resources directly to the patients for improved diagnosis on a worldwide scale.”

He adds that the use of cloud technology, more precisely "its ability to efficiently process and deliver data in a collaborative manner, analysing data into meaningful information… can relieve the current healthcare challenges. Equally, by using cloud IT infrastructure instead of the one on-premise healthcare, organisations pay more efficiently for what they use,” says Bradburn.

Hyperconverged benefits

In a January article for HealthTech magazine, ‘The Benefits of Hyperconvergence in Healthcare’, freelance journalist Tommy Peterson writes: “With expansions, mergers and an increased reliance on new technologies, the healthcare landscape is changing at dizzying speed.”

That’s because IT teams are being pushed to keep pace with digital transformation, to “navigate complex logistics and help to cut costs and deliver better patient care”, he says, while citing David Lehr, CIO of Luminis Health, a new regional healthcare system in Maryland, comprising Anne Arundel Medical Center and Doctors Community Medical Center.

Lehr adds: “We need to be good stewards of the investments our communities make in us. Driving up unnecessarily high costs on complicated IT infrastructure that takes an army of people to manage isn’t a great way to live up to that expectation.” So, in essence hyperconvergence is seen as the answer, which is to achieve through consolidation to save money and to enhance reliability; by using virtualisation to streamline applications; and he argues that simplification makes data more useful, secure and accessible by making it easier to move on-premise applications to the cloud.

David Trossell, CEO and CTO of Bridgeworks, argues hyperconverged systems have many benefits to the smaller healthcare providers. "By consolidating down multiple technologies from multiple providers for all the separate equipment that forms a modern data centre, along with all the differing support contracts and possible iteroparity issues that can occur, hyperconverged brings this all down to one or two providers," says Trossell.

“Whilst hyperconvergence solves many day-to-day issues in the data centre the biggest threats these days emanate from outside of it in the form of cyber-attacks, and these attacks are getting more and more sophisticated in their approach," Trossell adds. "Where once healthcare companies could revert to the backups and reload; these cyber criminals are content with just attacking online data, they have now even started to attack the backup software and backup data. This forces healthcare companies to seek new levels of data security that are on multiple levels and redundancy across multiple locations.” 

Technology management

Hyperconvergence can also permit healthcare organisations to know when they need to expand or upgrade their technology. When everything has been tested, and whenever there is a need to speak to a supplier’s technical support, they will only need to make one call.

Bradburn adds: “Hyperconvergence is becoming the new standard in infrastructure; there are many commercial offerings that simplify the management and provide greater control of the local infrastructure, ensuring higher availability. The physical infrastructure sizes are reduced, with lower power and cooling requirements and with less management complexity, which has obvious cost-saving benefits in the healthcare sector and reduces the risks of failure.

“A cloud service takes this reduction in risk and complexity to the next level by removing all the infrastructure management. This compliments the healthcare environment, removing the traditional budget limitations with over or under provisioning. This also makes it easier to extend the infrastructure into the cloud to provide the elastic growth, ensuring the infrastructure is always the right size to meet the demands of the users and applications.”

Team collaboration

With applications becoming more mobile and web-based, Bradburn notes there is an increasing team collaboration trend in real-time product development, analysis and reporting. With this in mind, he argues that the cloud environment is “perfect for big data sets – archiving, pulling out and data manipulation is fast and effortless. This is vital for all services when the response is urgent.”

He adds that a cloud can provide an air gap and be bundled with cloud back-up and disaster recovery services. These services 'minimalise and mitigate the risk of cyber-attacks such as hacking or ransomware', as he puts it.

“It's a great solution for all organisations seeking to leverage the cloud while keeping governance and privacy their highest priority. Cloud offers to healthcare organisations a cost-effective way to ensure complete availability of the IT infrastructure whilst limiting vulnerabilities.”

Transporting data

“Using the cloud as on offsite data protection facility has many advantages in cost and, if done correctly, an air-gapped depository”, says Trossell, who believes there is a need for new thinking about how data is transported. He says it’s imperative to move off-site data to a HIPPA compliance cloud, or to multiple cloud providers. 

Placing your data in one data or cloud is highly risky. Healthcare companies therefore need to recognise that not only does their data need be backed up in several locations, but also “that until the last byte of backup data has been received by the cloud, there is no backup.”

Trossell explains that the ability to move data in a timely fashion to the cloud is governed by three factors: latency, packet loss and the bandwidth of the WAN link. He adds: “In many cases we see the assumption that if you want to improve the way in which data moves across the WAN, the answer is to throw bandwidth as the problem.” The trouble is that the existing bandwidth may be completely adequate, and so it may just be latency and packet loss that are affecting WAN performance.

WAN acceleration needed

“The norm is to employ WAN optimisation to resolve the issue”, reveals Trossell. The trouble is that this commonly has little effect on WAN performance – particularly when data must be encrypted. He adds: “The other go to technology in the WAN armory is SD-WAN. Whilst this is great technology; it doesn’t solve the WAN latency and packet loss issues.” The answer to mitigating the effects of latency and packet loss is WAN acceleration, which is also referred to as WAN data acceleration.

Trossell adds: “WAN acceleration approaches the transport of data in a new way. Rather than trying to squash the data down, it uses parallelisation techniques controlled by artificial intelligence (AI) to manage the flow of data across the WAN, whilst mitigating the effects of latency and packet loss.”

What’s great about it, in his view, is that the solution doesn’t change the data in any way, and it can be used in conjunction with existing back-up technologies and SD-WANs. This in turn will drive up the utilisation of the WAN bandwidth to 95%. He therefore notes: “That bandwidth you currently have may, may just be enough for your needs.”

Reducing network congestion

“Due to the nature of this sector, healthcare organisations are often multi-located with other organisations and third-party suppliers in different countries”, says Bradburn. “To improve data transfer across entire network, including the cloud and even for mobile healthcare workers, organisations can implement WAN data accelerators.” He emphasises that the technology reduces network congestion, while optimising the traffic traversing the WAN.

“This improves performance and acceleration of applications across WAN considerably, enabling the real time collaboration required for effective patient healthcare”, he explains, commenting that the healthcare sector has made a big shift in recent years to the public cloud. Machine learning and artificial intelligence are “pushing the cloud adoption further.” Many of these technologies, clouds and cloud service depend on WANs, and so they can be affected by the spectres of latency and packet loss.

Hyperconverged cloud benefits

However, Trossell believes that many of these technologies offer significant benefits to healthcare organisations. “Properly deployed and managed, cloud-based solutions offer healthcare organisations unprecedented opportunities to innovate, develop and deploy applications while still maintaining privacy, security and compliance.”

As for hyperconverged infrastructure, he says: “A hyperconverged infrastructure, by combining and virtualising the components of networking, security storage and compute into a single box or clusters of multiple boxes removes the complexity of a separated traditional model”.

Trossell summarises the key benefits as being:

  • The physical size of the infrastructure is reduced, saving power and cooling cost
  • The management of the infrastructure is simplified, reducing the overhead of staff management time and different skill sets for each component
  • The resilience and performance are higher are there are fewer interconnecting
  • components that can cause bottlenecks or failures

New standard: Hyperconvergence

Hyperconvergence, Trossell finds, is rapidly becoming the new standard in performance and reliability. It also benefits healthcare organisations without impacting on management costs, maintenance and hosting.  Yet, there is no getting away from the importance of connectivity – particularly at a juncture when the uptake of cloud services is increasing.

“In some instances, the distance between on-premise servers and the cloud cause data transfer latency, which becomes the limiting factor, rather than the size of the bandwidth, especially when transferring large medical imagery," says Trossell.

“More and more healthcare organisations implement WAN accelerators to mitigate the above issues. By adding WAN data accelerators, the data can be moved at a high speed across lower bandwidth connections over substantial distances, providing faster access to information and better patient care.” 

Healthcare IT tips

In summary Bradburn and Trossell offer their 5 top tips for consolidating, simplifying, increasing the performance and reducing the cost of healthcare IT:

  • Research your cloud supplier – smaller cloud providers often offer predictable and simple pricing, unlimited bandwidth that’s preferable in the private sector. Always check the small prints and annexe. Some of the cloud providers offer a low cost per unit but additional charges for ingress and egress, which can make the whole solution twice as expensive
     
  • Deploy green technologies – we know that new technologies perform better and have a lower carbon footprint. Offsetting carbon emissions by planting more trees is one way to deal with climate change. But there are cloud suppliers that utilise ecological data centres. Some of them use a liquid technique for cooling IT infrastructure. Liquid cooling offers a much higher performance level ready for big data transfers. This is especially helpful in specific applications like x-ray or video surgeries
     
  • Consider data sovereignty – For example, GDPR compliance is one of the most important safeguards for any companies. Due to the nature of the healthcare sector it’s critical that personal data is stored securely and not replicated overseas. To stay competitive, some cloud providers use foreign data centres for data replication. So, don’t risk and check before you commit
     
  • Mitigate latency and packet loss – Use WAN Acceleration to improve WAN performance by mitigating latency and packet loss. Even SD-WANs will benefit from a WAN performance overlay
     
  • Consider the benefits of hyperconvergence and how it will enable your healthcare organisation’s own operational performance  

So, where next for the hyperconverged healthcare cloud? Bradburn concludes that the next steps are centred around compliance and standards. He thinks there is a need to provide a truly global healthcare service with access to specialists across the globe and to be able to call on their expertise for remote diagnosis.” For example, this could be about clinicians sharing best practice, data and techniques to prevent a coronavirus pandemic; to work together collaboratively from afar to find a cure for cancer. 

This requires healthcare organisations to build “networks that enable the efficiency in data transfer, storage facilities and security are the key challenges, whilst also defining the standards to ensure data formats from clinical systems and personal health IoT devices are universally understood.”

By undertaking these steps, and with the support of WAN acceleration, Bradburn believes the true power of the cloud can be utilised in the healthcare services of the future.

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What’s next for e-commerce?


David Howell

24 Mar, 2020

e-commerce continues to boom. The latest figures from the Office for National Statistics (ONS), show online sales accounted for 18.6% of all retail transactions in 2019. More startling is the growth of mobile channels: WorldPay predicts m-commerce spending will overtake e-commerce by 2023.

For retailers, evolving their business is the key to maintaining market share and nurturing customer loyalty. Research from Mintel published in 2019 is telling: 86% of Brits shop on Amazon, with nearly three-quarters (70%) of them buying something from the site at least once a month. 26% of them also have Prime accounts, giving them access to more and faster delivery options.

Speaking to Cloud Pro, Martin Willetts, technology consulting partner at Deloitte says: “The rate of evolution with consumer behaviours has been difficult for some brands to keep pace with. Those e-commerce organisations that are investing in the flexibility of systems, tools, and processes, are the ones turning the challenge into a real opportunity. 

“The biggest trend is how e-commerce organisations are transforming their capabilities, so they can adapt to support consumer needs while also scaling operations as digital shopping habits continue to proliferate,» Willetts continues. “Also, consumers are increasingly expecting full transparency from brands with regards to both the sustainability and ethical sourcing of products.”

Mobile retail channels will increasingly become the focus for consumers, as they consolidate their use of smartphones. The use of digital kiosks, self-service and cashless checkouts are expanding – all using smartphones as their payment mechanism.

According to a new State of Mobility in Retail Report from enterprise mobility management firm SOTI, 67% of consumers perceive mobile technology as the most effective way to provide a faster shopping experience. Additionally, more than three-quarters (76%) of consumers want in-store staff to use mobile devices to provide a better experience, and nearly one-third (32%) are unwilling to sacrifice personal data security to improve their in-store experience, revealing bold new insights about consumers in the modern retail landscape.

e-commerce is now a multi-channel, multi-touchpoint experience for consumers. They don’t see separate channels, but simply want convenience and speed when they are ready to buy goods and services.

Channel agnostic

The question of whether e-commerce businesses should become ‘mobile-first’ is now moot. The omnichannel has cemented itself as the model e-commerce, and m-commerce is based upon. Indeed, the distinctions are disappearing.

Mobile channels will become increasingly important as a commercial space. Estimates from GSMA suggest over the short term, 1.4 billion people will start using the mobile internet for the first time, bringing the total number of mobile internet subscribers globally to 5 billion. By 2025, the estimated figure rises over 60% of the global population.

“Looking at both commerce channels separately seems counter-intuitive to me,” says Ennis Al-Saiegh, CEO of Smarter Click. “The rise of mobile traffic and ultimately the improved conversion journeys that have had to be improved for this medium, has resulted in improved efficiencies if you treat both channels as a pure ‘commerce’ channel. Treating them as one commerce channel means your brand values, user experience efforts and marketing teams are all aligned to deliver an enhanced experience.”

Deloitte’s Willetts adds: “A ‘Unified Commerce’ approach across physical and digital channels that is modular, flexible and data-driven will be key to ensuring memorable shopping experiences. There is huge potential for retailers to achieve greater value from their marketing spend, seeking to drive customers to the business from any channel to any channel. Again, with a consistent marketing experience regardless of the medium.”

How businesses will construct their e-commerce storefronts is also changing. Headless commerce separates the design of a business’ e-commerce enabled website, with the IT infrastructure that supports it. The practical advantage is the deployment of an e-commerce business can easily be multi-channel. 

Speaking to Cloud Pro, Chris Adriaensen, senior manager of solutions engineering at Auth0, explains: “Headless content is effectively the removal of the end-user interface from backend systems, providing e-commerce solutions as a set of flexible APIs. Front-end developers can take user data and content to create far more dynamic and personalised experiences across different devices and touchpoints. 

“Headless e-commerce allows for more than ‘if you liked these teabags, buy this coffee’ and means content can be delivered in more effective ways, suited to the identity of the user. Power users might get a different experience than first-time buyers, for example. With new tech-driven experiences, such as Amazon Go-style smart stores and AR-powered dressing rooms for clothing still in their early stages, a ‘headless’ approach also facilitates a faster time to market allowing retailers to adapt to new channels, technologies and use cases.”

Consumers want integrated, cross-channel shopping experiences with their purchase journey beginning on one channel and often ending on another – increasingly, their smartphones. Supporting this level of integration is a significant challenge. Here, automation can help and will expand their influence as new services come onstream to help multi-channel retailers deliver their goods to diverse audiences.

New opportunities

According to Statista, 35% of American households have a smart speaker. What’s more, over a quarter, 26% made a purchase using their speaker last year. This rapid expansion of voice commerce is set to continue. 

Data has also become a vital component of successful e-commerce. With masses of information collected about the shopping preferences of individuals, the future of commerce is personal. Brands and retailers that can make personal connections with their customers and deliver new innovative experiences will maintain and expand their market share.

Finding patterns and value in the data being collected will become the province of AI. «Though most e-commerce companies today aren’t using AI in earnest today, we expect this to change rapidly over the next couple of years,” explains Michael Scharff, CEO of AI-powered conversion platform Evolv. “We see AI as a means to an end, not an end itself. e-commerce companies should look to adopt AI to differentiate themselves from the competition, create exceptional omnichannel experiences, and enhance their customer experiences.

Gartner predicts that, in 2020, 85% of customer interactions are managed without human involvement. It’s a trend that has moved at rapid speed. In connection with mobile devices and personal assistants, AI makes a powerful tool for shoppers. Finding products by visual search or making orders via voice assistants becomes hassle-free.

And no retail business can now ignore social media as a commercial channel. According to the most recent “Reimagining Commerce” report from Episerver: “On average, one-fifth of consumers have made purchases directly because of a social media influencer’s product post. Among younger consumers, that number is even higher, with 50% of Gen Z shoppers and 48% of millennials having purchased products either directly by clicking on a post or later on as a result of the influencer’s endorsement.”

Deloitte’s Willetts concludes: «A key technology trend, in response to evolving consumer behaviours, is the need for a flexible and adaptable Commerce platform – with ‘cloud’, ‘headless’ and ‘microservice-based architecture’ often being near the top of business’s requirements list.

“These trends have led both to a resurgence in custom-built e-commerce platforms using smaller ‘lighter’ SaaS vendor’s offerings – as well as some of the larger e-commerce platform vendors re-architecting their platforms regularly to avoid being left behind.”

How consumers connect with the stores they want to buy from will also be transformed as the Internet of Things (IoT) and 5G expand and mature. Using the smartphone as the conduit to reach individuals when environments become smart and connection speeds have low latency delivers massive opportunities to all businesses no matter their size.

e-commerce is changing once again. Customer-facing websites and portals will increasingly adopt the headless approach, with the smartphone now the key battleground for consumer spending. Integration is the key to successfully navigating the next stage of e-commerce evolution.

Blog: How cloud companies are reacting to Covid-19 and services offered: AWS, Alibaba, and more

LIVE As the Covid-19 pandemic continues, with citizens across many countries urged to work from home where possible, it has posed a unique challenge for both frontend applications and the backend technologies underpinning them.

A lot of attention has, understandably, focused on the former. Zoom, which appears to be the videoconferencing tool du jour for many businesses, has held up well thus far, although at the time of print (March 23) some downtime issues in the UK have been detected. Similarly, outside of work, Netflix is lowering its video quality to keep up with demand. Yet underneath it all, cloud infrastructure providers are aiming to keep their systems online throughout the pandemic.

Whether it is cloud software or infrastructure, many of the world’s leading companies are making their tools available for certain users – primarily healthcare organisations or researchers working on Covid-19.

CloudTech is putting together a list of offerings from vendors reacting to the Covid-19 crisis, which can be found below. If your organisation is not on this list and is making products available, let us know at editorial@techforge.pub.

Hyperscaler highlights

Alibaba Cloud said on March 23 that the Alibaba Foundation and Jack Ma Foundation had recently launched the Global MediXchange for Combating Covid-19. The project, with the support of Alibaba Cloud Intelligence and Alibaba Health, was established to ‘facilitate continued communication and collaboration across borders, as well as to provide the necessary computing capabilities and data intelligence to empower pivotal research efforts’, the company said. You can find out more about the initiative here.

In a previous Canalys report, Alibaba Cloud had been praised for offering credits to organisations enabling them to buy its Elastic Compute Service, as well as cybersecurity services. The company also made its AI-powered platform freely available to research institutions working on treating and preventing coronavirus. You can find out more about these services here.

Amazon Web Services (AWS) announced on March 20 that it was committing $20 million for customers working on diagnostics solutions. The AWS Diagnostic Development Initiative is open to accredited research institutions and private entities using AWS to support research-oriented workloads for the development of Covid-19 testing and diagnostics.

The initiative is being put together alongside 35 global research institutions, startups, and other businesses, and is being aided by an outside technical advisory group of leading scientists and global health policy experts. You can find out more about the project here.

Google Cloud announced on March 3 that it was rolling out free access to advanced Hangouts Meet videoconferencing capabilities to all G Suite and G Suite for Education customers globally, including larger meetings – up to 250 participants per call – as well as live streaming up to 100,000 viewers, and the ability to record meetings and save them to Google Drive.

The company has already taken other steps. On March 17, Google postponed its Cloud Next event, having previously made the decision to take its April 6-8 gathering virtual-only.

IBM said on March 22 that it was collaborating with the White House and the US Department of Energy among others to launch the Covid-19 High Performance Computing Consortium. The company said it would pool an ‘unprecedented’ amount of computing power – 16 systems with more than 330 petaflops, 775,000 CPU cores, 34,000 GPUs and more – to ‘help researchers everywhere better understand Covid-19, its treatments and potential cures.’

The next step, IBM added, is to work with consortium partners to ‘evaluate proposals from researchers around the world and provide access to this supercomputing capacity for the projects that can have the most immediate impact.’ According to reports, citing President Trump, Amazon, Google, and Microsoft are also part of the consortium.

Microsoft announced on March 19 that National Health Service (NHS) staff in the UK can use collaboration tool Microsoft Teams for free. NHS Digital rolled out Teams across all NHSmail users between March 16 and March 20.

In the US, Microsoft has helped design a ‘coronavirus self-checker’ in a project alongside the US Centers for Disease Control and Prevention. As reported on March 23 the bot, called Clara, aims to help people make decisions about what to do if they have potential Covid-19 symptoms.

Timeline

March 23: Banyan Security, a San Francisco-based vendor, said it would offer free access to its Zero Trust security offering ‘for a limited time’ in the wake of the coronavirus pandemic.

March 23: Cisco said it would commit $225 million to coronavirus response to ‘support healthcare and education, government response and critical technology.’ The funds, $8m in cash and $210 in product, will in part go to the United Nations Foundation’s Covid-19 Solidarity Response Fund.

March 20: Huawei said it had worked with Huazhong University of Science & Technology and Lanwon Technology on an AI project to help ease the burden on imaging doctors who are able to diagnose and quantitatively analyse Covid-19.

March 17: ServiceNow announced it was making certain apps available to any public agency in the world to help deal with the coronavirus pandemic. The primary app, an emergency response operations app, was built by Washington State on the ServiceNow platform.

March 17: Okta is offering free single sign-on (SSO) and multi-factor authentication (MFA) for secure remote working. “Any organisation that would find value in leveraging the Okta Identity Cloud for remote work during an emergency situation should be able to do so at no cost,” the company wrote.

March 17: Dropbox said it was ‘proud’ to offer free Dropbox Business and HelloSign Enterprise subscriptions for a three-month period to non-profits and NGOs focused on fighting Covid-19. Eligible organisations are encouraged to apply here.

March 16: Box CEO Aaron Levie said via Twitter that anybody working on Covid-19 research or response efforts could email rapid-response@box.com to set up free secure file sharing and storage.

March 16: Stewart Butterfield, CEO of Slack, said people working on Covid-19 research, response or mitigation were entitled to free upgrades to paid plans, setting up consultation for remote collaboration best practices among others. Users are asked to email covid@slack.com

https://www.cybersecuritycloudexpo.com/wp-content/uploads/2018/09/cyber-security-world-series-1.pngInterested in hearing industry leaders discuss subjects like this and sharing their experiences and use-cases? Attend the Cyber Security & Cloud Expo World Series with upcoming events in Silicon Valley, London and Amsterdam to learn more.