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Making life easier for developers

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Making life easier for developers


Petr Svoboda, CEO at Stratox Cloud Native, explains how CodeNow is making cloud-native development fast and enjoyable for everyone.

Could you start by telling us a little bit more about CodeNOW?

CodeNOW is a true startup. That means we are working hard to create a platform that simplifies cloud-native software development, especially when based on a micro-service architecture. We are trying to make cloud-native development fast and enjoyable for mere mortals. Especially, I would say, for developers who are not yet that savvy around the infrastructure and setup needs.    

We are able to abstract away the complexity of cloud infrastructure management and automate many of the common and repetitive tasks. The platform as such increases productivity and we hope it would make cloud-native development fun again.

When and how did you get started?

CodeNOW was founded in 2019 and the platform came out of beta in 2020. We are now looking to expand our company to the US and have set up a company there.

Setting up shop in the US is a serious step forward for you and the company!

Yep, you could say that. We have just opened a small office in San Francisco and have hired our first sales staff. The process is still slow but I’m happy it seems to be taking off, we are getting great feedback and have managed to land our first customers. We are very confident in the future and continued expansion.

Is CodeNow a part of the software delivery enterprise, Stratox?

Exactly. Stratox is essentially a set of companies. CodeNOW was bootstrapped originally from my own pocket combined with revenue generated by Stratox’s delivery of professional services. As not only us but also the market and investors saw the potential and CodeNOW kept growing, we decided to accept some investment and are using this to scale-up.

So how can companies benefit from using CodeNOW?

Well, CodeNOW was conceived during my time working as an architect for IBM where I was mostly responsible for delivering large transformation projects. I encountered a lot of inefficiencies in the development and deployment process and was shocked by the time wasted that was caused by developers basically twiddling their thumbs and waiting for others to finish their job. This led me to the thought that money could be saved by empowering developers with smart self-servicing technology. 

If you as a developer have the need to spin up a new database, cache, message broker, or similar infrastructure component, you really should not need to wait for others. Removing this delay in the development process will massively increase overall productivity and the value created during the software development process. 

So, that was the original idea. In addition, we found that especially developers employed at larger companies, or working as contractors are typically not getting a lot of time to self-learn or to be educated properly around cloud-native technology, tools, and best practices. 

We saw a big opportunity here by abstracting away a lot of complexity below Kubernetes and providing these developers with all the tools and best practices that would be understandable and available for immediate use straight ‘out of the box’.

I hear everyone talking about cloud-native development as this complicated beast. We want to prove the opposite and our mission with CodeNOW is to make developing for micro-service and distributed software architectures frictionless and sustainable.

There’s a lot of talk about Kubernetes but I’m not sure too many people know exactly what it is.

You are right, and unfortunately, not too many people exactly know when it is a good tool to use and when not.

So when would it be a good tool to use?

Well, I’d say it is suitable especially when you are solving horizontal scalability problems. Those cases when you need to operate hundreds or thousands of instances of your business logic. Kubernetes can be of great help with that. As a means to achieve high availability, resilience, etc. I’d say it has mainly a back-end focus. Front-end developers are used to slightly different tooling, and it’s easier for them to survive with their CDNs and other technologies. So not necessarily is Kubernetes the best thing for them. But for back-end developers, and especially for integration with Microsoft, I believe it’s the best tool out there.

Are there any particular trends that you’ve noticed around DevOps this year?

Yes, one trend that we are seeing is a need to almost divide your approach to DevOps. On one side on a platform level, where there’s a need for high-level automation within the enterprise or company. And on the other side an approach to DevOps that is very close to your application development practice and where there’s a need to primarily automate processes around the applications you have in development. 

Companies often think that as soon as they’re using CI/CD pipelines, they have their DevOps practice in place. You sometimes find someone wearing a DevOps badge who is telling the organisation that they are ‘ The DevOps Guy’. I do believe there still exists some lack of understanding however… 

Essentially, DevOps is more about cooperation and automation regardless of who is responsible. It is true that the sheer scale of required knowledge and technologies, makes this difficult, especially for developers, because there are huge infrastructure and operational aspects to it. Typically developers don’t want to bother with those and want to focus on creating the business logic of the app. 

So, a trend we’re seeing is many companies aiming to hire DevOps specialists and make them part of the development team. I personally think that this is probably not the best idea.

Skills always come up whenever we’re talking about technology. Are there enough people in DevOps?

It’s a really scarce resource. Looking at what it takes and what is involved during typical application development, we can see that even the developers themselves struggle in getting the job done. Any specialist is able to serve let’s say 10 people, and beyond that would become overloaded with requests. So the number of people needed that have the right skills is definitely much higher than what is currently available on the market. 

And I believe that’s why we currently see this strong wave in upcoming development platforms, all trying to automate different parts of the process for developers.

You are still a relatively new company and you are already moving to the US. Is there anything else that you’ll be focusing on in the coming years?

We’ve been finalising the SaaS version of our product, which is available immediately for smaller companies. We believe this version is of great value, especially for non-tech founders for example. Our ideal customers for this product are startups that need to manage remote teams and founders who need to take care of remote developers. Companies where speed to market and ease of development is of the essence.

On the other hand, we continue to serve enterprises. In enterprise business, we have proven to be successful with offering CodeNOW as a rapid prototyping tool for MVPs and prototypes that are built cloud-native from the start. 

And I think it’s important to mention that we have reached ISO27k certification, so we therefore can offer enterprises and any company the certainty that CodeNOW is safe and secure from the data perspective. 

Thank you so much for your time! I wish you all the best with your US adventure

Thank you for this interview and yes I’m sure this is going to be a blast! 

Stratox Cloud Native will be in attendance at TechEx Europe in Amsterdam on September 20-21. Register for your free ticket here.

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TEKNOLOGI

How Sports Organizations Are Using AR, VR and AI to Bring Fans to The Game

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How Sports Organizations Are Using AR, VR and AI to Bring Fans to The Game

AR, VR, and AI in sports are changing how fans experience and engage with their favorite games.

That’s why various organizations in the sports industry are leveraging these technologies to provide more personalized and immersive digital experiences.

How do you get a sports fan’s attention when there are so many other entertainment options? By using emerging technologies to create unforgettable experiences for them! Innovative organizations in the sports industry are integrating AR, VR and AI in sports marketing and fan engagement strategies. Read on to discover how these innovative technologies are being leveraged to enhance the game-day experience for sports fans.  

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AUGMENTED REALITY IN SPORTS

AR is computer-generated imagery (CGI) that superimposes digitally created visuals onto real-world environments. Common examples of AR include heads-up displays in cars, navigation apps and weather forecasts. AR has been around for decades, but only recently has it become widely available to consumers through mobile devices. One of the best ways sports organizations can use AR is to bring historical moments to life. This can help fans connect to the past in new ways, increase brand affinity and encourage them to visit stadiums to see these experiences in person. INDE has done just that, creating an augmented reality experience that lets fans meet their favorite players at the NFL Draft.

VIRTUAL REALITY IN SPORTS

VR is a computer-generated simulation of an artificial environment that lets you interact with that environment. You experience VR by wearing a headset that transports you to a computer-generated environment and lets you see, hear, smell, taste, and touch it as if you were actually there. VR can be especially impactful for sports because it lets fans experience something they would normally not be able to do. Fans can feel what it’s like to be a quarterback on the field, a skier in a race, a trapeze artist, or any other scenario they’d like. The VR experience is fully immersive, and the user is able to interact with the content using hand-held controllers. This enables users to move around and explore their virtual environment as if they were actually present in it.

ARTIFICIAL INTELLIGENCE IN SPORTS

Artificial intelligence is machine intelligence implemented in software or hardware and designed to complete tasks that humans usually do. AI tools can manage large amounts of data, identify patterns and make predictions based on that data. AI is already influencing all aspects of sports, from fan experience to talent management. Organizations are using AI to power better digital experiences for fans. They’re also using it to collect and analyze data about fan behavior and preferences, which helps organizers better understand what their customers want. AI is also changing the game on the field, with organizations using it to make better decisions in real time, improve training and manage player health. Much of this AI is powered by machine learning, which is a type of AI that uses data to train computer systems to learn without being programmed. Machine learning is the reason why AI is able to evolve and get better over time — it allows AI systems to adjust and improve based on new data.

MERGING THE REAL AND VIRTUAL

VR and AR are both incredible technologies that offer unique benefits. VR, for example, is an immersive experience that allows you to fully imagine and explore another virtual space. AR, on the other hand, is a technology that allows you to see and interact with the real world while also being able to see digital content superimposed on top of it. VR and AR are both rapidly evolving and can have a significant impact on sports marketing. By using both technologies, brands and sporting organizations can create experiences that bridge the real and virtual. This can help sports marketers create more engaging experiences that truly immerse their customers in the game.

Technologies like AR, VR and AI in sports are making it possible for fans to enjoy their favorite games in entirely new ways. AR, for example, can help sports lovers experience historical moments, VR lets them immerse themselves in the game, and AI brings them more personalized and immersive digital experiences. The best part is that sports fans can also use these technologies to interact with one another and feel even more connected. 

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TEKNOLOGI

The Dark Side of Wearable Technology

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The Dark Side of Wearable Technology

Wearable technology, such as smartwatches, fitness trackers, and other devices, has become increasingly popular in recent years.

These devices can provide a wealth of information about our health and activity levels, and can even help us stay connected with our loved ones. However, there is also a dark side to wearable technology, including issues related to privacy, security, and addiction. In this article, we will explore some of the darker aspects of wearable technology and the potential risks associated with these devices.

1. Privacy Concerns

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Source: Deloitte

Wearable technology can collect and transmit a significant amount of personal data, including location, health information, and more. This data is often shared with third parties, such as app developers and advertisers, and can be used to track and target users with personalized advertising. Additionally, many wearable devices lack robust security measures, making them vulnerable to hacking and data breaches. This can put users’ personal information at risk and expose them to identity theft and other cybercrimes.

2. Security Risks

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Source: MDPI

Wearable technology can also pose security risks, both to the individual user and to organizations. For example, hackers can use wearable devices to gain access to sensitive information, such as financial data or personal contacts, and use this information for malicious purposes. Additionally, wearable technology can be used to gain unauthorized access to secure areas, such as buildings or computer systems, which can be a major concern for organizations and governments.

3. Addiction Issues

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Source: Very Well Mind

The constant connectivity and access to information provided by wearable technology can also lead to addiction. The constant notifications and the ability to check social media, emails and other apps can create a constant need to check the device, leading to addiction-like symptoms such as anxiety, insomnia and depression.

4. Health Risks

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Source: RSSB 

Wearable technology can also pose health risks, such as skin irritation and allergic reactions caused by the materials used in the device. Additionally, the constant use of wearable technology can lead to poor posture and repetitive stress injuries, such as carpal tunnel syndrome. It is important for users to be aware of these risks and to take steps to protect their health, such as taking regular breaks from using the device and practicing good ergonomics.

Slutsats

Wearable technology has the potential to be a powerful tool for improving our health, fitness, and overall well-being. However, it is important to be aware of the darker aspects of wearable technology and the potential risks associated with these devices. By understanding the privacy, security, addiction, and health risks associated with wearable technology, users can take steps to protect themselves and their personal information. Additionally, by being aware of these risks, organizations can take steps to protect their employees and customers from the potential negative effects of wearable technology.

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TEKNOLOGI

Data Science & Machine Learning Trends You Cannot Ignore

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Data Science & Machine Learning Trends You Cannot Ignore

Digital transformation has become the new mantra for companies to thrive in the digital age.

Data science and machine learning are two major assets in the digital transformation era.

Digital transformation has become a necessity for businesses. It is the way forward for all businesses, regardless of size and scope. However, it should be more than simply digitizing your processes. Digital transformation should be about re-imagining your business processes with cutting-edge technology and artificial intelligence like data science and machine learning. This would help eliminate manual labor and accelerate growth with collaborative technologies like chatbots, virtual assistance and augmented reality, while having a seamless user experience across all channels – online, mobile app and website – with the help of an integrated CMS that can adapt to any screen size.

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With the above thoughts in mind, let’s look at four new DSML trends you cannot ignore.

Intelligent Automation

Most digital transformation initiatives focus on creating a digital front-end, with a strong focus on customer-facing channels. While that’s obviously important, a lot of organizations forget about the back-end and the data that’s being used by their systems. This is a mistake, as intelligent automation can help bridge the gap between the front-end and the back-end systems and processes. It’s a key element that can help organizations curate data, which is then used to enrich customer experiences and create personalized marketing campaigns, among many other things. An integrated CMS with an intelligent automation system can automatically pull customer data into content, provide real-time insights about customers and their behavior, and suggest personalized content for different channels.

Augmented Reality

Augmented reality lets you digitize your business processes by visualizing information. It can help you create exciting customer experiences by enabling them to see and interact with information in their physical environment. This technology has been used for gaming and entertainment for a long time, but now businesses are leveraging it for digital transformation. With augmented reality, you can create interactive product catalogues, digital manuals and helpful visual guides to engage customers and employees.

Chatbots and Voice Recognition

Digital transformation is about more than just creating engaging customer experiences; it’s also about making sure that those experiences are accessible on any platform. Coupled with voice recognition, chatbots can be used across all customer channels, including websites and apps, to provide information, schedule appointments, and answer basic questions. A key element of digital transformation is making your business accessible to customers no matter where they are or what device they’re using.

Unified Experience Across Devices

A unified experience across devices ensures that customers experience the same content and functionality regardless of what platform they’re using. For example, let’s say a customer wants to learn more about your product. With a unified experience across devices, the customer would be able to access information about the product from their computer or mobile device. This way, if a customer is on the go and has limited screen real estate, they can still access the information they need.

 

A digital transformation is necessary for businesses to grow and thrive. However, it takes more than just digitizing processes. With the help of data science and machine learning, organizations can reimagine how they work with new technology and tools. Thereby, they can create an integrated experience across devices and channels, with a seamless flow for customers and employees.

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