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Top Tech trends for 2023: What can companies expect in 2023 and position themselves better?

The year 2022 was marked by supply chain disruptions, inflation, debt, labor market gaps, geopolitical uncertainties, fears of recession and increasing ransomware attacks. These developments continue to pose a critical threat to the companies. But it is also important to look into the future at the end of the year to be better prepared for the challenges and opportunities to come & heal covid19 scars.

 

Cloud budgets are being analysed more closely

According to a recent report by Veritas, misunderstanding about cloud security, scalability and storage has led most enterprises spending much more than anticipated. 93% of companies overspend on the cloud, exceeding budgets by an average of 43%. As the amount of data increases every year, the cost of storing it in the cloud also increases. For IT teams, this is becoming increasingly difficult to justify. Exceeding budget is mainly due to the misunderstanding nearly all organizations had that CSPs are responsible for protecting their assets in the clous. Although cloud adoption has enabled most companies to implement advanced business strategies, future CEOs and boards of directors will demand more transparency into the return on investment (ROI) of cloud spending. IT managers are under great pressure to justify their cloud budgets while finding new solutions to reduce data volume as Veritas expect IT spending to be reviewed even more closely in 2023.

The vast majority of enterprises fail to stay within their cloud budgets

Low-code and no-code make compliance difficult

As the demand for hyper-automation and IT modernization is growing at an exponential rate, low-code and no-code applications are contributing significantly to the democratization of application development in companies. In 2023 they will become even more established. The global low-code platform market is forecasted to generate a revenue of $187.0 billion by 2030, increasing from $10.3 billion in 2019, and is expected to reach 31.1% CAGR in the forecast period (2020-2030).

Employees without a technical background (citizen developers) can develop their own applications. Almost 60% of the custom apps are now built outside the IT department. Of those, 30% are built by employees with limited or no technical skills, creating huge compliance issues for businesses. Because citizen developers are less experienced in implementing security and privacy systems. Creating new vulnerabilities that can be exploited by cyber criminals.

 

Edge device vulnerability

Gartner analysts predict that by 2025, around 70% of of the data managed by organizations will be created and processed outside of the data center or cloud vs 10% now. Adoption of edge devices are considered as the solutions that facilitate data processing & generation. But this increasing shift of data processing to the edge complicates the IT architecture and increases the attack surface. Because of the lack of IT specialists, it is often not possible to provide the same level of protection at the network edge as in the data center or the cloud. Nevertheless, to fully protect the enterprise, every single edge device must be secured.

 

IOT & hyper-connectivity

We live in a hyperconnected world where worldwide companies are under huge pressure of shearing and integrating data in a smart way. It’s predicted that there will be more than 43 billion connected devices by 2023 with the goal of generating, collecting, shearing and helping companies to make use to data in the smartest way possible. 5G technologies are also boosting the full potential of IoT & hyper-connectivity. It’s true that IoT devices make our lives easier and more convenient but also comes with huge security issues if not well protected.

As the number of devices explodes during 2023 and beyond, device manufacturers and security experts will have to strengthen their strategies to fight against cyberattacks and minimize the chances of losing valuable data.

Cloud Computing: Trends for 2022 and beyond

 

Cloud Computing Trends for 2022

Although cloud computing isn’t a new concept and the benefits of the cloud are well known for a long time, cost optimization, security, data protection, and automation remain top concerns for some organizations. However, during 2020 and 2021, cloud computing exploded with the COVID-19 pandemic as more and more organizations moved most of their applications to the cloud. This decision has been motivated by the urgent need for flexibility within a very short time in order to be able to react to changed framework conditions. We will also witness the growth of rapid adoption in 2022. According to predictions from Gartner, global spending on cloud services is expected to reach over $482 billion in 2022, up from $313 billion in 2020. This shows how cloud technologies are one of the most important pillars of modern IT infrastructure today and will continue to gain importance in the future.

 

For very different reasons, companies decide to migrate their digital business processes to the cloud. According to the Flexera 2021 State of the Cloud Report, performance and scalability are among the main reasons, alongside easier data access and management and lower overall costs. Accordingly, 61% of businesses migrated their workloads to the cloud in 2020, from which 92 percent of enterprises have a multi-cloud strategy; 80 percent have a hybrid cloud strategy. But regardless of where they are at in their journey  towards the cloud, organizations should keep an eye on the following trends:

 

The public cloud is gaining in importance within hybrid scenarios

Moving to the cloud is complicated and deciding which cloud type is the right one for an organization depends on multiple factors, such as the requirements for computing, storage, and services. Each cloud model has its own advantages and disadvantages that companies have to weigh up. Hybrid cloud scenarios (i.e. an environment made up of on-premises and a cloud) have established themselves as the de-facto standard for cloud deployment – according to the Flexera study, public cloud adoption continues to accelerate as 36 percent of those surveyed already spend more than $12 million per year on public clouds and 55 percent of enterprise workloads are expected to be in a public cloud within twelve months. The reasons given for this were data protection-relevant applications and business-critical processes.

 

Real-time analytics and IoT are on the rise

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Companies make use of a number of cloud services to solve the different business requirements. Analytics and infrastructure services still comes first, followed by data for machine learning (ML) and artificial intelligence (AI). The Global Connected Device Analytics Market is estimated to be USD 14.9 Bn by the end of 2021 and is expected to reach USD 40.7 Bn by 2026, growing at a CAGR of 22.3%. This huge need for connected devices in the different industries has been motivated due to remote monitoring of employees working from home during the Covid-19 crisis. Additionally, IoT analytics is becoming a core investment strategy for various organizations to leverage analytics as a core competency to deliver better outcomes and to drive differentiation for their product and service offerings. The more intensively and consistently companies use the cloud, the more benefits they can derive from it. This trend will continue in the next year and more advanced use cases such as ML / AI analyses, IoT, but also stream processing will continue to increase.

 

Companies are increasingly lacking cloud skills

As businesses rapidly transition their processes and data over to the cloud, the demand for digital experts is increasing but the skill gap in this area can make it an unrealistic goal for some companies. There is a huge skills gap in cloud computing, both within organizations’ current workforce and in the hiring pool and the situation will worsen in the near future. Organizations are facing the issue of finding skilled IT professionals to cover core missions with critical skill sets to be able to support their business objectives. They need specialist knowledge in handling and managing huge amounts of data in the cloud, as well as building a holistic data architecture. Reports show that missing or limited cloud skills is the greatest challenge in connection with cloud migration for almost a quarter of companies (24%). As more and more organizations are pushing their digital transformation, the need for data and cloud architects or cloud DevOps engineers and cloud system administrators is increasing, but it is becoming increasingly difficult to meet them. Its foreseeable companies will concentrate even more on training their existing employees in order to acquire the required cloud skills, while at the same time relying more on user-friendly self-service solutions in the coming years.

 

As said previously, the global spending on cloud services is expected to reach over $482 billion in 2022, up from $313 billion in 2020 – the next coming years will therefore primarily be about getting the maximum benefit from cloud integration. For this purpose, companies should, on the one hand, particularly tackle the development of the required skills and, on the other hand, consider specifically which IT & business requirements they can solve with the help of the cloud. This enables them to take their cloud usage and business to the next level.

 

Sources:

Top Strategic Technology Trends for 2022: Cloud-Native Platforms

Cloud Shift Impacts All IT Markets

Flexera Releases 2021 State of the Cloud Report

COVID-19: Companies Journey toward Digital Expansion to become Faster, more Productive and more Responsive

Digital transformation progress

 

Our everyday life and way of doing things are completely changed since COVID19 started. It has accelerated the global digital transformation, according to the most recent F5 State of Application Strategy survey (SOAS). The seventh annual edition of this study is based on a survey of 1,500 participants from various industries, company sizes, and positions.

 

The need to adopt digital services across industries, geographies and communities is accelerated due to the dramatic shift in remote work and social distancing so that companies can improve their connectivity to interact with customers.

Business leaders have recognized digital technology as a key driver of revenue and raced towards digital transformation within their company. Here, below, are the key findings of the F5 survey:

 

  • AI-assisted business has tripled.
  • Applications continue to be modernized rapidly, with APIs a method of choice.
  • The importance of SaaS-delivered security is rising as organizations work to unify security across distributed applications while managing more architectures than ever.
  • Architectural complexity makes multi-cloud availability an imperative, and edge deployments are increasing, too.
  • Telemetry will take us to the future—but now, nearly everyone is missing the insights they need.

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Future-ready organizations are working to improve connectivity, reduce latency times, guarantee security and use data-driven insights. There is increasing interest in public cloud and SaaS, edge computing, and seeking application security and delivery technologies that are easy to deploy and provide data for decisions.

Modernization remains the top priority when it comes to operating on both modern and traditional application architectures for more than 87% of organizations that’s 11 percent more than in 2020. Additionally, almost half of all companies – 30 % more than last year – manage at least five different architectures.

 

Since last year’s SOAS report, the growth of AI and machine learning has more than tripled to 56%. This means that more and more companies are in the late phase of digital transformation. 57 % of those surveyed have begun digital expansion, an increase of 37 % compared to the previous year. This shows an increased focus on business process automation, orchestration, and digital workflows to integrate applications. 77% are already modernizing internal or customer-oriented apps, which is 133% more than in the previous year.

 

Additionally, two-thirds of respondents use at least two methods to create modern workloads, a mixture of traditional and modern application components. Of the companies with only one method, 44% say they use modern interfaces, either via APIs or components such as containers. More than half of the respondents already use infrastructure as code. Organizations using this approach are twice as likely to deploy applications even when using automation. They are also four times more likely to use fully automated application pipelines.

 

Companies are realizing the potential of edge computing. It enables new services and better performance by placing applications as close as possible to the sources and users of data, situation may vary for each industry and business function. Of course, COVID-19 is an accelerator due to the distribution of labor. No less than 76 % of those surveyed are using or planning edge implementations. The top reasons are to improve application deployment, performance and data available for analysis. In addition, 39% believe that edge computing will be strategically important in the years to come. 15% already host technology for app security and delivery at the edge. More than a third of companies (42%) will support a fully remote workforce for the foreseeable future. Only 15% plan to bring all employees back to the office.

 

Companies are creating and collecting more data than they have at any point in the past. All this data is coming from different sources. However, according to surveys, sufficient data does not necessarily deliver the insights companies really need. More than half of the respondents already have tools that assess the current state of applications. But an alarming 95 % say that they are missing important findings from the existing monitoring and analysis solutions. Accordingly, the collected data is primarily used for troubleshooting, followed by the early detection of performance problems. Almost two-thirds of respondents (62%) measure performance in terms of response times. Less than a quarter of companies use them to uncover degradation in performance. And only 12 percent forward the data to business areas.

 

More than 80% of respondents believe that data and telemetry are “very important” to their security, and over half are excited about the positive effects of AI. Participants also named platforms that combine big data and machine learning (also known as AIOps) as the second most important strategic trend in the next two to five years.

 

In many ways, the coronavirus pandemic has challenged businesses and governments around the world. In order to rise to the challenges caused by the pandemic, businesses have modernized and distributed applications in short term. Digital technologies have allowed many organizations to avoid a complete standstill, due to unexpected and urgent shifts in work. Companies must continue to discover and implement AI and other digital technologies for the continuity of their business.

 

The full report can be downloaded here: The State of Application Strategy in 2021

What is Edge Computing and why does it matter for the Internet of Things

 

What is Edge Computing and why does it matter for the Internet of Things

Possibilities are that you have already heard the term “edge computing” as many organizations use it in their daily business when it comes to handle, process and deliver data from millions of devices around the world. Multiple definitions of edge computing can be found on the internet, but I like the one from Gartner.

 

Gartner defines edge computing as “a part of a distributed computing topology in which information processing is located close to the edge – where things and people produce or consume that information.” “The emerging category of edge computing has been steadily rising in importance and maturity, and 2020 will be the most interesting year yet for vendors and users in this exciting space,” Forrester  said on Forbes.

 

The IoT is having a significant role in the digital transformation of organizations and industries. The explosive growth of IOT, mobile computing along with new applications that require real-time computing power, either to receive information from the cloud or deliver the data back to the cloud are the main reason of edge-computing systems’s growth.

The amount of data generated by digital devices is escalating day by day as 127 new IoT devices are connected to the web every second. The installed base of active Internet of Things connected devices is forecast to reach 21.5 billion units by 2025. IoT applications important growth place challenging demands on the IT infrastructure. It requires the lowest latency with the highest scalability, reliability and availability. This explains the fact that edge computing has become a special and increasingly important discipline within a network infrastructure.

 

One of the biggest benefits of edge computing is the ability to process and store data faster, enabling for more efficient real-time applications that are critical to companies. As the distributed, open IT architecture of Edge Computing processes a lot of data in real time directly on site and thus drastically reduces the bandwidth requirements and the latency times that inevitably arise during data transmission and data processing in a data center. And regardless of whether an in-house or a cloud data center is used.

 

At the same time, the high and constantly growing data volume and the increase in critical applications at the endpoints (edge) mean that the quality features typical of a data center such as scalability, reliability and high availability are also indispensable for edge infrastructures. Therefore, edge computing and the IOT are the perfect match for several reasons.

Apart from simplifying the data processing at the edge of a network, close to the sensors, and thus avoids the issues of sending all the data directly to the cloud, edge computing in the IoT environment is characterized by these four advantages compared to cloud and data center-centered approaches:

 

Speed

The longer it takes for data to be processed, the less relevant it becomes. Not only, edge computing reduces the total volume of data traffic and thus increases the performance of applications and services, but also makes latency-sensitive applications possible, for example autonomous driving, which would not be possible with data center-based data processing or in areas with insufficient network coverage.

 

Security

The number of IoT devices is constantly growing. This makes them increasingly targets for potential network attacks. Due to the centralized structure, cloud computing is vulnerable to DDoS attacks and failures. Edge computing, on the other hand, distributes applications and processes across different devices, making it much more difficult and complex for attackers to infiltrate the network. Edge computing can also filter sensitive information and, if necessary, only transmit uncritical data in order to meet security and compliance requirements. This means that less data can be intercepted, which makes compliance with security standards easier.

 

Cost

By its nature, the edge is closer to the IoT device than the core or cloud. For IoT use cases, connecting thousands or even millions of devices directly to the cloud is often not feasible due to costs, privacy, and network issues. But, with edge computing, the data can be filtered at the point of origin and does not have to be sent to a data center. Companies therefore have the choice of using the perfect mix of local services and cloud-based applications for a cost-effective IoT solution. Data processing and storage in edge devices reduces the expensive bandwidth requirements and thus optimizes the overall costs.

 

Scalability

Edge computing enables companies to expand their capacity requirements at any time and efficiently by combining IoT devices and edge data centers. The use of edge devices optimizes the scaling costs because processing is decentralised and each additional device is associated with a far lower bandwidth with less load placed on the network.

 

Source :

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IT Trend 2020: Future of Cloud Computing and Experts Predictions

 

2010 defined Cloud computing’s past, present, and future when technology giants Microsoft, Google and Amazon Web Services launched their cloud platforms. It went from “what is cloud” to “where and when can we use it for cost-cutting options” to “why not cloud”? And there’s no doubt that even in 2020, it’ll be one of the key innovations that will be the subjects of countless business and technology discussions.

 

Evan Kaplan, CEO, InfluxData

Cloud Is the Future Business Model for Open Source Companies

“The coming year will show that cloud-based applications are the winning monetization strategy for open-source software companies. While the first generation of companies that developed open-source software tried to use a paid customer support and training model, the last couple of years have shown that to be unsustainable. In 2020, pay-per-use, cloud-based services will take hold as the leading business model for open-source companies. As enterprises increasingly focus on agility and time-to-value, cloud-based services can deliver speed and scalability for customers that are willing to pay and by extension they offer a source of revenue for software companies that want to develop and monetize open-source technology.”

 

Here below is a list of trends that will (re)shape the cloud in 2020 along with the experts predictions for cloud 2020 and beyond:

 

 

  • Public cloud adoption: The buzz around cloud gives impression that everyone has adopted the cloud. This is almost true if we refer to consumer tools, such as email or online file storage, but it is much less so for businesses. In reality, 94% of enterprises are already using a cloud service and according to Gartner’s forecast, the public cloud service market is expected to reach $623.3 billion by 2023 worldwide with 83% of enterprise having their workloads in the cloud by 2020. Means cloud was already a huge deal in 2019 and it’s only going to grow in numbers!

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Vadim Vladimirskiy, CEO, Nerdio

Public Cloud Adoption Will Rise Thanks to Managed Service Providers

“Public cloud adoption will continue to rise as a result of MSPs seeking a more secure IT environment, as it’s currently a top concern causing them to rethink the continued feasibility of their practice and offerings. Public cloud is a huge comfort here because if MSPs store their data and apps with someone like Microsoft – they get the work and knowledge of thousands of people who are dedicated solely to security.

 

  • Multi- cloud adoption: In order to offload the burdens of compliance, more and more companies are looking for solutions that serve the needs of their specific industry. Therefore, public and private clouds and data centers are brought together in a multi-cloud approach to offer an unprecedented level of service and efficiency. According to Gartner, more than $1.3 trillion in IT spending will be directly or indirectly affected by the shift to cloud by 2022.

 

Karthik Ranganathan, Founder and CTO, Yugabyte

Multicloud Deployments Will Accelerate

“Multi-cloud deployments are becoming the norm in today’s enterprise. In 2020, this trend will continue to accelerate. A multi-cloud approach is critically important for organizations that run on-premise, since they need to stay in a hybrid mode when moving microservices to the cloud. As a result, we expect to see enterprises widely embrace distributed SQL databases to ensure agility without the availability constraints of traditional monolithic databases, like Oracle.”

 

David Linthicum, Chief Cloud Strategy Officer, Deloitte Consulting

Public Cloud Providers Will Need to Adopt to Multicloud

“In 2020, I also believe we’ll see public cloud providers finally accept that they will most often be deployed as part of a multi-cloud architecture. Thus, we’ll see native public cloud tools that will be focused on managing, securing, and governing several cloud brands, all from a single cloud brand. At the end of the day, this can provide public cloud providers with a key advantage that they are able to exploit to grow the use of public cloud in general. Who will be first?”

 

 

  • Hybrid- cloud adoption: In order to extract maximum benefits from using both a private cloud and public clouds, many organizations are adopting hybrid clouds. As it’s linked to the public cloud, and allows organizations to switch back and forth between their own tools, and the tools offered by various cloud providers, improves speed and flexibility. A survey from IDC has demonstrated a growth of 7% in 2019 – 58% in 2019 up from 51% 2018, of organization using a hybrid strategy. The hybrid strategy will continue to grow in 2020.

 

Haoyuan Li, Founder and CTO, Alluxi

The Rise of the Hybrid Cloud

“We’ve been hearing people talk about the hybrid cloud for the past three years now. And for the most part, that’s all it’s been – talk. 2020 is the year it gets real. But first, what does hybrid cloud actually mean? Red Hat defines hybrid cloud as “a combination of two or more cloud environments—public or private.” We are seeing large enterprises refusing to add capacity on-prem to their Hadoop deployments and instead invest in the public cloud. But they are still not willing to move their core enterprise data to the cloud. Data will stay on-prem and compute will be burst to the cloud, particularly for peak demands and unpredictable workloads. Technologies that provide optimal approaches to achieve this will drive the rise of the hybrid cloud.

 

Wally MacDermid, Vice President of Cloud, Scality

Hybrid Cloud Will Become the Dominant Architecture for Enterprises

“Microsoft Azure (Azure Arc, Azure Stack Hub, Azure Stack Edge), Amazon Web Services (AWS Outpost, VMware on AWS) , and Google (Anthos, Google Kubernetes Engine) are all investing heavily not only in solutions that connect on-premises infrastructure to their own public clouds, but also in cross-cloud interoperability and management. This blurring of lines between vendors and technologies is an excellent development for enterprises who are looking not to be locked into a single vendor, but for the best technology to solve specific business problems.”

 

  • Edge Computing adoption: The cloud is designed in large centralized data centers, and companies that need almost instant access to IT resources and data are turning to a new distributed cloud infrastructure called edge computing. Edge computing is a “mesh network of micro data centres that process or store critical records locally and push all received records to a central data centre or cloud storage repository, in a footprint of less than 100 square feet,” according to research firm IDC. Technically, it’s winning its game around data processing by refocusing the flows on the most important data in order to reduce the latency to approach real time. It is also the infrastructure of choice for another revolution, the IoT, as with the advancement in IoT, artificial intelligence, a new concept is coming in the market i.e., smart city initiatives that support the implementation of edge computing. Previously valued at USD 1,704.75 million, The edge computing market is expected to reach USD 9,325.33 million by 2025, registering a CAGR of 34. %, during the forecast period of 2020-2025.

 

Aron Brand, CTO, CTERA

Edge Computing Will Go Mainstream

“2020 will mark a notable shift in enterprise IT as the dawn of a new era of edge computing arises. The first-generation model of centralized cloud computing and storage has now run its course, and most of the new opportunities for enterprise data management reside at the edge. […] Such data growth outside the datacenter is the new reality, and it’s creating a need for enterprises to deploy computing power and storage capabilities at the network edge, aka edge computing. Enterprises are already investing in edge computing to move faster, to have data continuously available, and to improve data security. As edge computing goes mainstream in enterprise IT in 2020, edge-to-cloud architectures that manage data centrally while making it instantly available to users at the edge will be a key enabler for business success.”

 

 

 

 

Sources:

 

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