Software Architecture and Design InfoQ Trends Report - April 2021

  • In a cloud-native world, architects are reprioritizing the -ilities they consider most important. Innovative architects are designing for resilience, observability, portability, and sustainability.
  • Dapr and the Open Application Model are two ways to make building distributed systems easier, and it will be interesting to watch how they are adopted in the future.
  • The pendulum seems to be coming to rest, after swinging to extremes between monoliths and microservices. As a result, architects are relying on well-established patterns and designs that focus on high cohesion and low coupling, regardless of the underlying technology.
  • In fully-remote work environments, architects are finding new ways to communicate with their teams, and finding replacements for the water cooler chats which were useful for gathering knowledge.
  • The next generation of GraphQL features, notably GraphQL Federation and GraphQL Microservices, are showing where to go next after companies have strong adoption of GraphQL.

Each year, the InfoQ editors discuss the current state of software architecture and design, and identify the key trends to watch, resulting in this report and the accompanying graph. This year, we’re letting you listen in to the discussion, on  an episode of the InfoQ podcast. The editors were joined by Holly Cummins, an innovation leader on IBM’s corporate strategy team, and a previous speaker at QCon.

Designing for ___

We start by looking at which “-ilities” are most important to architects. A software architect is responsible for the cross-cutting concerns and making sure that individual components of a large system can work together seamlessly to meet overall objectives. In 2021, four areas we feel architects are concerned with are designing for resilience, designing for observability, designing for portability, and designing for sustainability.

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Software Architecture and Design InfoQ Trends Report - April 2021

Lokesh Kumar

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Top 10 Trending Technologies Must Learn in 2021 | igmGuru

Technology has taken a place of more productiveness and give the best to the world. In the current situation, everything is done through the technical process, you don’t have to bother about doing task, everything will be done automatically.This is an article which has some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top trending technologies followed in 2021 and its impression in the coming future in the world.

  1. Data Science
    First in the list of newest technologies is surprisingly Data Science. Data Science is the automation that helps to be reasonable for complicated data. The data is produces in a very large amount every day by several companies which comprise sales data, customer profile information, server data, business data, and financial structures. Almost all of the data which is in the form of big data is very indeterminate. The character of a data scientist is to convert the indeterminate datasets into determinate datasets. Then these structured data will examine to recognize trends and patterns. These trends and patterns are beneficial to understand the company’s business performance, customer retention, and how they can be enhanced.

  2. DevOps
    Next one is DevOps, This technology is a mixture of two different things and they are development (Dev) and operations (Ops). This process and technology provide value to their customers in a continuous manner. This technology plays an important role in different aspects and they can be- IT operations, development, security, quality, and engineering to synchronize and cooperate to develop the best and more definitive products. By embracing a culture of DevOps with creative tools and techniques, because through that company will gain the capacity to preferable comeback to consumer requirement, expand the confidence in the request they construct, and accomplish business goals faster. This makes DevOps come into the top 10 trending technologies.

  3. Machine learning
    Next one is Machine learning which is constantly established in all the categories of companies or industries, generating a high command for skilled professionals. The machine learning retailing business is looking forward to enlarging to $8.81 billion by 2022. Machine learning practices is basically use for data mining, data analytics, and pattern recognition. In today’s scenario, Machine learning has its own reputed place in the industry. This makes machine learning come into the top 10 trending technologies. Get the best machine learning course and make yourself future-ready.

To want to know more click on Top 10 Trending Technologies in 2021

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Mobile App Development Trends to Watch Out For in 2021

Do you want to keep up with new mobile app development trends to better serve your clients? From AppClues Infotech here, you can check out our complete guide to mobile app development trends to watch out for in the year 2021.

For more info:
Website: https://www.appcluesinfotech.com/
Email: info@appcluesinfotech.com
Call: +1-978-309-9910

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Nigel  Uys

Nigel Uys

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The InfoQ Podcast: Software Architecture and Design InfoQ Trends Report—April 2021

An overview of how the InfoQ editorial team sees the Software Architecture and Design topic evolving in 2021, with a focus on what architects are designing for today.

Key Takeaways

  • In a cloud-native world, architects are reprioritizing the -ilities they consider most important. Innovative architects are designing for resilience, observability, portability, and sustainability.
  • Dapr and the Open Application Model are two ways to make building distributed systems easier, and it will be interesting to watch how they are adopted in the future.
  • The pendulum seems to be coming to rest, after swinging to extremes between monoliths and microservices. As a result, architects are relying on well-established patterns and designs that focus on high cohesion and low coupling, regardless of the underlying technology.
  • In fully-remote work environments, architects are finding new ways to communicate with their teams, and finding replacements for the water cooler chats which were useful for gathering knowledge.
  • The next generation of GraphQL features, notably GraphQL Federation and GraphQL Microservices, are showing where to go next after companies have strong adoption of GraphQL.

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Ruth  Nabimanya

Ruth Nabimanya

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Top 10 Big Data Trends in 2021 You Can't Afford to Ignore

Big Data is increasingly growing in scope in India, affecting the way industries function as well as boosting economies in its wake. Regardless of the size of an organisation, Big Data helps to make better organisational decisions and thereby brings order to the proceedings, making the world a more habitable place in its turn. Especially the transformations happened in Finance and Insurance Industry is tremendous.

At some point in the past, this was not the reality. Data was not always this “Big”. Only large-scale corporations had access to data then because only they could afford the technology that could process this data. In any case, their requirement was for a data analytics system that could take care of massive amounts of data, so they had hardly any choice in the matter.

Since that time, data has evolved at a terribly fast rate, allowing even smaller organisations to make use of the data they gather – all thanks to the internet and cloud technology. With big data cloud solutions, since they offer remote access to data using just the internet, there no longer remains any need for elaborate setups or data experts (who are not easy to acquire), thus saving these small organisations a fortune in internal spending.

The nuances that come with Big Data can now be handled just as easily by organisations that are intent on leveraging the value that it can bring. Moving beyond a simple IT Trend – as these things come and go, but mostly go, without being sustainable for development – Big Data has forged itself into the veins of the tech world, becoming one of its most prized assets.

And even as we write this, we are aware that Big Data is not one monolithic thing. It grows and changes to meet the demands of the various industries that it is a part of, seeking to solve its problems.

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