Amazon Web Services (AWS) has been a part of Malaysia’s digital transformation journey since 2015 when we established our presence in the country with a local marketing entity, AWS Malaysia Sdn. Bhd. The announcement by the Malaysian Government outlining the Malaysia Digital Economy Blueprint via MyDigital marks a milestone in the nation’s journey to transform to a digital economy, built on cloud computing. As part of this journey, AWS is delighted to be named as a Cloud Service Provider for the Government of Malaysia by the Malaysian Administrative Modernisation and Management Planning Unit (MAMPU).
With the right technology, governments, nonprofits, economic development organisations, and other entities can improve their internal operations, become more productive and, ultimately, focus more acutely on serving citizens. This can support business growth and help citizens enjoy improved quality of life. As organisations increasingly embrace cloud-based solutions, long-lasting effects can be realised in the form of community-wide collaboration, partnerships with local businesses, and increased innovation. These organisations can in turn wield greater influence on economic development and growth. The cloud also provides affordable IT services for entrepreneurs, helping them start and scale companies quicker and more reliably. These efforts pave the way toward building new businesses and a more productive workforce, which boosts local economic development.
AWS works closely with state governments, education institutions, and not-for-profit organisations in Malaysia to accelerate innovation, increase agility, and drive cost savings through the cloud. Our Malaysian customers range from public sector entities such as Smart Selangor Delivery Unit (SSDU), Asia Pacific University, and other government agencies, to enterprises including Petronas, Maxis, Astro, and Boost (Axiata), to startups like StoreHub, FashionValet, and 123RF.
SSDU leverages cloud computing to transform government services
SSDU started working with AWS in 2018 when they first built a Citizens Electronic Payments Platform for Malaysians to access paid government services through a highly scalable and reliable central mobile and web portal on AWS. Using the centralised platform, SSDU was able to conduct data analysis in identifying trends with near real-time data generated across the entire Selangor state to forecast and optimise services, accelerating the development of new solutions without large upfront investments. At the beginning of the COVID-19 pandemic, SSDU rolled out an operation dashboard on AWS that provided critical data for making real-time decisions to enforce containment measures. Simultaneously, SSDU facilitated the shift of over 1,000 local traders to sell products from physical to online stores to enable business continuity.
Using AWS, SSDU gained the control and confidence they needed to securely run their platform with the most flexible and secure cloud computing environment available today. As an AWS customer, SSDU benefits from AWS data centres and a network architected to protect all customer information, identities, applications, and devices. With AWS, SSDU has improved its ability to meet core security and compliance requirements, such as data locality, protection, and confidentiality using AWS’s comprehensive services and features. We look forward to partnering with more government agencies, empowering them to transform their digital service offerings for citizens.
Optimising the educational experience with cloud
Education institutions, like Asia Pacific University in Malaysia, have gone all-in on AWS, moving their entire technology infrastructure to AWS in order to transform the teaching and learning experience. They are running a mobile application for a cashless campus, deploying IoT services for their student attendance and queue systems, and using artificial intelligence and machine learning (AI/ML) for part of its learning environment. Asia Pacific University is delivering education resources to students 116 times faster than when they were using on-premises infrastructure, vastly improving students’ user experience.
Upskilling the next generation of cloud talent
Additionally, AWS Educate programme provides students and educators with resources and content that focus on building cloud skills in education institutions in Malaysia such as Universiti Malaya (UM), Universiti Kebangsaan Malaysia (UKM), Universiti Putra Malaysia (UPM), Universiti Sains Malaysia (USM), Universiti Teknologi MARA (UiTM), and Asia Pacific University of Technology & Innovation. In August-September 2020, AWS held the ASEAN DeepRacer Women’s League to encourage young women in higher education institutions to acquire skills in artificial intelligence (AI) and machine learning (ML), and discover how technology can be used to create innovations to solve real-world problems. Two Malaysian students attained the first and second runner-up in the ASEAN League.
AWS has also been nurturing the local startups in Malaysia, and providing cloud skilling to develop the future workforce. Through AWS startup programmes, we have helped reduce cost of experimentation and accelerate innovation with AWS promotional credits. For example, the AWS Trusted Advisor online tool helps startup customers reduce costs, increase performance, and improve security by checking their use of AWS services, and making suggestions to help optimise performance. We further offer a variety of free online education and livestreamed or on-demand training events for startups across Asia at every growth stage, including AWSome Days and the AWS Builders Online Series for early-stage founders new to the cloud. To date, AWS has supported and helped grow hundreds of startups that are headquartered in Malaysia.
AWS is deeply committed to providing Malaysia with the best-in-class cloud technology. We look forward to building upon our worldwide experience in working with over 7,500 government agencies, more than 14,000 academic institutions and over 35,000 nonprofit organisations, alongside millions of active customers across other vertical industries around the world, to support the Government of Malaysia on its digital transformation journey.
Today, thanks in large part to the cloud, actions such as communicating over text or transferring funds digitally are so commonplace, we hardly even think about how incredible these processes are; as we enter the golden age of machine learning, we can expect a similar boom of benefits that previously seemed impossible.
Machine learning is already helping companies make better and faster decisions. In healthcare, the use of predictive models created with machine learning is accelerating research and discovery of new drugs and treatment regiments. In other industries, it’s helping remote villages of Southeast Africa gain access to financial services, and matching individuals experiencing homelessness with housing.
While the short term applications are encouraging, machine learning could potentially have an even greater impact on our society. In the future, machine learning will be intertwined and under the hood of almost every application, business process, and end-user experience. However, before this technology becomes so ubiquitous that it’s almost boring, there are four key barriers to adoption we need to clear first.
Democratizing machine learning
The only way that machine learning will truly scale is if we as an industry make it easier for everyone – regardless of their skill level or resources – to be able to incorporate this sophisticated technology into applications and business processes.
To achieve this, companies should take advantage of tools that have intelligence directly built into applications that their entire organization can benefit from. For instance, 123RF, a homegrown stock photography portal, aims to make design smarter, faster, and easier for users. To do so, it relies on Amazon Athena, Amazon Kinesis, and AWS Lambda for data pipeline processing. Its newer product Designs.ai Videomaker uses Amazon Polly to create voice-overs in more than 10 different languages. With AWS, 123RF has maintained flexibility in scaling its infrastructure and shortened product development cycles and is looking to incorporate other services to support its machine learning & AI research.
As processes go from being manual to automatic, workers are free to innovate and invent, and companies are empowered to be proactive instead of reactive. And as this technology becomes more intuitive and accessible, it can be applied to nearly every problem imaginable–from the toughest challenges in the IT department, to the biggest environmental issues in the world.
Upskilling workers
According to the World Economic Forum, the growth of AI could create 58 million net new jobs in the next few years. However, research suggests that there are currently only 300,000 AI engineers worldwide, and AI-related job postings are three times that of job searches with a widening divergence. Given this significant gap, organizations need to recognize that they simply aren’t going to be able to hire all the data scientists they need as they continue to implement machine learning into their work. Moreover, this pace of innovation will open doors and ultimately create jobs we can’t even begin to imagine today.
That’s why companies in the region like Asia Pacific University, DBS, Halodoc and others are finding innovative ways to encourage and nurture more young talents to gain new machine learning skills in fun, interactive hands-on ways, such as the AWS DeepRacer League. It’s critical that organizations should not only direct their efforts towards training the workforce they have with machine learning skills, but also invest in training programs that develop these important skills in the workforce of tomorrow.
Instilling trust in products
With anything new, often people are of two minds – either an emerging technology is a panacea and global savior, or it is a destructive force with cataclysmic tendencies. The reality is more often than not, a nuance somewhere in the middle. These disparate perspectives can be reconciled with information, transparency, and trust.
As a first step, leaders in the industry need to help companies and communities learn about machine learning, how it works, where it can be applied, ways to use it responsibly, and understand what it is not.
Second, in order to gain faith in machine learning products, they need to be built by diverse groups of people across gender, race, age, national origin, sexual orientation, disability, culture, and education. We will all benefit from individuals who bring varying backgrounds, ideas, and points of view to inventing new machine learning products.
Third, machine learning services should be rigorously tested, measuring accuracy against third party benchmarks. Benchmarks should be established by academia, as well as governments, and be applied to any machine learning-based service, creating a rubric for reliable results, as well as contextualizing results for use cases.
Regulation of machine learning
Finally, as a society, we need to agree on what parameters should be put in place governing how and when machine learning can be used. With any new technology, there has to be a balance in protecting civil rights while also allowing for continued innovation and practical application of the technology.
Any organization working with machine learning technology should be engaging customers, researchers, academics, and others to best determine the benefits of its machine learning technology with the potential risks. And they should be in active conversation with policymakers, supporting legislation, and creating their own guidelines for the responsible use of machine learning technology. Transparency, open dialogue, and constant evaluation must always be prioritized to ensure that machine learning is applied appropriately and is continuously enhanced.
What’s next
Through machine learning we’ve already accomplished so much, and yet, it’s still day one (and we haven’t even had a cup coffee yet!). If we’re using machine learning to help endangered orangutans, just imagine how it could be used to help save and preserve our oceans and marine life. If we’re using this technology to create digital snapshots of the planet’s forests in real-time, imagine how it could be used to predict and prevent forest fires. If machine learning can be used to help connect small-holder farmers to the people and resources they need to achieve their economic potential, imagine how it could help end world hunger.
To achieve this reality, we as an industry, have a lot of work ahead of us. I’m incredibly optimistic that machine learning will help us solve some of the world’s toughest challenges and create amazing end-user experiences we’ve never even dreamt. Before we know it, machine learning will be as familiar as reaching for our phones.
Maxis is one of the only telecommunications companies in Malaysia already embracing the cloud. The company embarked on its journey to become a one-stop provider for connectivity and infrastructure for Malaysia back in 2019 with an early partnership with AWS (Amazon Web Services) who is currently the most prolific web service platform in the world. Today, they are announcing that they have successfully achieved new accreditation as an AWS Advanced Consulting Partner; making them the only telecommunications company in Malaysia to have done so. This solidifies their claim to being one of the most equipped converged solutions providers in the country.
The new accreditation certifies that Maxis is equipped to provide its customers and partners with the technical support and know-how to migrate and sustain their businesses in the cloud. To achieve this, Maxis has to demonstrate a sustained competency in their workforce equipped and certified by AWS for the many services that their platform provides. This includes taking advantage of the Machine Learning and Artificial Intelligence components available on AWS.
In addition to this, Maxis is now also offering AWS Direct Connect. AWS Direct Connect allows customers to access AWS directly via a dedicated network connection with one of the many AWS Connect locations using industry-standard 802.1q VLANs. This also allows customers to partition the connection into multiple virtual interfaces easing access to object instances in the AWS public and private clouds while maintaining network separation.
The new accreditation comes on the heels of Maxis having announced key acquisitions that have bolstered the company’s position as one of the most equipped telecommunications companies in Malaysia able to empower businesses in their digitization journey. The company has also been certified in the AWS Public Sector Partner program with over 300 Maxis employees being accredited and undergone comprehensive training by AWS.
This is the golden age of machine learning (ML). Once considered peripheral, ML technology is becoming a core part of businesses around the world, regardless of the industry. By 2021, the International Data Corporation (IDC) estimates that spending on artificial intelligence (AI) and other cognitive technologies will exceed $50 billion.
Locally, 25% of organizations say they are setting aside at least 10% of their budget for technology, which includes investments in big data analytics (64%), cloud computing (57%), Machine Learning and artificial intelligence (33%), and robotic process automation (27%), based on the Malaysian Institute of Accountants’ “MIA-ACCA Business Outlook Report 2020″. [1] As more companies gain awareness of the importance of ML, they should work towards getting it in motion as quickly and effectively as possible.
At Amazon, we have been on our own ML journey for more than two decades – applying it to areas like personalization, supply chain management, and forecasting systems for our fulfillment process. Today, there is not a single business function at Amazon that is not made better through machine learning.
Whether your company is just getting started or in the middle of your first implementation, here are the four steps you should take to have a successful machine learning journey.
Get Your Data in Order
When it comes to adopting machine learning, data is often cited as the number one challenge. We found that more than 50% of time spent in building ML models can be spent in data wrangling, data cleanup, and pre-processing stages. Therefore, prioritize investing in the establishment of a strong data strategy to avoid spending excessive time and resources on data cleanup and management.
When starting out, the three most important questions to ask are:
What data is available today?
What data can be made available?
A year from now, what data will we wish we had started collecting today?
In order to determine what data is available today, you will need to overcome data hugging – the tendency for teams to gatekeep data they work with most closely. Breaking down silos between teams for a more expansive view of the data landscape while still maintaining data governance is crucial for long-term success.
Additionally, identify what data actually matters as part of your machine learning approach. Think about best ways to store data and invest early in the data processing tools for de-identification and/or anonymization, if needed.
Identify the Right Business Problems
When evaluating what and how to apply ML, focus on assessing the problem across three dimensions: data readiness, business impact, and machine learning applicability.
Balancing speed with business value is key. Instead of trying to embark on a three-year ML project, focus on a handful of critical business use cases that could be solved in the upcoming six to 10 months. Start by identifying places where you already have a lot of untapped data and evaluate if machine learning brings benefits. Avoid picking a problem that is flashy but has unclear business value, as it will end up becoming a one-off experiment.
Champion a Culture of Machine Learning
In order to scale, you need to champion a culture of machine learning. At its core, ML is experimentation. Therefore, it is imperative that your organization embrace failures and take a long-term view of what is possible.
Businesses also need to combine a blend of technical and domain experts to work backward from the customer problem. Assembling the right group of people also helps eliminate the cultural barrier to adoption with a quicker buy-in from the business.
Similarly, leaders should constantly find ways to simplify the process of ML adoption for their developers. Since building ML infrastructures at scale is a time and labor-intensive process, leaders should encourage their teams to use tools that cover the entire ML workflow to build, train, and deploy these models efficiently.
For instance, 123RF, a homegrown stock photography portal, aims to make design smarter, faster, and easier for users. To do so, it relies on Amazon Athena, Amazon Kinesis, and AWS Lambda for data pipeline processing. Its newer products like Designs.ai Videomaker uses Amazon Polly to create voice-overs in more than 10 different languages. With AWS, 123RF has maintained flexibility in scaling its infrastructure and shortened product development cycles and is looking to incorporate other services to support its machine learning & AI research.
Develop Your Team
Developing your team is essential to foster a successful machine learning culture. Rather than spending resources to recruit new talent in a competitive market, hone in on developing your company’s internal talent through robust training programs.
Years ago, Amazon created an in-house Machine Learning University (MLU) to help its own developers sharpen their ML skills or equip neophytes with tools to get started. We made the same machine learning courses available to all developers through AWS’s Training and Certification offering.
DBS Bank, a Singaporean multinational bank, employed a different approach. It is collaborating with AWS to train its employees to program their own ML-powered AWS DeepRacer autonomous 1/18th scale car, and race among themselves at the DBS x AWS DeepRacer League. Through this initiative, it aims to train at least 3,000 employees to be conversant in AI and ML by year end.
[1] MIA (Malaysian Institute of Accountants) and ACCA (Association of Chartered Certified Accountants), Business Outlook Report 2020, 2020
COVID-19 poses a unique challenge to businesses, forcing them to adopt practices which many only saw further down the road when it came to their digitization plans. In fact, we’ve seen the effects of the pandemic on many businesses who have failed to adapt or adopt plans to build in resilience in these unprecedented times. That said, the big question remains, “How can businesses be more resilient with the COVID-19 reality?”.
There are many factors that lend itself to a business’s resilience but one of the biggest factors is the company’s progress in their plans for digitization. Conor McNamara, Managing Director of ASEAN at Amazon Web Services (AWS), highlights that a company’s progress towards digitization, particularly in their adoption of cloud technologies, has been one of the determining factors of resilience during these times. He has also highlighted that the transition to the cloud isn’t simply a technological one, it’s a multifaceted one that builds in capacity, increases agility, changes mindsets, and transforms the culture of an organisation.
Thriving Businesses Have Used COVID-19 as an Impetus for Digitization
No one can deny it. The COVID-19 pandemic has changed the way that companies and businesses need to operate. Research has shown that the new realities of the pandemic have led to an increase in demand for resources such as the internet. This is inevitably spurred by the increased adoption of work from home policies necessitated by lockdowns the world over – a clear indication that our business realities have changed. This is corroborated by AWS, which reported an increased uptake of services such as Amazon Chime, their web-conferencing platform, Amazon Workspaces and other productivity related services.
“The COVID-19 pandemic has underscored the importance of digital transformation across all industries. So far indications are that organizations, including those in ASEAN, have already adopted DX plans and/or accelerated their transformation plans have been known to have coped better with the crisis.”
Daphne Chung, Research Director, IDC Asia Pacific (excluding Japan) cloud services, and software research group
That said, digitization doesn’t happen overnight. Companies have to create an environment that allows and empowers staff and decision makers to adopt technologies such as AWS. The adoption of public and private cloud technologies have allowed many AWS customers to adapt to the new realities more seamlessly. In fact, Globe Telecom was able to spin up virtual call centers with Amazon Connect which allowed them to adapt to the new realities with ease and even increase staff productivity since the pandemic hit. What’s more, the company was able to affect this transition in 24 hours. Of course, the reality is that not many companies will be able to do this.
“Many businesses and organizations have now understood the importance of the cloud and are committed more than ever to get their business on the cloud. At AWS, we keep many organizations functioning, and allow them to adapt when a crisis such as the pandemic occurs.”
Conor McNamara, Managing Director of ASEAN at Amazon Web Services
The new realities of the pandemic have allowed companies to expedite their plans for digitization and cloud adoption. Those who have been successful in taking advantage of the new realities as an impetus for plans already in the pipeline are the ones who have most demonstrated the most resilience with the current situation.
It’s always been said that digitization is a journey. Yet, we never think to ask who would be the best to guide and determine the course the company takes. Conor McNamara stresses that the business resilience of any given orgranisation is very dependent on the company’s executives. Decisions and policies made by CXOs are what will enable companies to maximize the opportunity that COVID-19 has presented to accelerate a company’s digital trajectory.
It’s pretty simple; when the decision to adopt cloud technologies and further advance the company’s digital journey comes from the level of CXOs, it naturally sets off a cascade which will allow companies to think differently. The CEO’s acceptance that the future of business is in the cloud sets off a cascade of events that start with the search for and upskilling of staff to meet the new needs of the business. The demand for skills that enable the company to be competitive and prepared for further advancements in their journey. It also creates a new mindset mired in the need to be agile and proactive to meet customer needs.
IDC sees an opportunity to manage the downturn better by using technology to minimize the impact of the current crisis and emerge on the other side of the curve resilient, more digitally fit and agile, and ultimately, better equipped to capture their share of the new opportunities as part of the “next normal”.
Daphne Chung, Research Director, IDC Asia Pacific (excluding Japan) cloud services, and software research group
This impetus prepares businesses to handle situations like the current pandemic. The skills, demands and needs of businesses literally changed overnight as countries began to lockdown. Brick and mortar businesses were forced to consider adopting digital and cloud technologies to keep their businesses viable. Businesses which were already making the shift to cloud and digital technologies with CXO driven policies have so far been the most resilient and adaptable.
In fact, the current realities have been used as an opportunity to upskill workforces. AWS shares that since the beginning of the lockdowns, there has been a sharp uptick in the demand for certification courses and trainings in their AWS Education platform.
It’s a People Related Change
Perhaps the most important quote we can share from Conor McNamara is this: “[Digital Transformation] is a People related change”. He said this while he was explaining some of the new realities AWS’s customers have been facing – and when it comes to it, it seems like the statement rings true in every aspect of a business’ digital transformation; every step of the way involves dealing with people.
The digital transformation journey is one that involves a major cultural change. A change that shifts the mindset of preparedness to deal with any given situation. Creating a culture of work which prepares staff for ambiguity and change. In some cases, these businesses have made failure a norm. They adopt providers such as AWS to minimise the cost of failure and continue to innovate. This is one of the hallmarks of a business which has been able to deal with the realities of the pandemic. These companies are ready or have already adopted cloud and are prepared for the new work from home norm; it wouldn’t be too farfetched to say that they may be the ones best prepared for the next norm post COVID.
Adopting cloud and shifting to digital usually has the connotation of being cold and impersonal. However, one take away from businesses that are showing resilience is that it couldn’t be further from the truth. These businesses have shifted their focus to their clients and customers building solutions catered to their needs. Perhaps more importantly, their digital transformation and shift to the cloud has made them more cognizant to the needs of their clients and customers.
Business Resilience is Built from the Top Down and Empowered by the right technologies
Essentially, business resilience is built from the top down with policies spearheaded by CXOs and CEOs that drive a cultural change in the company; one which prepares them for sudden and constant change, allowing businesses to be agile and adaptable. That said, these changes are empowered by companies such as AWS who provide the cost optimizations and technologies that allow this shift to happen. This has been tried and tested with the harsh realities of the pandemic.
As the world rapidly evolves, digitalization is taking place across all aspects of life, and ushering in a rise in cloud adoption. Today, it is vital for employees to understand and acquire the skills it takes to succeed and stay relevant for jobs in the digital economy. Cloud architects must keep up with the pace by adapting and expanding their existing skillset in order to be considered valuable candidates and employees.
As cloud adoption rises, it is not surprising to see growing demand for cloud expertise. Based on the Malaysian Institute of Accounts’ “MIA-ACCA Business Outlook Report 2020,” 25% of organizations in Malaysia say they are allocating at least 10% of their budget for technology, including investing in big data analytics (64%), cloud computing (57%) and more.[1] Yet, research shows that 90% of IT decision-makers report cloud skills shortages in their workforce.[2]
When I first started out in the IT industry years ago, the role of cloud architect was almost nonexistent. However, cloud adoption has grown considerably since then, and the role of cloud architect is currently in high demand and will continue to present endless opportunities for business growth and innovation.
But first – what does a cloud architect do?
Cloud architects are responsible for managing an organization’s cloud computing architecture. They have in-depth knowledge of the architectural principles and services used to develop technical cloud strategy, assist with cloud migration efforts, review workload architectures, and provide guidance on how to address high-risk issues. To do this, cloud architects need a mix of business, technical, and people skills, as well as an understanding of the always-evolving, technical training that may benefit their team.
At Amazon Web Services (AWS), I lead a team of cloud solutions architect in Southeast Asia, and we are constantly on the lookout for individuals with a builder’s mentality and a desire to build, invent, and innovate on behalf of their customers. This is especially important as the role of cloud architect has evolved beyond just architecting infrastructure solutions like database and storage, to building and innovating reliable solutions that involve emerging technologies such as machine learning.
What skills are most important for a cloud architect?
Flexibility and Eagerness to Learn
A cloud architect must be able to work in a wide variety of scenarios and be open to learn the unique requirements of each project. With a curious mind-set, cloud architects can be better equipped to seek out new approaches to problem solving.
Cloud architecture professionals must possess strong time management skills. Their days are varied and can include customer meetings to discuss problems and needs and designing architectural frameworks for those needs. As such, cloud architects are mindful to plan their days, prioritize their time on tasks, and understand how to maximize small pockets of time.
Communication Skills, Business Acumen, and Decisiveness
Cloud architects are encouraged to ask for a seat at the decision-making table and be prepared to communicate their design to any stakeholder. Successful cloud architects know how to communicate to audiences with little or no technical knowledge, while aligning their recommendations to business imperatives and the bottom-line. Other than that, stakeholders also rely on cloud architects to provide guidance from a calm, leading place of domain authority.
Industry Technical Credentials
A cloud architect must also possess the necessary technical skills to serve as the foundation for cloud architecture planning and management, including basic programming, software development and continuous integration, database, networking and security skills, modern application architecture skills, and more.
Additionally, cloud architects can attain an industry-recognized certification, such as the new AWS Certified Solutions Architect – Associate certification, which validates the ability to design and deploy well-architected solutions on AWS that meet customer requirements.
Over the last few years, I have seen cloud computing evolve from a relatively unknown technology to a leading driver of business results. While the technology has grown and changed significantly, most skills needed to succeed in its use have remained largely constant. By committing to understand how to use cloud to its full potential – and empowering the professionals who make that possible – we can make the most of the tremendous opportunity cloud creates for businesses and employees to thrive.
[1] MIA (Malaysian Institute of Accountants) and ACCA (Association of Chartered Certified Accountants), Business Outlook Report 2020, 2020
Paul Chen is the head of Architecture for Amazon Web Services ASEAN, Paul is responsible for managing a regional team of Solutions Architects, creating architectural best practices and working with customers on how they use the cloud for business transformation.
He has 30 years of pre-sales leadership and solutions experience in the IT Industry, with 15+ years in technical management across ASEAN and Asia Pacific. His breath of technology experience includes cloud architectures, application solutions development, database platforms, web-based applications, networking, enterprise mobility solutions, virtualized unified communications and customer experience platforms.
Can you briefly explain AWS Outposts?
AWS Outposts is here to support your applications that have low latency or local data processing requirements on premise. These applications may need to make near real time responses to end user applications or need to communicate with other on-premises systems or control on-site equipment. These can include workloads running on factory floors for automated operations in manufacturing, real time patient diagnosis or medical imaging, and content and media streaming. You can use AWS Outposts to run applications that need to access data stores that will continue to remain on-premises.
Businesses in Malaysia are stuck somewhere in between when it comes to could computing and going digital. Can AWS Outposts help them accelerate their digitisation? How can they benefit from it?
We continue to believe that in the fullness of time, the vast majority of companies will run almost all of their IT workloads in the cloud. It is today and always has been a priority for us to make it easy for customers to run AWS as a seamless extension of their existing on-premises infrastructure. However, we have many customers who are going to be running on-premises data centers alongside AWS for many years to come and at varying paces. These customers are looking to us to help ensure that they have seamless integration between these two environments. That’s why we have been investing so much in hybrid capabilities over the past several years.
AWS offers the broadest and deepest hybrid capabilities including data integration and transport services, integrated and dedicated networking services, and identity and access management solutions fully integrated with the on-premises environment. Today, customers can take the tools they have from VMware and use them to run their workloads on AWS. This partnership makes it easy for customers to run in a hybrid mode between AWS and their VMware-based on-premises deployments using the same VMware tools and skillsets they have today. And with the availability of AWS Outposts, customers can now use the same AWS APIs, control plane, tools, and hardware on-premises and in the AWS cloud to deliver a truly consistent hybrid experience.
Why choose Outposts instead of using the AWS’s pre-existing cloud infrastructure?
AWS Outposts is designed for several different uses cases where workloads need to run on premises due to latency requirements, like:
Manufacturing automation—operating manufacturing process control systems and automated plant assembly lines
Health care—delivering real-time medical diagnostics and imaging to physicians
Telecommunications—building new network services and deploying virtual network functionality
Media & entertainment—delivering live event streaming, real-time gaming, rendering, and VFX
Financial services—developing low latency trading platforms in a secure environment
Retail—delivering real-time interactive retail services and unifying apps across environments
With Outposts, customer can benefit of running low-latency workloads, processing data locally and be able to harness the innovative services available on the AWS cloud. This can mean advanced analytics to monetize data or adding machine learning and artificial intelligence services such as Amazon Rekognition, Amazon Personalize and Amazon Comprehend.
Customers should run AWS Local Zones when they need to run their applications with single-digit millisecond latencies close to end users, but they don’t want to build and operate a datacenter or co-location facility. They can run the parts of their application in the Local Zone that requires ultra-low latency and connect back to the rest of their application and the full range of services running in AWS.
Customers should run AWS Wavelength when they want to build an applications that require single digit millisecond latency to mobile and connected devices over the 5G network. A range of emerging applications like machine learning inference, industrial IoT, and AR/VR require ultra-low latency to serve mobile users and connected devices, ad developers can place the parts of their application that require single-digit millisecond latency at the edge of the 5G network and then connect back to the rest of the application and the full range of services in AWS.
During the launch at AWS Re:invent last year, AWS announced that it was partnering with Verizon in the US. Why launch with a telco provider?
Amazon is partnering with Verizon to incorporate AWS WaveLength technology into parts of its wireless network. Amazon is also working with other global partners, such as Vodafone, KDDI and SK Telecom to provide this capability. This capability will result in fewer disruptions and shorter lag times when streaming videos, among other applications.
Who are your partners in rolling out Outposts in Malaysia? What are the roles that they are playing in providing the service to customers?
One of the partners in Malaysia is Maxis where they will incorporate Maxis cloud offerings and professional services to incorporate hybrid cloud and technologies to address edge computing.
We also have InfoFabrica who will be working with us to help outfit interested customers with Outposts.
We operate on a few models; customers will come directly to us or work with partners with Malaysia. Marketplace model – direct from us. Reseller model – contact reseller and work with the customers on the Outposts. – NSI model – customer work through NSI.
AWS Partner Network (APN) Partners provide technology and consulting services to help customers migrate, build, and run applications using AWS services.
APN Consulting Partners around the globe can help you with strategy and technology advisory services to migrate your on-premises applications onto Outposts as well as a variety of installation and maintenance options. You can also use Outposts validated technology partner solutions to build and run your applications on Outposts.
Does Outpost require a stable internet connection to operate? Can customers use Outpost offline? What happens to workloads if internet connection is lost suddenly?
To provide a consistent user experience, AWS advises customers to have 1GB internet over direct connect or VPN. The rack only needs 10MB to run but AWS recommends a default of 1 GB to be safe.
An AWS Outpost relies on connectivity to the parent AWS Region. AWS Outposts are not designed for disconnected operations or environments with limited to no connectivity. We recommend that customers have highly available networking connections back to their AWS Region. If interested in leveraging AWS services in disconnected environments such as cruise ships or remote mining locations, learn more about AWS services such as Snowball Edge.
If connection is lost suddenly, EC2 instances and EBS volumes on the Outpost will continue to operate normally and can be accessed locally via the local gateway. Similarly, AWS service resources such as ECS worker nodes continue to run locally. However, API availability will be degraded, for instance run/start/stop/terminate APIs may not work. Instance metrics and logs will continue to be cached locally for a few hours and will be pushed to the AWS Region when connectivity returns. Disconnection beyond a few hours however may result in loss of metrics and logs. As Route53 DNS will not resolve when disconnected, an on-premises DNS resolver should be used if network disconnections are expected. If you expect to lose network connectivity, we strongly recommend regularly testing your workload to ensure it behaves properly in this state when an Outpost is disconnected.
AWS Outposts are a managed service according to your website. What does “Fully Managed” mean? What does this entail?
AWS Outposts is the only fully managed offering available to customers today. AWS delivers, installs, and maintains the infrastructure the same way as we do in our data centers. Competitive offerings do not address key customer pain points in a production grade hybrid environment. They require customers to build against a limited set of services and APIs, forcing them to write custom software that quickly becomes inconsistent and incompatible with cloud services. It requires customers to set up and manage different operating environments for each site, resulting in duplicate effort, higher complexity, and increased risk. Customers must also manually manage, upgrade, and patch software themselves, and risk dropping out of compliance if they fail to upgrade. Customers also have to purchase hardware from third party vendors, who are responsible for providing the first line of customer support, making it administratively difficult to debug and resolve their issues.
How secure is AWS Outpost? Are there built-in redundancies when it comes to preventing data loss and data security?
Each AWS Outposts rack has a built-in tamper detection and a lockable door. AWS engineered a capability in a form of security key that looks like a screw specifically made for the chip. To remove the hardware from the rack, you must use the screw and turn it and it will crush the security chip key and once its crushed, the server and the data is protected. It is also encrypted by default.
AWS Outposts builds on the AWS Nitro system technologies that enables AWS to provide enhanced security that continuously monitors, protects, and verifies your Outpost’s instance hardware and firmware. With AWS Nitro, virtualization resources are offloaded to dedicated hardware and software minimizing the attack surface. Finally, Nitro System’s security model is locked down and prohibits administrative access, eliminating the possibility of human error and tampering.
AWS Outposts have an updated shared responsibility model underlying security. AWS is responsible for protecting Outposts’ infrastructure similar to how it secures infrastructure in the cloud today. Customers are responsible for securing their applications running on Outposts as they do in the Region today. With Outposts, customers are also responsible for the physical security of their Outpost racks, and for ensuring consistent networking to the Outpost.
Securing data
Data-at-rest: Data is encrypted at rest by default on EBS volumes on Outposts.
Data-in-transit: Data is encrypted in transit between Outposts and the AWS Region.
Deleting data: All data is deleted when instances are terminated in the same way as in the AWS Region.
AWS Outposts have been out for more than half a year now. How many countries is the service available in?
Outposts can be shipped to and installed in the following countries
NA – US, Canada, Mexico
EMEA – All EU countries, Switzerland, Norway, Bahrain, United Arab Emirates (UAE), and Kingdom of Saudi Arabia (KSA), Israel, South Africa
APAC – Australia, New Zealand, Japan, South Korea, Hong Kong Special Administrative Region, Taiwan, Singapore, Indonesia, Malaysia, Thailand, India
SA – Brazil
Support for more countries is coming soon.
Have there been any particular segment of customers that have adopted Outposts more than others? Do you see an opportunity for other segments to take advantage of Outpost?
There has been broad interest in AWS Outposts from both enterprise and start up customers, across a range of industries including financial services, e-commerce, healthcare and manufacturing.
With AWS Outposts infrastructure, customers in manufacturing can AWS services to run manufacturing process control systems such as MES and SCADA systems and applications that need to run close to factory floor equipment. These on-premises applications can integrate with services running in the AWS Region for centralized operations.
Healthcare customers can apply analytics and machine learning AWS services to health management systems that need to remain on premises due to low latency processing requirements. This will enable rapid retrieval of medical information by storing data locally on Outposts.
At the launch, Andy Jassy mentioned that the launch of AWS Outposts is step in providing services for edge computing. How does Outposts do this?
One common scenario for AWS Outposts is running applications that need single-digit millisecond latency to end-users or onsite equipment. Customer may want to run graphics-intensive applications such as image analysis that need low-latency access to end-users or storage-intensive workloads that collect and process hundreds of TBs daily. Others may need to run compute-intensive workloads on their manufacturing factory floors with precision and quality. Customers want to integrate their cloud deployments with their on-premises environments and use AWS services for a consistent hybrid experience. Outposts is both a way to deploy an AWS-centric hybrid-cloud and an edge computing approach.
How do you see the landscape changing with the introduction of AWS Outposts?
With the introduction of AWS Outposts, customer from a broad array of industries can bring the benefits of cloud computing right to their business door-steps. Business solutions requiring low latency performance can seamlessly be integrated to the cloud and deployed to provide a truly hybrid experience. Customers that have large amount of on-premise data can also process these sets of data in more meaningful ways to monetize the data assets. In this AWS hybrid-cloud approach, you use the same AWS application programming interfaces (API), tools and infrastructure both on your premises and the AWS cloud. Outposts bring native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility.
With Malaysia’s big move into supporting and growing its tech space, particularly its animation and game development segment, where do you see AWS Outposts fitting in?
In the gaming industry, the applications tend to be very sensitive to latency and require considerable processing resources to provide rich animation and customer experience.
With AWS Outposts, gaming developers will have access to the latest GPU innovations on premises for graphics processing, audio and video rendering, and for running other media applications. Support live and real-time event streaming applications that require low latency by running those applications in on-premises locations close to end users.
The world is quickly changing and technology is moving forward at a pace which hasn’t been seen before. The main impetus behind the progress which we experience is the internet. The internet has changed the way we communicate and experience things. In fact, it’s made the world even smaller. However, the way we connect to it needs to continue evolving to keep up with the pace of innovations. We’re talking about low latency connectivity and processing.
Over the years, we’ve managed to push the current connectivity to the edge when it comes to connectivity. With the advent of 5G and more importantly, the Internet of Things (IoT), there is an increasing demand for greater compute power and quicker outcomes. This is where Amazon Web Services (AWS) has stepped up with their new AWS Outposts technology. While Amazon isn’t the first name you’d necessarily think of when it comes to internet technologies, the are one of the foremost companies in the world when it comes to providing cloud infrastructure.
Opening Up New Possibilities with Low Latency Hybrid Computing
AWS Outposts allows users and developers to have low latency or local data processing on premises. This enables companies to have near real time responses when using or interfacing with AWS’s many services. It also bridges the lag in communications when the service needs to rely on the cloud. This also opens up larger possibilities to automate and regulate processes in new places such as the factory floor or in production outfits that require low latency. AWS Wavelength further strengthens the low latency with single digit latencies and enables 5G connectivity.
The near instantaneous latency between data lakes and data points on premise allow companies to adapt and react to situations better. Take for instance in the case of healthcare and medicine, having AWS Outposts on site would allow real time diagnostic data to be communicated to physicians for them to be better informed when they make critical treatment decisions. It can also open avenues for real time robotics in surgery. Perhaps more relevant to us as consumers, AWS Outposts also allows more seamless setups when we look into things like streaming (Netflix and Amazon Prime Video) or event real-time cloud gaming. Even AR and VR will expand with the advent of such a powerful architecture. Effectively, the availability of these hybrid cloud solutions will effectively open new doors in every industry.
Seamless Integration with the Cloud
AWS Outposts doesn’t necessarily work alone. In fact, the service will allow companies to quicken their eventual move to the cloud. AWS believes that even with the hybrid computing approach now, “in the fullness of time, the vast majority of companies will run almost all of their IT workloads in the cloud“. With that in mind, they’ve designed AWS Outposts to work seamlessly with their existing cloud services. Companies are able to adapt and experiment with workloads on the cloud and over Outposts for the best outcomes. What’s more, the AWS Outpost rack can be customised to meet the unique needs of the customer – this includes the recently announced AMD EPYC powered instances.
Even when it comes to the user interface, AWS Outposts share the same interface with AWS cloud services. Users won’t need to relearn a new interface to take advantage of AWS Outposts. In fact, they can use the exact same interface for both on-premises and cloud. This also applies to services that are running atop AWS such as VMWare’s on premise solutions. The only difference would be that they will still be able to access their on-premises AWS Outposts server even when internet connectivity goes down. This also serves as a redundancy that will keep local workloads running. Once internet is available again, the servers will seamlessly synchronise with the cloud where necessary. Prolonged outage, though, may cause some data loss.
That said, Outposts doesn’t require the fastest internet to be able to function. In fact, AWS states that the minimum required is a 10Mbps connection. However, they advise to have 1Gbps for better performance.
Innovating Securely & With Peace of Mind
Bringing AWS Outposts to your premises can be daunting when you think of it; you’ll be having a server rack in house. So what happens if something goes awry? Well, first off, you can bring down your blood pressure a little bit as AWS Outposts is a fully managed service which means that AWS will come and service the hardware on a regular basis just like they would any of their own data centers. It also means that if anything goes awry – you can simply call AWS and they’ll get it sorted for you.
Servicing and maintenance aside, with the Outposts possibly handling a large amount of sensitive data, it wouldn’t be surprising to worry about data security. AWS reassures us that the AWS Outposts is safe. In fact, their approach to security starts with the rack which comes equipped with built-in tamper detection and a lockable door. The door is outfitted with a special key that, when tampered with, automatically encrypts the data within the server; making life a miserable mess for anyone who tries to take it.
On top of that, AWS Outposts builds on AWS Nitro – a security system for AWS which continually monitors, protects and verifies the hardware and firmware of the setup. It also secures and locks down instances running on the Outpost to ensure that human error is reduced. However, AWS does stress that the security of AWS Outposts as a whole is a shared effort where it can only secure the hardware and instances being run; but when it comes to the applications and software being developed on the platform, it needs to be secured by the developers.
That said, AWS Outposts is an impetus that could lead to further developments that will spur more advancement. It brings the power of the AWS cloud on-premise for corporations needing low latency connectivity to their compute and also bridges the transition for companies which are still struggling to adopt the cloud fully.
This article was written based on an interview with Paul Chen, Head of Solutions Architect for ASEAN at Amazon Web Services (AWS).
AWS (Amazon Web Services) isn’t slowing down for anything! The company is making quick work of expanding the availability of their Outposts technology. The latest countries to join the fold is Thailand and India with the rollout coming near simultaneously with Malaysia’s.
The new AWS Outposts feature will bring the power of AWS into the on-premises arena in Thailand and India. This will give businesses the flexibility of adopting cloud infrastructure without sacrificing valuable time migrating their on-premises data to a new cloud server. Instead, they will be able to bring the power and flexibility of the AWS cloud to their on-premise data.
The highly flexible and adaptable system allows businesses to deploy all of AWS’s technologies including their EC2 (Elastic Compute Cloud), EKS (Elastic Kubernetes Services), RDS (Relational Database Service) and more to help deploy and make sense of the large amounts of data they may have stored on-premises. They will also be able to keep sensitive data off the cloud while getting the benefit of being able to utilise them in computational and machine learning models. In addition, the close proximity of AWS’s many technologies and services also means that businesses stand to benefit from lower latency when it comes to deploying these assets.
The AWS Outposts on-premises hardware is a fully managed service. Businesses will not need to worry about downtime or learning a new interface. In fact, AWS Outposts shares the same interface as its online counterpart. This also removes the lag time required for staff to learn new platforms and interfaces.
Paradigms are shifting when it comes to how companies are managing their data. It shifted from having their own, on-premise servers to having cloud based infrastructure to support their data storage and compute needs. Now, the paradigm is shifting to a complementary approach which focuses on what the industry is calling – the hybrid cloud. Amazon Web Services (AWS) addressed the growing demand for a hybrid solution for their customers with their announcement of AWS Outposts at their annual Re:Invent conference last year.
The new AWS Outposts offering brings the power and flexibility of AWS’s cloud platform on premises for businesses that require it. The service provides customers with an customizable server stack that is able to provide any of AWS’s numerous modules. These workloads can then function exactly like their cloud counterparts but at a drastically reduced latency; allowing for local processing for workloads that require low latency. The new service also allows users to store and access their data locally. This negates the need for businesses to sacrifice large chunks of time uploading their data to cloud servers and data lakes. It also helps businesses that handle sensitive data maintain their integrity while bringing them into the future.
AWS Outposts are a fully managed service allowing companies to rest at ease when it comes to maintenance and troubleshooting. In fact, AWS Outposts are designed to give the exact same user experience as AWS’s regular services. Users won’t need to learn a totally new interface or jump between the interfaces when it comes to handling these hybrid workloads. Outposts are also able to interact with AWS Cloud seamlessly.
AWS Outposts have now made it’s way to Malaysia. The infrastructure is ready for Malaysia’s homegrown businesses to take advantage of. The introduction of AWS Outposts in Malaysia allows businesses to process compute workloads on premises. In fact, two major companies have already adopted the technology in their everyday business.
Starting on the 25th of June 2020, AWS customers in Malaysia are able to bring AWS’s compute, storage and graphics optimised instances on premises. This includes the recently announced AMD powered instance in addition to AWS’s Elastic Compute Cloud (EC2), Elastic Kubernetes Services (EKS), Relational Database Service (RDS) and more.
