Principales tendencias de migración y adopción de la nube para 2022

Top Cloud Migration and Adoption Trends in 2022

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Investing in IT has proven essential for businesses to move forward, especially considering the pandemic in the past two years. Thanks to these investments, millions of people could continue working from home and thus maintain the economy afloat. Cloud migration is a process that takes years, but it accelerated due to the pandemic. Even companies that looked into ways to migrate applications and workloads to the cloud have fast-tracked those plans to remain relevant. Security has been the main driver in cloud adoption and the reduced demand for local hardware.

Let us learn about the main cloud migration trends coming in 2022. Take note!

Cloud Migration Will Be an Ongoing Trend for Years to Come

 As organizations keep shifting gears to adapt to strategic plans and respond to macroeconomic factors, cloud adoption brings excellent benefits, including maintenance savings through reduced hardware requirements.

Below are the trends expected to drive cloud migration in 2022.

  • Cloud Services (SaaS):

Software as a Service (SaaS) is a cloud-based software delivery model in which the cloud provider develops and maintains the cloud application software. The pandemic brought significant growth in these services due to their improved flexibility, security, and upgradability.

  • Modernization:

Once companies migrated to the cloud, they realized that they had to upgrade their critical applications to get the most out of the cloud. According to Gartner, “more than 95% of new digital workloads will be deployed on cloud-native platforms by 2025, up from 30% in 2021.”

  • Improved Analytics:

Cloud services support tools to integrate data into new analytics and apply business intelligence (BI) to keep pace with change. These improved analytics use real-time information for up-to-date reporting and better decision-making.

  • User Experience:

Cloud migration makes it easy to quickly prototype and test different UX ideas to determine which one is more user-friendly. Also, in many cases, logging into the applications does not require a VPN connection, making life easier for both users and IT teams.

At NGIN Services, we offer cloud solutions that help you streamline and secure your processes and keep ahead of future changes. We can help you design cloud-based solutions for enhanced flexibility, not just for you but also for your customers and end-users.  Contact us and learn more about our solutions.

Tendencias 2022 en la industria tecnológica para las empresas

2022 trends for the technology industry for companies

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Even though 2022 is already in, there are several projections for the technology industry worth learning about and reviewing in cybersecurity, cloud adoption, digital transformation automation, artificial intelligence, telecommunications, and connectivity.

After a rather complex 2021 due to the pandemic, today seems more prolific regarding the technology industry for companies.

Now, we will review some trends for this year.

The technology industry and cybersecurity

Hybrid work (combining time at the office and home) is a reality that will encompass more and more spaces out of a need in many cases. And even though lessons have been learned from the early times of the pandemic, the truth is that this model still raises doubts. Above all, in aspects such as cybersecurity.

With the expansion of the surface for attacks, there is a greater risk for security. For instance, those who work remotely don’t do it only at home. Some do it at public plazas or restaurants and sign into public networks. However, if such access occurs with poorly configured equipment and weak passwords, it may become a perfect target for a cyberattack.

To deal with the sensitive subject of cybersecurity in the technology industry, organizations must choose solutions such as migrating to a zero-trust management model. This solution is a model based on the «trust and verify» prerequisite. This means that organizations do not trust any internal or external entity that enters their perimeter by default.

Some tools and techniques necessary for zero trust are access control with fewer privileges and asset management, which are already widely used. There are also two essential layers: automation and orchestration and visibility and analysis.

Additionally, we may find blockchain and automatic learning of cybersecurity as key technologies to cope with the variety of existing threats and those that may arise in the future.

Cloud adoption

Many companies in the technology industry choose cloud adoption as a business strategy with new digital demands in mind.

Aside from cloud migration instead of existing systems, there is also an increase in cloud-native technologies, such as containers Kubernetes and the absence of servers. These technologies help organizations build, see, and modernize applications to make them more scalable and secure.

By 2022, professional services associated with migration, architecture, and implementation of solutions, as well as security management, and disaster recovery planning, are expected to become critical to support companies’ migration to the cloud, especially in critical areas such as security, data governance, and cost control.

Digital transformation

Data prioritization will lead the technology industry; to do so, knowing how to manage it will be essential in 2022. Data processing to achieve information, speed, and a method to reach conclusions and achieve loyalty proposals will become the differentiating aspect in this regard.

Thus, big data, AI, data management, cloud computing, and IoT will have a more significant impact and level of adoption across organizations. They will allow greater dynamism, accuracy, and evolution to manage data volumes necessary for proper knowledge and need-based client decision-making.

Automation

Without question, the pandemic accelerated the digital transformation of companies. It can be observed in applying technologies across the company when it comes to automation. In specific projects, strategy design processes go through operation until reaching the end-user.

In this regard, conversational AI, chatbots, and conversational chatbots will grow significantly.

Regarding automation and AI, quantum computing will also be a trend. This will help find the optimum solution in areas such as logistics and programming. Furthermore, it will accelerate areas such as feature mapping, linear equation solutions, grouping, and regression. Likewise, it significantly improves the simulation capacities of companies.

At NGIN Services, we are savvy on state-of-the-art trends for the technology industry to apply them to your organization. Contact us  today and start migrating your company to the future.

Principales factores a considerar con un proveedor de ciberseguridad

Main factors to consider with a cybersecurity provider

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Business cybersecurity is an issue that needs to be approached formally in the company of experts.  Today, all companies are exposed to an attack with significant implications. To get an idea of the negative impact this can have, think about the Garmin case in 2020. Organizations need to invest in security systems that ensure the integrity of their information and safeguard the stability of all their equipment.

Below, we will tell you about DDoS attacks and how best to prevent them.

What are DDoS attacks, and how to prevent them?

 Let’s start by mentioning what a DDoS attacks means and how it affects cybersecurity. The acronym DDoS stands for Distributed Denial of Service. In other words, a DDoS attacks occurs when a group of people or automatisms attack a server using many devices simultaneously. This mass data flow renders server resources insufficient and makes the server collapse and stop working. Therefore, if the device or server is running a web page when it collapses, the web page goes down with the server.

Attacks can often be made using botnets, networks of sequestered or infected devices that behave like swarms attacking all at once. The consequences of such attacks will depend on how widespread these networks are.  However, they are becoming increasingly prominent and are beginning to go beyond conventional computers to affect cellphones and IoT.

This kind of DDoS attacks is intended against businesses more than end-users. The result, however, is the same because users are affected when they request a service that goes unanswered, which makes cybersecurity vulnerable.

Robust cybersecurity is essential to avoid DDoS attacks.

All companies need to have robust IT equipment to establish an effective cybersecurity plan to prevent DDoS attacks from controlling essential company data. The following are a few things good cybersecurity needs to consider.

  • Engage an expert company with demonstrable experience in mitigating DDoS attacks

 There are many non-specialized solutions with elementary levels of protection. Cybersecurity is a highly delicate matter, so it is vitally important to select a highly specialized company in that field.

  • Develop a multiple cloud security strategy

Designing a multiple cloud security strategy begins with identifying all the clouds used by the company to ensure a solid data governance program to guide security decisions and deployment of proper tools in the right places.

  • Be sure to maintain essential security aspects up to date and in good working order:

 Make sure basic security systems are at peak performance and that security policies are being enforced correctly.

  • Together with your supplier, develop a regulatory framework:

 Cybersecurity  response should adapt to the kind of data it protects and the circumstances contemplated in the regulatory framework that make it possible to know and understand how to react appropriately.

  • Analyze potential threats:

 To minimize attacks, we must constantly be updated. We need to recognize the signs of an attack and tactics, procedures, and techniques using predetermined indicators as reference.

As you can see, the first thing to do to prevent these attacks is to be prepared and always have a cybersecurity contingency plan. NGIN Services has specialized advisory services that will allow you to protect your company information and, more importantly, your users’ data. Contact us, and we’ll help answer all your questions.

Inteligencia artificial para redes: ¿Qué es y por qué son tecnologías clave?

Artificial intelligence for networking: What is it, and why are they essential technologies?

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We may define Artificial Intelligence (AI) as software that performs tasks like a human expert in a related topic. That is why we use the word “artificial.” In IT, artificial intelligence for networking reduces complexity for the growth of such networks.

Administering IT infrastructure becomes more complex with the growing number of connected devices, data, and people. Additionally, most budgets for IT are either fixed or short. Thus, organizations call for a better way to assist this complexity, and to do so; they seek the aid of artificial intelligence for networking.

Essential AI technologies

Machine Learning (ML) is essential for a successful artificial intelligence for networking; it uses algorithms for data analysis, to learn from them, and to make predictions without the need for explicit instructions.

ML has evolved to more complex structured models thanks to improvements in processing and storage capacities. Thus, for example, Deep Learning (DL)uses neural networks to achieve greater valuable information and automation levels.

Another trend that has driven artificial intelligence development for networking is Natural Language Processing (NLP). NLP uses word-based voice recognition. This way makes communication between the human and the machine components easier through hints and natural language queries.

How to create artificial intelligence for networking?

IT teams need the right artificial intelligence for networking strategy to meet current network requirements. The following are some technology components necessary for a strategy.

  • Data:

Artificial intelligence for networking develops its intelligence through data gathering and analysis. As the amount of data gathered increases, the solution provided by AI becomes more intelligent. For real-time applications which call for highly distributed peripheral devices (such as IoT or mobile), gathering data from each device becomes necessary. This way, data are processed locally or close to a peripheral computer or cloud using AI algorithms.

  • Specific knowledge of the domain:

Artificial intelligence for networking calls for labeled data based on knowledge specific to each domain. They allow AI to break down the problem into smaller segments which may be used to train AI models.

  • Data science toolkit:

Once the problem has been broken down into smaller metadata segments specific for each domain, they are ready to enter the ML and Big Data world. ML techniques are necessary to analyze data and offer actionable information.

  • Virtual network assistant:

Collaborative filtering is an ML technique that may be applied to sort large data sets. Likewise, those which make up an artificial intelligence for networking solutions are identified and related to a particular problem.

The virtual network assistant can operate in a wireless environment as a virtual network expert that helps solve complex problems.  This is, it allows for automated improvements.

At NGIN Services, we offer solutions for your business, keeping development in mind and using artificial intelligence for networking. Contact us! Wait for part two of this topic and learn about the practical benefits of artificial intelligence for networking.